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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
    Abstract870)      PDF(pc) (1240KB)(625)       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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    FORECAST OF JIANGSU'S CARBON BALANCE POTENTIAL UNDER “DUAL CARBON” OBJECTIVES

    ZHU Zhiming, GUI Mengting, LI Hongyan
    Resources & Industries    2023, 25 (1): 1-13.   DOI: 10.13776/j.cnki.resourcesindustries.20220715.001
    Abstract394)      PDF(pc) (1940KB)(263)       Save

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

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    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
    Abstract310)      PDF(pc) (1157KB)(444)       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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    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
    Abstract307)      PDF(pc) (2230KB)(658)       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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    CARBON EMISSION FEATURES AND PEAK PREDICTION IN JIANGSU PROVINCE
    GAO Shan, CAO Mingxia, LI Dan
    Resources & Industries    2023, 25 (3): 1-9.   DOI: 10.13776j.cnki.resourcesindustries.20230509.001
    Abstract303)      PDF(pc) (1502KB)(367)       Save
    Carbon emission estimation and peak planning are effective local attempts to materialize nation ‘s “dual-carbon” objective. This paper, based on the connection between carbon emission estimation and carbon peaking forecast,estimates Jiangsu ‘s carbon emission from energy consumption, industrial and agricultural production and waste disposal,overviews the phased features of regional carbon emission, energy use and industrial structures, and uses Kaya formula to set up key factors,which are employed to forecast the developing potential of population, economic growth and energy structures. Carbon reduction paths and carbon peaking plans are designed under low, middle and high carbon peaking scenarios. Jiangsu ‘s carbon emission from 2005 to 2019 shows a fluctuated increment at a gentle speed, and increases by 1.11 times, mainly contributed by high-carbon energy and industrial structures, up to 90% from energy consumption and industrial production, along with rice planting and solid waste incineration. Future carbon emission is closely related to population, economic growth, energy intensity, energy structure. Among three carbon peaking scenarios from 2020 to 2030, Jingsu ‘s carbon emission will peak at 1.026 billion tons in 2027 in low constraint plan, three years earlier than in middle and high constraint plans with extra reduction of 0.054 and 0.112 billion tons respectively. Low constraint plan is consistent with international rules, favorable for achieving carbon reduction and carbon neutralization. This paper suggests controlling carbon increment scale, promoting implementation of low constraint plan, focusing on clean replacement of renewable energy and low carbon technical applications of manufacturing, transportation, construction and agriculture while maintaining economic stability.
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    RESEARCH ON REGIONAL ECONOMIC DEVELOPMENT DIFFERENCES BY INTEGRATING OAXACA-BLINDER DECOMPOSITION METHOD FROM THE PERSPECTIVE OF ENVIRONMENT REGULATION
    CHEN Xin, LIU Yuanhua, SHI Cuicui
    Resources & Industries    2022, 24 (3): 63-70.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.009
    Abstract300)      PDF(pc) (1710KB)(239)       Save
    Regional economic growth variance has always been a focus in theory and practice. Based on Shanghai and Anhui's 2005—2018 provincial panel data, this paper study the reason of regional economic growth variance. Random Forest Method is used to select other important factors besides environment variable, and classic threshold regression model is employed to mark the critical point between the high and low environmental regulations, which is based to divide the sample into two stages, and Oaxaca-Blinder decomposition is applied to discuss the reasons of regional economic variance under different environmental regulations. Environmental petition mounts to 35 217 marking a critical point of environmental regulation level, with Anhui and Shanghai standing at the prior half of Environmental Kuznets Curve, mainly led by “innovative compensation effect” of environmental regulations. In the single decomposed Oaxaca-Blinder variable, human capital and informatization level are the major reason of regional economic variance in the low level samples and in the whole samples with their specific return variance values at -3.161 3 and 0.092 6. In the overall Oaxaca-Blinder decomposed results, contribution proportion of specific return variance in the whole samples increases by 15.28%, suggesting Anhui's economic growth level be at a more “discriminated” level under the overall level. This paper suggests that governments shall improve public-involved environmental regulation policies, and give youth an innovative environment and resource, and adjust financial expenses to minimize the regional economic growth variance, not only helpful in understanding provincial economy under different environmental regulations, but also providing guidelines to reach a balanced regional economic growth from most aspects.
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    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
    Abstract279)      PDF(pc) (2062KB)(1628)       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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    RESEARCH & DEVELOPMENT INVESTMENT INTENSITY AND PERFORMANCE OF PHOTOVOLTAIC COMPANIES ADJUSTED BY FINANCIAL LEVERAGE AND EQUITY NATURE
    XIAO Yu, GONG Guiying
    Resources & Industries    2022, 24 (4): 21-29.   DOI: 10.13776/j.cnki.resourcesindustries.20220307.001
    Abstract273)      PDF(pc) (1255KB)(269)       Save
    Technical innovation theory is used to study the relation between research & development innovation and performance of Chinese photovoltaic companies, and financial leverage is incorporated into model to further study variances between state-owned and private companies, providing decision-making references for photovoltaic companies to make R&D investment strategies and to make performance plans. This paper, based on 100 stock A-listed photovoltaic companies' panel data from 2016 to 2020, uses Hausman test and random effect to study the adjustment of financial leverage and equity nature with R&D input intensity as independent variable and companies' performance as dependent variable. The results show an upside-down “U-shaped” relation between them, increase of input can promote companies' performance when input is insufficient; however, this promotion may become adverse as R&D input increases. Financial leverage plays a negative role that their relation can be weakened as financial leverage coefficient rises. The upside-down “U-shaped” relation exists both in state-owned and private companies, outstandingly in the latter. An appropriate R&D input intensity largely promotes photovoltaic companies'performances, subject to their capital allocation. Photovoltaic companies should consider their R&D input according to their overall strategy, which makes appropriate R&D input strategy from input & output and capital operation. Private companies complying with marketized operation have a well stimulating mechanism. Stateowned companies' performance can be promoted if private equity is adopted appropriately. 
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    ENERGY CONSERVATION AND EMISSION REDUCTION EFFECTS OF STEEL-CAPACITY-CUTTING POLICY BASED ON INPUT/OUTPUT MODEL
    SUN Xiaoqi, SHI Qing
    Resources & Industries    2022, 24 (4): 1-8.   DOI: 10.13776/j.cnki.resourcesindustries.20211221.006
    Abstract270)      PDF(pc) (3457KB)(239)       Save
    This paper, based on China's input/output data of 2017 and carbon emission coefficient of standard coal, uses sole regional environmental input/output model to estimate the direct and complete energy conservation and emission reduction effects under different steel-capacity-cutting scenarios, aiming at providing supportive study for policies evaluation. Under the scenario of 25 million tons capacity cutting, 19 million tons of standard coal can be saved directly, 32 million tons in total saving, and 40 million tons of carbon dioxide emission can be directly reduced, 68.37 million tons in total reduction. Under the scenario of 37.5 million tons capacity cutting, 28.56 million tons of standard coal can be saved directly, 48.15 million tons in total saving, and 60.84 million tons of carbon dioxide emission can be directly reduced, 103 million tons in total reduction. Under the scenario of 100 million tons capacity cutting, 76 million tons of standard coal can be saved directly, 1.94% of China's energy consumption in 2017, and 128 million tons in total saving, 3.28% of China's energy consumption in 2017; and 162 million tons of carbon dioxide emission can be directly reduced, 273 million tons in total reduction. Under the scenario of 150 million tons capacity cutting, 114 million tons of standard coal can be saved directly, and 193 million tons in total saving, 4.93% of China's energy consumption in 2017; and 243 million tons of carbon dioxide emission can be directly reduced, 410 million tons in total reduction. Steel-capacity-cutting policy has notable energy-saving and emission-reduction effects and the total energy-saving and emission-reduction far outweighs the direct. Capacity-cutting substantially contributes to China's response to climate changes. However, steel sector is one of China's major industries containing large employment in its up- and down-stream. Employment shall be comprehensively considered amid steel-capacity-cutting process in an orderly way. This paper does not cover the diminishing effects from raised energy efficiency and emission reduction effects from adjusted energy structure, which needs further studies.
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    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
    Abstract266)      PDF(pc) (1284KB)(1287)       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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    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
    Abstract265)      PDF(pc) (1113KB)(633)       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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    IMPACTS OF CHINA'S ENERGY TRADE COOPERATION WITH “THE BELT AND ROAD” NATIONS ON ENERGY SECURITY
    ZHOU Jing, HAN Jiqin
    Resources & Industries    2022, 24 (6): 31-43.   DOI: 10.13776/j.cnki.resourcesindustries.20221026.003
    Abstract247)      PDF(pc) (1771KB)(120)       Save

