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    GREEN FINANCE, INSTITUTIONAL ENVIRONMENT AND DUAL GREEN INNOVATION

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

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

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    EVOLUTIONARY MECHANISM OF SUPPLY-DEMAND DEPENDENCE NETWORK OF CHINA ‘S NEW ENERGY VEHICLE INDUSTRY
    LI Yang, LI Huajiao, FENG Sida
    Resources & Industries    2023, 25 (3): 69-81.   DOI: 10.13776j.cnki.resourcesindustries.20230427.002
    Abstract197)      PDF(pc) (4591KB)(1704)       Save

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

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    SOCIAL RESPONSIBILITIES, EXECUTIVE INCENTIVES AND GREEN TECHNICAL INNOVATION OF HEAVY POLLUTION INDUSTRIES
    GAO Zhixin, XU Jixiao
    Resources & Industries    2023, 25 (2): 88-100.   DOI: 10.13776/j.cnki.resourcesindustries.20230309.004
    Abstract192)      PDF(pc) (1215KB)(1718)       Save

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

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    EVALUATION AND APPLICATION OF LAKE ENVIRONMENTAL GOVERNANCE PERFORMANCE BASED ON PSR MODEL
    DU Xiaorong, LIU Yuanhang
    Resources & Industries    2022, 24 (3): 146-158.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.004
    Abstract105)      PDF(pc) (2193KB)(1819)       Save
    Since “Guidelines for Implementing Lake Chief System” was issued on 1/4/2018, this policy has not been well implemented, and neither the lake environment well governed. This paper, aiming at quantitatively evaluating lake environment governance performance, uses pressure-state-response (PSR) model to establish an index system to evaluate the lake environmental governance performance from environment, economy and society, and applies analytic hierarchy process to determine the weights of indicators, and combines with fuzzy comprehensive evaluation to evaluate Gaoyou lake's environmental governance performance, Tianchang city, Anhui province. The results show its performance has a total score at 0.529 8, at a “alarming” status, and its pollution emission, eutrophication and water quality control in tier 2 indicators have scores at 0.3, such a poor level indicating the three are the root causes. In tier 3 indicators, solid waste discharge intensity, water-soil erosion rate, population density, population urbanization level, comprehensive nutrition index, solid waste processing rate, key potable water sources quality qualification are below 0.5, suggesting a poor handling of solid wastes which leads to a larger water-soil erosion, a eutrophicating state and a unqualified water quality. This paper presents suggestions on controlling pollution at the source and water-soil erosion, focusing on eutrophication, setting up information controlling platform, promoting a coordinated development of population and environment, boosting a combination of lake performance results with responsibilities, and establishing a unified Gaoyou lake chiefs system to improve lake environmental governance performance.
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    TEMPORAL-SPATIAL EFFECTS OF DIGITAL ECONOMY ON HIGH-QUALITY ECONOMIC DEVELOPMENT BASED ON GTWR MODEL

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

    HUANG Ziqi, LIU Qingquan
    Resources & Industries    2023, 25 (2): 23-36.   DOI: 10.13776/j.cnki.resourcesindustries.20230313.002
    Abstract117)      PDF(pc) (1270KB)(970)       Save
    As China’s industrialization advances, industrial co-conglomeration is becoming a developing trend. Green innovation powers green development, and shapes tax competition pattern. Industrial coordinated development is key to reach innovation and green low-carbon transformation. This paper, aiming at exploring the inner mechanism between industrial co-conglomeration & tax competition and green technical innovation, uses locality entropy and super-efficiency SBM model to estimate 2010 to 2019 industrial co-conglomeration and green technical innovative efficiency in Yangtze River economic zone, and establishes a spatial Dubin model and mediating model to study the spatial effect and impacting mechanism of industrial co-conglomeration on green technical innovation based on tax competition. Yangtze River economic zone has a big room to improve in green technical innovation with regional heterogeneity, which is also of positively spatial correlation, at a rising trend while fluctuating. Industrial co-conglomeration promotes green technical innovation, with a larger positive spatial overflow over its surrounding areas than local. Mediation verification indicates that industrial co-conglomeration can decrease tax competition and promote green technical innovation. This paper presents suggestions on constructing industrial co-conglomeration to lead green innovative development in high co-conglomerating area, and on using policies, developing productive servicing and upgrading/transforming manufacturing. Local governmental tax competition shall be regulated to form a new pattern of competition for innovation.
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    NON-LINEAR EFFECTS OF GREEN FINANCIAL DEVELOPMENT ON CARBON EMISSION FROM PERSPECTIVE OF FINANCIAL ECO-ENVIRONMENT

