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    EVALUATION AND APPLICATION OF LAKE ENVIRONMENTAL GOVERNANCE PERFORMANCE BASED ON PSR MODEL
    DU Xiaorong, LIU Yuanhang
    Resources & Industries    2022, 24 (3): 146-158.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.004
    Abstract91)      PDF(pc) (2193KB)(558)       Save
    Since “Guidelines for Implementing Lake Chief System” was issued on 1/4/2018, this policy has not been well implemented, and neither the lake environment well governed. This paper, aiming at quantitatively evaluating lake environment governance performance, uses pressure-state-response (PSR) model to establish an index system to evaluate the lake environmental governance performance from environment, economy and society, and applies analytic hierarchy process to determine the weights of indicators, and combines with fuzzy comprehensive evaluation to evaluate Gaoyou lake's environmental governance performance, Tianchang city, Anhui province. The results show its performance has a total score at 0.529 8, at a “alarming” status, and its pollution emission, eutrophication and water quality control in tier 2 indicators have scores at 0.3, such a poor level indicating the three are the root causes. In tier 3 indicators, solid waste discharge intensity, water-soil erosion rate, population density, population urbanization level, comprehensive nutrition index, solid waste processing rate, key potable water sources quality qualification are below 0.5, suggesting a poor handling of solid wastes which leads to a larger water-soil erosion, a eutrophicating state and a unqualified water quality. This paper presents suggestions on controlling pollution at the source and water-soil erosion, focusing on eutrophication, setting up information controlling platform, promoting a coordinated development of population and environment, boosting a combination of lake performance results with responsibilities, and establishing a unified Gaoyou lake chiefs system to improve lake environmental governance performance.
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    TEMPORAL-SPATIAL IMBALANCE OF PROVINCIAL WATER USE EFFICIENCY DYNAMIC EVOLUTION AND DRIVES BASED ON GEOGRAPHIC DETECTOR
    ZHANG Hengquan, GU Qianwen, ZHANG Chenjun
    Resources & Industries    2022, 24 (3): 81-93.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.012
    Abstract123)      PDF(pc) (5234KB)(435)       Save
    China's water resources is characterized by heterogeneously spatial distribution, low use efficiency, and severe supply-demand conflict. This paper measures China's provincial water use efficiencies, and studies their temporal-spatial evolution and driving mechanism, providing reference for China to improve water use efficiencies, to boost ecological civilization construction and sustainable development. Super-efficiency SBM model is used to estimate China's 30 provinces' (cities) water use efficiencies from 2004 to 2019, and non-parameter kernel density is applied to illustrate their temporal-spatial evolution from two levels, nationwide and eastern, middle and western regions. Spatial visualization, spatial autocorrelation and cold-hot point are employed to depict their spatial pattern evolution from spatial differentiation and spatial correlation, and geographic detector is used to explore the temporal-spatial heterogeneity of drives and interactive mechanism among drives. The water use efficiencies show a falling trend in a fluctuated manner in the whole China and in eastern, central and western, with decreasing province counts of higher efficiencies, and increasing of lower, suggesting provincial efficiency variance has experienced an enlarging-diminishing evolution. China's water use efficiency shows a distributing pattern of eastern-middle-western, downwards, spatially, existing an outstanding positive spatial auto-correlation with a high-high and low-low clustering feature, and showing a “U-shaped” evolution of strong-weak-strong. From 2004 to 2019, China's water use efficiency displays an intensifying spatial differentiation with polarization of “eastern hot-western cold”, hot ranges shrinking then dispersing, and cold ranges shrinking then stabilizing. All drives largely vary with periods and regions. Q values of drives from 2004 to 2019 has been outstandingly increased with a diminishing variance. The major drives are becoming diversified, but economic level and urbanization level are always the key drives. After any drive is interacting with the other, the both will be increased, or in a non-linear increased, indicating that the two drives can jointly will intensify the spatial differentiation of water use efficiency.
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    IMPACTS OF GOVERNMENTAL SUBSIDIARY ON COMPANIES' INNOVATIVE PERFORMANCE IN NEW ENERGY SECTOR
    XIAO Yu, LU Yuyang
    Resources & Industries    2022, 24 (3): 126-133.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.002
    Abstract155)      PDF(pc) (1097KB)(394)       Save
    Innovation and green concepts are important in “the 14th  Five-Year Plan”. Governmental subsidiary as a vital policy tool in supporting enterpries' R&D can stimulate companies to boost research inputs and increase their innovative motivation. To explore how governmental subsidiary impacts the innovative performance of new energy companies, R&D investment are used as medium variables. This paper selects 106 state-owned and no-state-owned new energy companies listed in 2015 to 2019 CSMAR database and Wind database which have high-research-inputs and low-short-term-return in new strategic industries. Explained variable as companies' innovative performance, explaining variable as governmental subsidiary, adjusting variable as property ownership, medium variable as research input intensity. Governmental subsidiary on new energy sector is used to check the impacts of its on companies' innovative performance through research input intensity as medium effect and companies' property ownership as adjustment. Results show a positive relation between governmental subsidiary and new energy sector's innovative performance, a medium effect of research input intensity between the both largely varying with companies' property ownerships. Under the marketing economy, governmental subsidiary is a direct stimulus ensuring new energy company to survive and develop. This paper suggests governments supply financial and taxation policies. However, some companies unlawfully use this subsidiary on non-research input, which needs to be regulated after companies are granted the subsidiary. Compared with state-owned companies, non-state-owned obtain less resource with a weaker ability to resist market risks. This paper suggests governments support non-state-owned more to urge them to produce a higher performance.
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    GREEN DEVELOPMENT EFFICIENCY MEASUREMENT AND FACTORS OF YANGTZE RIVER ECONOMIC ZONE UNDER PERSPECTIVE OF CARBON EMISSION
    MA Jun, WU Linling, LU Yuqin
    Resources & Industries    2022, 24 (3): 71-80.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.010
    Abstract185)      PDF(pc) (2844KB)(389)       Save
    Green development, an effective approach to coordinating ecological protection, promoting economic development and reducing carbon emission, is becoming an objective of global sustainable development and human's development focus. China's economy is entering a quality developing status under a rising resources and environmental pressures. Cities are centers for modern economic growth that makes green efficiency an unavoidable way in urban transformation. This paper uses super-efficiency undesired SBM model  to measure the green development  efficiency of 11 Yangtze River economic zone provinces (cities) and their temporal-spatial evolution, compared with their green developing efficiencies without consideration of carbon emission, and applies decision making trail and evaluation laboratory technology (DEMATEL) to identify the key factors. Carbon emission in Yangtze River economic zone has been rising over years, impacting the green developing efficiency. The green developing efficiency has fallen largely in the down-stream of Yangtze River under the environmental constraints. Yangtze River economic zone shows a rising green developing efficiency, varying with regions, down-, upper- and middle-stream downwards. Factors such as industrial structure, research input, openness, environmental regulations and vegetation coverage rate positively play an outstanding role in green developing efficiency under perspective of carbon emission. A low green developing efficiency lies in over resource consumption and over pollution emission. Environmentally, carbon emission is becoming a hard point for increasing green developing efficiency amid urban development. This paper presents suggestions on improving ecological environment and reaching carbon neutralization to ensure a higher resource utilization and a stronger environmental protection, helpful in building Yangtze River delta as a green integrated developing demonstration. 
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    RISK ASSESSMENT OF MINERAL RESOURCES INVESTMENT IN “THE BELT AND ROAD” NATIONS UNDER ANTI-GLOBALIZATION
    SUN Minghao, LIAO Qiumin
    Resources & Industries    2022, 24 (3): 169-180.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.001
    Abstract153)      PDF(pc) (1131KB)(347)       Save
    Cooperation with “the Belt and Road” nation in developing their mineral resources can compensate China's mineral supply, but uncertainty exists with potential risks under the current anti-globalization. This paper, aiming at assess the risks, establishes a risk assessment index system of overseas mineral resources investment in “the Belt and Road” nations from political risks, economic risks, natural environmental risks, mining risks and anti-globalization risks. Indictor weights are given via entropy, and Topsis comprehensive assessment model is used to evaluate mineral resources investment risks in 18 “the Belt and Road” nations which have abundant mineral resources during 2009 to 2020, with risks classified in “the Belt and Road” nations during 2021 to 2025 according to GM(1, 1) model. The results show: 1) Mining investment risks are mainly derived from resources mining and natural environment, but anti-globalization risk can not be ignored; 2) Nations with medium to low risks develop to a low risk status, and those with high to medium risks develop to medium risk status. Generally nations' risks in “the Belt and Road” are decreasing as “the Belt and Road” initiative advances; 3) Among 18 nations in “the Belt and Road” in 2021 to 2025, investment risk is low in Uzbekistan, Vietnam, Russia, Thailand, Laos and Cambodia, medium in Turkey, India, Argentina, Ukraine, Mongolia and Indonesia, and high in Tajikistan, Kazakhstan, Malaysia, Philippines, Kyrgyzstan and Poland.
