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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
    Abstract231)      PDF(pc) (1502KB)(323)       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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    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
    Abstract70)      PDF(pc) (8058KB)(193)       Save
    China is entering a new era with its economy turning to quality development from rapid growth. JJJ, as a new capital economic zone, plays a key role in demonstrating city cluster’s quality development. This paper, aiming at JJJ’s coalition in developing strategy for a quality city cluster’s quality development, this paper, based on JJJ"s 13 perfectures’ 2011 to 2020 data, uses the contents of quality development to establish a comprehensive evaluation index system for JJJ city cluster’s quality development, and employs entropy-TOPSIS model to estimate JJJ city cluster’s 2011 to 2020 quality developing index, and applies coupling coordination model & spatial autocorrelation model to study its coupling coordinating level, temporal-spatial evolutionary trend and spatial concentrating effect.The coupling coordination of JJJ city cluster’s quality development shows a weak-then-strong trend, with major cities in coordination in 2011 to 2015 changing to developing cities, at a decreasing coupling coordination, but rising after 2015. The coupling has been steadily rising, 84% of JJJ’s cities are rising in their coupling, most with strong correlation among economy, eco-environment, innovation, and civilian welfare. Temporal-spatial pattern of coordination has not changed, Cangzhou, Tianjin, Tangshan and Qinhuangdao have always been at the tier 2 except Beijing seats atop. Spatial evolutionary pattern of quality development suggests Beijing, Tianjin and Langfang are in the core area of city cluster’s quality development, radiating outward to southeast, falling toward northeast. Economy, eco-environment innovation and civilian welfare are the same. JJJ’s city cluster’s quality development has a positive overall auto-correlation, cities of high quality development are geographically closer, with outstanding spatial heterogeneity, their capitals are mainly located in the promoting area, Cangzhou, Hengshui and Qinhuangdao in the transition zone, and Langfang in the radiation zone, negatively correlated. A key mission for JJJ’s city cluster’s quality development is to make up the regional developing gap. This paper presents suggestions on accelerating industrial transformation to diminish regional gap, intensifying environmental cooperation to promote green development, activating regional resources to drive innovation, and jointly constructing public services to share the dividends.
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    EVOLUTIONARY MECHANISM OF SUPPLY-DEMAND DEPENDENCE NETWORK OF CHINA ‘S NEW ENERGY VEHICLE INDUSTRY
    LI Yang, LI Huajiao, FENG Sida
    Resources & Industries    2023, 25 (3): 69-81.   DOI: 10.13776j.cnki.resourcesindustries.20230427.002
    Abstract145)      PDF(pc) (4591KB)(179)       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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    QUANTITATIVE ANALYSIS OF CHINA ‘S ENERGY SECURITY POLICY TEXTS BASED ON CONTENT ANALYSIS
    ZHOU Haiwei, XU Ying
    Resources & Industries    2023, 25 (3): 53-68.   DOI: 10.13776j.cnki.resourcesindustries.20230427.001
    Abstract123)      PDF(pc) (3828KB)(170)       Save
    Policy files have long been providing regulations for energy security. As energy security gets increasingly complicated, energy security policy making is facing new requirements. To clarify the topics, intensity and pattern of existing energy security policies, this paper sets up a 3D framework of “policy pivot point-intensity-tool” to provide reference for optimizing energy security policy system, and applies content analysis method to make quantitative and temporal-spatial analysis of 270 energy security policies from 1957 to 2021. Energy saving is the first priority to energy security. Northeastern China focuses on gas and heat supply, central China on green and security, eastern China on non-governmental organizations, and western China on the tie of energy and water, all missing environmental security and government assessment. Total intensity of policy rises with its quantity. Up to 85 pieces of policies are issued during the 13th Five-Year Plan, when the total intensity is the greatest. Mandatory policy tools are used at a rate of 89.07%, of which “prohibitionregulations” amounting to 26.8%, followed by “clarifying responsibilities” amounting to 14.15%. Hybrid and voluntary policy tools are used at a rate of 5.51% and 5.42%. This paper presents suggestions on paying more attention to assessment, environment and security,on pushing social organizations and funds into energy security, on making energy security strategies, constructing energy security policy system and planning policy issuing organizations, on deliberately reducing mandatory policy tools, improving governing methods and decreasing administrative costs. Government shall coordinate hybrid policy tools to fulfill marketing mechanism, and expand volunteer policy tools to boost advocation and intensify energy security awareness.
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    EVOLUTIONARY GAMING ANALYSIS ON GREEN ENERGY INTERNATIONAL COOPERATION UNDER GLOBAL CARBON NEUTRALIZATION
    XIAO Yutong, CHEN Jun
    Resources & Industries    2023, 25 (3): 19-30.   DOI: 10.13776j.cnki.resourcesindustries.20230426.001
    Abstract123)      PDF(pc) (2882KB)(161)       Save
    To get rid of zero-sum game in industrialized culture and to promote an equal global green energy cooperation in harnessing the global climate has become a vital global topic in carbon neutralization and human ‘s mutual community. This paper, based on developing stages, capabilities and responsibilities on global climate changes in developing and developed countries,analyzes the implementation mechanism of global green energy cooperation. A dynamic evolutionary gaming model is used to discuss an interaction between developed and developing countries on green energy competition and cooperation. Simulation is applied to study the impacts of initial major parameters ‘ changes on both gaming strategies under multiple scenarios, aiming at obtaining a dynamic evolutionary path and a stable strategy. Developed countries are complementary with developing ones in resources, market structures and developing desires.Green energy cooperation involving their mutual benefits, helpful in reaching the global carbon neutralization, is the optimal strategy. Governmental incentive policies playing a key role in their strategic choices may be increased as the expected benefits on global green energy coalition rises. A decreasing cost and risk in global green energy cooperation is favorable to reaching a win-win status between the gaming parties.Enhancing global green energy cooperation, mutually dealing with global climate changes and accelerating global carbon neutralization need to focus on governmental support, which can improve participants ‘ enthusiasm in global green energy coalition and increase the potential gains.Companies shall boost green low-carbon technical innovation to better develop and use green energy globally at a lower cost.All countries shall be cooperative in global green energy with removal of cold war views and zero-sum idea for a global transformation to green low-carbon development.
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    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
    Abstract90)      PDF(pc) (1323KB)(140)       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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    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
    Abstract129)      PDF(pc) (1258KB)(135)       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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    TEMPORAL-SPATIAL VARIANCE AND CONVERGENCE OF URBAN PER CAPITA ENERGY CONSUMPTION BASED ON CHINA ‘S 243 PREFECTURES DATA

