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    GREEN FINANCE, INSTITUTIONAL ENVIRONMENT AND DUAL GREEN INNOVATION

    JU Jialiang, XIN Peizhu, ZHAO Min
    Resources & Industries    2023, 25 (5): 61-71.   DOI: 10.13776/j.cnki.resourcesindustries.20231017.003
    Abstract77)      PDF(pc) (1378KB)(2475)       Save

    This paper, based on pieces of observed data of China ‘s 30 provinces during 2007 to 2019, applies fixed effect model to study the impacts of green financing on dual green innovation, and applies institutional economics theory to discuss the Moderation of institutional environment. Green financing can largely increase the local tentative green innovation, and also increase the open green innovation level in a less manner. Green financing is impacted by local institutional environment during transforming to dual green innovation, the higher marketing degree, intelligence protection extent and governance extent, the higher transforming. Institutional environment promotes the transforming to tentative green innovation of green financing in a stronger manner than to open green innovation.

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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
    Abstract105)      PDF(pc) (2193KB)(1819)       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 EFFECTS OF DIGITAL ECONOMY ON HIGH-QUALITY ECONOMIC DEVELOPMENT BASED ON GTWR MODEL

    YIN Qingmin, LIN Yinyin
    Resources & Industries    2024, 26 (1): 86-99.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.005
    Abstract65)      PDF(pc) (2186KB)(1726)       Save
    As digital technologies and digital industries are advancing, digital economy becomes a new drive to a high-quality economic development. Study on their relation is of strategic importance in promoting provincial high-quality economic development. This paper, by means of China’s 30 provinces/cities’ 2014 to 2020 panel data, uses entropy weighted TOPSIS to comprehensively score digital economy and high-quality economic development, applies spatial auto-correlation test and hotspot to analyze their spatial distribution on the basis of their temporal-spatial instability, and employs GTWR model to discuss their temporal-spatial response law between digital economy and China’s provincial high-quality economic development, and analyzes the path of digital economy to a provincial high-quality economic development. Digital economy has a strong spatial auto-correlation with high-quality economic development, with their hotspots concentrating on central and eastern China, and cold spots on western China. The spatial concentrating intensity of digital economy is diminishing while that of the high-quality development is maintained at a high level. Digital economy can outstandingly promote a high-quality economic development with impacting factor of temporal-spatial heterogeneity, showing a declining trend from south-eastern coastal to northwestern continent spatially, and a diminishing provincial difference to regional coordinated development. Digital economy variably drives the sub indicators of high-quality economic development, weakest on innovative development. This paper presents suggestions on further advancing regional coordinated development of digital economy in western China, promoting high-quality economic development through innovation, and promoting provincial high-quality development through digital economy. 
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    SOCIAL RESPONSIBILITIES, EXECUTIVE INCENTIVES AND GREEN TECHNICAL INNOVATION OF HEAVY POLLUTION INDUSTRIES
    GAO Zhixin, XU Jixiao
    Resources & Industries    2023, 25 (2): 88-100.   DOI: 10.13776/j.cnki.resourcesindustries.20230309.004
    Abstract192)      PDF(pc) (1215KB)(1718)       Save

    How heavy pollution industries improve their capabilities in green technical innovation during performing social responsibilities is a hard issue to be facing in industrial transformation. This paper, based on China’s 2011 to 2020 stock-A-listed heavy pollution companies, consolidates their social responsibilities, executive incentives and green technical innovation into one framework, establishes a logistic system of green technical innovation of heavy pollution industries of owner-mechanism-results to verify their correlation between social responsibilities and green technical innovation. China’s heavy pollution industries are generally poor and imbalanced in performing their social responsibilities, however, conducting social responsibilities plays a positive role on their green technical innovation, more in nonstate-owned industries. Dominant incentives plays a mediating effect during social responsibilities impact green technical innovation, heavy pollution industries undertake social responsibilities, which may positively impact their green technical innovation through executive incentives. Recessive incentives can improve green technical innovation. This paper provides reference for China’s heavy pollution industries to reach a high-quality performance in green technical innovation, and provides important policy inspiration for optimizing the executive incentives of heavy pollution industries and enhancing the relationsheep between enterprise’s social responsibilities and green technology innovation.