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    URBAN SPATIAL NETWORK STRUCTURE FROM PERSPECTIVE OF “FLOW SPACE” IN CHENGDU-CHONGQING (CHENG-YU) DUAL CITY ECONOMIC CIRCLE
    WANG Ziyou, PAN Yuhong
    Resources & Industries    2022, 24 (4): 103-112.   DOI: 10.13776/j.cnki.resourcesindustries.20220520.002
    Abstract197)      PDF(pc) (4668KB)(336)       Save
    Regional coordinated development has become an internal need to establish a high-quality land spatial planning and to resolve imbalanced issues with urban clusters as the core economic circle. To realize regional integration of Cheng-Yu dual city economic circle and multiple-hierarchy coordinated development, this paper combines the four circulating productive resources, population flow, information flow, technical flow and economic flow, with urban spatial structure, and applies social network analysis method to analyze the spatial network structure of Cheng-Yu dual city economic circle from points, lines and planes. Inside the circle, Chengdu and Chongqing are two dual cores. Regional interaction shows a better internal urban centrality. Core cities' do not exert their radiation role on their vicinity. High asymmetry exists inside the city linkage of economic circle, with the exception of Cheng-Yu axis having a symmetrical linkage, leaving urban connection to be improved. Outskirt cities of economic circle have a weak connection with outside. There is locally clustering with variable connection within the region. The global city clustering pattern has not yet formed, with no enough trans-provincial or transregional connection. West of Cheng-Yu dual city economic circle is along Chengdu as the major developing center. In order to construct an integrated Cheng-Yu dual city economic circle and a multiple-hierarchy coordinated development pattern, this paper presents suggestions on setting up a shared transregional cooperation, intensifying the central developing drives, increasing the absorbing resources capacity of outskirt cities, focusing on the transportation construction and information integration inside the circle, boosting the leading roles of core cities, and promoting technical exchanges and economic integration among cities.
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    IMPACTS OF WATER RESOURCE TAX REFORM ON INDUSTRIAL WATER USE EFFICIENCY INWATER SHORTAGE AREAS
    TIAN Guiliang, GAO Tingyan
    Resources & Industries    2022, 24 (3): 43-52.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.008
    Abstract149)      PDF(pc) (1113KB)(324)       Save
    Nation's water resource fee-to-tax reform is a vital policy in saving water resources and in pushing sustainable development, which has reached a large achievement in increasing water use efficiency generally, verified by many scholars. As an important growth pole of China's economic development, Industry is also the main sector of water demand. But if has the industrial water use efficiency been also increased? Given that China had not carried out this reform, this paper uses GM(1, 1) model to estimate the industrial water use efficiency after water resource fee-to-tax reform, and analyzes the impacts of water resource tax reform policy on industrial water use efficiency. Impacting factors such as water resource occurrences, technical advances, environmental regulations, water use structure, social and industrial developing sizes are selected for a multiple linear regression analysis which reveals that water resource fee-to-tax reform effectively increases the industrial water use efficiency, decreases industrial-value-added water use per 10k RMB. As such reform goes on, it will more be productive. Technical advances largely promote the industrial water use efficiency, belonging to companies' and governmental expenditure under governmental intervention. Water resource tax reform can have microscopic economic units improve technologies so as to increase industrial water use efficiency, to reduce overall industrial water use and to mitigate the pressures of water shortage. This paper suggests on saving water as a priority, boosting inputs on research, promoting water-saving devices and approaches, fastening companies' transformation and upgrading, improving water resource tax reform mechanism under a coalition of governments and markets. This study presents references for the nationwide implementation of water resource tax reform.
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    CARBON EMISSION FEATURES AND PEAK PREDICTION IN JIANGSU PROVINCE
    GAO Shan, CAO Mingxia, LI Dan
    Resources & Industries    2023, 25 (3): 1-9.   DOI: 10.13776j.cnki.resourcesindustries.20230509.001
    Abstract229)      PDF(pc) (1502KB)(319)       Save
    Carbon emission estimation and peak planning are effective local attempts to materialize nation ‘s “dual-carbon” objective. This paper, based on the connection between carbon emission estimation and carbon peaking forecast,estimates Jiangsu ‘s carbon emission from energy consumption, industrial and agricultural production and waste disposal,overviews the phased features of regional carbon emission, energy use and industrial structures, and uses Kaya formula to set up key factors,which are employed to forecast the developing potential of population, economic growth and energy structures. Carbon reduction paths and carbon peaking plans are designed under low, middle and high carbon peaking scenarios. Jiangsu ‘s carbon emission from 2005 to 2019 shows a fluctuated increment at a gentle speed, and increases by 1.11 times, mainly contributed by high-carbon energy and industrial structures, up to 90% from energy consumption and industrial production, along with rice planting and solid waste incineration. Future carbon emission is closely related to population, economic growth, energy intensity, energy structure. Among three carbon peaking scenarios from 2020 to 2030, Jingsu ‘s carbon emission will peak at 1.026 billion tons in 2027 in low constraint plan, three years earlier than in middle and high constraint plans with extra reduction of 0.054 and 0.112 billion tons respectively. Low constraint plan is consistent with international rules, favorable for achieving carbon reduction and carbon neutralization. This paper suggests controlling carbon increment scale, promoting implementation of low constraint plan, focusing on clean replacement of renewable energy and low carbon technical applications of manufacturing, transportation, construction and agriculture while maintaining economic stability.
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    Governmental allowance, enterprise ESG and green innovation
    JIANG Rongmei, CHEN Guisong
    Resources & Industries    2022, 24 (6): 90-102.   DOI: 10.13776/j.cnki.resourcesindustries.20221024.003
    Abstract643)      PDF(pc) (1240KB)(317)       Save

    In order to construct a green innovative system oriented by governments, operated by enterprises and public involved, all levels of governments issue series of supportive policies via governmental allowance in powering green innovation. It has been an important research topic to study the impacts of governmental allowance on green innovation, and to maintain it as a long-term drive. This paper clarifies the relation between governmental allowance and green innovation, selects 864 Chinese A-share listed companies in Shanghai and Shenzhen from 2016 to 2020 as the research sample, uses “resources-ability-action” model to incorporate the enterprise’s ESG performance into the analysis framework of governmental allowance and green innovation, explore the impacting mechanism of governmental allowance on green innovation from the perspective of enterprise’s ESG performance, verified by fixed effect model. The results show that governmental allowance have a significant positive impact on green innovation and can directly promote the green innovation of enterprises. Governmental allowance also plays an outstandingly positive role on enterprises’ ESG, encouraging enterprises to care about environmental protection,  to fulfil social responsibilities and to increase governance performance. Enterprises’ ESG plays a partial intermediary role between governmental allowance and green innovation. Governmental allowance can impact enterprises’ green innovation through their ESG in environmental responsibilities and governance performance, but enterprises’ social responsibilities do not play a media role between governmental allowance and green innovation. Compared with a lower ESG level, governmental allowance plays a stronger role in enterprises’ green innovation under a higher ESG level. Governments shall manoeuver allowance to reach a high-quality green development, which requires governments enlarge allowance in an appropriate way to improve ESG. Use of such allowance shall be under strict supervision through a sound ESG evaluation system. Governmental allowance is suggested to be differentiated based on enterprises’ ESG levels to increase the use efficiency of governmental allowance.

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    A CASE STUDY ON YANGTZE RIVER DELTA: ECOLOGICAL COMPENSATION AND MACROSCOPIC ECONOMIC EFFECTS BASED ON CGE MODEL
    LOU Wensheng, TIAN Guiliang
    Resources & Industries    2022, 24 (3): 134-145.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.003
    Abstract117)      PDF(pc) (2783KB)(315)       Save
    During the long term practice of Yangtze River delta development, how to balance eco-environmental protection and economic development is a key topic for its high-quality integration. The current study has largely explored the environmental governance and ecological compensation, but quantitatively lacks of determination of ecological compensation standards, macroscopic economic effects of ecological governance. This paper, based on the traditional CGE model, introduces ecological resource into economic system as a productive element, and regards ecological environment as an independent unit with emphasizing the value contribution of ecological system in the social economy activities. Green social accounting matrix (SAM) is established on the basis of ecology element, and macroscopic CGE model is built according to ecology element input and ecological system account. This paper uses Yangtze River delta data to correct the ecological values accounting pricing system, a quantitative tool in marking its ecological servicing values in Yangtze River delta. SAM is employed to study the impacts of ecological compensation at different levels on macroscopic economy form GDP, residents' income, companies' income, governmental income and residents' consumption levels. The results show that increment of four scenarios, value-added taxation rate, transfer payment rate of residents to eco-environment, and that of companies to eco-environment, and that of governments to eco-environment can increase ecological compensation, but the aftermath varies if at the sample increment by means of different approaches. Taking increment at 30% as an example, transfer payment rate of governments to eco-environment largely improves the ecological compensation level with an increment by 10.01%, on the top among the four scenarios, followed by transfer payment rates of companies to eco-environment and residents to eco-environment, with increment by 2.77% and 1.01%, respectively. And the last one is increment of value-added taxation rate, only by 0.77%. Compared with other policy tools, increment of value-added tax will largely impact GDP and residents' welfare level. GDP will drop by 0.002 5% and residents' welfare level will drop by 0.002 7% if vale-added tax is increased by 30%.
