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    20 June 2022, Volume 24 Issue 3
    BENCHMARKING-ORIENTED URBAN GREENHOUSE GAS ACCOUNTING METHODOLOGY FRAMEWORK IN CHINA
    GAO Yuan, LIU Gengyuan, CHEN Caocao, et al
    2022, 24(3):  1-20.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.014
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    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. 
    GREEN EFFICIENCY OF INDUSTRIAL WATER RESOURCE IN YANGTZE RIVER ECONOMIC ZONE BASED ON WATER FOOTPRINT AND SBM-MALMQUIST MODEL
    WANG Baoqian, LI Xinran
    2022, 24(3):  21-31.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.015
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    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.
    A CASE STUDY ON YANGTZE RIVER DELTA: INDUSTRIAL GREEN GDP ACCOUNTING AND DEVELOPING EFFICIENCY
    SUN Fuhua, CAI Binbin, SHEN Juqin
    2022, 24(3):  32-42.  DOI: 10.13776/j.cnki.resourcesindustries.20220602.001
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    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. 
    IMPACTS OF WATER RESOURCE TAX REFORM ON INDUSTRIAL WATER USE EFFICIENCY INWATER SHORTAGE AREAS
    TIAN Guiliang, GAO Tingyan
    2022, 24(3):  43-52.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.008
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    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.
    EVOLUTION OF XINJIANG'S REGIONAL ECONOMIC COORDINATED DEVELOPMENT FROM PERSPECTIVE OF SPATIAL CONVERGENCE
    HOU Zhenmei, ZHANG Pengyan, ZHOU Yong
    2022, 24(3):  53-62.  DOI: 10.13776/j.cnki.resourcesindustries.20220606.001
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    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.
    RESEARCH ON REGIONAL ECONOMIC DEVELOPMENT DIFFERENCES BY INTEGRATING OAXACA-BLINDER DECOMPOSITION METHOD FROM THE PERSPECTIVE OF ENVIRONMENT REGULATION
    CHEN Xin, LIU Yuanhua, SHI Cuicui
    2022, 24(3):  63-70.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.009
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    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.
    GREEN DEVELOPMENT EFFICIENCY MEASUREMENT AND FACTORS OF YANGTZE RIVER ECONOMIC ZONE UNDER PERSPECTIVE OF CARBON EMISSION
    MA Jun, WU Linling, LU Yuqin
    2022, 24(3):  71-80.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.010
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    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. 
    TEMPORAL-SPATIAL IMBALANCE OF PROVINCIAL WATER USE EFFICIENCY DYNAMIC EVOLUTION AND DRIVES BASED ON GEOGRAPHIC DETECTOR
    ZHANG Hengquan, GU Qianwen, ZHANG Chenjun
    2022, 24(3):  81-93.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.012
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    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.
    ENVIRONMENTAL INFORMATION DISCLOSURE, INSTITUTIONAL INVESTORS AND STOCK PRICE CRASH RISKS
    NIE Zhiping, WANG Ying
    2022, 24(3):  94-105.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.013
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    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.
    CARBON EMISSION FACTORS AND SCENARIO FORECAST OF HUBEI'S TRANSPORTATION INDUSTRY
    WANG Lijun, PANG Yaqian, CHEN Mengdong
    2022, 24(3):  106-113.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.005
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    Urbanization rate, passenger and freight turnover, per capita GDP and energy intensity are used to mark the carbon emission impacts of Hubei's population, economy and technologies on its transportation industry. This paper analyzes the carbon emission, population urbanization rate and energy intensity, and uses STIRPAT extended model to study carbon emission factors of Hubei's transportation industry. Data exists lots of multiple co-linear issues that make inaccurate results if ordinary least method is used. After processed with partial least square method, a coefficient of carbon emission and factors is obtained. The results show that urbanization rate, passenger and freight turnover, per capita GDP and energy intensity are positively connected with the gross carbon emission by transportation industry. According to Hubei's 2000—2018 carbon emission data of transportation industry, scenario method is employed to forecast the 2030 carbon emission, low, middle and high carbon emission. Under these three scenarios, annual growing rate of explained variables are calculated, its results then are used to estimate the annual average growing rate of 2019 to 2030 carbon emission. In 2030 carbon emission will be 10 817 kt, 11 314 kt and 11 765 kt under low carbon emission scenario, benchmark scenario and high scenario. Population and technology play a bigger part in carbon emission, increment of urbanization rate and energy intensity will result in an large increase in energy demand and carbon emission, exerting pressure on urban transportation. Combined with state's 2030 carbon emission peak objectives, and compared with 2030 forecasted results on three scenarios, the carbon emission peak is reached. This paper presents suggestions on saving energy and reducing carbon emission, optimizing transportation energy structure and conducting low-carbon economy and sustainable development policies.