    As uncertain risks are rising in global politics and economy, anti-globalization which is harmful for industrial security and stability begin to arise. To discuss if China’s energy trade cooperation with the Belt and Road nations can offset the adverse impacts of anti-globalization and deeply analyze the role of international energy cooperation on the energy security of participating countries and regions and the underlying impact mechanism. This paper attempts to uses Tobit model and basic regression model to study the impacts of China’s energy trade cooperation with the Belt and Road nations on energy security during 2000 to 2020 under the Blet and Road Proposal from energy consumption and production with robustness tested. Results show China can guarantee itself energy consumption security and energy production security under China’s energy trades with the Belt and Road nations. Increasing the total energy trade between China and the Belt and Road nations can improve the energy consumption security level of these nations by reducing the energy use costs of cooperative energy consuming nations. Also can improve the energy production security level of these nations by promoting economic growth of cooperative energy producing nations. Constrained by the geographic location, the positive effect of energy trade cooperation between China and Asian countries along  “the Belt and Road” is more significant than that of other regions. This paper concludes that China’s energy trade with the Belt and Road nations can positively promote their economic sustainability, guarantee energy security and reach a mutual bloom. In order to maintain the energy security of China and  the Belt and Road nations, we should constantly expand and deepen the energy cooperation between  “the Belt and Road” nations, promote the diversification of energy trade, continue to optimize the international cooperation environment, and create good external conditions for international energy trade. To resist the security threats posed by various external adverse factors to China’s participation in international energy trade, China should constantly enhance its comprehensive strength to ensure the safety and smoothness of international energy transport channels. For a sustainable energy development, China shall boost its’ international cooperation with the Belt and Road nations on clean and new energies and reform their energy production and consumption ways.