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    DISTRIBUTION OF KNOWLEDGE-INTENSIVE SERVICE INDUSTRY AGGREGATION AND ITS SPATIAL OVERFLOWING EFFECT ON ECONOMY IN YANGTZE RIVER DELTA
    YU Yana, YUE Jingui
    Resources & Industries    2022, 24 (4): 133-144.   DOI: 10.13776/j.cnki.resourcesindustries.20220422.002
    Abstract109)      PDF(pc) (1665KB)(266)       Save
    Spatial Gini coefficient and locality entropy are used to estimate the aggregation degree and distribution of knowledge-intensive service industry and its sub-sectors in 41 prefectures in Yangtze River Delta from 2004 to 2018, and spatial Dubin model is applied to verify its impacts on the local economy and its spatial overflowing effect on the vicinity. Spatial Gini coefficient reveals that aggregation degree of commercial service sector is the largest. The aggregation index is at 0.04-0.06, generally in a U-shaped trend. Locality entropy of less than one-third cities is larger than 1 with Shanghai as center, Hangzhou, Nanjing and Hefei as sub-centers, while other cities are of low aggregation degree. Spatial Dubin modelling results show a remarkable spatial overflow effect on economy, varying with sectors. Financial service sector aggregation has constraints on the local economy, but little on the vicinity,while information technology and commercial service sector do not have a significant influence on the local economy, but have siphoning effect on the vicinity. Scientific servicing has a little influence. Generally, knowledge-intensive servicing industry aggregation largely promotes the local economy and vicinity in Yangtze River Delta,varying with sectors and regions. This paper presents suggestions on promoting a sound, balanced knowledge-intensive service industry to avoid industrial simplification, boosting it in the underdeveloped areas, optimizing its spatial aggregation and diminishing the gap between the core cities and remote cities.
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    TEMPORAL-SPATIAL DIFFERENTIATION AND EMISSION REDUCTION STRATEGY OF JIANGSU'S INDUSTRIAL CARBON EMISSION
    LU Jiaqin, GAN Xinhua
    Resources & Industries    2022, 24 (4): 150-156.   DOI: 10.13776/j.cnki.resourcesindustries.20220401.001
    Abstract166)      PDF(pc) (3757KB)(258)       Save
    Temporal-spatial distribution of industrial carbon emission is key to making carbon emission strategy and to promoting industrial low carbon transformation. This paper, according to Jiangsu's 2010 to 2019 industrial coal, coking coal, natural gas, gasoline, kerosene, diesel oil and fuel oil data, uses carbon emission coefficient to estimate industrial carbon emission in Jiangsu's thirteen prefectures, and applies ArcGIS to draw the temporal-spatial distribution map. Spatial auto-correlation method is used to calculate the overall Moran's index of industrial carbon emission by means of Geoda software with LISA clustering map worked out. Spatial core model is used to map carbon emission core migration tracks from 2010 to 2019.Finally, this paper presents suggestions on carbon reduction. The results show a stably decreasing industrial carbon emission over the decade in Jiangsu province, obviously in unit industrial GDP, suggesting a good achievement in carbon reduction. However, industrial carbon emission varies with regions, majorities with relatively high and low emissions, and high in the south and low in the north. Each prefecture should make differentiated carbon reduction measures to avoid rigidly uniform, with emphasis on southern Jiangsu. The spatial distribution of Jiangsu's carbon emission is of outstandingly positive spatial correlation showing high-high clustering in the south and lowlow clustering in the north (except Xuzhou city), but not conspicuous in most cities. Carbon emission core has little changes, always within Yangzhou city, verifying that Jiangsu's carbon emission is still south-high-north-low.
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    SUSTAINABLE DEVELOPMENT LEVEL AND SPATIAL PATTERN OF RURAL LIVING ENVIRONMENT IN YANGTZE RIVER ECONOMIC ZONE
    ZHANG Yunning, ZHU Hongyan, OUYANG Hongxiang, et al
    Resources & Industries    2022, 24 (4): 42-54.   DOI: 10.13776/j.cnki.resourcesindustries.20220331.001
    Abstract178)      PDF(pc) (3768KB)(247)       Save
    Improving rural living environment and realizing its sustainable development is a key task for China's new rural construction, vital for implementation of a rural revitalization strategy.This paper, based on sustainable development theory of rural living environment, uses factor breakdown structure and subjective/objective weighing to establish an evaluation index system for sustainable development of rural living environment from the perspective of natural and social resources, and applies development level (sustainable development potential), coordination index (sustainable development trend) to set up a measurement model, which is employed to comprehensively evaluate their sustainable development level and spatial pattern of 11 provinces' rural living environment in Yangtze River Economic Zone with an attempt to improve the sustainable development level of rural living environment and to increase regional balanced development. ArcGIS is used to classify development level into four categories, high, relatively high, relatively low and low, and development coordination degree into three, high, moderate and low. Clustering features are analyzed at overall and local levels from auto-correlation perspective with causes explained from resource allocation and development. Results show a regional imbalance, with sustainable development level of rural living environment, high in the east and low in the west, and development coordination, high in the central and low in the west. Sustainable development level of rural living environment is of outstanding global and local clustering/dispersing features with eco-environment and economy systems of strongest spatial clustering, and social culture system of strongest dispersing. High-level hot spots of sustainable development are concentrating on Yangtze River Delta and low-level cold spots on Yunnan and Guizhou. This paper presents suggestions on orderly conducting economic activities, enhancing environmental and cultural construction, overall planning regional development in order to optimize rural living environment.
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    GREEN EFFICIENCY OF INDUSTRIAL WATER RESOURCE IN YANGTZE RIVER ECONOMIC ZONE BASED ON WATER FOOTPRINT AND SBM-MALMQUIST MODEL
    WANG Baoqian, LI Xinran
    Resources & Industries    2022, 24 (3): 21-31.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.015
    Abstract134)      PDF(pc) (1855KB)(244)       Save
    China is one of countries which have a surging water supply-demand conflict. Water resource as a necessity for human's survival and economy has always been over used. This paper studies the green efficiency of industrial water resources in Yangtze River economic zone, uses environmental pollution as negative factor based on the connotation of water resource efficiency, and re-defines and replenishes the concept of green efficiency of industrial water resource. Through theoretical and experimental analysis, this paper discusses the factors and temporal-spatial features of green efficiency of industrial water resource, and presents a path to upgrading the green efficiency. By means of blue and gray water footprints, this paper uses triple-staged super-efficiency SBM model and Malmquist-Luenberger indicators decomposition to select industrial labors, industrial fixed asset investment and blue water footprint as input variables and industrial increment as expected output variable, and gray water footprint as non-expected output variable. A green efficiency of industrial water resource index system is established to estimate their 2009—2019 green efficiencies of industrial water resource of 11 provinces (cities) in Yangtze River economic zone. Blue water footprints of the whole Yangtze River economic zone and regional has volatility, while the gray water has a downward trend. With removal of environmental factor and random errors, it is found that environmental factor obviously constrains the pure technological efficiency, leaving a room to improve to size efficiency and comprehensive technological efficiency. The factors of the whole elements productivity index changes vary with provinces and stages, but technical advance is the major one, This paper suggests that provinces in Yangtze River economic zone improve size efficiencies through their actual industries and resources and upper-down stream supply chain combination, and increase outputs and decrease water pollution from optimizing input/output elements.
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    A CASE STUDY ON YANGTZE RIVER DELTA: INDUSTRIAL GREEN GDP ACCOUNTING AND DEVELOPING EFFICIENCY
    SUN Fuhua, CAI Binbin, SHEN Juqin
    Resources & Industries    2022, 24 (3): 32-42.   DOI: 10.13776/j.cnki.resourcesindustries.20220602.001
    Abstract117)      PDF(pc) (2851KB)(242)       Save
    Yangtze River delta industrial economy is thriving on water with water use issues, long constrained by water resource and water environment. Under a guideline of water resource management concept of “determining and measuring water, strengthening the rigid constrains of water resources”, paying attention to water resources conservation and water enviroment protection and promoting regional green development are the key to breaking through the bottleneck of industrial development. This paper, focusing on the double constraints of water resource and water environment on industrial economic green development, studies the industrial green GDP and its development efficiency changes and regional variance in Yangtze River delta under the double constraints. Based on Yangtze River Delta three provinces and one city's 2006-2019 data, this paper uses adjusted resource loss value to amount the industrial green GDP, which is used as output indicator, and applies super-efficiency SBM model to evaluate its industrial green development efficiency. The results show that the overall industrial green GDP proportion in Yangtze River delta has been rising over years, while a falling economic loss of consumption reduction and degradation, and an improving water resource wasting and pollution. Green development efficiency has been generally rising over years, with a diminishing variance with unconstrained development efficiency. Geographically, economic developing efficiency is at a higher level in Shanghai and Jiangsu, lower in Zhejiang and Anhui, indicating that industrial economy in Yangtze River delta has a less dependence on its water resource and environment, leaving a great room to improve. In order to decrease resource consumption and environmental costs and further to reduce the dependence of industrial economy on water resource and environment, and to improve industrial green developing efficiency, this paper presents suggestions on expediting resource utilization and environmentally technical innovation, reducing water consumption and wasting from source, decreasing industrial pollution to constrain a falling water quality, optimizing water resource pricing mechanism, balancing supply-demand, utilization efficiency, recycling rate, conducting differentiated pricings, and constructing a united water resource administration so as to diminish a regional variance. 