    PAN Haiying, ZHANG Chen, YAN Xiang
    Resources & Industries    2023, 25 (6): 15-30.   DOI: 10.13776/j.cnki.resourcesindustries.20230726.002
    Abstract173)      PDF(pc) (1323KB)(909)       Save
    In order to study if a good financial eco-environment as green financial function in carbon emission reduction, this paper uses financial eco-environment and China ‘s 2008 to 2020 provincial panel data to establish a panel threshold model to test its non-linear effect of green financial development on carbon emission. Results show that green financial development can largely depress carbon emission if no externally environmental constraints, bearing phasing features. At its rapid developing stage, green finance plays a better role. Limited by financial eco-environment, dual threshold effect exists in its impacts, it can not fulfill its functions in depressing carbon emission if under the first threshold value, but increasing if above the two threshold values. As economy, finance and governance levels are over the threshold values, green finance development displays a marginal rising role in depressing carbon emission. An abnormal “central collapsing” happens in carbon emission reduction of green financial development at regime and credit cultures. Geographically, financial eco-environment has a sole threshold effect between green financial development and carbon emission in the eastern and central-western. The eastern has an increasing function while the central-western only starts to emerge as financial eco-environmental level over the threshold values. This paper presents theoretical references for fulfilling carbon emission reduction of green finance from financial eco-environmental construction and for reaching dual carbon goal.
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    AGRICULTURAL CARBON EMISSION EFFICIENCY AND INFLUENCING FACTORS OF SHAANXI CITIES
    FENG Fei, FENG Jiani
    Resources & Industries    2023, 25 (3): 10-18.   DOI: 10.13776j.cnki.resourcesindustries.20230426.004
    Abstract160)      PDF(pc) (1260KB)(932)       Save
    Agriculture is the second major source of greenhouse gas emission, also one of key carbon emissions. How to develop agriculture while protecting ecological environment is related to realizing high-quality agricultural development.This paper uses Shaanxi ‘s 10 prefectures ‘ panel data from 2005 to 2020, combined with super-efficiency SBM model and ML index model, to estimate their agricultural carbon emission efficiencies, and employs Tobit model to study the major influencing factors.Static agricultural carbon emission efficiency estimated by super-efficiency SBM model is rising and at a high level in Xi ‘an. It is above 1 and also at a high level in Shangluo, but consistently below 1 with no improvement in Tongchuan, Weinan and Yulin, fluctuating in other cities. Dynamic agricultural carbon emission efficiencies from ML index have improved mainly due to technical advances, which has not greatly contributed to their increase. Factors influencing agricultural carbon emission efficiency in Shaanxi ‘s cities based on Tobit model suggest a notable positive relation between agricultural economy and carbon emission efficiency, indicating the more advanced economy, the higher carbon emission efficiency.Production structure and farmland scale have an outstanding negative relation with agricultural carbon emission efficiency, implying that a lower rationalization degree of agricultural production structure, or a larger farmland scale, is not favorable for increasing agricultural carbon emission efficiency.Urbanization level and hazarded crops are generally negatively related to agricultural carbon emission efficiency.This paper presents suggestions for Shaanxi province on increasing agricultural technologies, promoting industrial structural rationalization, raising urbanization level, decreasing crop hazarded degree, and boosting a high-quality agricultural development.
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    RELATION AMONG ENVIRONMENTAL PROTECTION TAX, TECHNICAL INNOVATION AND MANUFACTURING PERFORMANCE UNDER MODERATED MEDIATION
    ZHANG Qian, MEI Yali, WANG Kui
    Resources & Industries    2023, 25 (3): 107-120.   DOI: 10.13776j.cnki.resourcesindustries.20230426.002
    Abstract214)      PDF(pc) (1258KB)(1039)       Save
    Technical innovation has become an important approach to economic development and eco-environmental carrying capacity to meet grim environmental challenges. Environmental protection tax is key to green economic transformation, and provides opportunities for manufacturing industry in green harness and promoting performance.This paper, based on Porter hypothesis and China ‘s listed manufacturing companies' data from 2009 to 2020, establishes a regression model adjusted by stock option and executive package incentives,with technical innovation as mediation, which is used to verify the effects of environmental protection tax on manufacturing performance and technical innovation. Results show that environmental protection tax is notably positive with manufacturing performance at 1% level, suggesting the tax improves performance. Environmental protection tax pushes technical innovation to increase performance level. Technical innovation partially plays a mediation between its environmental protection tax and manufacturing performance, and stock option and executives package incentives play a negative mediation: the higher stock option and executive package incentives, the lower the manufacturing performance from environmental protection tax on technical innovation. Imposing environmental protection tax has initially gained achievements, providing references to further reform environmental protection tax and improve manufacturing performance level. This paper presents suggestions for governments on continuously optimizing environmental protection tax, providing policy and regime guarantee in boosting environmental protection and promoting manufacturing industry's green transformation and upgrade, and for manufacturing industry on fulfilling technical innovation, conducting green harness to reach a quality development.
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    BENCHMARKING-ORIENTED URBAN GREENHOUSE GAS ACCOUNTING METHODOLOGY FRAMEWORK IN CHINA
    GAO Yuan, LIU Gengyuan, CHEN Caocao, et al
    Resources & Industries    2022, 24 (3): 1-20.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.014
    Abstract256)      PDF(pc) (2062KB)(1150)       Save
    As the largest source of anthropogenic greenhouse gas (GHG) emissions, cities are the basic unit and important space carrier to promote carbon emission reduction. In the face of increasingly severe climate challenges, on one hand, the degree of cooperation among cities is not enough, and most cities choose to conduct urban GHG emission accounting and formulate mitigation policies independently; on the other hand, there are still differences in accounting boundary, accounting content and double counting, types of GHG, and accounting methods among different urban GHG emission accounting guidelines, which increases the complexity of urban GHG emission accounting and is not conducive to the comparison of GHG emission accounting results among cities. The methodological framework for urban GHIG emission accounting is the basis for understanding and evaluating urban GHG emissions. In this paper, we reviewed the domestic and foreign urban GHG accounting standards, databases and cases, which covered the comparison and difference analysis of international urban GHG accounting standards, the application research of three different city-level GHG emission accounting perspectives (including accounting based on administrative division boundaries, cross-border infrastructure, and urban consumption respectively). The core of domestic urban and regional GHG accounting guidelines are clearly proposed to establish a framework of urban GHG emission accounting methods that are prioritized for domestic benchmarks. In the new framework, scopes 1-3 in the framework represents the urban GHG emissions from different perspectives, and reflects the urban GHG emissions to the maximum extent. The indispensability and comparability of Scope 1 emissions within administrative divisions are emphasized. Importantly, the accounting for Scope 2 and Scope 3 emissions is a specific supplement to the urban GHG emissions that are matched to fully meet the actual needs of the city. The framework solves some of the pain points. For example, the accounting boundary is within the boundary of China administrative divisions, covering 7 types of greenhouse gases, and scopes 1-3 are for different accounting emission subjects. In view of the emission sources not covered or disputed by the current urban GHG accounting guidelines, difficulty of data acquisition, uncertainty and so on, the author believes that these problems can be addressed by means of scientific and technological progress, and the impact on the urban GHG emission accounting is not major, but for the long-term development of the city, these pain points must be deeply considered and solved by the decision-making managers. It is necessary to incorporate them into the framework at first, and then gradually solve them. Benchmarking-oriented GHG accounting framework can help decision-making managers understand the flow of embodied GHG emissions between cities, determine appropriate emission reduction policies, and meanwhile consider and plan low-carbon transition paths, optimize urban management methods, and promote exchanges and cooperation between cities from the perspective of GHG emissions. Finally, this paper points out that the effective implementation of the framework requires the linkage of the whole society, multi-industry and cross-department, the overall government-enterprise-people-commerce cooperation, the close industry-university-research cooperation. 
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    CARBON EMISSION REDUCTION EFFECTS OF DIGITAL ECONOMIC DEVELOPMENT WITH ADJUSTMENT OF HETEROGENEOUS ENVIRONMENTAL REGULATION