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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
    Abstract246)      PDF(pc) (2844KB)(560)       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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    CHINA'S REE SUPPLY RISKS VIEWING FROM CHINA-AMERICA'S COMPETITION
    WEN Shaobo, CHEN Zhihua, LIU Xueyong
    Resources & Industries    2022, 24 (5): 1-9.   DOI: 10.13776/j.cnki.resourcesindustries.20221014.001
    Abstract246)         PDF(mobile) (2148KB)(128)    Save
    REEs are indispensable materials for advanced manufacturing, new energy, new industries, and the weapon industry. China has an asymmetric dependence with America on REE mining and processing. This paper uses complicated network to recognize the evolutional process of China-America's Competition-Cooperation in the global REE markets, and establishes an index system to quantitatively identify China's confronting REE supply risks from REEs market concentration, producers' supply capacity and willingness, attempting to provide reference for China to make REE policies amid competition with America. China has a changing competition with America in the global REE markets, facing potential supply risks when China maintain REE market advantages relying on external sourcing. Viewing for market concentration, China has a declining REE market influencing power. China's top 2 REE suppliers are weak in supplying, and it is possible that China's major REE partners to interrupt supplying REE resources.
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    IPCC AR6'S VIEWS ON POTENTIAL IMPACTS AND HARNESS OF SOLAR RADIATION MODIFICATION ON NATURE AND SOCIETY
    ZHENG Guoliang, LIAO Hua
    Resources & Industries    2024, 26 (4): 1-9.   DOI: 10.13776/j.cnki.resourcesindustries.20240226.001
    Abstract239)      PDF(pc) (1372KB)(62)       Save
    Discussions on solar radiation modification (SRM) to harness global climate change in academic domain have been rising. This paper gives an interpretation of IPCC ARR regarding its SRM's risks and obstacles on nature and society. SRM serves as an imperfect supplement in carbon emission reduction and removal, can offset radiation from manmade green gas emission through influencing the earth's radiation balance, reaching a fast cooling down and decrease other climatic hazards, but SRM has no solution to source of green gas, whose impacts on nature and human will remain with its rising concentration. Effectiveness and potential impacts of SRM is of spatial heterogeneity, and a long-term risk may be brought to human and nature upon its execution, uncertain on the crops production, human's health and eco-system. Decision must consider the regional heterogeneity and long-term risks to avoid its negative impacts on vulnerable areas and to human's offsprings. Slow research advances, low public recognition and ethic concept, and imbalanced nation's interests impedes SRM's scientific tests and international harness. SRM's research is challenged by unreliable evaluation conclusion, doubtful assumed rationality and future uncertainty. The current scientific basis cannot effectively support SRM's international harness. Nations with different interests, values and geopolitics are hard to reach agreement on SRM. Lack of official responsibilities and laws may bring new risks to international cooperation and peace. SRM's international harness covers policies, laws, science, public participation and technical supports, which shall be jointly developed with technical research.
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    COLLABORATION AMONG KNOWLEDGE SHARING, GREEN INNOVATION AND INFRASTRUCTURES SUSTAINABLE DEVELOPMENT
    XUE Song, ZHAO Jingjing, YANG Tao
    Resources & Industries    2023, 25 (1): 109-121.   DOI: 10.13776/j.cnki.resourcesindustries.20220526.001
    Abstract237)      PDF(pc) (1255KB)(235)       Save
    Knowledge sharing and green innovation are two key factors in shaping industrial sustainable competitiveness, and play a vital role in infrastructures’ transformation to sustainability. This paper, aiming at their collaboration among knowledge sharing, green innovation and infrastructures sustainable development, uses the relation structure in the measurement table to establish an interactively simulated model, which is verified and corrected by confirmed data from questionnaire. Knowledge sharing channel, behavior and environment promote the sustainable development of infrastructures, most contributed by knowledge sharing behavior. Green technical innovation and green system innovation play a positive role on the sustainable development of infrastructures, of which green technical innovation plays the bigger part. Three approaches, green technical innovation to knowledge sharing channel, green system innovation to knowledge sharing environment, green technical innovation/green system innovation to knowledge sharing behavior, play a mediating role in promoting the sustainable development of infrastructures. Green innovation may further boost the indirect impact of knowledge sharing on the sustainable development of infrastructures, but less from its direct impact. This paper presents suggestions on encouraging knowledge sharing behavior, setting up knowledge sharing system, constructing knowledge sharing environment for a sustainable development. Green collaborative innovation promotes the infrastructures. This paper provides theoretical references for a quality sustainable development of infrastructures.
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    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
    Abstract234)      PDF(pc) (4668KB)(389)       Save
    Regional coordinated development has become an internal need to establish a high-quality land spatial planning and to resolve imbalanced issues with urban clusters as the core economic circle. To realize regional integration of Cheng-Yu dual city economic circle and multiple-hierarchy coordinated development, this paper combines the four circulating productive resources, population flow, information flow, technical flow and economic flow, with urban spatial structure, and applies social network analysis method to analyze the spatial network structure of Cheng-Yu dual city economic circle from points, lines and planes. Inside the circle, Chengdu and Chongqing are two dual cores. Regional interaction shows a better internal urban centrality. Core cities' do not exert their radiation role on their vicinity. High asymmetry exists inside the city linkage of economic circle, with the exception of Cheng-Yu axis having a symmetrical linkage, leaving urban connection to be improved. Outskirt cities of economic circle have a weak connection with outside. There is locally clustering with variable connection within the region. The global city clustering pattern has not yet formed, with no enough trans-provincial or transregional connection. West of Cheng-Yu dual city economic circle is along Chengdu as the major developing center. In order to construct an integrated Cheng-Yu dual city economic circle and a multiple-hierarchy coordinated development pattern, this paper presents suggestions on setting up a shared transregional cooperation, intensifying the central developing drives, increasing the absorbing resources capacity of outskirt cities, focusing on the transportation construction and information integration inside the circle, boosting the leading roles of core cities, and promoting technical exchanges and economic integration among cities.
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    IMPACTS OF 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
    Abstract226)      PDF(pc) (1097KB)(498)       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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    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
    Abstract216)      PDF(pc) (1258KB)(1729)       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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    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
    Abstract205)      PDF(pc) (1215KB)(2458)       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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    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
    Abstract205)      PDF(pc) (3975KB)(451)       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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    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