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    RESEARCH & DEVELOPMENT INVESTMENT INTENSITY AND PERFORMANCE OF PHOTOVOLTAIC COMPANIES ADJUSTED BY FINANCIAL LEVERAGE AND EQUITY NATURE
    XIAO Yu, GONG Guiying
    Resources & Industries    2022, 24 (4): 21-29.   DOI: 10.13776/j.cnki.resourcesindustries.20220307.001
    Abstract215)      PDF(pc) (1255KB)(239)       Save
    Technical innovation theory is used to study the relation between research & development innovation and performance of Chinese photovoltaic companies, and financial leverage is incorporated into model to further study variances between state-owned and private companies, providing decision-making references for photovoltaic companies to make R&D investment strategies and to make performance plans. This paper, based on 100 stock A-listed photovoltaic companies' panel data from 2016 to 2020, uses Hausman test and random effect to study the adjustment of financial leverage and equity nature with R&D input intensity as independent variable and companies' performance as dependent variable. The results show an upside-down “U-shaped” relation between them, increase of input can promote companies' performance when input is insufficient; however, this promotion may become adverse as R&D input increases. Financial leverage plays a negative role that their relation can be weakened as financial leverage coefficient rises. The upside-down “U-shaped” relation exists both in state-owned and private companies, outstandingly in the latter. An appropriate R&D input intensity largely promotes photovoltaic companies'performances, subject to their capital allocation. Photovoltaic companies should consider their R&D input according to their overall strategy, which makes appropriate R&D input strategy from input & output and capital operation. Private companies complying with marketized operation have a well stimulating mechanism. Stateowned companies' performance can be promoted if private equity is adopted appropriately. 
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    DRIVES FOR JIANGSU'S WATER FOOTPRINT EFFICIENCY CHANGES BASED ON LMDI-ATTRIBUTION
    JIANG Xiangcheng, WANG Rui
    Resources & Industries    2022, 24 (4): 30-41.   DOI: 10.13776/j.cnki.resourcesindustries.20220410.001
    Abstract140)      PDF(pc) (3015KB)(237)       Save
    Jiangsu province has the most total and per capita water footprint in the Yangtze River Economic Zone, and a severe water shortage which constraints Jiangsu's economy. This paper, from the perspective of water footprint and focusing on Jiangsu's water footprint efficiency changes, analyzes their drives and provides suggestions for sustainable development of Jiangsu's water resources. Jiangsu's water footprint results from 2010 to 2019 and extended Kaya formula are used to calculate the actual water use efficiency, water resource use technical level and water footprint. LDMI-attribution model is employed to estimate the drives with contribution of three water use sectors obtained. During the study period, Jiangsu shows a noted increase in water footprint efficiency, from 32.78 RMB/m3 in 2010 to 88.91 RMB/m3 in 2019,increasing by 171.25%, mostly driven by actual water use efficiency with a contribution 167%, followed by technical level with a contribution 26.15%. Water footprint proportion in agricultural use has relatively risen, and the water footprint structure contributes -21.67% to the change. Key drives come from actual uses in industrial and living sectors, 91.19% and 75.07% respectively, with only 0.73% from agricultural sector. In technical drives, most are contributed by living sector at 21.40%, followed by industrial sector at 4.79% and then by agricultural sector at -0.04%. In water footprint structural drives, only agricultural sector is positive at 0.06%, then living sector at -2.13% and industrial sector at -19.60%. This paper presents suggestions on constructing water-saving agricultural system to increase agricultural water use efficiency and to decrease agricultural water footprint proportion, keeping a downgrade of gray water footprint, limiting high pollution investments, supporting green development, stimulating province-wide consumption, optimizing foreign trading structure and increasing sustainable development capacity of water resources.
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    IMPACTS OF SUBSIDY REDUCTION ON NEW ENERGY COMPANIES RESEARCH & DEVELOPMENT VIEWING FROM MARKET EXPECTATION ADJUSTMENT
    LIU Surong, XIE Xiaoxiao, HUO Jianglin
    Resources & Industries    2022, 24 (4): 65-76.   DOI: 10.13776/j.cnki.resourcesindustries.20220422.001
    Abstract174)      PDF(pc) (1157KB)(234)       Save
    Governmental subsidy has a close connection with new energy sectors' R&D innovation.Subsidy reduction indicates new energy sectors are at a government-oriented to market-oriented adjusting stage.Under the dual pressures of subsidy reduction and innovation upgrading, new energy companies have to switch to markets to seek new financing ways ensuring a stable R&D investment. This paper, based on China's stock-listed new energy companies' information from 2010 to 2019, uses multiple regression to study the impacts of subsidy reduction on new energy sectors' R&D, and discusses the adjustment of market expectation on the relation between governmental subsidy and companies' R&D investment. Results show that subsidy reduction plays an outstanding stimulating role on new energy sectors' R&D investment. The impact varies with natures of governmental subsidies, a little if benefits-related subsidy, but significant if assets-related. Under adjustment of market expectations, benefits-related governmental subsidy will decline or even constrain R&D investment, while assets-related subsidy will be on the contrast. Governmental subsidy shall be stably reducing, switch from all-benefits to supporting-excellence, adjust subsidy types and strength, and construct multiple subsidy mechanisms so as to help new energy sectors increase R&D investments. This paper suggests new energy companies follow the market changes, increase their innovative capacities and awareness, boost relation with financing markets, diversify financing channels, and set up a collaborative mechanism of governmental subsidy and markets on new energy companies' R&D innovation.
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    IMPACTS OF CITY GROUP ECONOMIC NETWORK EVOLUTION ON RESOURCES-BASED CITIES' INNOVATIVE CAPACITY
    ZHAO Hongmei, ZHANG Yan
    Resources & Industries    2022, 24 (4): 9-20.   DOI: 10.13776/j.cnki.resourcesindustries.20220606.002
    Abstract144)      PDF(pc) (4669KB)(229)       Save
    City group network is a product of urban advanced stage, and a consequence of collaborative development of innovative units. Its dynamic evolution provides an effective circulation channel for innovative resources among resources-based cites. This paper establishes an urban group economic network among resources-based cities, and discusses its developing characteristics and evolutionary trend, providing references for promoting innovative capacities in resources-based cities. Based on 11 cities' data of Harbin-Changchun city group from 2009 to 2018, this paper uses revised gravity model and fixed effect model to establish a city group economic network which is used to study the impacts on their innovative capacities. The network density of Harbin-Changchun city group is in a rising trend, but at a low-level. Its network centrality shows polarization with some cities marginalized, and some localized groups emerging. City group network in/out degrees positively impact resources-based cities'innovative capacities at 1% and 5% significance levels respectively. Structural hole index is not related to the innovative capacities.Harbin-Changchun city group needs to optimize its economic network structure, to increase Harbin's and Changchun's radiation and leading roles to form an internal complicated network, to fasten their infrastructure so as to improve their trans-city communication inside the city group economic network,and to construct trans-regional innovative cooperating mechanism to increase the innovative capacities of resources-based cities.
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    AN APPROACH CHINA'S 2030 CARBON PEAK BASED ON SD MODEL ON ECONOMY, ENERGY AND CARBON EMISSION SYSTEM
    DU Yan, HU Xinyang
    Resources & Industries    2022, 24 (5): 19-28.   DOI: 10.13776/j.cnki.resourcesindustries.20221013.002
    Abstract245)      PDF(pc) (2230KB)(226)       Save
    This paper uses system dynamics model to interactively simulate China's carbon emission evolution trend of energy consumption during 2020 to 2050 under three scenarios. Comprehensive control scenario is set at the benchmark to study the impacts of economic,population and energy changes on gross carbon emission, and to discuss the premium approach to carbon peak. Caron peak values are forecasted to be 1.62, 1.33 and 1.14 times of 2020 under benchmark, low carbon and comprehensive control scenarios, respectively, and will reach the carbon peak in the years of 2038, 2030 and 2027 under the three scenarios, largely impacted by GDP growth rate per capita, scientific-technical inputs, proportions of the second and the third industries, fossil energy proportion and energy consumption intensity. Carbon peak is forecasted to be the nearest under the comprehensive control scenario, with minimum carbon emission peak value, a practical premium plan. The optimized approaches to carbon peak needs to be based on determining appropriate GDP growth rate per capita, boosting scientific-technical inputs, decreasing the second and the third industries proportion, adjusting energy structure and decreasing energy consumption intensity.
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    EVOLUTION OF XINJIANG'S REGIONAL ECONOMIC COORDINATED DEVELOPMENT FROM PERSPECTIVE OF SPATIAL CONVERGENCE
    HOU Zhenmei, ZHANG Pengyan, ZHOU Yong
    Resources & Industries    2022, 24 (3): 53-62.   DOI: 10.13776/j.cnki.resourcesindustries.20220606.001
    Abstract98)      PDF(pc) (2038KB)(209)       Save
    Regional coordinated development strategy as one of the key concept for new period is of practical significance to maintain Xinjiang's stable society and to power rural development. This paper uses Xinjiang's 85 countywide 2000 to 2018 panel data to establish a spatial Barro & Sala-i-Martin model, which is applied to study the evolution of Xinjiang's regional economic coordinated development from perspective of spatial convergence. Xinjiang shows a clear economic development variance in the north and south with an outstanding spatial convergence owing to countywide difference. Countywide economic growth displays a conditional β convergence at a low speed, suggesting issues in regional coordinated development. Fixed asset investment, human capital and urbanization level, positively affecting the convergence of countywide economic growth, are the major approaches to promoting regional coordinated economic development. Population growth and deposit saving rate are impactful elements to countywide economic growth, higher population growth rate in southern Xinjiang's four cities plays a key role in enlarging the south-north economic variance. This paper puts forward suggestions on developing southern Xinjiang's four cities' modern agriculture to increase their economic growth, boosting new urbanization construction by raising its quality to support amid regional coordination, optimizing investment structure to increase investment efficiency, maintaining an appropriate population growth rate in southern Xinjiang's four cities and structurally, reforming financial supply side in converting deposits into effective investing channels.