    PAN Haiying, CHEN Ling, REN Jiajia
    Resources & Industries    2023, 25 (6): 1-14.   DOI: 10.13776/j.cnki.resourcesindustries.20230724.001
    Abstract164)      PDF(pc) (1358KB)(1382)       Save
    As global warming is accelerating, China presents “dual carbon” goal as an attempt to transform China ‘s economic development way, which may be powered by digital economy. This paper uses China ‘s 2011 to 2019 provincial panel data to establish a spatial counting model used to study the carbon emission reduction of digital economy and adjustment of heterogeneous environmental regulations. Digital economy strongly depresses carbon emission intensity under 3 types of spatial weight matrix, and casts a negative spatial overflowing due to its diffusion and radiation, constraining the carbon emission in the surrounding areas. Mandatory environmental regulations play an adverse role on its carbon emission reduction of digital economy, while market-stimulating and public-participating environmental regulations work positively. A panel threshold model is established based on digital economic development level and economic growth level as threshold variables to study the threshold effect of digital economy on carbon emission. Digital economy has a dual threshold effect based on its level and sole threshold effect based on economic growth on carbon emission intensity, and can effectively fulfill carbon reduction over threshold values. This paper puts forward suggestions on combining traditional industries with digital technologies to develop economy, applying flexible combined environmental regulations to lead a green development for industries, speeding up construction of green data center, increasing its operating efficiency, appropriately allocating digital economic resources to reach a quality economic development.
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    IMPACTS OF INFORMATION FRAMEWORK ON GREEN CONSUMPTION BEHAVIORS UNDER SUSTAINABLE DEVELOPMENT BASED ON MEDIATING EMPATHY
    HE Lishi, SHAN Xiaoyu
    Resources & Industries    2022, 24 (5): 124-134.   DOI: 10.13776/j.cnki.resourcesindustries.20221011.001
    Abstract155)      PDF(pc) (1199KB)(909)       Save
    Protecting ecological environment is a key step in guaranteeing sustainable use of natural resources. Orientation of residents’green consumption behavior contributes to mitigating China's natural resources pressure, to reducing environmental pollution and boosting urban sustainable development. This paper, based on Stimuli-Organism-Response (SOR) model, uses empathy as mediating variable, and natural anthropomorphism as moderating variable to construct a conceptual model regarding impacts of information framework (loss framework vs. gain framework) on green consumption behaviors with two experiments applied to discuss its internal mechanism. Compared with gain framework, loss framework can improve individual intention on green consumption behaviors more. Empathy plays a mediating role between information framework and green consumption behavior intention, at a mediating value at 0.319. Under the loss framework, individual has a higher empathy degree. The mediating of empathy on green consumption behaviors in information framework can be positively moderated by natural anthropomorphism, the higher natural anthropomorphism, the stronger mediating of empathy, and the stronger influences of loss framework (vs. gain framework) on individual empathy and green consumption behavior intention. This study as a supplement to the green consumption behavior system presents theoretical and practical references for governments and enterprises to conduct green sales and for individual green consumption behaviors. 
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    DEVONIAN SEDIMENTARY SYSTEM AND SHALE-GAS PROSPECTING ZONE OF NANPANJIANG BASIN 
    XIN Yunlu, WANG Jinzhu, JIN Chunshuang
    Resources & Industries    2018, 20 (3): 42-57.   DOI: 10.13776/j.cnki.resourcesindustries.20180615.004
    Abstract111)      PDF(pc) (7337KB)(1330)       Save
    Based on on-site cross sections, regional geology, publications, this paper discusses its sedimentary system types, features and distribution of Nanpanjiang basin, and forecasts the prospecting shale-gas zones on the basis of the distribution of deep water fine grained sedimentary facies. The Devonian in Nanpanjiang basin develops river delta, where holds eight sedimentary systems, continental debris offshore, continental debris inner shelf, continental debris outer shelf, restricted platform, open platform, platform margin, slope and deep sea. In the early Devonian, there is no sedimentation in most Nanpanjiang basin except the southern Qinfang area. The transgression northward forms a widely-spreading river delta, continental debris offshore sedimentary system. During the middle Devonian, the continental land diminishes with a decreased supply of continental source, river delta-debris offshore only distributes along the land margin as deep water sedimentation largely expands. Between them is widely-spreading constrained/open platform sedimentation, featured by carbonates. Entering the late Devonian, lands diminishes further, short of continental supply. River delta-debris offshore facies only distributes the margin of Yunkai continent, between them is also the carbonate-featured constrained/open platform sedimentation. According to the distribution and buried depth of deep water facies, Nandan, Ziyun, Fushui and Guangnan area are of shale gas potentials, also Yongfu-Luzhai-Pingle-Wuxuan area is worthy attention. 
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    MEASUREMENT AND TEMPORAL-SPATIAL PATTERN EVOLUTION OF CARBON SEQUESTRATION AND VALUES OF SHAANXI’S ECO-SYSTEM
    HUANG Xin, HAN Ling, MA Chaoqun
    Resources & Industries    2024, 26 (1): 141-153.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.001
    Abstract69)      PDF(pc) (6922KB)(715)       Save
    Functional carbon sequestration of eco-system is one of key ways to carbon neutralization. This paper, from perspective of land use, uses carbon sequestration rating to estimate the 2000 and 2020 carbon sequestration and values of Shaanxi’s county-level forest, grasslands and wetlands ecosystems, and applies spatial statistics to reveal its temporal-spatial evolution. During 2000 to 2020, their carbon sequestration has increased at different levels, of which forest increased the most as the biggest contributor to Shaanxi’s eco-system. Carbon sequestration of Shaanxi’s county-level forests and grasslands is of outstandingly spatial clustering, carbon sequestration hotspots of forests are concentrating in Qinling mountainous area, that of grasslands in northern Shaanxi’s Great Wall Windy & Sandy Area, cold spots are all concentrating in Guanzhong plain. Southern Shaanxi’s Qinba mountainous area has the most capability in carbon sequestration, while northern Shaanxi’s loess hilly valley has the biggest increment. All cities have increased their carbon sequestration except Xi’an, Yan’an and Yulin are the top two in growth. The top 5 cities in carbon sequestration values in Shaanxi’s eco-system are Hanzhong, Yan’an, Ankang, Baoji and Shangluo, amounting to 78.33% of the entire province.
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    INDUSTRIAL VIEWS ON HIDDEN CARBON EMISSION OF CHINA'S EXTERNAL TRADING
    WANG Baoqian, GE Yuxiang, CHEN Pan, 2019
    Resources & Industries    2019, 21 (4): 3-11.   DOI: 10.13776/j.cnki.resourcesindustries.20190605.009
    Abstract96)      PDF(pc) (9307KB)(1223)       Save
    Carbon estimation hidden in trading is a vital basis for adjusting import/export trading, improving resources use rate and realizing low carbon economy. This paper uses multiple regional input/output to establish a hidden carbon estimation model for bilateral trading from the perspective of industry. It is applied to estimate the net hidden carbon emission between China's bilateral trading with America, Germany, Japan, South Korea, Australia, Russia, India and Brazil by means of WIOD's data from 1997 to 2011, with results showing a net hidden carbon import in bilateral trading between China and America, Germany, Japan and South Korea, a coexisting net carbon import & export between China and Russia, India and Brazil. China generally uses a trading strategy of exchanging carbon emission reduction for trading surplus and exchanging trading deficit for carbon emission reduction. In order to reduce hidden carbon emission, this paper suggests China shall set up carbon emission trading market, consolidate high pollution industries, optimize import/export trading structure and promote imports of high carbon industries and exports of low carbon industries.
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    SITUATION OF WORLD SHALE GAS EXPLORATION AND DEVELOPMENT
    WU Xin*, REN Zhi-yong, WANG Yong, LIU Zhang-hai, LI Yang-bing, ZHAO Du-jing, QU
    Resources & Industries    2013, 15 (5): 61-67.  
    Abstract3314)      PDF(pc) (3198KB)(2207)       Save