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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
    Abstract197)      PDF(pc) (4591KB)(1704)       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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    CARBON EMISSION REDUCTION EFFECTS OF DIGITAL ECONOMIC DEVELOPMENT WITH ADJUSTMENT OF HETEROGENEOUS ENVIRONMENTAL REGULATION

    PAN Haiying, CHEN Ling, REN Jiajia
    Resources & Industries    2023, 25 (6): 1-14.   DOI: 10.13776/j.cnki.resourcesindustries.20230724.001
    Abstract164)      PDF(pc) (1358KB)(1382)       Save
    As global warming is accelerating, China presents “dual carbon” goal as an attempt to transform China ‘s economic development way, which may be powered by digital economy. This paper uses China ‘s 2011 to 2019 provincial panel data to establish a spatial counting model used to study the carbon emission reduction of digital economy and adjustment of heterogeneous environmental regulations. Digital economy strongly depresses carbon emission intensity under 3 types of spatial weight matrix, and casts a negative spatial overflowing due to its diffusion and radiation, constraining the carbon emission in the surrounding areas. Mandatory environmental regulations play an adverse role on its carbon emission reduction of digital economy, while market-stimulating and public-participating environmental regulations work positively. A panel threshold model is established based on digital economic development level and economic growth level as threshold variables to study the threshold effect of digital economy on carbon emission. Digital economy has a dual threshold effect based on its level and sole threshold effect based on economic growth on carbon emission intensity, and can effectively fulfill carbon reduction over threshold values. This paper puts forward suggestions on combining traditional industries with digital technologies to develop economy, applying flexible combined environmental regulations to lead a green development for industries, speeding up construction of green data center, increasing its operating efficiency, appropriately allocating digital economic resources to reach a quality economic development.
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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
    Abstract140)      PDF(pc) (5234KB)(1264)       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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    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
    Abstract154)      PDF(pc) (2783KB)(1259)       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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    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
    Abstract256)      PDF(pc) (2062KB)(1150)       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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    RELATION AMONG ENVIRONMENTAL PROTECTION TAX, TECHNICAL INNOVATION AND MANUFACTURING PERFORMANCE UNDER MODERATED MEDIATION
    ZHANG Qian, MEI Yali, WANG Kui
    Resources & Industries    2023, 25 (3): 107-120.   DOI: 10.13776j.cnki.resourcesindustries.20230426.002
    Abstract214)      PDF(pc) (1258KB)(1039)       Save
    Technical innovation has become an important approach to economic development and eco-environmental carrying capacity to meet grim environmental challenges. Environmental protection tax is key to green economic transformation, and provides opportunities for manufacturing industry in green harness and promoting performance.This paper, based on Porter hypothesis and China ‘s listed manufacturing companies' data from 2009 to 2020, establishes a regression model adjusted by stock option and executive package incentives,with technical innovation as mediation, which is used to verify the effects of environmental protection tax on manufacturing performance and technical innovation. Results show that environmental protection tax is notably positive with manufacturing performance at 1% level, suggesting the tax improves performance. Environmental protection tax pushes technical innovation to increase performance level. Technical innovation partially plays a mediation between its environmental protection tax and manufacturing performance, and stock option and executives package incentives play a negative mediation: the higher stock option and executive package incentives, the lower the manufacturing performance from environmental protection tax on technical innovation. Imposing environmental protection tax has initially gained achievements, providing references to further reform environmental protection tax and improve manufacturing performance level. This paper presents suggestions for governments on continuously optimizing environmental protection tax, providing policy and regime guarantee in boosting environmental protection and promoting manufacturing industry's green transformation and upgrade, and for manufacturing industry on fulfilling technical innovation, conducting green harness to reach a quality development.
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    IMPACTING MECHANISM OF INDUSTRIAL CO-AGGLOMERATION ON GREEN TECHNICAL INNOVATION IN YANGTZE RIVER ECONOMIC ZONE BASED ON MEDIATION OF TAX COMPETITION