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    SUPPLY EFFICIENCY AND FACTORS OF FARMLAND WATER CONSERVANCY FACILITIES BASED ON SBM-MALMQUIST-TOBIT MODEL
    YU Lei, YANG Gaosheng
    Resources & Industries    2022, 24 (4): 77-89.   DOI: 10.13776/j.cnki.resourcesindustries.20220328.001
    Abstract116)      PDF(pc) (2902KB)(207)       Save
    27 Chinese provinces' panel data from 2009 to 2018 are used study the supply efficiency and its changes of farmland water facilities by using SBM-Malmquist and Tobit model is applied to analyze the factors, with results showing an overall declining trend of supply efficiency, from 0.707 to 0.704, varying with geographical regions, northern, northeastern, eastern, central south, northwestern and southeastern in a decreasing order. The efficiencies reach up to 1 in northern and northeastern at the end of the study period. China's average total factor productivity of farmland water conservancy facilities supply is falling in a fluctuated way, mostly contributed by lagging technical advances. Regional economy and farmland water conservancy facilities investing structures cast a positive influence on the supply efficiencies with regression coefficients of 3.02 and 2.19 respectively. The better economy and the larger investment ratio on farmland water facilities, the higher supply efficiencies.The efficiencies are adversely affected by the proportion of farmers income from salary and rural illiteracy rate. Areas with higher proportion of farmers income from salary and higher illiteracy rate have accordingly low farmland water conservancy facilities supply efficiencies due to farmers' low will in investment. Regression results which have been verified by replacing dependent variables, supplementing missing variables, sub-samples regression and lagging variables regression are of good robustness. This paper presents suggestions on increasing farmland water conservancy facilities investment, boosting water conservancy facilities supply, optimizing rural administrative organizations and encouraging farmers' participation, aiming at improving China's farmland water conservancy facilities supply efficiencies and accelerating agricultural modernization.
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    BENCHMARKING-ORIENTED URBAN GREENHOUSE GAS ACCOUNTING METHODOLOGY FRAMEWORK IN CHINA
    GAO Yuan, LIU Gengyuan, CHEN Caocao, et al
    Resources & Industries    2022, 24 (3): 1-20.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.014
    Abstract174)      PDF(pc) (2062KB)(205)       Save
    As the largest source of anthropogenic greenhouse gas (GHG) emissions, cities are the basic unit and important space carrier to promote carbon emission reduction. In the face of increasingly severe climate challenges, on one hand, the degree of cooperation among cities is not enough, and most cities choose to conduct urban GHG emission accounting and formulate mitigation policies independently; on the other hand, there are still differences in accounting boundary, accounting content and double counting, types of GHG, and accounting methods among different urban GHG emission accounting guidelines, which increases the complexity of urban GHG emission accounting and is not conducive to the comparison of GHG emission accounting results among cities. The methodological framework for urban GHIG emission accounting is the basis for understanding and evaluating urban GHG emissions. In this paper, we reviewed the domestic and foreign urban GHG accounting standards, databases and cases, which covered the comparison and difference analysis of international urban GHG accounting standards, the application research of three different city-level GHG emission accounting perspectives (including accounting based on administrative division boundaries, cross-border infrastructure, and urban consumption respectively). The core of domestic urban and regional GHG accounting guidelines are clearly proposed to establish a framework of urban GHG emission accounting methods that are prioritized for domestic benchmarks. In the new framework, scopes 1-3 in the framework represents the urban GHG emissions from different perspectives, and reflects the urban GHG emissions to the maximum extent. The indispensability and comparability of Scope 1 emissions within administrative divisions are emphasized. Importantly, the accounting for Scope 2 and Scope 3 emissions is a specific supplement to the urban GHG emissions that are matched to fully meet the actual needs of the city. The framework solves some of the pain points. For example, the accounting boundary is within the boundary of China administrative divisions, covering 7 types of greenhouse gases, and scopes 1-3 are for different accounting emission subjects. In view of the emission sources not covered or disputed by the current urban GHG accounting guidelines, difficulty of data acquisition, uncertainty and so on, the author believes that these problems can be addressed by means of scientific and technological progress, and the impact on the urban GHG emission accounting is not major, but for the long-term development of the city, these pain points must be deeply considered and solved by the decision-making managers. It is necessary to incorporate them into the framework at first, and then gradually solve them. Benchmarking-oriented GHG accounting framework can help decision-making managers understand the flow of embodied GHG emissions between cities, determine appropriate emission reduction policies, and meanwhile consider and plan low-carbon transition paths, optimize urban management methods, and promote exchanges and cooperation between cities from the perspective of GHG emissions. Finally, this paper points out that the effective implementation of the framework requires the linkage of the whole society, multi-industry and cross-department, the overall government-enterprise-people-commerce cooperation, the close industry-university-research cooperation. 
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    FACTORS CONFIGURATION AND PATH TO KAZAKHSTAN'S AGRICULTURAL DEVELOPMENT VIEWING FROM VALUE CHAIN BASED ON QCA METHOD
    WANG YanYang, WANG JingJing
    Resources & Industries    2022, 24 (3): 159-168.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.007
    Abstract123)      PDF(pc) (1161KB)(200)       Save
    China has been closely cooperating with Kazakhstan in agriculture since “the Belt and Road” initiative was put forward, but this cooperation largely depends on an appropriate selection of agricultural investment to develop in a challenging global environment. This paper uses value chain to divide agricultural value chain into five chains, production, logistics, information, sales and innovation, and applies fsQCA to analyze the factors configuration of and path to Kazakhstan's agricultural development based on its 17 states' 2019 data. Production-sales mutual chain is the major drive for Kazakhstan's high level agricultural value chain, which is composed of two configurations, “production-sales chain*(~information chain)*(~innovation chain)” and “production chain*logistics chain*sales chain*(~innovation chain)”. A path leading to Kazakhstan's lower level agricultural value chain can be attributed to lagging-producing-capacity-constraining” and “non-agricultural-industrial-oriented”, the former including “(~production chain)*(~logistics chain)*(~information chain)” and (~production chain)*logistic chain*information chain*(~sales chain)*innovation chain”, and the latter including “production chain*logistics chain*information chain*sales chain*innovation chain”. Production chain and sales chain are the main drives to Kazakhstan's agricultural development, which is limited by innovation chain, but potentially powered by logistics chain and information chain. This paper suggests that Kazakhstan fulfill its advantages in agricultural production and sales in some states, cooperate with China's agricultural technology, information technology and infrastructure, deepen both parties' complementarity in the whole agricultural production chain, getting rid of Kazakhstan's agricultural transforming dilemma along with reaching a win-win.
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    ENERGY CONSERVATION AND EMISSION REDUCTION EFFECTS OF STEEL-CAPACITY-CUTTING POLICY BASED ON INPUT/OUTPUT MODEL
    SUN Xiaoqi, SHI Qing
    Resources & Industries    2022, 24 (4): 1-8.   DOI: 10.13776/j.cnki.resourcesindustries.20211221.006
    Abstract218)      PDF(pc) (3457KB)(199)       Save
    This paper, based on China's input/output data of 2017 and carbon emission coefficient of standard coal, uses sole regional environmental input/output model to estimate the direct and complete energy conservation and emission reduction effects under different steel-capacity-cutting scenarios, aiming at providing supportive study for policies evaluation. Under the scenario of 25 million tons capacity cutting, 19 million tons of standard coal can be saved directly, 32 million tons in total saving, and 40 million tons of carbon dioxide emission can be directly reduced, 68.37 million tons in total reduction. Under the scenario of 37.5 million tons capacity cutting, 28.56 million tons of standard coal can be saved directly, 48.15 million tons in total saving, and 60.84 million tons of carbon dioxide emission can be directly reduced, 103 million tons in total reduction. Under the scenario of 100 million tons capacity cutting, 76 million tons of standard coal can be saved directly, 1.94% of China's energy consumption in 2017, and 128 million tons in total saving, 3.28% of China's energy consumption in 2017; and 162 million tons of carbon dioxide emission can be directly reduced, 273 million tons in total reduction. Under the scenario of 150 million tons capacity cutting, 114 million tons of standard coal can be saved directly, and 193 million tons in total saving, 4.93% of China's energy consumption in 2017; and 243 million tons of carbon dioxide emission can be directly reduced, 410 million tons in total reduction. Steel-capacity-cutting policy has notable energy-saving and emission-reduction effects and the total energy-saving and emission-reduction far outweighs the direct. Capacity-cutting substantially contributes to China's response to climate changes. However, steel sector is one of China's major industries containing large employment in its up- and down-stream. Employment shall be comprehensively considered amid steel-capacity-cutting process in an orderly way. This paper does not cover the diminishing effects from raised energy efficiency and emission reduction effects from adjusted energy structure, which needs further studies.