    WANG Bangjun, CUI Linyu
    Resources & Industries    2023, 25 (3): 31-41.   DOI: 10.13776j.cnki.resourcesindustries.20230426.003
    Abstract96)      PDF(pc) (1980KB)(134)       Save

    Regional energy consumption variance has been negatively impacting economic structural transformation and China ‘s energy strategies due to multiple factors. Energy structure and energy consumption trend are studied to promote a coordinated development among economy, society, energy and environment, and materialize an optimized energy structural allocation and boost economic sustainability.This paper uses China ‘s 243 prefectures ‘ urban per capita energy consumption panel data from 2005 to 2019 to study the temporal-spatial distribution and evolution, and applies σ, β and club convergence to recognize its converging level of urban per capita energy consumption, and employs ordered regression model to study the mechanism of urban resources and initial resource development on urban per capita energy consumption transferring path. In China ‘s 243 prefectures, the urban per capita energy consumption has no overall convergence but club convergence, 4 converging clubs and 1 diverging club. Initial energy consumption level, urban industrial structure, opening-up level and per capital consumption level are the vital factors impacting club convergence. Opening-up level plays a negative role, and urban economic level and industrialized level play positively in clubs with higher per capita energy consumption. The reverse applies in clubs with lower per capita energy consumption. All factors work little in clubs with average. This paper presents suggestions on making appropriate policies and adjusting measures, maintaining proper population growth rate, increasing innovative level, altering industrial structure and degrading urban energy consumption.