    GAMBLING ANALYSIS ON POLLUTION CONTROL AND EMISSION REDUCTION STRATEGY OF MAIN & TRIBUTARY STREAMS UNDER COMPENSATION-REWARD MECHANISM
    YANG Yaohong, LIU Ying, DAI Jing, et al
    2022, 24(3):  114-125.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.006
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    Stream is composed of several main and tributary streams, an interactive and complicated system. Stream water pollution and eco-environmental issues need a cooperation of main streams and tributary streams. Most studies are focused on water pollution prevention and controls of upper-to down-stream, less on the cooperation of main and tributary streams, which is hard to conduct a whole-stream cooperative water pollution control. This paper, aiming at a systematic solution to trans-boundary stream water pollution, presents a whole-stream water pollution control which extends upper-to down-stream water pollution control to main and tributary streams, on which evolution and factors of governmental decision are analyzed. Based on a gambling evolution model, this paper establishes a triple governmental gambling return matrix and a dynamic equation, discusses a stable evolution path under compensation-reward mechanism, and analyzes the stability conditions of gambling balancing strategy. Numeric simulation is used to study the pollution migration coefficient, rewards of main stream government to tributary stream government and initial pollution control will. Results show that the major factor among tributary governments, the bigger pollution migration coefficient in one tributary stream, the lower will of the other tributary streams to control pollution. If the coefficient is larger than the critical value, the other tributary governments prefer to do nothing. The higher initial will to control pollution of the tributary government, the larger the coefficient. Factors between main stream and tributary stream governments are compensation and rewards of main stream government to tributary steam government, and ecological compensation of tributary stream government to main stream government, the more rewards, the higher will to control pollution. This paper provides references for main and tributary stream governments to make ecological compensation and rewarding mechanism to reach pollution control and emission reduction. 
    IMPACTS OF GOVERNMENTAL SUBSIDIARY ON COMPANIES' INNOVATIVE PERFORMANCE IN NEW ENERGY SECTOR
    XIAO Yu, LU Yuyang
    2022, 24(3):  126-133.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.002
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    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.
    A CASE STUDY ON YANGTZE RIVER DELTA: ECOLOGICAL COMPENSATION AND MACROSCOPIC ECONOMIC EFFECTS BASED ON CGE MODEL
    LOU Wensheng, TIAN Guiliang
    2022, 24(3):  134-145.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.003
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    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%.
    EVALUATION AND APPLICATION OF LAKE ENVIRONMENTAL GOVERNANCE PERFORMANCE BASED ON PSR MODEL
    DU Xiaorong, LIU Yuanhang
    2022, 24(3):  146-158.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.004
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    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.
    FACTORS CONFIGURATION AND PATH TO KAZAKHSTAN'S AGRICULTURAL DEVELOPMENT VIEWING FROM VALUE CHAIN BASED ON QCA METHOD
    WANG YanYang, WANG JingJing
    2022, 24(3):  159-168.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.007
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    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.
    RISK ASSESSMENT OF MINERAL RESOURCES INVESTMENT IN “THE BELT AND ROAD” NATIONS UNDER ANTI-GLOBALIZATION
    SUN Minghao, LIAO Qiumin
    2022, 24(3):  169-180.  DOI: 10.13776/j.cnki.resourcesindustries.20220527.001
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    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.