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    DYNAMIC EVOLUTION OF HYDROGEN-FUEL CELL VEHICLE (HFCV) INDUSTRY BASED ON ALLOWANCE POLICIES IN JIANGSU PROVINCE
    ZHAO Zhendong, LIU Guoqing, XIN Jianghui, et al
    Resources & Industries    2023, 25 (1): 27-39.   DOI: 10.13776/j.cnki.resourcesindustries.20220802.001
    Abstract160)      PDF(pc) (2657KB)(199)       Save

    HFCV industry is a sustainable direction to fuel transformation and automobile industry; it catches China’s much attention. Due to the lagging fuel electric automobile industry, its operation is still in demonstration. Industrial evolution and changes are directly related to its development strategies and policies on HFCV industry; industrial predictability is a vital basis for a successful industrial policy. This paper, aiming at boosting China’s industrialization process of HFCV and at fulfilling the industrial policies, establishes a systematic dynamics causality model and stock flow model of HFCV in Jiangsu province based on related policies, reference and industrial plannings, which have been validated. Its evolutional trend and scenarios simulation and policy also reveal the impacts of different financial allowance policies on this sector. Under the current policies, it is hard to reach the 2030 objectives on HFCV stock and hydrogen fuel stations in that the purchase allowance policies have little impact on sales. Decreasing hydrogen price and increasing hydrogen fuel stations can boost this sector’s scale and industrialization. Gas-hydrogen stations, lower in cost, can have a better operating performance in meeting the demands of hydrogen compared with hydrogen stations. This paper presents suggestions on increasing inputs on HFCV industry, adjusting allowance policies, optimizing financial allowance allocation, focusing on hydrogen energy infrastructure construction, especially the hydrogen stations, decreasing purchase allowance. This also gives proposals on demonstrating purchase inputs at the prior stage, intensifying hydrogen(gas-hydrogen) station construction at the later stage. This study provides helpful references for governments to make appropriate industrial policies on HFCV industry.

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    FACTORS OF ESTABLISHING URBAN MINING PILOT BASE:A QUALITATIVE COMPARATIVE ANALYSIS OF 76 CITIES
    SHEN Hongcheng, LUO Ting
    Resources & Industries    2022, 24 (4): 55-64.   DOI: 10.13776/j.cnki.resourcesindustries.20220410.002
    Abstract102)      PDF(pc) (1725KB)(198)       Save
    This paper, based on China's urban mining pilot bases, uses fuzzy-set qualitative analysis method to comprehensively study 48 cities with urban mining pilot bases and 28 cities without urban mining pilot bases, and their establishing factors and modes. Establishment of China's urban mining pilot bases is influenced by ventilation coefficient, industrial basis, governmental enforcement, transport infrastructure and environmental regulations. High air ventilation coefficient and developed infrastructure are core conditions. Good manufacturing industry supplies renewable materials which plays a key role in establishing urban mining pilot bases. Low-cost consumption is a necessity, and governmental policy is an auxiliary. Governmental industrial planning can play a positive part when industrial manufacturing basis and infrastructures lack. Air circulation and environmental regulation are two complementary conditions for government to control and reduce pollution. Strict governmental regulations play a key role in establishing inland urban mining pilot bases with low air circulations coefficients. Government-oriented establishing model focuses on supporting roles of policies and air ventilation, and elementoriented establishing model stresses the impacts of industrial basis and transport infrastructure. 
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    IMPACTS OF INFORMATION FRAMEWORK ON GREEN CONSUMPTION BEHAVIORS UNDER SUSTAINABLE DEVELOPMENT BASED ON MEDIATING EMPATHY
    HE Lishi, SHAN Xiaoyu
    Resources & Industries    2022, 24 (5): 124-134.   DOI: 10.13776/j.cnki.resourcesindustries.20221011.001
    Abstract126)      PDF(pc) (1199KB)(193)       Save
    Protecting ecological environment is a key step in guaranteeing sustainable use of natural resources. Orientation of residents’green consumption behavior contributes to mitigating China's natural resources pressure, to reducing environmental pollution and boosting urban sustainable development. This paper, based on Stimuli-Organism-Response (SOR) model, uses empathy as mediating variable, and natural anthropomorphism as moderating variable to construct a conceptual model regarding impacts of information framework (loss framework vs. gain framework) on green consumption behaviors with two experiments applied to discuss its internal mechanism. Compared with gain framework, loss framework can improve individual intention on green consumption behaviors more. Empathy plays a mediating role between information framework and green consumption behavior intention, at a mediating value at 0.319. Under the loss framework, individual has a higher empathy degree. The mediating of empathy on green consumption behaviors in information framework can be positively moderated by natural anthropomorphism, the higher natural anthropomorphism, the stronger mediating of empathy, and the stronger influences of loss framework (vs. gain framework) on individual empathy and green consumption behavior intention. This study as a supplement to the green consumption behavior system presents theoretical and practical references for governments and enterprises to conduct green sales and for individual green consumption behaviors. 
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    FORECAST OF JIANGSU'S CARBON BALANCE POTENTIAL UNDER “DUAL CARBON” OBJECTIVES

    ZHU Zhiming, GUI Mengting, LI Hongyan
    Resources & Industries    2023, 25 (1): 1-13.   DOI: 10.13776/j.cnki.resourcesindustries.20220715.001
    Abstract259)      PDF(pc) (1940KB)(192)       Save

    This paper estimates Jiangsu's carbon emission and absorption and forecasts its future carbon balance potential, offering reference for China to reach strategic objectives of 2030 carbon peak, and 2060 carbon neutralization (dual carbon objectives), and to materialize ecological civilization construction. This paper establishes an indictor system to forecast Jiangsu's carbon balance potential and improves STIRPAT model based on 1996 to 2019 carbon emission data and LMDI factors, which is used to forecast Jiangsu’s 2020 to 2060 carbon emission under 9 scenarios. GM(1, 1) is employed to forecast Jiangsu’s future carbon absorption and 2004 to 2060 carbon balance evolution. Results show that Jiangsu’s carbon emission grows fast, most contributed by population, income and energy structure, but offset by energy intensity and carbon emission intensity. According to the forecasted results of STIRPAT model, nine scenarios can be classified as high carbonhigh growth, intermediate carbonintermediate growth and low carbonlow growth in terms of cabon peak and time. The premium scenario 3 in the lowcarbonlow growth can reach carbon peak as early as in 2029, at 330 0386 kt carbon dioxide, and decline to 242 7419 kt in 2060. Jiangsu’s carbon absorption is forecasted to growth slowly, up to 30 mt carbon dioxide in 2053, and 30955 84 mt in 2060. Jiangsu will face a lagging carbon balance, with a peak deficit up to 302860 3 mt carbon dioxide in 2029, falling to 211786 0 mt in 2060. Carbon balance pressure index will fall to 784 in 2060 from 1216 in 2025, suggesting a big pressure over Jiangsu. Jiangsu has a limited ecological carbon absorption capacity, facing a big challenge on carbon balance even according to the premium scenario 3. This paper presents suggestions on adjusting energy high carbon structure, boosting green technical innovation, decreasing carbon emission, increasing green land area, protecting natural environment, raising carbon absorption capacity, developing green carbon reduction and technical carbonfixing, diminishing carbon deficit and mitigating cabon balance pressure from carbon emission, carbon absorption and carbon balance, which helps China reach 2060 carbon neutralization.

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    COLLABORATION AMONG KNOWLEDGE SHARING, GREEN INNOVATION AND INFRASTRUCTURES SUSTAINABLE DEVELOPMENT
    XUE Song, ZHAO Jingjing, YANG Tao
    Resources & Industries    2023, 25 (1): 109-121.   DOI: 10.13776/j.cnki.resourcesindustries.20220526.001
    Abstract184)      PDF(pc) (1255KB)(187)       Save
    Knowledge sharing and green innovation are two key factors in shaping industrial sustainable competitiveness, and play a vital role in infrastructures’ transformation to sustainability. This paper, aiming at their collaboration among knowledge sharing, green innovation and infrastructures sustainable development, uses the relation structure in the measurement table to establish an interactively simulated model, which is verified and corrected by confirmed data from questionnaire. Knowledge sharing channel, behavior and environment promote the sustainable development of infrastructures, most contributed by knowledge sharing behavior. Green technical innovation and green system innovation play a positive role on the sustainable development of infrastructures, of which green technical innovation plays the bigger part. Three approaches, green technical innovation to knowledge sharing channel, green system innovation to knowledge sharing environment, green technical innovation/green system innovation to knowledge sharing behavior, play a mediating role in promoting the sustainable development of infrastructures. Green innovation may further boost the indirect impact of knowledge sharing on the sustainable development of infrastructures, but less from its direct impact. This paper presents suggestions on encouraging knowledge sharing behavior, setting up knowledge sharing system, constructing knowledge sharing environment for a sustainable development. Green collaborative innovation promotes the infrastructures. This paper provides theoretical references for a quality sustainable development of infrastructures.