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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
    Abstract29)      PDF(pc) (2186KB)(132)       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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    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
    Abstract84)      PDF(pc) (1358KB)(124)       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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    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
    Abstract101)      PDF(pc) (1260KB)(118)       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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    APPROACHES TO INDUSTRY ECONOMIC GROWTH PATH CONSTRAINED BY ENERGY-SAVING-EMISSION-REDUCING
    WANG Chengjun, HAN Yanfei
    Resources & Industries    2023, 25 (4): 1-11.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.003
    Abstract88)      PDF(pc) (1756KB)(118)       Save
    In order to reduce the impacts of global climate warming on world ecological environment, Chinese government has set up a “dual carbon” strategy of carbon peaking before 2030 and carbon neutralization before 2060. Approaches to energy-saving-emission-reducing and to economic growth as well have become one of the pending research topics. This paper, aiming at a coordinated development between energy-saving-emission-reducing and economic growth, focusing on three key points of economic growth, energy consumption and carbon dioxide emission to construct a multiple objectives optimized model of industry economic growth, which is applied to study the impacts of decrement in industry energy consumption intensity on China's industry economic growth and carbon dioxide emission reduction by means of Nondominated Sorting Genetic Algorithms under three energy consumption intensity scenarios. From 2021 to 2023 under the benchmark scenario, GDP of other industries gains a highest annual growth rate, followed by transportation and warehousing and postal services. It indicates that their economic growth potential in the future will be relatively greater. China's accumulated GDP is estimated to reach 1 26399 trillion yuan, 1 264.18 trillion yuan and 1 264.28 trillion yuan under the three scenarios from 2021 to 2023, indicating that decrement in energy consumption intensity can not only reduce carbon dioxide emission, but also boost China's GDP growth. China's gross energy consumption under the low carbon will decrease by 20% than under the benchmark scenario during 2021 to 2030, and by 40% under the strengthen low carbon, under the two low-carbon scenarios, the decline of the national total energy consumption is basically the same as that of the industry energy intensity. China's carbon intensity changes show a descending trend under the three scenarios from 2021 to 2023, reaching 0.083 4t/KRMB, 0.068 0t/KRMB and 0.053 0t/KRMB in 2030, down by 74% compared to 2005, far over the government's target 65%. 
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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
    Abstract65)      PDF(pc) (3975KB)(109)       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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    IMPACTS OF ENVIRONMENTAL REGULATIONS ON INVESTING INCLINATION OF HEAVILY POLLUTING COMPANIES: BASED ON CHINA’S A-LISTED COMPANIES’ DATA

    QIU Lei, MA Beiwen, ZHOU Qin, CHENG Changgao
    Resources & Industries    2023, 25 (3): 92-106.   DOI: 10.13776j.cnki.resourcesindustries.20230426.007
    Abstract87)      PDF(pc) (1262KB)(107)       Save

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

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    OVERVIEW OF FOREST RESOURCES AND FOREST ECOLOGICAL MONITORING BASED ON SPACEBORNE REMOTE SENSING
    WANG Jin, CHEN Qianxun, HAN Ping, Chen Feiyong, QIN Yingwei, GUO Lianxiu, WANG Huixin, XU Jingtao, Du Yufeng
    Resources & Industries    2023, 25 (4): 150-158.   DOI: 10.13776/j.cnki.resourcesindustries.20230322.001
    Abstract83)      PDF(pc) (1174KB)(96)       Save
    As ecological civilization construction goes forward, China increasingly pays more attentions on forest resources and forest ecological status, requiring a timely, continuous and diversified assessment of monitoring of forest resources and forest ecological status, which provides a good development opportunity for usage of spaceborne remote sensing in monitoring forest resources and forest ecological status. Spaceborne remoting sensing has been widely used as an effective monitoring of forest resources and forest ecological status in surveying forest resources, assessing forest ecoenvironment and operating forest business. Forest ecological information acquired amid the process can provide longterm and continuous serial data for managing forest resources. Spaceborne remote sensing application technology used in monitoring of forest resources and forest ecological status can be divided into three categories, optical, microwave and thermal infrared.This paper explores SAR-based forest resources parameters extraction method, principle and application from backscattering coefficient, polarimetric SAR, InSAR, differential InSAR and polarimetric interferometric InSAR, and introduces the key interfaces during studying forest temporal-spatial changing rules via spaceborne remote sensing(canopy atmosphere interface)and representative parameters (normalized vegetation index).This paper presents suggestions on constructing forest remote sensing ecological indictor system on the basis of scientificity and rationality of index system and the feasibility of index inversion, on constructing integrated landspaceborne forest ecosystem smart monitoring platform through integrating all monitoring systems to increase reverting accuracy of forest resources parameters, on obtaining forest ecological monitoring information to provide basic data and important references for forest resources carbon sink management, on precisely obtaining the phase of forest crown and ground, constructing forest height compensation model for future inverting tree height research. 
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    EMPIRICAL STUDY ON SYMBIOTIC EVOLUTION OF ADVANCED MANUFACTURING AND PRODUCTIVE SERVICING IN SICHUAN-CHONGQING AREA