    The success of the US in exploring and recovering shale gas largely stimulates most countrie's interest, such as Canada, Australia, UK, Poland, and China. This paper, based on shale gass definition and values, reviews the advances of the US's shale gas exploration and recovering, and discusses China's situation in shale gas, and presents, under a high dependence upon importing of oil gas, the approaches in learning the experiences and contacting, cooperating with foreign governments and enterprises and institutes, and in establishing a key technical system in shale gas exploration and recovering based on China's geology, and in giving supportive policies.

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    Cited: Baidu(13)
    ECOLOGICAL FOOTPRINT DYNAMIC MODELLING AND MEASUREMENT OF LOESS PLATEAU VALLEY BASED ON ARIMA MODEL: A CASE STUDY ON LANZHOU CITY
    YU Wenbao
    Resources & Industries    2024, 26 (1): 133-140.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.004
    Abstract56)      PDF(pc) (1307KB)(556)       Save

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

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    MEASUREMENT AND TEMPORAL-SPATIAL DIFFERENTIATION OF BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER’S QUALITY DEVELOPMENT
    KE Wenlan, LI Wenhui, YAN Jingjing
    Resources & Industries    2024, 26 (1): 1-14.   DOI: 10.13776/j.cnki.resourcesindustries.20240016.003
    Abstract125)      PDF(pc) (8058KB)(716)       Save
    China is entering a new era with its economy turning to quality development from rapid growth. JJJ, as a new capital economic zone, plays a key role in demonstrating city cluster’s quality development. This paper, aiming at JJJ’s coalition in developing strategy for a quality city cluster’s quality development, this paper, based on JJJ"s 13 perfectures’ 2011 to 2020 data, uses the contents of quality development to establish a comprehensive evaluation index system for JJJ city cluster’s quality development, and employs entropy-TOPSIS model to estimate JJJ city cluster’s 2011 to 2020 quality developing index, and applies coupling coordination model & spatial autocorrelation model to study its coupling coordinating level, temporal-spatial evolutionary trend and spatial concentrating effect.The coupling coordination of JJJ city cluster’s quality development shows a weak-then-strong trend, with major cities in coordination in 2011 to 2015 changing to developing cities, at a decreasing coupling coordination, but rising after 2015. The coupling has been steadily rising, 84% of JJJ’s cities are rising in their coupling, most with strong correlation among economy, eco-environment, innovation, and civilian welfare. Temporal-spatial pattern of coordination has not changed, Cangzhou, Tianjin, Tangshan and Qinhuangdao have always been at the tier 2 except Beijing seats atop. Spatial evolutionary pattern of quality development suggests Beijing, Tianjin and Langfang are in the core area of city cluster’s quality development, radiating outward to southeast, falling toward northeast. Economy, eco-environment innovation and civilian welfare are the same. JJJ’s city cluster’s quality development has a positive overall auto-correlation, cities of high quality development are geographically closer, with outstanding spatial heterogeneity, their capitals are mainly located in the promoting area, Cangzhou, Hengshui and Qinhuangdao in the transition zone, and Langfang in the radiation zone, negatively correlated. A key mission for JJJ’s city cluster’s quality development is to make up the regional developing gap. This paper presents suggestions on accelerating industrial transformation to diminish regional gap, intensifying environmental cooperation to promote green development, activating regional resources to drive innovation, and jointly constructing public services to share the dividends.
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    A CASE STUDY ON YANGTZE RIVER DELTA: INDUSTRIAL GREEN GDP ACCOUNTING AND DEVELOPING EFFICIENCY
    SUN Fuhua, CAI Binbin, SHEN Juqin
    Resources & Industries    2022, 24 (3): 32-42.   DOI: 10.13776/j.cnki.resourcesindustries.20220602.001
    Abstract137)      PDF(pc) (2851KB)(800)       Save
    Yangtze River delta industrial economy is thriving on water with water use issues, long constrained by water resource and water environment. Under a guideline of water resource management concept of “determining and measuring water, strengthening the rigid constrains of water resources”, paying attention to water resources conservation and water enviroment protection and promoting regional green development are the key to breaking through the bottleneck of industrial development. This paper, focusing on the double constraints of water resource and water environment on industrial economic green development, studies the industrial green GDP and its development efficiency changes and regional variance in Yangtze River delta under the double constraints. Based on Yangtze River Delta three provinces and one city's 2006-2019 data, this paper uses adjusted resource loss value to amount the industrial green GDP, which is used as output indicator, and applies super-efficiency SBM model to evaluate its industrial green development efficiency. The results show that the overall industrial green GDP proportion in Yangtze River delta has been rising over years, while a falling economic loss of consumption reduction and degradation, and an improving water resource wasting and pollution. Green development efficiency has been generally rising over years, with a diminishing variance with unconstrained development efficiency. Geographically, economic developing efficiency is at a higher level in Shanghai and Jiangsu, lower in Zhejiang and Anhui, indicating that industrial economy in Yangtze River delta has a less dependence on its water resource and environment, leaving a great room to improve. In order to decrease resource consumption and environmental costs and further to reduce the dependence of industrial economy on water resource and environment, and to improve industrial green developing efficiency, this paper presents suggestions on expediting resource utilization and environmentally technical innovation, reducing water consumption and wasting from source, decreasing industrial pollution to constrain a falling water quality, optimizing water resource pricing mechanism, balancing supply-demand, utilization efficiency, recycling rate, conducting differentiated pricings, and constructing a united water resource administration so as to diminish a regional variance. 
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    QUANTITATIVE EVALUATION OF CHINA‘S MANUFACTURING SERVITIZATION POLICIES BASED ON PMC INDEX
    LI Hui
    Resources & Industries    2023, 25 (4): 105-115.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.006
    Abstract77)      PDF(pc) (2963KB)(647)       Save
    Servitization policies for manufacturing is a strategy to ensure its high-quality development. Its quantitative evaluation can provide references for making, adjusting and optimizing related policies. This paper, based on China’s 13 servitization policies boosting manufacturing issued by all-level governments during 2014 to 2021, uses PMC index model and text mining to quantitatively evaluate the servitization policies for China‘s manufacturing. The results show that PMC indexes of 7 out of the 13 policies are classified at excellence, 6 at qualified, indicating an appropriate overall design of China’s servitization policies for manufacturing, still with room for improvement. Their coverages and diversities reveal that China‘s all level governments are fully aware of importance of boosting manufacturing servitization. During execution of servitization policies issued by central government, China‘s all level governments can closely follow nation’s policies and make localized servitization policies consistent with local economy. China’s existing servitization policies are most on guideline and encourage with lack of supervision, leading to issues such as weak servicing consciousness and narrow servicing domain during development of China‘s manufacturing servitization. PMC indexes of the 13 policies show that China has issued policies favorable for manufacturing servitization from administration, department guidelines and industrial regulations, but lack of legal supports, which needs to be incorporated into manufacturing servitization policies so as to better resolve operational issues. 
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    TRAFFIC SUPPORTS IN SITING NEW STEEL PRODUCTION LINES UNDER CHINA’S DUAL-CARBON GOALS: A CASE STUDY ON CHINA BAOWU IRON & STEEL GROUP