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    VARIANCE STUDY ON GUANGDONG'S ENERGY CONSUMPTION SECTOR BASED ON INPUT/OUTPUT & ECOLOGICAL NETWORK ANALYSIS
    XU Wenhao, XIE Yulei, JI Ling, et al
    Resources & Industries    2022, 24 (6): 44-53.   DOI: 10.13776/j.cnki.resourcesindustries.20221027.003
    Abstract108)      PDF(pc) (3509KB)(180)       Save
    Guangdong province has surging demand for energy consumption as it speeds up its industrialization and new urbanization, leaving key points on how to adjust provincial energy consumption structure, boost intensive and clean use of energy and decrease carbon emission as Guangdong’s responses to “Dual Carbon Strategy”. This paper analyzes the dynamic changes of energy consumption in each sectors in Guangdong province from multiple perspectives,  explores their ecological relations of sectors in energy consumption networks,  and presents scientific theoretical basis and policy recommendations for Guangdong to make differentiated energy saving consumption reducing policies regarding its “Five-in-One” overall layout. By collecting the input-output tables and energy consumption lists of Guangdong province in 2007, 2012 and 2017, this paper relies on input-output theory and ecological network analysis. By constructing an input-output ecological network model, the direct and indirect energy consumption of 26 sectors in the social and economic system of Guangdong, the energy flow among the sectors and the ecological relationship among the sectors were quantitatively analyzed and evaluated. From the perspective of direct energy consumption, transportation, warehousing, and postal industry(S24)and manufacture of metal smelting and rolling processing(S13)are key industries that policy makers need to pay special attention to, while indirect energy consumption caused by heavy industries such as chemical industry(S11)and manufacture of nonmetal mineral products(S12)cannot be ignored. A strong correlation exists between construction(S23)and manufacture of nonmetal mineral products(S12)with a coexisting index less than 1 in energy consumption system, suggesting a sub-healthy system. A strong control and reliance is displayed between the secondary and the tertiary industries, which needs a coordinated development while encouraging industrial transformation. This paper presents suggestions for Guangdong on executing energy saving consumption reducing approaches both in production and consumption sides, and increasing the utilization rate of inter-medium products and developing recycling economy. A trans-sector cooperative energy saving system is proposed to promote a shift in energy saving consumption reducing from single sector to multiple sectors.
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    CHINA'S NATURAL RESOURCES ADMINISTRATION SYSTEM EVOLUTION AND ASSETS PROPERTY SYSTEM OPTIMIZATION
    TIAN Guiliang, LIANG Lan, WU Zheng, et al
    Resources & Industries    2022, 24 (6): 1-13.   DOI: 10.13776/j.cnki.resourcesindustries.20221027.002
    Abstract120)      PDF(pc) (2267KB)(173)       Save

    China’s natural resources administration system has provide a vital guarantee for natural resources use and protection over the past decades as a booster to ecological civilization construction, but it still has shortages in lack of rights and responsibilities and in overlapping of leadership and management, leading to lots of issues in unclear ownership subject of natural resources, fuzzy boundary of right confirmation and insufficient protection of property rights. This paper uses property rights theory to analyze the evolution of China’s natural resources administration system under guideline of the 14th Five-Year Planand 2035 Outlook, establishes a research framework of system evolution-issues discussion-approach optimization, and applies Pigovian tax, Coase Theorem, and new system economics theory to qualitative analysis of the natural resources assets property rights system optimization direction. Its evolution of natural resources administration system shows a clarifying ownership at a trend of separation of ownership and using right. Governments as the administrator of market shall uses power to mark market limit and make marketing rules. System performance is mainly related to the gaming between governments and markets, which may be promoted by optimizing the property rights system of affiliation-rights & responsibilities-protection-transfer-supervision. The research concludes that in order to improve the natural resources assets property rights system in our country, we should clarify the property rights, and realize the property rights in the legal subject clearly relying on the regulatory effect of the classification agent system. The content of registration and accounting should be clarified, and the information management platform of natural resources assets should be built to accurately grasp the assets, and use the ecological protection compensation mechanism to support the protection system, strengthen the intensity of protection, guarantee market transactions. Marketized trading platform shall be used to improve the allocating efficiency of natural resources, to transfer asset stock to asset increment. Supervision system shall be improved in all process which limits governmental power lists to avoid governmental monopoly.

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    RESEARCH ON REGIONAL ECONOMIC DEVELOPMENT DIFFERENCES BY INTEGRATING OAXACA-BLINDER DECOMPOSITION METHOD FROM THE PERSPECTIVE OF ENVIRONMENT REGULATION
    CHEN Xin, LIU Yuanhua, SHI Cuicui
    Resources & Industries    2022, 24 (3): 63-70.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.009
    Abstract244)      PDF(pc) (1710KB)(168)       Save
    Regional economic growth variance has always been a focus in theory and practice. Based on Shanghai and Anhui's 2005—2018 provincial panel data, this paper study the reason of regional economic growth variance. Random Forest Method is used to select other important factors besides environment variable, and classic threshold regression model is employed to mark the critical point between the high and low environmental regulations, which is based to divide the sample into two stages, and Oaxaca-Blinder decomposition is applied to discuss the reasons of regional economic variance under different environmental regulations. Environmental petition mounts to 35 217 marking a critical point of environmental regulation level, with Anhui and Shanghai standing at the prior half of Environmental Kuznets Curve, mainly led by “innovative compensation effect” of environmental regulations. In the single decomposed Oaxaca-Blinder variable, human capital and informatization level are the major reason of regional economic variance in the low level samples and in the whole samples with their specific return variance values at -3.161 3 and 0.092 6. In the overall Oaxaca-Blinder decomposed results, contribution proportion of specific return variance in the whole samples increases by 15.28%, suggesting Anhui's economic growth level be at a more “discriminated” level under the overall level. This paper suggests that governments shall improve public-involved environmental regulation policies, and give youth an innovative environment and resource, and adjust financial expenses to minimize the regional economic growth variance, not only helpful in understanding provincial economy under different environmental regulations, but also providing guidelines to reach a balanced regional economic growth from most aspects.
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    SPATIAL PATTERN EVOLUTION AND FACTORS OF PRODUCER SERVICES IN YANGTZE RIVER ECONOMIC ZONE FROM PERSPECTIVE OF ENTERPRISES’ ENTRY

    JI Tianzheng, HUANG Qiaolong, ZHANG Tianling, et al
    Resources & Industries    2023, 25 (2): 37-51.   DOI: 10.13776/j.cnki.resourcesindustries.20230315.001
    Abstract92)      PDF(pc) (4233KB)(168)       Save
    This paper uses producer services data in Yangtze River economic zone to establish a compound weighted concentrating indicator which not only macroscopically stock concentration, but also reflects dynamic increment, and employs natural breakpoint classification, spatial auto-correlation, standard deviation ellipse and spatial metering model to study the spatial pattern evolution and factors of 2000 to 2019 producer services in Yangtze River economic zone. Its producer services shows a “west-low-east-high” concentrating distribution with a diminishing regional variance amid temporal-spatial evolution, and with remarkable localized coherence and spatial heterogeneity. Low-level radiation is mainly located in Hunan, Hubei and eastern Sichuan, high-level in Nanchang, Hangzhou and Shanghai centers. Chongqing, Sichuan and Hubei show a patter of “core-high-majority-low”. Spatially it is a “northeast-southwest” distributing pattern with its internal industries showing three spatial concentrating patterns, more centralized, and new entities favoring concentrating in the down-stream of Yangtze River. Concentration of producer services is variably influenced by human capital, governmental expense, house price, traffics and openness, most by human capital and traffics. This paper presents policy suggestions on promoting producer services in Yangtze River economic zone on the basis of regional heterogeneity and factors.
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    MEASUREMENT AND TEMPORAL-SPATIAL DIFFERENTIATION OF BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER’S QUALITY DEVELOPMENT
    KE Wenlan, LI Wenhui, YAN Jingjing
    Resources & Industries    2024, 26 (1): 1-14.   DOI: 10.13776/j.cnki.resourcesindustries.20240016.003
    Abstract64)      PDF(pc) (8058KB)(168)       Save
    China is entering a new era with its economy turning to quality development from rapid growth. JJJ, as a new capital economic zone, plays a key role in demonstrating city cluster’s quality development. This paper, aiming at JJJ’s coalition in developing strategy for a quality city cluster’s quality development, this paper, based on JJJ"s 13 perfectures’ 2011 to 2020 data, uses the contents of quality development to establish a comprehensive evaluation index system for JJJ city cluster’s quality development, and employs entropy-TOPSIS model to estimate JJJ city cluster’s 2011 to 2020 quality developing index, and applies coupling coordination model & spatial autocorrelation model to study its coupling coordinating level, temporal-spatial evolutionary trend and spatial concentrating effect.The coupling coordination of JJJ city cluster’s quality development shows a weak-then-strong trend, with major cities in coordination in 2011 to 2015 changing to developing cities, at a decreasing coupling coordination, but rising after 2015. The coupling has been steadily rising, 84% of JJJ’s cities are rising in their coupling, most with strong correlation among economy, eco-environment, innovation, and civilian welfare. Temporal-spatial pattern of coordination has not changed, Cangzhou, Tianjin, Tangshan and Qinhuangdao have always been at the tier 2 except Beijing seats atop. Spatial evolutionary pattern of quality development suggests Beijing, Tianjin and Langfang are in the core area of city cluster’s quality development, radiating outward to southeast, falling toward northeast. Economy, eco-environment innovation and civilian welfare are the same. JJJ’s city cluster’s quality development has a positive overall auto-correlation, cities of high quality development are geographically closer, with outstanding spatial heterogeneity, their capitals are mainly located in the promoting area, Cangzhou, Hengshui and Qinhuangdao in the transition zone, and Langfang in the radiation zone, negatively correlated. A key mission for JJJ’s city cluster’s quality development is to make up the regional developing gap. This paper presents suggestions on accelerating industrial transformation to diminish regional gap, intensifying environmental cooperation to promote green development, activating regional resources to drive innovation, and jointly constructing public services to share the dividends.