    HUANG Dingxuan, WANG Mengyuan, TAN Binqiang, et al
    Resources & Industries    2023, 25 (6): 150-162.   DOI: 10.13776/j.cnki.resourcesindustries.20230814.001
    Abstract37)      PDF(pc) (2358KB)(96)       Save
    A coordinated development between advanced manufacturing and productive servicing is a crucial direction for serviced manufacturing, and a vital means for manufacturing ‘s quality development. This paper, aiming at this less studied topic in Sichuan-Chongqing area, uses Logistic symbiotic evolution model with Sichuan-Chongqing ‘s 2005 to 2020 advanced manufacturing and productive servicing data to study their symbiotic evolution from a perspective of industrial interaction. Sichuan-Chongqing ‘s advanced manufacturing is in its mature period, and its productive servicing in its developing period. The both have a symbiotic effect, an asymmetric mutual symbiotic relationship. Impacts of productive servicing on advanced manufacturing are stronger than that of advanced manufacturing on productive servicing. This paper put forward suggestions on constructing industrial coordinating mechanism between advanced manufacturing and productive servicing in Chengdu-Chongqing dual city economic zone, pushing its industrial ecological zone construction, and encouraging talents education in advanced manufacturing-productive servicing related universities-firms. This paper provides references for accurately telling their symbiotic stage of two industries, and making specific industrial policies.
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    STRUCTURAL FEATURES OF CHINA'S MULTI-REGIONAL EMBODIED CARBON NETWORK
    DONG Tingjie, LI Li, LI Ayong, XU Peifeng, OU Wenhao, WANG Zhen
    Resources & Industries    2023, 25 (4): 12-25.   DOI: 10.13776/j.cnki.resourcesindustries.20230718.001
    Abstract91)      PDF(pc) (3257KB)(91)       Save
    This paper, in order to study the structural features of embodied carbon network in China's multiple regions, uses environmental expansion input-output model to establish China's multiregional embodied carbon network, and applies structural path betweenness centrality to determine the key carbon dioxide transmission sectors in the embodied carbon network,identifying critical carbon dioxide transmission pathways using structural path analysis method,and in-depth research was conducted on China's multi-regional embodied carbon network based on data such as the 2017 multi-regional input-output table.Among China's multi-region embodied carbon network in 2017, the top 30 provincial industrial sectors in transmission embodied carbon include 10 metallic smelting and processing, and 8 electricity and thermal production and processing industrial sectors, who heavily use highly-energy-consuming products from the upper stream industrial sectors as middle input, leading to vast quantity of carbon dioxide transmitted to the down-stream industrial sectors. The top 3 provinces in the betweenness centrality of China's multi-regional embodied carbon network in 2017 are Jiangsu, Shandong and Henan. In the supply chain of embodied carbon transmission in various provinces, the key transmission path for embodied carbon transmission in most provinces of China is the non-metallic mineral products industry → construction industry, power and heat production and processing industry → construction industry, power and heat production and processing industry → other service industries. Some embodied carbon key transmission sectors can not be recognized by using the traditional methods based on production and consumption ends, which can be reached through structural path betweenness centrality. 
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    IMPACTS OF GOAL PROGRESS INFORMATION AND SELF-CONSTRUAL ON REPEATED LOW CARBON CONSUMPTION MOTIVATION
    HE Lishi, DING Yanyu
    Resources & Industries    2023, 25 (3): 133-144.   DOI: 10.13776j.cnki.resourcesindustries.20230426.006
    Abstract68)      PDF(pc) (1271KB)(85)       Save
    Low carbon consumption is one of the key paths to “dual carbon” objective, but individuals are not motivated to repeated low carbon consumption, which puts pressure on carbon reduction from stimulating consumption end. Properly stimulating low carbon consumption is not only beneficial for nation ‘s green low carbon strategy, but also meaningful for market competition.This paper uses stimulus-organism-response model to study the interaction of goal progress(to date vs. to go) and self-construal(interdependent vs. independent) on repeated low carbon consumption motivation through random questionnaire, and the mediation of perceived consumer effectiveness. Goal progress information and self-construal have an interaction on individual repeated low carbon consumption motivation. For individuals with interdependent self-construal, “to date” goal progress information has a greater effect on repeated low carbon consumption motivation, but for individuals with independent self-construal, there is no difference.Perceived consumer effectiveness plays a mediating role in the process. Interaction exists between goal progress information and self-construal and perceived consumer effectiveness. “To date” goal progress information has a greater effect on the perceived consumer effectiveness of individuals with interdependent self-construal, while both goal progress information has similar influence on the perceived consumer effectiveness of individuals with independent self-construal. This paper presents suggestions for companies in designing effective communication strategies and stimulating repeated low carbon consumption, and provides reference for China ‘s “dual carbon” objective.Companies can make clear and appropriate carbon reduction goal, show timely goal progress information, recognize different potential consumers and cast differentiated information.
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    HEILONGJIANG’S INDUSTRIAL CARBON EMISSION SCENARIOS AND PEAKING PREDICTION BASED ON STIRPAT MODEL
    HE Letian, YANG Yongqi, LI Rong, et al.
    Resources & Industries    2024, 26 (1): 162-172.   DOI: 10.13776/j.cnki.resourcesindustries.20231212.003
    Abstract76)      PDF(pc) (1369KB)(83)       Save