    ZHANG Qi, CUI Yu, WANG Qiuping
    Resources & Industries    2023, 25 (5): 142-152.   DOI: 10.13776/j.cnki.resourcesindustries.20231012.002
    Abstract79)      PDF(pc) (1783KB)(369)       Save

    China ‘s steel industry needs to replace the lagging production lines with advanced ones and to pursue group strategic reorganization when facing China ‘s dual-carbon goals.Technical advances and industrial policies indicate that siting new steel production lines is beneficial to production bases, and the site ‘s traffic supports matter. This paper uses DPSIR framework and dynamic comprehensive evaluation model to systematically analyze the logic relation between new sites and their traffic system, and establishes an evaluation system and method for new site ‘s traffic supports. Experimental tests based on China ‘s Baowu Iron & Steel group show that new sites will need to be strongly supported by the local urban traffics to reach the dual caron goals. DPSIR framework of new sites ‘ traffic supports include five levels such as driving forces, pressures, status, impacts and responses, all marking their loop logics between bases and cities ‘ traffic systems inside and over the levels. Evaluation results regarding China Baowu Iron & Steel group during 2015 to 2020 not only verifies the feasibilities of this evaluation system and method, but also approves the practice of DPSIR framework of traffic supports on siting new steel production lines.

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    GREEN CREDIT POLICY, ESG PERFORMANCE AND CAPITAL STRUCTURAL ADJUSTMENT OF HIGHLY-POLLUTING FIRMS
    DONG Yue, PAN Haiying
    Resources & Industries    2024, 26 (1): 75-85.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.002
    Abstract74)      PDF(pc) (1319KB)(428)       Save
    Green credit policy as a vital means to remove structural leverage is much helpful for highly-polluting firms to upgrade their capital structures. ESG focusing on environment, social and governance can impact highly-polluting firms’ capital structure adjustment. This paper, based on China’s A-listed 2011 to 2020 highly-polluting firms’ ESG performance, studies the effects of green credit policy on capital structural adjustment of highly-polluting firms. Green credit policy largely promotes the capital structural adjustment of highly-polluting firms, more for high debit firms than low debit firms. Green credit policy can enhance highly-polluting firms’ ESG performances, which can weaken the effects of green credit policy on capital structural adjustment of highly-polluting firms. Implementing effects of heterogeneity of financing constraints and commercial credit on green credit policy show that green credit policy can largely boost their capital structural adjustment of highly-polluting firms with strong financing constraints and low commercial credits compared to with weak financing constraints and high commercial credits. Relation between green credit policy and capital structural adjustment of highly-polluting firms plays a big role in optimizing credit resource allocation and pushing green transformation of highly polluting firms.
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    IMPACTS OF BUSINESS ENVIRONMENT ON TECHNICAL INNOVATION OF CHINA‘S MINOR ENTERPRISES FROM PERSPECTIVE OF RESOURCES-BASIS VIEW
    ZHOU Shenbei, YANG Zhe, ZHANG Guiqing
    Resources & Industries    2023, 25 (4): 93-104.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.001
    Abstract64)      PDF(pc) (1278KB)(496)       Save
    This paper on the purpose of exploring the impacts of business environment on technical innovation of China's minor enterprises, uses access to policy resource as a bridge to establish a framework of “business environment-resource accesstechnical innovation” from perspective of resources-basis view, take the data of A-share GEM listed companies in Shenzhen Stock Exchange from 2009 to 2017 as the research sample,which is used to study the mechanisms of business environment on technical innovation of China's minor enterprises, and to analyze the mediation of policy resources access between business environment and technical innovation of minor enterprises, and the moderating effect of market competitiveness intensity on policy resources access and technological innovation of minor,and uses the fixed effect model and the intermediary effect model to conduct empirical tests. Optimizing business environment can promote their technical innovation of China's minor enterprises. Among the tier 2 indicators of business environment, market intermediary organizations' development and legal system environment,development of factor market, development of private economy play an outstandingly positive role on their technical innovation. Excessive estrangement between the government and the market can have a restraining effect on technological innovation of minor enterprises. Development of products market works little on innovation of minor enterprises. Heterogeneity analysis suggests eastern China's business environment play a larger pushing role on minor enterprises' technical innovation than central-western China's. Business environment can not only directly boost their technical innovation of China's minor enterprises, but also indirectly through policy resources access. Access to policy resources plays a partial intermediary role between business environment and minor' technological innovation, accounting for 0.806 of the total effect of business environment on minor' technological innovation. Market competitiveness intensity plays a positive modulation between policy resources access and minor enterprises' technical innovation, the higher market competitiveness intensity, the access to policy resources will play a more positive role in promoting minor' technological innovation.
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    TEMPORAL-SPATIAL IMBALANCE OF PROVINCIAL WATER USE EFFICIENCY DYNAMIC EVOLUTION AND DRIVES BASED ON GEOGRAPHIC DETECTOR
    ZHANG Hengquan, GU Qianwen, ZHANG Chenjun
    Resources & Industries    2022, 24 (3): 81-93.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.012
    Abstract140)      PDF(pc) (5234KB)(1264)       Save
    China's water resources is characterized by heterogeneously spatial distribution, low use efficiency, and severe supply-demand conflict. This paper measures China's provincial water use efficiencies, and studies their temporal-spatial evolution and driving mechanism, providing reference for China to improve water use efficiencies, to boost ecological civilization construction and sustainable development. Super-efficiency SBM model is used to estimate China's 30 provinces' (cities) water use efficiencies from 2004 to 2019, and non-parameter kernel density is applied to illustrate their temporal-spatial evolution from two levels, nationwide and eastern, middle and western regions. Spatial visualization, spatial autocorrelation and cold-hot point are employed to depict their spatial pattern evolution from spatial differentiation and spatial correlation, and geographic detector is used to explore the temporal-spatial heterogeneity of drives and interactive mechanism among drives. The water use efficiencies show a falling trend in a fluctuated manner in the whole China and in eastern, central and western, with decreasing province counts of higher efficiencies, and increasing of lower, suggesting provincial efficiency variance has experienced an enlarging-diminishing evolution. China's water use efficiency shows a distributing pattern of eastern-middle-western, downwards, spatially, existing an outstanding positive spatial auto-correlation with a high-high and low-low clustering feature, and showing a “U-shaped” evolution of strong-weak-strong. From 2004 to 2019, China's water use efficiency displays an intensifying spatial differentiation with polarization of “eastern hot-western cold”, hot ranges shrinking then dispersing, and cold ranges shrinking then stabilizing. All drives largely vary with periods and regions. Q values of drives from 2004 to 2019 has been outstandingly increased with a diminishing variance. The major drives are becoming diversified, but economic level and urbanization level are always the key drives. After any drive is interacting with the other, the both will be increased, or in a non-linear increased, indicating that the two drives can jointly will intensify the spatial differentiation of water use efficiency.