    Abstract202)      PDF(pc) (4591KB)(2299)       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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    IMPACTS OF ENVIRONMENTAL REGULATIONS ON SOUTHWESTERN INDUSTRIAL STRUCTURAL OPTIMIZATION
    LI Jinjing, LI Jun, CHEN Changyao, et al
    Resources & Industries    2022, 24 (4): 124-132.   DOI: 10.13776/j.cnki.resourcesindustries.20220520.001
    Abstract202)      PDF(pc) (1156KB)(280)       Save
    This paper uses theory and cases to clarify the relationship between southwestern industrial structural optimization and environmental regulations, aiming at providing reference for efficiently using resources during the new era. Evaluation index system of environmental regulations is used to estimate the environmental regulation intensity in Sichuan, Chongqing, Guizhou and Yunnan based on their 2005 to 2019 panel data, with panel fixed effect model to analyze the factors of southwestern industrial structural optimization and impacting paths of environmental regulations, which is tested through threshold model. Substituted variables method is used to detect the robustness of the results. Environmental regulations intensity in southwest is in increasing trend. Industrial structure is optimized by economic growth and international trade, but negatively impacted by foreign direct investment, and little by technical innovation. Impacts of environmental regulations on industrial structural optimization display a “U-shaped” relation, a little from technical advances, international trade and foreign direct investment. Southwestern environmental regulations intensity is appropriately to be set at 0.67-1.56. This paper puts forward suggestions on increasing investment on environmental protection, determining rational environmental regulations intensity, establishing performance evaluation administration to keep abreast of the effects of environmental regulations.
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    IMPACTS OF ENVIRONMENTAL INFORMATION DISCLOSURE ON RESOURCE COMPANIES' INNOVATION VIEWING FROM EXTERNAL PRESSURE
    NIE Zhiping, WANG Yiwen
    Resources & Industries    2023, 25 (1): 79-96.   DOI: 10.13776/j.cnki.resourcesindustries.20220816.001
    Abstract202)      PDF(pc) (1155KB)(135)       Save
    Study of either retroaction effect or crowding out effect between environmental information disclosure and companies’ innovation is key to reaching a win-win between environmental protection and economic development. This paper uses legality, reputation, signal transmission and stakeholder theories to study the impacts of environmental information disclosure on resource companies’ innovation. Results show environmental information disclosure can notably increases resource companies’ innovative level, hard disclosure works more compared with soft disclosure. Negative media supervision will offset companies’ reputation and financing advantage brought from environmental information disclosure to some extent, then constraining resource companies’ innovative capacity, but other media will not promote their innovative levels upon environmental information disclosure. Governmental supervision and analysts’ attention will not positively adjust the relation between environmental information disclosure and innovative level of resource companies, but analyst’s attention will work if resource companies discloses hard environmental information, which is a good practice for green innovative transformation. Governments need to further optimize environmental information disclosure system in a unified standard, and to fulfill media supervision and analysts’ social supervision.
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    SUSTAINABLE DEVELOPMENT LEVEL AND SPATIAL PATTERN OF RURAL LIVING ENVIRONMENT IN YANGTZE RIVER ECONOMIC ZONE
    ZHANG Yunning, ZHU Hongyan, OUYANG Hongxiang, et al
    Resources & Industries    2022, 24 (4): 42-54.   DOI: 10.13776/j.cnki.resourcesindustries.20220331.001
    Abstract198)      PDF(pc) (3768KB)(358)       Save
    Improving rural living environment and realizing its sustainable development is a key task for China's new rural construction, vital for implementation of a rural revitalization strategy.This paper, based on sustainable development theory of rural living environment, uses factor breakdown structure and subjective/objective weighing to establish an evaluation index system for sustainable development of rural living environment from the perspective of natural and social resources, and applies development level (sustainable development potential), coordination index (sustainable development trend) to set up a measurement model, which is employed to comprehensively evaluate their sustainable development level and spatial pattern of 11 provinces' rural living environment in Yangtze River Economic Zone with an attempt to improve the sustainable development level of rural living environment and to increase regional balanced development. ArcGIS is used to classify development level into four categories, high, relatively high, relatively low and low, and development coordination degree into three, high, moderate and low. Clustering features are analyzed at overall and local levels from auto-correlation perspective with causes explained from resource allocation and development. Results show a regional imbalance, with sustainable development level of rural living environment, high in the east and low in the west, and development coordination, high in the central and low in the west. Sustainable development level of rural living environment is of outstanding global and local clustering/dispersing features with eco-environment and economy systems of strongest spatial clustering, and social culture system of strongest dispersing. High-level hot spots of sustainable development are concentrating on Yangtze River Delta and low-level cold spots on Yunnan and Guizhou. This paper presents suggestions on orderly conducting economic activities, enhancing environmental and cultural construction, overall planning regional development in order to optimize rural living environment.
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    COUPLING COORDINATION BETWEEN INDUSTRIAL GREEN LOW-CARBON TRANSFORMATION AND QUALITY ECONOMIC DEVELOPMENT IN YELLOW RIVER STREAM
    TIAN Ze, XIAO Lingying, LIANG Wei, et al
    Resources & Industries    2023, 25 (1): 14-26.   DOI: 10.13776/j.cnki.resourcesindustries.20220630.001
    Abstract195)      PDF(pc) (1406KB)(124)       Save
    Yellow River stream is entering a period of ecological protection and quality development. Study on the coupling coordination between its industrial green low-carbon transformation and quality economic development is of significance in reaching the goals. This paper applies temporal-spatial range entropy weights to estimate Yellow River stream’s 2009 to 2019 industrial green low-carbon transformation and quality economic development levels, and uses calibrated coupling coordination model to measure their coordination, and employs Dagum Gini coefficient and decomposition to study the regional variance between industrial green low-carbon transformation and quality economic development with Kernel density estimation dispatched to study its dynamics. Its industrial green low-carbon transformation level is at 0.449, and quality economic development level at 0.490, with annual growth rate at 5.84% and 7.1%, respectively, overall in a upgrading trend, but industrial green low-carbon transformation is notably behind its quality economic development. Their coordination level is low at 0.55, with annual growth rate at 3.2%, 0.629 in 2019, a turning point from off coordinated to preliminarily coordinated. The both are not at the same pace in coordination with coupling coordination showing a spatial distribution of “high-in-lower stream, middle-in-middle stream and low-in-upper stream”, 0.59, 0.561 and 0.529, respectively. Their overall spatial variance is diminishing, primarily contributed by their regional variance with a contributing value at 46.97%, secondarily by the internal variance with a contributing value at 33.54%. This paper presents suggestions on constructing regional green low-carbon industrial system, exploring differentiated policies and boosting trans-stream cooperation.
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    DYNAMIC EVOLUTION OF HYDROGEN-FUEL CELL VEHICLE (HFCV) INDUSTRY BASED ON ALLOWANCE POLICIES IN JIANGSU PROVINCE
    ZHAO Zhendong, LIU Guoqing, XIN Jianghui, et al
    Resources & Industries    2023, 25 (1): 27-39.   DOI: 10.13776/j.cnki.resourcesindustries.20220802.001
    Abstract194)      PDF(pc) (2657KB)(267)       Save