    HUANG Ziqi, LIU Qingquan
    Resources & Industries    2023, 25 (2): 23-36.   DOI: 10.13776/j.cnki.resourcesindustries.20230313.002
    Abstract117)      PDF(pc) (1270KB)(970)       Save
    As China’s industrialization advances, industrial co-conglomeration is becoming a developing trend. Green innovation powers green development, and shapes tax competition pattern. Industrial coordinated development is key to reach innovation and green low-carbon transformation. This paper, aiming at exploring the inner mechanism between industrial co-conglomeration & tax competition and green technical innovation, uses locality entropy and super-efficiency SBM model to estimate 2010 to 2019 industrial co-conglomeration and green technical innovative efficiency in Yangtze River economic zone, and establishes a spatial Dubin model and mediating model to study the spatial effect and impacting mechanism of industrial co-conglomeration on green technical innovation based on tax competition. Yangtze River economic zone has a big room to improve in green technical innovation with regional heterogeneity, which is also of positively spatial correlation, at a rising trend while fluctuating. Industrial co-conglomeration promotes green technical innovation, with a larger positive spatial overflow over its surrounding areas than local. Mediation verification indicates that industrial co-conglomeration can decrease tax competition and promote green technical innovation. This paper presents suggestions on constructing industrial co-conglomeration to lead green innovative development in high co-conglomerating area, and on using policies, developing productive servicing and upgrading/transforming manufacturing. Local governmental tax competition shall be regulated to form a new pattern of competition for innovation.
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    AGRICULTURAL CARBON EMISSION EFFICIENCY AND INFLUENCING FACTORS OF SHAANXI CITIES
    FENG Fei, FENG Jiani
    Resources & Industries    2023, 25 (3): 10-18.   DOI: 10.13776j.cnki.resourcesindustries.20230426.004
    Abstract160)      PDF(pc) (1260KB)(932)       Save
    Agriculture is the second major source of greenhouse gas emission, also one of key carbon emissions. How to develop agriculture while protecting ecological environment is related to realizing high-quality agricultural development.This paper uses Shaanxi ‘s 10 prefectures ‘ panel data from 2005 to 2020, combined with super-efficiency SBM model and ML index model, to estimate their agricultural carbon emission efficiencies, and employs Tobit model to study the major influencing factors.Static agricultural carbon emission efficiency estimated by super-efficiency SBM model is rising and at a high level in Xi ‘an. It is above 1 and also at a high level in Shangluo, but consistently below 1 with no improvement in Tongchuan, Weinan and Yulin, fluctuating in other cities. Dynamic agricultural carbon emission efficiencies from ML index have improved mainly due to technical advances, which has not greatly contributed to their increase. Factors influencing agricultural carbon emission efficiency in Shaanxi ‘s cities based on Tobit model suggest a notable positive relation between agricultural economy and carbon emission efficiency, indicating the more advanced economy, the higher carbon emission efficiency.Production structure and farmland scale have an outstanding negative relation with agricultural carbon emission efficiency, implying that a lower rationalization degree of agricultural production structure, or a larger farmland scale, is not favorable for increasing agricultural carbon emission efficiency.Urbanization level and hazarded crops are generally negatively related to agricultural carbon emission efficiency.This paper presents suggestions for Shaanxi province on increasing agricultural technologies, promoting industrial structural rationalization, raising urbanization level, decreasing crop hazarded degree, and boosting a high-quality agricultural development.
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    NON-LINEAR EFFECTS OF GREEN FINANCIAL DEVELOPMENT ON CARBON EMISSION FROM PERSPECTIVE OF FINANCIAL ECO-ENVIRONMENT