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    QUANTITATIVE IDENTIFICATION OF SEDIMENTARY MICROFACIES 
    ZHAO Guangyu
    Resources & Industries    2018, 20 (1): 28-33.   DOI: 10.13776/j.cnki.resourcesindustries.20180212.002
    Abstract308)      PDF(pc) (1526KB)(1136)       Save
    Quantitative description of sedimentary microfacies is an effective way to study reservoir. This paper selects natural gamma and spontaneous potential logging curve to use their  root-mean-square, skewness and the average amplitude between the upper and lower within bed limit to serve as indexes in quantitative identification of sedimentary microfacies. The average amplitude of logging curve is used to classify as small and medium curve. Data skewness within bed limit is used to be a quantitative parameter to determine the curve stability and shape, which is employed to identify the stable and unstable curves. The average range of the upper and lower amplitude within bed limit is used to further ensure the morphology of logging curve. By using this method,  many microfacies such as meandering stream channel, beach, crevasse splays, natural levees and flood plain, have been identified in meandering stream deposits of Shahejie formation, Qudi oilfield, which validates this method. 
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    RESPONSIBILITY ACCOUNTING AND RIGHTS ALLOCATION OF CARBON EMISSION IN CHINA'S POWER INDUSTRY
    ZHOU Shenbei, QIAN Chen
    Resources & Industries    2019, 21 (5): 63-69.   DOI: 10.13776/j.cnki.resourcesindustries.20191011.001
    Abstract350)      PDF(pc) (8059KB)(672)       Save
    A rational responsibility accounting and rights allocation of carbon emission for power industry to set up carbon emission rights market. In consideration of inter-province power transfer, this paper estimates their carbon emission responsibilities in China's 30 provinces from producers' responsibility, consumers' responsibility and mutual responsibility, and applies the estimation in mutual responsibility to the comprehensively weighted allocation model which is based on hereditary rule, equalitarianism and payable ability. The results show an outstanding difference in carbon emission responsibility among provincial power industries under different accounting methods that the producers is lower than consumers in eastern China, but higher in central to western China. The mutual responsibility balances the difference. Under the comprehensively weighted model, carbon emission in 8 provinces shall reach the peak during 2017 to 2020 and fall to the 2016 level. According to provincial power carbon emission rights allocation quota and carbon emission prediction in 2020, nine provinces in the eastern coast area and northwest are short of carbon emission rights in 2020, which need to trade carbon emission rights or take action in carbon reduction.
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    PATH TO TRANS-REGION WATER RESOURCE CONFLICTS BY WATER RIGHT TRADING VIEWING FROM INCOMPLETE CONTRACT
    TIAN Guiliang, LI Xiaoyu, LIU Jining
    Resources & Industries    2020, 22 (3): 43-50.   DOI: 10.13776/j.cnki.resourcesindustries.20200529.009
    Abstract108)      PDF(pc) (6531KB)(490)       Save
    The reasons of trans-region water resource conflicts lie in unclear water resource ownership, irrational contract participants and lacks of the third supervisor viewing for incomplete contract. This paper, under the theoretical basis of graph model, analyzes their status transfer and stability of each major strategy of trans-region water resource conflicts, and attempts to present workable path to Ili River water resource conflict. Water right trading mode is a better way of prominent stability in dealing with trans-region water resource conflicts, compared with the traditional trans-region water resource interest negotiation mode. This paper provides a path to trans-region water resource conflicts and to its management system reform.
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    CONSTRUCTION LAND USE EFFICIENCY DIFFERENCE IN XINJIANG BASED ON DEA MODEL
    HAN Danjie, DU Hongru, 2019
    Resources & Industries    2019, 21 (4): 44-50.   DOI: 10.13776/j.cnki.resourcesindustries.20190605.013
    Abstract82)      PDF(pc) (6756KB)(495)       Save
    Improving construction land use efficiency is an effective approach to conflicts of human and land, and is of significance in land sustainable development. This paper uses CCR model in DEA to estimate the construction land use efficiency in Xinjiang's 88 cites (counties), with the result generally showing a low efficiency, namely more-input-less-output. 56.82% of the cities (counties) are less than the average and DEA effective units concentrate in the northern Xinjiang. The spatial differentiation is also distinct, highest in the north, lowest in the east, and middle in the south. This paper presents suggestions on reducing proportional land input production elements, optimizing industrial structure, improving labors abilities and using advanced technologies in increasing construction land use efficiency.
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    A CASE STUDY ON YONGQING COUNTY: DYNAMIC ASSESSMENT OF ECOLOGICAL SAFETY BASED ON DPSIR MODEL
    JIANG Yong, FU Mei-chen, DU Chun-yan, WU Xian-bin
    Resources & Industries    2011, 13 (1): 61-65.  
    Abstract2099)      PDF(pc) (1243KB)(2463)       Save

    Land dynamic assessment of ecological safety aims to coordinate land use and ecological environment construction, and to coordinate economic development and resource and environmental pressures. This paper, based on case study on Yongqing county, Hebei province, applies DPSIR model to establish 5 sub-systems and 25 indexes to assess the ecological safety, determines weights of each index by using entropy-weight method and APH, calculates the gross values of each unit and sets up an ecological safety degree model. This paper also analyzes the ecological safety status during 1996 to 2008, forecasts the ecological safety degree for year of 2010, 2015 and 2020, and divides Yongqing county into five safe ecological zones, which provides a reference for regional ecological safety warning, land use planning and a concerted development among economy, environment and ecology.