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

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    RISK ASSESSMENT OF MINERAL RESOURCES INVESTMENT IN “THE BELT AND ROAD” NATIONS UNDER ANTI-GLOBALIZATION
    SUN Minghao, LIAO Qiumin
    Resources & Industries    2022, 24 (3): 169-180.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.001
    Abstract189)      PDF(pc) (1131KB)(379)       Save
    Cooperation with “the Belt and Road” nation in developing their mineral resources can compensate China's mineral supply, but uncertainty exists with potential risks under the current anti-globalization. This paper, aiming at assess the risks, establishes a risk assessment index system of overseas mineral resources investment in “the Belt and Road” nations from political risks, economic risks, natural environmental risks, mining risks and anti-globalization risks. Indictor weights are given via entropy, and Topsis comprehensive assessment model is used to evaluate mineral resources investment risks in 18 “the Belt and Road” nations which have abundant mineral resources during 2009 to 2020, with risks classified in “the Belt and Road” nations during 2021 to 2025 according to GM(1, 1) model. The results show: 1) Mining investment risks are mainly derived from resources mining and natural environment, but anti-globalization risk can not be ignored; 2) Nations with medium to low risks develop to a low risk status, and those with high to medium risks develop to medium risk status. Generally nations' risks in “the Belt and Road” are decreasing as “the Belt and Road” initiative advances; 3) Among 18 nations in “the Belt and Road” in 2021 to 2025, investment risk is low in Uzbekistan, Vietnam, Russia, Thailand, Laos and Cambodia, medium in Turkey, India, Argentina, Ukraine, Mongolia and Indonesia, and high in Tajikistan, Kazakhstan, Malaysia, Philippines, Kyrgyzstan and Poland.
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    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)(447)       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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    COORDINATED DEVELOPMENT EMPIRICAL STUDY ON HUMAN CAPITAL, RESOURCES AGGLOMERATION AND INDUSTRIAL STRUCTURE
    WANG Fangqin
    Resources & Industries    2022, 24 (4): 113-123.   DOI: 10.13776/j.cnki.resourcesindustries.20220523.001
    Abstract186)      PDF(pc) (1156KB)(172)       Save
    This paper uses Taylor index and the third industry proportion to depict China's industrial structural rationalization degree and advanced level, applies fixed effect model to reveal the impacts of heterogenous human capital, resource agglomeration and the both coupling on industrial structural advancing, and analyzes the causes of regional variance with an attempt to provide references to optimize and upgrade industrial structure. Advanced human capital is the core factor with a contribution rate of 15.31% to industrial advancing. Manufacturing and productive servicing resource agglomeration has an impacton industrial structural rationalization with a contribution rate of up to 46.93% and 28.99%. Junior and moderate human capitals are media variables for industrial advancing. Advanced human capital promotes industrial structural rationalization in central China with an impacting power 72.99%, and moderate human capital promotes industrial structural advancing in the west with an impacting power 75.77%. Manufacturing resource agglomeration contributes to industrial structural advancing in central China at 90.73%, and to the industrial structural rationalization in the west at 80.59%. Productive servicing resource agglomeration promotes industrial structural advancing in the east and industrial structural rationalization in central China with an impacting power of 89% and 82.68% respectively. The eastern China shall use advanced human capital to develop productive servicing, and their interaction to optimize industrial structure. The central and western China shall use moderate-advanced human capital and manufacturing agglomeration supply key drives to optimize industrial structure based on a balanced match of manufacturing and human capital.
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    RESOURCE UTILIZATION SITUATION OF PHOSPHOGYPSUM BASED ON MATERIAL FLOW METHOD