    PAN Haiying, ZHANG Chen, YAN Xiang
    Resources & Industries    2023, 25 (6): 15-30.   DOI: 10.13776/j.cnki.resourcesindustries.20230726.002
    Abstract173)      PDF(pc) (1323KB)(909)       Save
    In order to study if a good financial eco-environment as green financial function in carbon emission reduction, this paper uses financial eco-environment and China ‘s 2008 to 2020 provincial panel data to establish a panel threshold model to test its non-linear effect of green financial development on carbon emission. Results show that green financial development can largely depress carbon emission if no externally environmental constraints, bearing phasing features. At its rapid developing stage, green finance plays a better role. Limited by financial eco-environment, dual threshold effect exists in its impacts, it can not fulfill its functions in depressing carbon emission if under the first threshold value, but increasing if above the two threshold values. As economy, finance and governance levels are over the threshold values, green finance development displays a marginal rising role in depressing carbon emission. An abnormal “central collapsing” happens in carbon emission reduction of green financial development at regime and credit cultures. Geographically, financial eco-environment has a sole threshold effect between green financial development and carbon emission in the eastern and central-western. The eastern has an increasing function while the central-western only starts to emerge as financial eco-environmental level over the threshold values. This paper presents theoretical references for fulfilling carbon emission reduction of green finance from financial eco-environmental construction and for reaching dual carbon goal.
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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
    Abstract155)      PDF(pc) (1199KB)(909)       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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    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
    Abstract137)      PDF(pc) (2851KB)(800)       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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    MPACTS OF TECHNICAL INNOVATION ON GREEN TOTAL FACTOR PRODUCTIVITY BASED ON ADJUSTMENT OF INDUSTRIAL AGGLOMERATION

    YIN Qingmin, JIN Wanting
    Resources & Industries    2023, 25 (2): 1-10.   DOI: 10.13776/j.cnki.resourcesindustries.20230309.002
    Abstract261)      PDF(pc) (1284KB)(800)       Save

    Study of impacts of technical innovation on green total factor productivity from perspective of industrial agglomeration is of strategic significance to promoting a coordinated development between technical innovation and green economy in China and keeping same pace between industrial development and environmental protection. This paper, based on 2008 to 2019 provincial panel data of Chinese provinces (cities), uses SBM model and GML indicator to estimate the dynamic changes of green total factor productivity in 30 Chinese provinces (cities), and applies threshold regression model and adjusting effect model to discuss the threshold and adjusting effects of financing & manufacturing conglomeration on technical innovative achievements and green total factor productivity. Results show a strikingly positive coefficient of technical innovative achievements on green total factor productivity, a positive adjusting and sole threshold effect of financing conglomeration on technical innovative achievement and green total factor productivity, and a negative adjusting of manufacturing conglomeration, and an outstandingly adjusting of local public budget, residents usable income per capita and foreign investment on green total factor productivity. This paper presents suggestions on focusing on their match between technical innovative achievements and green economic development, enabling digital financing to break the spatial barrier of financing, converting manufacturing to a quality conglomeration, properly allocating financing resources in environmental protection sector, and boosting supervision of foreign investment in environmental protection.