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    SPATIAL OVERFLOWING EFFECT OF HETEROGENEOUS ENVIRONMENTAL REGULATIONS ON WATER ENVIRONMENTAL POLLUTION: A CASE STUDY ON YANGTZE RIVER ECONOMIC BELT
    SONG Min, ZHANG Yuanyuan
    Resources & Industries    2022, 24 (1): 107-114.   DOI: 10.13776/j.cnki.resourcesindustries.20211221.009
    Abstract227)      PDF(pc) (1369KB)(508)       Save
    This paper studies the current water pollution in the Yangtze River Economic Belt temporally and spatially, explores the impacts of heterogeneous environmental regulations on water environmental pollution and provides references for promoting appropriate use of water resources and green development. Based on eleven provinces' panel data from 2009 to 2019, this paper studies the temporal-spatial features of water environmental pollution, and uses Moran's Index to analyze its spatial auto-correlation, and applies spatial Dobbin model to elaborate the spatial overflowing effect of heterogeneous environmental regulations. The results show that water environmental pollution discharge is rising, faster in the upper-reach, slower in the middle- and down-reach under certain controls. The water environmental pollution is of clear spatial distribution showing a decreasing trend from down-reach to upper-reach. Command-controlling regulations can obviously restrain water environmental pollution discharge, especially under the economic matrix; however, market-stimulated environmental regulations do the contrast, and public-volunteer environmental regulations do little. Command-controlling environmental regulations have a negative spatial overflowing effect on water environmental pollution of neighboring provinces/cities; market-stimulated environmental regulations do less, and public-volunteer environmental regulations do little, which means public involvement should be intensified. It concludes that the Yangtze River Economic Belt is still not good in water environmental pollution, which needs further controls. Although command-controlling regulations are the best means to curb water environmental pollution, public involvement shall also be taken into consideration. Appropriate approaches vary with areas. This paper presents suggestions on cultivating space awareness and boosting collaborative controls.
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    START-UP CAPABILITY, START-COMPOSITING AND NEW START-UP PERFORMANCE
    XIANG Wei, HUANG Yongchun
    Resources & Industries    2019, 21 (5): 86-93.   DOI: 10.13776/j.cnki.resourcesindustries.20190925.001
    Abstract68)      PDF(pc) (7249KB)(681)       Save
    China is entering start-up period, starting up has become a new engine to push innovation and economy. Start-up capability and compositing of starters directly impact start-up performance. This paper, based on incubators survey data, aiming at the starters, studies the impacts of sentiments capability, recognition capability, profession capability and social capability on start-up performance, and discusses the media of compositing. Start-up capability plays a positive role on performance, the others vary that start-up compositing is positive on performance and of obvious media in relation between start-up capability and performance, and of partially media in relation among recognition capability, profession capability, social capability and performance, and of a thorough media in relation between sentiment capability and performance. 
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    MPACTS OF TECHNICAL INNOVATION ON GREEN TOTAL FACTOR PRODUCTIVITY BASED ON ADJUSTMENT OF INDUSTRIAL AGGLOMERATION

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

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

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    FDI, FINANCIAL PRESSURE AND GREEN TOTAL ELEMENT PRODUCTIVITY

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

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

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    IMPACTS OF NEW ENERGY VEHICLE INDUSTRIAL AGGLOMERATION ON REGIONAL GREEN ECONOMIC EFFICIENCY BASED ON A CASE STUDY ON YANGTZE RIVER ECONOMIC ZONE
    YANG Kaijun, CAO Anqi, FANG Cihui
    Resources & Industries    2024, 26 (1): 35-49.   DOI: 10.13776/j.cnki.resourcesindustries.20231213.002
    Abstract153)      PDF(pc) (1371KB)(295)       Save

    This paper incorporates industrial agglomeration, green technical innovation and green economic efficiency to study the impact of new energy vehicle industrial agglomeration on green economic efficiency in Yangtze River economic zone, aiming at offering references for China to reach strategic objectives of manufacturing power and to develop new energy vehicles in Yangtze River economic zone under the dual-carbon settings. This paper, based on 11 provinces/cities’ 2012 to 2020 panel data along Yangtze River economic zone, uses super-efficiency SBM and locality entropy to establish a measuring model, which is employed to study impacts of new energy vehicle industrial agglomeration on green economic efficiency. And discusses mediating effects of green technical innovation. The spatial overflowing effects and regional heterogeneity of new-energy vehicle industrial agglomeration on green economic efficiency also were analyzed. The entire Yangtze River economic zone has become a zoned new energy vehicle industrial agglomeration area, with its agglomerating level fluctuating up over years, and increasing from down- to upper-stream with growing variance. New energy vehicle industrial agglomeration promotes the green economic efficiency in Yangtze River economic zone through consolidating internal network resources and boosting external entire capabilities. Development of industrial agglomeration promotes green technical innovation through competition and cooperation, and development of green technical innovation can also boost economic drives and efficiency, proving its mediation between industrial agglomeration and green economic efficiency. New energy vehicle industrial agglomeration has spatial overflowing on green economic efficiency, varying among upper-, middle- and down-stream. This paper presents suggestions on enhancing industrial clustering construction to play a role in the long-term mechanism of new energy vehicle industry, boosting green technical innovation system and advancing regional heterogeneity of new energy vehicle.

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    REVIEW ON TRANSFORMATION OF CHINA’S RESOURCES  BASED CITIES
    HU Li-mei
    Resources & Industries    2011, 13 (6): 6-10.  
    Abstract4505)      PDF(pc) (1226KB)(2990)       Save

     Due to a limit in resources, resources-based cities attempt to seek for transformation to keep a sustainable development. This paper, based on a review of related researches, concludes that domestic studies are focused on their industrial transformation and policies, evaluation system and planning from geography, economics and management. Different methods are applied to analyze the issues and approaches are suggested, but not enough in study perspective and foreseeing. The future studies shall be concentrated on a comprehensive perspective and predict the coming issues and present approaches to promote a smooth transformation.