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    EVOLUTIONARY MECHANISM OF SUPPLY-DEMAND DEPENDENCE NETWORK OF CHINA ‘S NEW ENERGY VEHICLE INDUSTRY
    LI Yang, LI Huajiao, FENG Sida
    Resources & Industries    2023, 25 (3): 69-81.   DOI: 10.13776j.cnki.resourcesindustries.20230427.002
    Abstract140)      PDF(pc) (4591KB)(157)       Save

    China ‘s new energy vehicle industry is expanding as a strategic emerging industry and has become an important force in industrial upgrading. Its supply chain has been prolonged, detailed, and its industrial structure has been developing. Uncertain external environment and increasingly complicated internal structure make it important to understand the evolutionary mechanism and developing law of new energy vehicle industry. This paper, aiming at exploring the endogenous development mechanism of China ‘s new energy vehicle industry, uses China ‘s new energy vehicle trading data from 2008 to 2020 to establish a supply-demand dependance network among listed companies of this industry, and studies its evolutionary characteristics. Empirical research is carried out to verify evolutionary mechanism of the supply-demand dependance network based on financial data and public sentiment data, via stochastic actor-oriented model from three dimensions of endogenous network structure, situation factors and company attributes. China ‘s new energy vehicle industry shows a local-centralized supply-demand dependence structure, and regional leading enterprises are boosting their abilities in controlling supply chain. Formation and evolution of industrial supply-demand dependence network is impacted by endogenous mechanism, such as preference attachment effect and triangle loop effect, and promoted by co-executive relationship. This paper presents suggestions for advancing China ‘s new energy vehicle industry on regional commercial cooperation, optimizing co-executive relationship and caring vulnerable companies.Governments and professional associations should continue boosting industrial cluster construction and supporting regional integration on policies and standards, enhancing free migration of capital, technical and industrial data.Industrial policies are adjusted to optimize industrial demand-supply relation through constraining or promoting co-executive relationship.Tracking commercial sentiment can recognize potential dependance relation, comprehend industrial network dependance structure, helpful in directing investment and recognizing risks. Governments shall take care of vulnerable companies, be vigilant on industrial structural imbalance, and also pay attention to notable companies with higher standard operating code and supervision, fully disclosing their financial information.

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    DYNAMIC SIMULATION OF CHANGCHUN‘’S ECONOMY-SOCIETY-LAND-USE SYSTEM BASED ON SD MODEL
    GAO Xinyu, DONG Huihe, GAO Lunian, et al
    Resources & Industries    2022, 24 (4): 90-102.   DOI: 10.13776/j.cnki.resourcesindustries.20210918.001
    Abstract131)      PDF(pc) (6059KB)(155)       Save
    This paper used system dynamics model to draw causal loop diagram and establish flow stock model, with economy, population, housing, environment, public administration as urban land use factors, and tests their simulated results from 2004 to 2018, and simulates the urban system from 2018 to 2033. Results show a discordant population-land relation will continue to exist in Changchun. Constructed area per capita increases by 47.9% from 2019 to 2033 in Changchun,and total population will be up to 4.483 92 million in Changchun downtown in 2033. Population migration is sensitive to educational resources, rather than gross value of industrial output and medical resource inputs. In Changchun city's land use structure, housing land proportion will be enlarged to 32.88%; industrial land proportion will be diminished to 18.33%; urban transportation land proportion will be first increased and then decreased, and park green land proportion will be stably at 4.33% in 2033. Under scenarios of increasing educational expenses and increasing industrial growth rate, construction area per capita decreases by 5.47% and 3.97%, which mitigates the population-land conflict. Under scenarios of increasing industrial population proportion and increasing housing growth rate, construction area per capita increases by 3.96% and 0.84%, which will not change the situation of population urbanization speed less than land urbanization speed. This paper presents suggestions on improving public administrative services, decreasing housing costs, and stabilizing urban population and attracting talents to realize a balance among urban economy, society and land use.
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    EVOLUTIONARY GAMING ANALYSIS ON GREEN ENERGY INTERNATIONAL COOPERATION UNDER GLOBAL CARBON NEUTRALIZATION
    XIAO Yutong, CHEN Jun
    Resources & Industries    2023, 25 (3): 19-30.   DOI: 10.13776j.cnki.resourcesindustries.20230426.001
    Abstract121)      PDF(pc) (2882KB)(154)       Save
    To get rid of zero-sum game in industrialized culture and to promote an equal global green energy cooperation in harnessing the global climate has become a vital global topic in carbon neutralization and human ‘s mutual community. This paper, based on developing stages, capabilities and responsibilities on global climate changes in developing and developed countries,analyzes the implementation mechanism of global green energy cooperation. A dynamic evolutionary gaming model is used to discuss an interaction between developed and developing countries on green energy competition and cooperation. Simulation is applied to study the impacts of initial major parameters ‘ changes on both gaming strategies under multiple scenarios, aiming at obtaining a dynamic evolutionary path and a stable strategy. Developed countries are complementary with developing ones in resources, market structures and developing desires.Green energy cooperation involving their mutual benefits, helpful in reaching the global carbon neutralization, is the optimal strategy. Governmental incentive policies playing a key role in their strategic choices may be increased as the expected benefits on global green energy coalition rises. A decreasing cost and risk in global green energy cooperation is favorable to reaching a win-win status between the gaming parties.Enhancing global green energy cooperation, mutually dealing with global climate changes and accelerating global carbon neutralization need to focus on governmental support, which can improve participants ‘ enthusiasm in global green energy coalition and increase the potential gains.Companies shall boost green low-carbon technical innovation to better develop and use green energy globally at a lower cost.All countries shall be cooperative in global green energy with removal of cold war views and zero-sum idea for a global transformation to green low-carbon development.
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    QUANTITATIVE ANALYSIS OF CHINA ‘S ENERGY SECURITY POLICY TEXTS BASED ON CONTENT ANALYSIS
    ZHOU Haiwei, XU Ying
    Resources & Industries    2023, 25 (3): 53-68.   DOI: 10.13776j.cnki.resourcesindustries.20230427.001
    Abstract122)      PDF(pc) (3828KB)(150)       Save
    Policy files have long been providing regulations for energy security. As energy security gets increasingly complicated, energy security policy making is facing new requirements. To clarify the topics, intensity and pattern of existing energy security policies, this paper sets up a 3D framework of “policy pivot point-intensity-tool” to provide reference for optimizing energy security policy system, and applies content analysis method to make quantitative and temporal-spatial analysis of 270 energy security policies from 1957 to 2021. Energy saving is the first priority to energy security. Northeastern China focuses on gas and heat supply, central China on green and security, eastern China on non-governmental organizations, and western China on the tie of energy and water, all missing environmental security and government assessment. Total intensity of policy rises with its quantity. Up to 85 pieces of policies are issued during the 13th Five-Year Plan, when the total intensity is the greatest. Mandatory policy tools are used at a rate of 89.07%, of which “prohibitionregulations” amounting to 26.8%, followed by “clarifying responsibilities” amounting to 14.15%. Hybrid and voluntary policy tools are used at a rate of 5.51% and 5.42%. This paper presents suggestions on paying more attention to assessment, environment and security,on pushing social organizations and funds into energy security, on making energy security strategies, constructing energy security policy system and planning policy issuing organizations, on deliberately reducing mandatory policy tools, improving governing methods and decreasing administrative costs. Government shall coordinate hybrid policy tools to fulfill marketing mechanism, and expand volunteer policy tools to boost advocation and intensify energy security awareness.
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    ENVIRONMENTAL INFORMATION DISCLOSURE, INSTITUTIONAL INVESTORS AND STOCK PRICE CRASH RISKS
    NIE Zhiping, WANG Ying
    Resources & Industries    2022, 24 (3): 94-105.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.013
    Abstract133)      PDF(pc) (1082KB)(147)       Save
    Development of economic society requires Chinese commercial entities bear the environmental responsibilities. This paper, based on China's  2010—2019 non-financial A-share listed companies in Shanghai and Shenzhen, uses information asymmetry theory to discuss the impacting mechanism of environmental information disclosures on stock price crash, and studies the influence of institutional investors as a proof of their adjustment on the both parties' relation. Generally, disclosure of environmental information is negatively related to stock price crash, thus boosting disclosure can reduce the possibility of concealing environmental information from managing department and can mitigate the information asymmetry in capital market, which may effectively minimize the risk of stock price crash. Institutional investors play an adverse role amid the such process due to their low level and seeking short-term return. They may use their own capital and information advantages to manage companies to maximize their financial return by hiding or delaying environmental information disclosure along with managing team. Escalating information asymmetry and impacting environmental information disclosure quality may lead to a stock price crash or slump in the future. Increment of institutional investors' holdings can weaken the adverse relation between environmental information disclosure and stock price crash to some degree. State-owned companies pay more attention on environmental information disclosure due to governmental controls and supervision than private companies. Environmental information disclosure quality of state-owned companies plays an outstanding constraining role against stock price crash. This paper suggests that governments allow state-owned companies to play a leading role in operation by intensifying supervision, improving environmental information disclosure system and regulating institutional investors' acts. Stock-listed companies shall boost their internal controls to constrain stock price crash and to promote a stable capital market.
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