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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
    Abstract125)      PDF(pc) (8058KB)(716)       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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    MEASUREMENT AND TEMPORAL-SPATIAL PATTERN EVOLUTION OF CARBON SEQUESTRATION AND VALUES OF SHAANXI’S ECO-SYSTEM
    HUANG Xin, HAN Ling, MA Chaoqun
    Resources & Industries    2024, 26 (1): 141-153.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.001
    Abstract69)      PDF(pc) (6922KB)(715)       Save
    Functional carbon sequestration of eco-system is one of key ways to carbon neutralization. This paper, from perspective of land use, uses carbon sequestration rating to estimate the 2000 and 2020 carbon sequestration and values of Shaanxi’s county-level forest, grasslands and wetlands ecosystems, and applies spatial statistics to reveal its temporal-spatial evolution. During 2000 to 2020, their carbon sequestration has increased at different levels, of which forest increased the most as the biggest contributor to Shaanxi’s eco-system. Carbon sequestration of Shaanxi’s county-level forests and grasslands is of outstandingly spatial clustering, carbon sequestration hotspots of forests are concentrating in Qinling mountainous area, that of grasslands in northern Shaanxi’s Great Wall Windy & Sandy Area, cold spots are all concentrating in Guanzhong plain. Southern Shaanxi’s Qinba mountainous area has the most capability in carbon sequestration, while northern Shaanxi’s loess hilly valley has the biggest increment. All cities have increased their carbon sequestration except Xi’an, Yan’an and Yulin are the top two in growth. The top 5 cities in carbon sequestration values in Shaanxi’s eco-system are Hanzhong, Yan’an, Ankang, Baoji and Shangluo, amounting to 78.33% of the entire province.
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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
    Abstract302)      PDF(pc) (2230KB)(653)       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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    QUANTITATIVE EVALUATION OF CHINA‘S MANUFACTURING SERVITIZATION POLICIES BASED ON PMC INDEX
    LI Hui
    Resources & Industries    2023, 25 (4): 105-115.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.006
    Abstract77)      PDF(pc) (2963KB)(647)       Save
    Servitization policies for manufacturing is a strategy to ensure its high-quality development. Its quantitative evaluation can provide references for making, adjusting and optimizing related policies. This paper, based on China’s 13 servitization policies boosting manufacturing issued by all-level governments during 2014 to 2021, uses PMC index model and text mining to quantitatively evaluate the servitization policies for China‘s manufacturing. The results show that PMC indexes of 7 out of the 13 policies are classified at excellence, 6 at qualified, indicating an appropriate overall design of China’s servitization policies for manufacturing, still with room for improvement. Their coverages and diversities reveal that China‘s all level governments are fully aware of importance of boosting manufacturing servitization. During execution of servitization policies issued by central government, China‘s all level governments can closely follow nation’s policies and make localized servitization policies consistent with local economy. China’s existing servitization policies are most on guideline and encourage with lack of supervision, leading to issues such as weak servicing consciousness and narrow servicing domain during development of China‘s manufacturing servitization. PMC indexes of the 13 policies show that China has issued policies favorable for manufacturing servitization from administration, department guidelines and industrial regulations, but lack of legal supports, which needs to be incorporated into manufacturing servitization policies so as to better resolve operational issues. 
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    FDI, FINANCIAL PRESSURE AND GREEN TOTAL ELEMENT PRODUCTIVITY

    ZHU Ruirui, WANG Keliang, ZHANG Fuqin
    Resources & Industries    2023, 25 (6): 77-90.   DOI: 10.13776/j.cnki.resourcesindustries.20231011.001
    Abstract70)      PDF(pc) (1423KB)(641)       Save

    China ‘s economy is in a critical transforming period, which is powered by improving environmental pollution and increasing energy use efficiency. This paper, from dual perspectives of financial pressure and FDI, combines financial pressure, FDI and green total element productivity into a united research framework, uses 2003 to 2021 green total element productivity of 30 provinces/cities ‘ panel data in China to establish a SAR, SEM and SDM to experimentally study their relation among FDI, financial pressure and both with green total element productivity and spatial effects. Green total element productivity, FDI and financial pressure are highly spatially correlated. Financial pressure and FDI adversely affect the increment of total green element productivity, but their interaction works positively. FDI, financial pressure and their interaction have regional spatial heterogeneity on green total element productivity. The eastern China ‘s FDI increases green total element productivity through blocking neighboring ‘s green total element productivity, while financial pressure and their interaction constraint it. The central-western China ‘s FDI and financial pressure constraint increasement of green total element productivity, but their interaction and spatial overflowing can promote it. FDI, financial pressure and their interaction have obvious temporal heterogeneity on green total element productivity, outstandingly positively correlated during 2003 to 2008, strikingly negatively during 2009 to 2021 while their interaction positively. This paper presents suggestions on increasing FDI ‘s quality, using pollution halo effect to increase green total element productivity, raising local governmental financing power to economically support green economic transformation, establishing regional cooperation on controlling pollution.