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    HOU Huimin, GUO Dongfang, SU Lijuan, XU He, et al
    Resources & Industries    2022, 24 (6): 23-30.   DOI: 10.13776/j.cnki.resourcesindustries.20221025.001
    Abstract185)      PDF(pc) (2431KB)(103)       Save
    As an agricultural giant, China’s surging needs of phosphorous fertilizer to guarantee its crop security leads to mass of the industrial solid waste phosphogypsum during production of phosphorous acid and fertilizer, which harms the environment if dumping in the long term. China began to vigorously promote the resource utilization of phosphogypsum in 2018, and formulated and issued a number of encouraging policies. However, the comprehensive utilization rate of phosphogypsum is still low up to now, and the resource utilization market still needs to be continuously constructed and improved. In this paper, based on the problem of unclear production quantity of phosphogypsum in China, the product/waste coefficient method was used to estimate the output of phosphogypsum in China from 1957 to 2019 based on the output of phosphogypsum in “China Industrial Statistical Yearbook”, after field investigation and analysis in Yunnan, Guizhou, Sichuan, Hubei, Anhui and other provinces, Guizhou province, which has a good comprehensive performance in the utilization of phosphogypsum resources, was selected as the key research object, the material flow analysis was carried out, and the material metabolism graph of phosphogypsum resource utilization was drawn. Temporally,  Guizhou has a rising resource utilization trend of phosphogypsum with a utilization ratio at 58.80% in 2018 to 107.37% in 2020, marking a start point for Guizhou uses the historically-dumping phosphogypsum solid waste. As for the resource utilization means, Guizhou consumes phosphogypsum up to 964.5kt, 360.4kt, 330.9kt and 234.8kt from underground backfilling, acid making and other chemical utilization, construction materials and cement retardant in the first quarter of 2021, with a comprehensive use rate up to 55.02%, still at the preliminary use stage of low added-values and small scale. This paper, based on site investigation, studies the material metabolism rule of phosphogypsum in the whole life cycle from production to resource utilization, and reveals the key issues in its raw materials, technology, products and policies, and from the perspective of government, enterprises, consumers and other stakeholders, targeted policy suggestions are put forward, hoping to provide scientific theoretical basis for the accurate management and resource utilization of phosphogypsum in China, also provides a scientific reference for controlling other mass solid wastes under the background of circular economy, zero-waste cities and carbon reduction.
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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
    Abstract175)      PDF(pc) (1323KB)(1575)       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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    ENVIRONMENTAL REGULATION, GREEN INNOVATION AND INDUSTRIAL STRUCTURE UPGRADING: SPATIAL DUBIN MODEL ANALYSIS BASED ON PROVINCIAL PANEL DATA

    WEI Qingming, ZHAO Xinxin, FENG Xin, ZHANG Miaomiao
    Resources & Industries    2022, 24 (6): 54-63.   DOI: 10.13776/j.cnki.resourcesindustries.20221101.001
    Abstract174)      PDF(pc) (1208KB)(278)       Save

    China is focusing on green economic transformation and industrial structure upgrading, how to pay attention to the relationship among environmental regulation, green innovation and industrial structure, in order to obtain the triple bonus of environmental protection, green technological innovation and industrial structure upgrading, has become one of the important issues in Chinese academic circle nowadays. This paper, based on 2003 to 2019 provincial panel data of China’s 30 provinces, autonomous regions and municipalities, uses spatial Dubin model to compare the impacts of environmental regulation and green innovation on industrial structure upgrading under three weight matrixes, and to measure the direct, indirect and gross effects of the main explanatory variables, and empirically tests whether environmental regulation and green innovation promote industrial structure upgrading in eastern, central and western regions of China. Generally, environmental regulation and green innovation promote rationalization and upgrading of industrial structure under three spatial weight matrixes, increase by 1% of environmental regulation intensity at geographical distance matrix will lead to an increase by 0 065% in upgrading of industrial structure. The influence of green innovation on the upgrading of industrial structure is most significant in the geographical distance matrix, with the influence coefficient reaching 0 066. Viewing from overflowing effect, upgrading of industrial structure can be directly contributed by environmental regulation at geographic distance matrix, and indirectly by green innovation through spatial overflowing effect. In regional heterogeneity, environmental regulation promotes the upgrading of industrial structure most in the western, but little in the central and eastern, green innovation plays a positive role in a developing trend of in western more than central and in central more than eastern. It concludes China shall strive to improve green innovative abilities and urbanization, and promote industrial transformation of high pollution enterprises, increase environmental regulation intensity and make differentiated regional policies to prevent industrial transfer of pollution asylum effect, which is of significance in boosting China’s industrial structure upgrading and reaching a quality and green economic development.