    Study on carbon emission factors and scenario prediction of Heilongjiang’s industrial sectors is of significance to reach Heilongjiang’s green low-carbon development under the background of carbon peaking and carbon neutralization. This paper uses IPCC to estimate Heilongjiang’s historical industrial carbon emission, and applies extended STIRPAT model to determine the six variables from population, economy and technology, square of GDP per capita, population scale, gross industrial production, industrial energy consumption, energy consuming efficiency and energy structure, and employes ridge regression to establish a carbon emission factor model by removing the multi-collinearity of independent variables. This paper also studies Heilongjiang’s social and economic reality from economic development, population scale, energy consumption and energy consumption efficiency, and determines the increment of independent variables combined with macroscopic policies, and predicts its 2020 to 2050 Heilongjiang’s appropriate industrial carbon emission under three scenarios, benchmark, low-carbon and highly-energy-consuming. Heilongjiang’s industrial low-carbon development is facing a huge demand for fossil energy and insufficient energy conversion efficient. Among the six factors impacting industrial carbon emission, square of GDP per capita, gross industrial production, industrial energy consumption and energy structure promote its industrial carbon emission, of which industrial energy consumption works the most, while population scale and energy consuming efficiency play on the contrast. Heilongjiang’s industrial carbon emission shows an increasing-then-decreasing evolutionary trend under the all three scenarios, varying in peaking time and heights, 71.35 millions tons in 2030 under the low-carbon scenario, 89.97 millions tons in 2035 under the benchmark scenario, and 123.68 millions tons in 2045 under the highly-energy-consuming scenario. This paper presents suggestions on largely adjusting industrial energy use structure, focusing on energy technical conversion and upgrade, and perfecting low-carbon green policies.