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    RESEARCH ADVANCES OF AESTHETIC SERVICE ASSESSMENT OF ECOSYSTEM

     

    JIANG Wei
    Resources & Industries    2023, 25 (5): 96-106.   DOI: 10.13776/j.cnki.resourcesindustries.20230908.001
    Abstract94)      PDF(pc) (1204KB)(638)       Save
    Aesthetic service of ecosystem is one of cultural services between human and ecosystem, vital to human ‘s welfare, but its intangibility, subjectivity, data accessibility and lack of standard assessment process make quantitative assessment difficult. This paper, based on theoretical basis of aesthetic service of ecosystem, focusing on subjectivism and objectivism paradigms of aesthetic assessment, uses systematic method to summarize the major assessment ways of aesthetic service of ecosystem since the 21st century. As attentions on aesthetic service are increasing, assessment methods show two directions, decentralization and centralization. Decentralization is more objective in objectivism, more subjective in subjectivism, while centralization serves as a joint paradigm. This paper discusses the methods ‘ application and limitation in ecosystem management, regional planning and industrial development, and presents suggestions for future research on comprehensive modelling, temporal-spatial dimension, supply-demand analysis and values assessment.
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    IMPACTS OF ENVIRONMENTAL REGULATIONS ON INVESTING INCLINATION OF HEAVILY POLLUTING COMPANIES: BASED ON CHINA’S A-LISTED COMPANIES’ DATA

    QIU Lei, MA Beiwen, ZHOU Qin, CHENG Changgao
    Resources & Industries    2023, 25 (3): 92-106.   DOI: 10.13776j.cnki.resourcesindustries.20230426.007
    Abstract118)      PDF(pc) (1262KB)(625)       Save

    Environmental regulation can promote saving-energy-reducing-emission, and is a path to China ‘s green development. Companies will select appropriate investing strategies against strict environmental regulations.To explore how companies to confront environmental regulations with investing inclinations can help weigh execution effects of environmental regulations and provide suggestions on making proper environmental regulations.This paper uses environmental regulation indicators to estimate its regulation intensity of China ‘s 31 provinces(cities), and checks their investing inclinations of heavily polluting companies from green transformation motive and market profiting motive based on 20102019 A-listed heavily polluting companies ‘ non-balanced panel data, analyzes the effects under company ownership heterogeneity and regional heterogeneity, and further tests the potential mechanism of their investing inclinations. Study shows that environmental regulation largely promotes the green technical innovation of heavily polluting companies, but little on financialization.As environmental regulation gets enhanced, heavily polluting companies prefer to invest in green technical innovation, rather than increasing financial assets to deal with environmental harness pressure.This conclusion validates in lagging analysis, addingaltering controlling variables, dual clustering stability tests. Compared with central & western Chinese companies and private companies, environmental regulation promotes green technical innovation behaviors and quality more for eastern Chinese companies and state-owned companies. Further tests imply that intensifying environmental regulation may relieve its financing constraints to some degree, so promoting green technical innovation for heavily polluting companies.This paper suggests China continue to increase its environmental regulation standard and intensity, appropriately apply differentiated environmental policies, and encourage heavily polluting companies to carry out green competition, advance green financing development, establish environmental protection financing mechanism to mitigate financing problems, and support green financing business at the same time.

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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
    Abstract848)      PDF(pc) (1240KB)(624)       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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    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
    Abstract246)      PDF(pc) (1113KB)(608)       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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    ECOLOGICAL FOOTPRINT DYNAMIC MODELLING AND MEASUREMENT OF LOESS PLATEAU VALLEY BASED ON ARIMA MODEL: A CASE STUDY ON LANZHOU CITY
    YU Wenbao
    Resources & Industries    2024, 26 (1): 133-140.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.004
    Abstract56)      PDF(pc) (1307KB)(556)       Save