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    COLOMBIA ‘S OIL-GAS FISCAL & TAX POLICIES ANALYSIS AND BENCHMARKING BASED ON MULTI-SCENARIO ECONOMIC EVALUATION
    WANG Bin
    Resources & Industries    2023, 25 (3): 42-52.   DOI: 10.13776j.cnki.resourcesindustries.20230427.003
    Abstract173)      PDF(pc) (1627KB)(85)       Save

    Oil-gas contracts and fiscal & tax polices,which are two core factors in investing overseas oil-gas, largely determine the gain distribution mode and proportion between investors and hosting governments. This paper studies Colombia ‘s oil-gas fiscal & tax policies aiming at providing reference for Chinese investors under new situation. After introducing the history and situation of Colombia ‘s oil-gas fiscal & tax contracts, this paper establishes an economic evaluation model based on the fiscal & tax terms of new and  old oil-gas contracts, which is used to economically evaluate oil-gas projects under multiple scenarios from oil price, production scales and API degree. Evaluation system is constructed, including 9 indicators on fiscal & tax economy and stability, to benchmark the top ten oil-gas resources countries in this area. Colombia ‘s new contract mode decreases the involvement and economic gain of hosting government and increases foreign investors ‘ operating freedom and economic gains. Multiple scenarios economic evaluation shows that the net cash flow per cubic meter under the high oil price is more than that of the low oil price. Heavy oil assets with lower API degree have tax incentives, and the tax cost per cubic meter increases under the high production scale. Colombia ‘s oil-gas fiscal & tax attractiveness benchmark shows that it ranks the fourth among South America ‘s top 10 oil-gas countries. Colombia ‘s oil-gas resources and fiscal & tax policies are of relative advantages in this area, of prospecting outlook in future oil-gas cooperation.This paper presents suggestion for Chinese investors on paying more attention to investing oil-gas industry in Colombia, focusing on the impact of assets type on economic benefits, and risks brought by policy adjustment.