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    IMPACTS OF DEPOSITIONAL REDUNDANT RESOURCES ON TECHNICAL INNOVATIVE PERFORMANCE OF CHINA'S MANUFACTURING ENTERPRISES
    XU Jixiao, LU Qianqian
    Resources & Industries    2023, 25 (4): 116-126.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.002
    Abstract49)      PDF(pc) (1302KB)(79)       Save
    Manufacturing is a key basis for real economy, manufacturing enterprises technical innovation can reach a quality economic development and acts as a unique factor for China's manufacturing to be stronger. Innovative resource inputs are a critical factor for manufacturing enterprises to conduct technical innovation. This paper, for a purpose of studying impacts of depositional redundant resources on technical innovative performance of China's manufacturing enterprises, based on China's A-share manufacturing enterprises' 2013 to 2021 as research samples, uses fixed effect model to study their relationship among depositional redundant resources, ownership concentration and manufacturing enterprises' technical innovative performance, and to analyze the impacts of ownership heterogeneity on the relationship between depositional redundant resources and manufacturing enterprises' technical innovative performance. Depositional redundant resources shows a upside down “U-shaped” relation with technical innovative performance, meaning that depositional redundant resources can promote the technical innovative performance before reaching the premium critical value, but depress it after. This upside down “U-shaped” relation can be enhanced by ownership concentration. It can enhance the positive promoting effect of moderate depositional redundant resources on the technological innovation performance of manufacturing enterprises, and also enhance the negative inhibitory effect of excessive depositional redundant resources on the technological innovation performance of manufacturing enterprises. Impacts of depositional redundant resources on technical innovative performance vary with manufacturing enterprises' property rights in China with such a upside down “U-shaped” relation between depositional redundant resources and technical innovative performance in private enterprises more outstanding than in state-owned enterprises. 
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    IMPACTS OF GLOBAL VALUE CHAIN'S DYNAMIC EVOLUTION ON CHINESE MINING'S GREEN TOTAL FACTOR PRODUCTIVITY BASED ON MODERATION OF INDUSTRIAL POLICIES
    ZHANG Shuai, LIU Chunxue, MA Xianguang,
    Resources & Industries    2023, 25 (4): 26-40.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.010
    Abstract55)      PDF(pc) (1575KB)(73)       Save
    As Chinse mining integration with global value chain (GVC) is rising, this paper aims to study how to make corresponding industrial policies under difference Chinese mining integration levels in GVC so as to improve Chinese mining's green total factor productivity (GTFP). From constructing calculation model of mining's GTFP, this paper uses the moderation of industrial policies to study the impacts of GVC's dynamic evolution on Chinese mining's GTFP, and discusses their moderating roles of encouraging and regulatory industrial policies on Chinese mining's GTFP in different stages of GVC. GVC's dynamic evolution plays an upside-down “U-shaped”role on Chinese mining's GTFP, with a diminishing positive marginal effect as integrating level of GVC is growing, down to 0 when the integrating level reaches 0.178, even down to negative if the integrating level passes 0.178, negative marginal effects begin to replace positive marginal effects,then gradually increasing with the integrating level. When Chinese mining has a low integrating level in the GVC, encouraging industrial policies such as tax refund, R&D allowance and low-interest loan play a boosting role on Chinese mining's GTFP, while the regulatory industrial policies works adversely. When Chinese mining has a high integrating level, regulatory industrial policies like environmental rules and production capacity limitations play a positive role on Chinese mining's GTFP, while the encouraging industrial policies play negatively. 
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    MEASUREMENT OF HIGH-QUALITY ECONOMIC DEVELOPMENT IN YANGTZE RIVER DELTA BASED ON INCLUSIVE TOTAL FACTOR PRODUCTIVITY