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    DYNAMIC EVOLUTION AND SPATIAL SPILLOVER EFFECT OF INDUSTRIAL GREEN WATER RESOURCE EFFICIENCY (IGWRE) BASED ON A CASE STUDY OF YANGTZE RIVER ECONOMIC ZONE
    WANG Baoqian, XIE Bei
    Resources & Industries    2020, 22 (5): 10-18.   DOI: 10.13776/j.cnki.resourcesindustries.20200907.001
    Abstract110)      PDF(pc) (8038KB)(514)       Save
    This paper uses a non-expected output EBM ultra-efficiency model to measure the industrial green water resource efficiency of 11 provinces and upper-, middle- and down-stream of Yangtze river economic zone during 2002 to 2018, and employs Kernel-Density to estimate the core density curves, and applies spatial Dubin model under fixed effect to calculate the industrial green water resource efficiency of Yangtze river economic zone on the basis of panel data adaption check, and analyzes its temporal-spatial heterogeneity. The industrial green water resource efficiency varies obviously in different provinces/cites, much higher in down-stream than middle- and up-stream. IGWRE is of outstanding spatial overflow effect, with spatial concentrating in nearby provinces/cities. Decomposition of effect suggests that IGWRE is, directly and indirectly, related to economy, industry, environmental regulations, industrial structure, social investment, foreign openness level and infrastructures.
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    COSTS COMPOSITION AND CHARGING STANDARDS DURINGLAND REHABILITATION PLANNING
    WANG Jin-man, BAI Zhong-ke
    Resources & Industries    2010, 12 (6): 84-89.  
    Abstract2303)      PDF(pc) (1448KB)(3681)       Save

    By comparing the production construction projects land rehabilitation and land consolidation, and development construction project water-soil conversation, this paper establishes a framework of land rehabilitation cost, and sets up the charging standards, which can provide a reference in cost estimation during land rehabilitation planning.The land rehabilitation costs mainly cover projects and biological measures, facilities, other costs, basic deposits, risk cost and price difference deposits.Project costs include construction measure and biological measure, and other cost needs measure maintenance cost and rehabilitation supervision cost, and some specific projects like metallic mines need risk deposits. Land rehabilitation is based on a dynamic project investment, and the basic deposit rate is higher.

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    INTERACTION AMONG ECOLOGICAL CONSUMPTION, WELFARE LEVEL AND ENVIRONMENTAL POLLUTION UNDER PERSPECTIVE OF “DUAL CIRCULATION”

    ZHENG Yuyu, DUAN Xianming
    Resources & Industries    2023, 25 (5): 107-121.   DOI: 10.13776/j.cnki.resourcesindustries.20231017.001
    Abstract50)      PDF(pc) (2200KB)(238)       Save

    Speeding up transforming and upgrading China ‘s highly-energy-consuming, highly-polluting industries to improve and guarantee human ‘s welfare from demand side is of significance to increase supply capacity externally and to meet internal consumption, as dual circulation goal. This paper uses their interaction among ecological consumption, welfare level and environmental pollution to explore the effective approaches to transformation of highly-energy-consuming, highly-polluting industries and to human ‘s welfare. In light of 2005 to 2019 provincial panel data, this paper estimates China ‘s ecological consumption, welfare level and environmental pollution, and applies PVAR model to study their interaction. In 2019, top three in welfare level are Beijing, Shanghai and Tianjin, with Tibet, Gansu and Qinghai at the bottom. high-welfare-low-consumption and high-welfare-low-pollution are most located in eastern, low-welfare-high-consumption and low-welfare-high-pollution are most in western. Historical welfare levels generally show a high to low trend from eastern, northeastern, central to western. A positive response model of high-welfare-low-consumption exists between welfare level and ecological consumption both in a short and long term. A green production model of low-consumption-low-pollution between ecological consumption and environmental pollution in a short term is not solid in a long term. Improving welfare level is key to maintain positive response mode of high-welfare-low-consumption and green production mode of low-consumption-low-pollution. This paper presents suggestions on advancing transforming/upgrading China ‘s highly-energy-consuming and highly-polluting industries.

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    AVO PROCESSING QUALITY CONTROL THROUGH PRE-STACK SEISMIC FORWARD MODELING
    DAI Xiao-feng, GAN Li-deng, DU Wen-hui, LI Ling-gao, ZHANG Xin, FENG Qing-yuan
    Resources & Industries    2011, 13 (1): 93-98.  
    Abstract1673)      PDF(pc) (2677KB)(2081)       Save

    This paper introduces a method comparing and controlling the changes of track amplitudes varying with displacements during processing seismic data, which applies dipole sonic logging and density logging to pre-stack forward track modeling. By using Zoeppritz function and its similar equations, the prestack forward track is measured in intercept and gradient attributes based on a stable sedimentary mark layer. Through comparison between forward AVO track, practical displacement track wave features by wells and AVO attributes, the amplitude is retained from processing and results, which achieves a quantitative control of AVO features.

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    IMPACT MECHANISM OF HETEROGENEOUSLY ENVIRONMENTAL REGULATIONS ON GREEN TOTAL FACTOR PRODUCTIVITY BASED ON ADJUSTING OF ENERGY CONSUMPTION STRUCTURE
    GAO Yi, YANG Gaosheng, XIE Qiuhao
    Resources & Industries    2020, 22 (3): 1-10.   DOI: 10.13776/j.cnki.resourcesindustries.20200529.001
    Abstract144)      PDF(pc) (8198KB)(149)       Save

    To explore the impact mechanism of heterogeneously environmental regulations on green total factor productivity, this paper uses SBM to estimate the green total factor productivities (GTFP) of “economy-resource-environment-society” in each province, and divides environmental regulation tools into four categories, command-controlling, economy-stimulating, harness-inputting and public-participating, and establishes a spatial Durbin model and threshold effect model to include that heterogeneously environmental regulations impose direct, indirect and spatial overflow effects on green total factor productivity if adjusted by energy consumption structure. Economy-stimulating and public-participating environmental regulations impact GTFP locally and neighboring areas through adjusting energy consumption structure. Command-controlling, economy-stimulating and public-participating environmental regulations impact GFTP through a threshold effect. Under adjustment of energy consumption structure, indirect effect of command-controlling and economy-stimulating environmental regulations on GTFP also through a threshold effect. This paper suggests that governments shall consider the interaction of other energy consumption structures in making environmental regulations, and adopt appropriate regulations and intensity to apply in areas with different energy consumption levels.

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