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    SPATIAL CONVERGENCE AND DIFFERENTIATED CHARACTERISTICS OF CHINA'S PROVINCIAL RURAL INDUSTRIAL INTEGRATION LEVEL
    ZHAO Min, CHU Peipei
    Resources & Industries    2023, 25 (1): 51-66.   DOI: 10.13776/j.cnki.resourcesindustries.20220915.001
    Abstract170)      PDF(pc) (1509KB)(156)       Save
    Rural industrial integration is a fundamental approach to agricultural industrial bloom, and also a key solution to rural, agricultural and farmers’ issues. Increasing rural industrial integration level is a critical means to agricultural economy. This paper uses entropy weights to estimate 31 Chinese provinces’ 2008 to 2020 rural industrial integration level, and analyzes the spatial convergence and differentiated characteristic based on spatial conditionalβconvergence model. Results show that rural industrial integration level is low, only 40% of the target. Regionally, horizontal rising rate displays a deceasing tend from east, west and to central. Provincewide variance is less than cross-provincial. China’s rural industrial integration level is outstandingly of spatially conditionalβconvergence, with its convergence period shortened by 6 years. Rural industrial integration level is mostly contributed by financing agriculture, agricultural technical advances and farmers’ rising consumption level, but its convergence is slightly constrained by human capital. Spatially, rural industrial integration level in three areas is of notable “club convergence”, higher that the national average, also with a stronger spatial positive overflowing effect. Temporally, convergence rate in 2016 to 2020 is higher than 2008 to 2015, in which economic development and human capital work variably in direction and extent. This paper presents suggestions on optimizing top design, and modernizing agricultural industries, boosting financing agriculture, agricultural technical advances and farmers’ consumption level, improving imbalanced agricultural industrial integration, paying attention on talents, fulfilling the positive promotion of human capital on rural industrial integration level and high value convergence, and establishing a concept of wholly national rural industrial integration system and realizing a balanced development of nationwide rural industrial integration.
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    DRIVES FOR JIANGSU'S WATER FOOTPRINT EFFICIENCY CHANGES BASED ON LMDI-ATTRIBUTION
    JIANG Xiangcheng, WANG Rui
    Resources & Industries    2022, 24 (4): 30-41.   DOI: 10.13776/j.cnki.resourcesindustries.20220410.001
    Abstract170)      PDF(pc) (3015KB)(361)       Save
    Jiangsu province has the most total and per capita water footprint in the Yangtze River Economic Zone, and a severe water shortage which constraints Jiangsu's economy. This paper, from the perspective of water footprint and focusing on Jiangsu's water footprint efficiency changes, analyzes their drives and provides suggestions for sustainable development of Jiangsu's water resources. Jiangsu's water footprint results from 2010 to 2019 and extended Kaya formula are used to calculate the actual water use efficiency, water resource use technical level and water footprint. LDMI-attribution model is employed to estimate the drives with contribution of three water use sectors obtained. During the study period, Jiangsu shows a noted increase in water footprint efficiency, from 32.78 RMB/m3 in 2010 to 88.91 RMB/m3 in 2019,increasing by 171.25%, mostly driven by actual water use efficiency with a contribution 167%, followed by technical level with a contribution 26.15%. Water footprint proportion in agricultural use has relatively risen, and the water footprint structure contributes -21.67% to the change. Key drives come from actual uses in industrial and living sectors, 91.19% and 75.07% respectively, with only 0.73% from agricultural sector. In technical drives, most are contributed by living sector at 21.40%, followed by industrial sector at 4.79% and then by agricultural sector at -0.04%. In water footprint structural drives, only agricultural sector is positive at 0.06%, then living sector at -2.13% and industrial sector at -19.60%. This paper presents suggestions on constructing water-saving agricultural system to increase agricultural water use efficiency and to decrease agricultural water footprint proportion, keeping a downgrade of gray water footprint, limiting high pollution investments, supporting green development, stimulating province-wide consumption, optimizing foreign trading structure and increasing sustainable development capacity of water resources.
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    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
    Abstract169)      PDF(pc) (1358KB)(1881)       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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    DYNAMIC SIMULATION OF CHANGCHUN‘’S ECONOMY-SOCIETY-LAND-USE SYSTEM BASED ON SD MODEL
    GAO Xinyu, DONG Huihe, GAO Lunian, et al
    Resources & Industries    2022, 24 (4): 90-102.   DOI: 10.13776/j.cnki.resourcesindustries.20210918.001
    Abstract166)      PDF(pc) (6059KB)(217)       Save
    This paper used system dynamics model to draw causal loop diagram and establish flow stock model, with economy, population, housing, environment, public administration as urban land use factors, and tests their simulated results from 2004 to 2018, and simulates the urban system from 2018 to 2033. Results show a discordant population-land relation will continue to exist in Changchun. Constructed area per capita increases by 47.9% from 2019 to 2033 in Changchun,and total population will be up to 4.483 92 million in Changchun downtown in 2033. Population migration is sensitive to educational resources, rather than gross value of industrial output and medical resource inputs. In Changchun city's land use structure, housing land proportion will be enlarged to 32.88%; industrial land proportion will be diminished to 18.33%; urban transportation land proportion will be first increased and then decreased, and park green land proportion will be stably at 4.33% in 2033. Under scenarios of increasing educational expenses and increasing industrial growth rate, construction area per capita decreases by 5.47% and 3.97%, which mitigates the population-land conflict. Under scenarios of increasing industrial population proportion and increasing housing growth rate, construction area per capita increases by 3.96% and 0.84%, which will not change the situation of population urbanization speed less than land urbanization speed. This paper presents suggestions on improving public administrative services, decreasing housing costs, and stabilizing urban population and attracting talents to realize a balance among urban economy, society and land use.
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    PVAR STUDY ON DYNAMIC RELATION AMONG R & D INPUTS, INNOVATIVE PERFORMANCE AND ECONOMIC GROWTH BASED ON SHANDONG'S 16 PREFECTURES' PANEL DATA
    CHENG Ming, YAN Feng, DU Tingxia, et al
    Resources & Industries    2023, 25 (1): 97-108.   DOI: 10.13776/j.cnki.resourcesindustries.20220829.001
    Abstract166)      PDF(pc) (1821KB)(172)       Save

    As economic globalization develops, R&D plays a key role in increasing innovative capacities and booting economic structural optimization. Study on dynamic relation among R&D inputs, innovative performance and economic growth can give us a deep understanding on regional innovative transformation, and provide references on innovative drives changes. This paper uses Shandong’s 2012 to 2020 16 prefectures’ panel data to establish PVAR model, and applies pulse response function and deviation to their interaction among R&D inputs, innovative performance and economic growth, and their variance in Shandong’s three economic zones. R&D inputs show one stage lagging behind economic growth, but faster in capital and Jiandong economic zones with their contributing rates up to 40.1% and 39.8%, respectively. Economic growth plays an adverse role against innovative performance, more in Jiaodong economic zone. Innovative performance promotes economic growth, with a contributing rate up to 85.9% in southern Shandong economic zone. R&D inputs have a low contributing rate to innovative performance, lagging 1 to stages in Jiaodong economic zone. Innovative performance promotes R&D inputs in a lagging 1 stage, but faster in capital and Jiaodong economic zones, with a contributing rate up to 80.4% in southern Shandong economic zone. The results generally show an interactive promotion among economic growth, R&D inputs and innovative performance. In capital economic zone, economic growth and R&D inputs have promoting roles on innovative performance, with a low conversion capacity from economic growth and R&D inputs to innovative performance. In Jiaodong economic zone, an outstanding promoting role exists both between economic growth and R&D inputs, and between R&D inputs and innovative performance, but low in the conversion rate between innovative outputs and economic growth. In southern Shandong economic zone, economic growth and R&D inputs have promotion on innovative performance, but insufficient beneficial interaction among the three.

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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
    Abstract164)      PDF(pc) (1260KB)(1316)       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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