    WANG Jigan, BAO Tingting, XING Zhencheng
    Resources & Industries    2023, 25 (3): 82-91.   DOI: 10.13776j.cnki.resourcesindustries.20230426.008
    Abstract62)      PDF(pc) (2466KB)(70)       Save
    Construction of Yangtze River Delta is guided by five major development concepts of innovation, coordination, green, sharing and openness in the new era. Measurement of the inclusive total factor productivity in Yangtze River Delta ‘s 26 prefectures, analysis of its development law, and judgement of each city ‘s developing trend, can provide reference for high-quality development of Yangtze River Delta. This paper uses 26 prefectures ‘ panel data from 2007 to 2019 to establish an inclusive total factor productivity index system based on five major development concepts to analyze their high-quality economic level, and applies GIS and kernel density to estimate their dynamic evolutional laws. Yangtze River Delta has a rising and high development level. Shanghai is the top, followed by Jiangsu, then Zhejiang, with Anhui at the bottom. Shanghai gets a score of inclusive total factor productivity at 1.161, Jiangsu at 0.949, Zhejiang at 0.835, Anhui at 0.815. Among Yangtze River Delta city cluster, twelve cities are at the high level, and one city is at the low level in 2019. High-quality economic development level has been rising over years with emerging clusters, but gaps also swell among cities as polarization. Yangtze River Delta cities should break regional barriers and promote regional coordinated development. Shanghai should play the leading role and attach importance to infrastructural construction, integrated circuit, biological medicine, and artificial intelligence. Jiangsu should focus on digital economy and innovative system.Zhejiang should boost a linked development of Hangzhou and Ningbo with Shanghai.Anhui should adjust industrial structure, reduce heavy pollution industries, and adopt proper economic policies to promote the regional development among its cities.
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    RESEARCH ADVANCES OF AESTHETIC SERVICE ASSESSMENT OF ECOSYSTEM

     

    JIANG Wei
    Resources & Industries    2023, 25 (5): 96-106.   DOI: 10.13776/j.cnki.resourcesindustries.20230908.001
    Abstract28)      PDF(pc) (1204KB)(68)       Save
    Aesthetic service of ecosystem is one of cultural services between human and ecosystem, vital to human ‘s welfare, but its intangibility, subjectivity, data accessibility and lack of standard assessment process make quantitative assessment difficult. This paper, based on theoretical basis of aesthetic service of ecosystem, focusing on subjectivism and objectivism paradigms of aesthetic assessment, uses systematic method to summarize the major assessment ways of aesthetic service of ecosystem since the 21st century. As attentions on aesthetic service are increasing, assessment methods show two directions, decentralization and centralization. Decentralization is more objective in objectivism, more subjective in subjectivism, while centralization serves as a joint paradigm. This paper discusses the methods ‘ application and limitation in ecosystem management, regional planning and industrial development, and presents suggestions for future research on comprehensive modelling, temporal-spatial dimension, supply-demand analysis and values assessment.
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    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
    Abstract39)      PDF(pc) (2963KB)(64)       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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    THOUGHTS ON MARKETIZED MANAGEMENT REFORM OF CHINA’S OIL-GAS MINING RIGHTS
    WU Yugen, HAN Yaqin
    Resources & Industries    2023, 25 (5): 86-95.   DOI: 10.13776/j.cnki.resourcesindustries.20231023.001
    Abstract25)      PDF(pc) (1310KB)(61)       Save

    Since 2010, central government has continuously reformed oil and gas system with issuing a few reform-plans such ecological civilization system reform plan, mining rights trading system reform plan, minerals loyalty system reform plan and oil-gas system reform plan. To execute central governmental policies, the administration of natural resources has reformed practice on marketized management of China ‘s oil-gas mining rights and has gained achievements. In order to further deepen the reform, to activate markets and to boost increasing oil-gas reserve and production so as to promote China ‘s oil-gas resource guarantee, this paper, based on a systematic review of marketized management of China ‘s oil-gas mining rights, summarizes the preliminary achievements gained in the oil-gas mining rights marketized management reform, and analyzes its new situation and challenges in diversified oil-gas investing markets, risks investment & market financing, expected return of investment, key technologies in exploration and development, oil servicing market and oil-gas exploration rights trading management, and present a reform plans from six aspects on conducting supportive polices to attract more investors in oil-gas up-stream market, expanding market financing channels to share its high-investment-high-risks of oil-gas industry, constructing the second order market of oil-gas exploration rights trading, improving oil-gas servicing market to support investors, boosting oil-gas exploration rights trading system, and unifying one big market which needs governmental and companies ‘ involvement. 