    To explore the causes of eco-footprint dynamic changes from perspective of economic development, this paper measures the developing path of the per capita ecological footprint from 2002 to 2014 in Lanzhou, a loess plateau valley city, uses ARIMA model to forecast its ecological footprint changing trend from 2015 to 2020. The per capita ecological footprint is rising from 2.70 hm2 in 2002 to 4.25 hm2 in 2014, increase of 1.57 times. And the rising rate of the per capita ecological footprint reaches to 4.04%, 7.84% lower than its GDP’s growing rate 11.88%, suggesting Lanzhou’s economic development speed is higher than speed of resources and environmental consumption. The per capita ecological footprint of Lanzhou from 2015 to 2020 still shows a rising trend, forecasted to reach up to 4.48 hm2, 4.61 hm2, 4.75 hm2, 4.89 hm2, 5.02 hm2 and 5.17 hm2, with an enlarging ecological deficit. Lanzhou’s gross ecological footprint is 19.59 times of the total area of urban land use, indicating a strong correlation between economic growth and ecological demands,indicating the inflection point of Environmental Kuznets curve doesn’t take place, implying a unsustainable status. This paper presents a path to decreasing Lanzhou’s ecological footprint from adjusting industrial structure, decreasing ecological deficit to promote economic quality and sustainable capacity, advancing green development, and constructing an ecological network of ecological diversity, appropriate layout, full-functional integration of natural ecosystems and rural-urban union to increase eco-environmental capacity.

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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
    Abstract242)      PDF(pc) (2844KB)(555)       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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    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
    Abstract121)      PDF(pc) (2038KB)(502)       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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    IMPACTS OF BUSINESS ENVIRONMENT ON TECHNICAL INNOVATION OF CHINA‘S MINOR ENTERPRISES FROM PERSPECTIVE OF RESOURCES-BASIS VIEW
    ZHOU Shenbei, YANG Zhe, ZHANG Guiqing
    Resources & Industries    2023, 25 (4): 93-104.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.001
    Abstract64)      PDF(pc) (1278KB)(496)       Save
    This paper on the purpose of exploring the impacts of business environment on technical innovation of China's minor enterprises, uses access to policy resource as a bridge to establish a framework of “business environment-resource accesstechnical innovation” from perspective of resources-basis view, take the data of A-share GEM listed companies in Shenzhen Stock Exchange from 2009 to 2017 as the research sample,which is used to study the mechanisms of business environment on technical innovation of China's minor enterprises, and to analyze the mediation of policy resources access between business environment and technical innovation of minor enterprises, and the moderating effect of market competitiveness intensity on policy resources access and technological innovation of minor,and uses the fixed effect model and the intermediary effect model to conduct empirical tests. Optimizing business environment can promote their technical innovation of China's minor enterprises. Among the tier 2 indicators of business environment, market intermediary organizations' development and legal system environment,development of factor market, development of private economy play an outstandingly positive role on their technical innovation. Excessive estrangement between the government and the market can have a restraining effect on technological innovation of minor enterprises. Development of products market works little on innovation of minor enterprises. Heterogeneity analysis suggests eastern China's business environment play a larger pushing role on minor enterprises' technical innovation than central-western China's. Business environment can not only directly boost their technical innovation of China's minor enterprises, but also indirectly through policy resources access. Access to policy resources plays a partial intermediary role between business environment and minor' technological innovation, accounting for 0.806 of the total effect of business environment on minor' technological innovation. Market competitiveness intensity plays a positive modulation between policy resources access and minor enterprises' technical innovation, the higher market competitiveness intensity, the access to policy resources will play a more positive role in promoting minor' technological innovation.
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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
    Abstract223)      PDF(pc) (1097KB)(493)       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 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
    Abstract155)      PDF(pc) (1855KB)(451)       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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    THRESHOLD EFFECT OF CHINA'S OFDI ON “THE BELT AND ROAD” NATIONS' GTFP
    WANG Ning, LI Yinguo
    Resources & Industries    2022, 24 (5): 29-39.   DOI: 10.13776/j.cnki.resourcesindustries.20221017.001
    Abstract134)      PDF(pc) (1239KB)(447)       Save
    Green development has attracted worlds' attention by its resource-saving and environment-friendly orientation under the background of sustainable development, with its focus on increasing green total factor productivity (GTFP), which marks the economic growth efficiency, also considers resource consumption and environmental pollution. Amid “the Belt and Road” construction, China is increasing its investment in the nations. This paper uses panel threshold model to study the impacts of China's OFDI on “the Blet and Road” nations' GTFP based on China and those nations' political, economic, and environmental differences. Results show that China's OFDI plays a positive role on “the Belt and Road” nations' GTFP, which also is limited by the political and economic regime distance, diminishing with regime distance. Regression coefficient of China's OFDI on “the Belt and Road” nations' GTFP is 0.072 when their political regime distance is less than 1.986, 0.058 between 1.986 to 2.513, and 0.012 when larger than 2.513. Regression coefficient is 0.102 when economic regime distance is less than 1.440, 0.085 between 1.440 to 2.575, and 0.023 when larger than 2.575. Increasing OFDI can offset the impacts of political and economic distance. Positive impacts of China's OFDI on “the Belt and Road” nations' GTFP increases from 0.028 to 0.122 when China's OFDI scale increases from 3.899 to 4.15.
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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
    Abstract188)      PDF(pc) (3757KB)(446)       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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    ALUMINUM RESOURCE DEMAND IN NEXT DECADE UNDER NEW INDUSTRIAL SITUATION 

    CUI Bojing, CHEN Qishen, WANG Kun, et al
    Resources & Industries    2023, 25 (6): 31-40.   DOI: 10.13776/j.cnki.resourcesindustries.20230913.001
    Abstract184)      PDF(pc) (3975KB)(445)       Save

    Rapid growth of new low carbon industries like of new electric vehicles and photovoltaic recently leads to a surging demand for aluminum resource, but production of primary aluminum has high energy consumption and large carbon emission, challenging the global climate changes and dual carbon goal. This paper uses system dynamics simulation model to forecast China ‘s aluminum resource production/consumption in next decade, and quantitatively evaluates its carbon emission potential under normal, policy and ideal scenarios from a perspective of entire life circle bauxite-aluminum oxide-primary aluminum-aluminum products-recycling aluminum, and forecasts the future supply of primary and recycling aluminum. In next decade, aluminum demand will be still fast rising, mainly contributed by the growing new energy vehicles. Transportation will become the largest aluminum consuming sector over construction sector. The premium approach to aluminum carbon reduction is to develop recycling aluminum resource, then to optimize electricity-using structure in electrolytic aluminum.To face a challenging global economic situation, this paper presents suggestions on developing power-saving-environment-protecting primary and recycling metallurgical technologies and methods, increasing development/use and recycling levels of aluminum resource, constructing an effective aluminum resource recycling system, decreasing uncertainty in aluminum resource supply so as to secure China ‘s aluminum resource guaranteeing capacity and to boost a quality development of China ‘s aluminum industry.

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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
    Abstract160)      PDF(pc) (3828KB)(432)       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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    GREEN CREDIT POLICY, ESG PERFORMANCE AND CAPITAL STRUCTURAL ADJUSTMENT OF HIGHLY-POLLUTING FIRMS
    DONG Yue, PAN Haiying
    Resources & Industries    2024, 26 (1): 75-85.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.002
    Abstract74)      PDF(pc) (1319KB)(428)       Save
    Green credit policy as a vital means to remove structural leverage is much helpful for highly-polluting firms to upgrade their capital structures. ESG focusing on environment, social and governance can impact highly-polluting firms’ capital structure adjustment. This paper, based on China’s A-listed 2011 to 2020 highly-polluting firms’ ESG performance, studies the effects of green credit policy on capital structural adjustment of highly-polluting firms. Green credit policy largely promotes the capital structural adjustment of highly-polluting firms, more for high debit firms than low debit firms. Green credit policy can enhance highly-polluting firms’ ESG performances, which can weaken the effects of green credit policy on capital structural adjustment of highly-polluting firms. Implementing effects of heterogeneity of financing constraints and commercial credit on green credit policy show that green credit policy can largely boost their capital structural adjustment of highly-polluting firms with strong financing constraints and low commercial credits compared to with weak financing constraints and high commercial credits. Relation between green credit policy and capital structural adjustment of highly-polluting firms plays a big role in optimizing credit resource allocation and pushing green transformation of highly polluting firms.
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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
    Abstract281)      PDF(pc) (1157KB)(427)       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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    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
    Abstract143)      PDF(pc) (1665KB)(419)       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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    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
    Abstract144)      PDF(pc) (2267KB)(400)       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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    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
    Abstract233)      PDF(pc) (4668KB)(388)       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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