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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
    Abstract35)      PDF(pc) (1378KB)(59)       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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    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
    Abstract38)      PDF(pc) (1278KB)(57)       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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    SUITABILITY DIVISION OF “PRODUCTIONLIVINGECOLOGY” SPACE OF ORE-CROP COMPOUND AREA BASED ON 2-DIMENSIONAL GRAPHICAL CLUSTERING: A CASE STUDY ON CHENGUI TOWN, DAYE CITY, HUBEI PROVINCE
    SONG Furong, ZENG Xiangyang
    Resources & Industries    2023, 25 (4): 55-66.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.004
    Abstract49)      PDF(pc) (4307KB)(56)       Save
    Study on suitability division of “production-living-ecology” (PLE) space microscopically can provide references for town-level land planning and consolidation. This paper, based on a case of Chengui town, Daye city, Hubei province as a ore-crop compound area, establishes an evaluation index system of its PLE space suitability, and uses 2-dimensional graphic clustering to evaluate its suitability and division of “production-living-ecology” space in Chengui town. Chengui town's suitable PLE space has two blocks, one sparsely distributing along Chengui village, and the other concentrating in Tiantaishan district. Unsuitable PLE space is mainly distributing in the south and northeast, with other scattering as small blocks. From the perspective of the spatial suitability of the “production-living-ecology” in the village area of Chengui town,villages classified as suitable have a balanced development among PLE spaces, near governmental planning objectives in intensive production space, friendly living space and green ecological space. Mining activities play a influential role on its suitability of PLE space, adversely impacting ecological space, agricultural production and non-mining production, so decreasing social benefits of the ore-crop compound area, and possibly resulting in a lower overall spatial use level. This paper uses 2-dimensional graphic clustering to divide Chengui town's PLE space into 5 regions according to suitability evaluation and actual spatial use and rural-urban planning. Region I is the agricultural core zone concentrating with large areas of agricultural production. Region II is living core zone leading the future rural-urban integration. Region III is comprehensive developing potential zone with variety of land uses. Region IV is the core ecological protection area needing a coordinated development between mining space and ecological space. Region V is the ecological agricultural tourism are focusing on ecological agriculture directing ecological tourism.
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    NETWORK STRUCTURE AND FACTORS OF CHINA’S INDUSTRIAL CARBON EMISSION
    GUAN Wei, WANG Yong, XU Shuting
    Resources & Industries    2023, 25 (5): 40-49.   DOI: 10.13776/j.cnki.resourcesindustries.20231030.002
    Abstract55)      PDF(pc) (3227KB)(55)       Save

    Industry is a critical part of economy, and also a major source for carbon emission. This paper uses calibrated gravity model and social network method to analyze China ‘s 2005 to 2019 industrial carbon emission, and applies QAP to explore its factors. The overall network features suggest a rising spatial connection among provinces, who need to collaborate thoroughly toward energy-saving-emission-reducing. Eastern provinces/cities such as Jiangsu, Zhejiang, Shanghai and Tianjin are positioning in the centers of social networks with a more complicated connection, less difficulties in connecting other provinces and controlling more resources, while the central and western provinces are on the contrast. The eastern coastal provinces are at the centers, with their inner connection in the core higher than in the margin, but growing rate lower, suggesting an increasing inner connection inside the marginal areas. QAP regression results show that the five variables, industrialization, technology, energy intensity, industrial structure and energy industry, can promote spatial connection of industrial carbon emission from their variances. This paper presents suggestions on boosting regional cooperation, realizing regional collaboration, accelerating green transformation in terms of social network features and SAP regression.

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    TEMPORAL-SPATIAL EVOLUTION OF WATER WORKS RESORTS AND SPATIAL STRUCTURAL OPTIMIZATION OF WATER WORKS TOURISM IN YELLOW RIVER STREAM
    GUO Suting, DONG Shuxia, WU Yining
    Resources & Industries    2024, 26 (1): 61-74.   DOI: 10.13776/j.cnki.resourcesindustries.20240016.002
    Abstract27)      PDF(pc) (9340KB)(52)       Save

    This paper, aiming at promoting a coordinated development of water works tourism in Yellow River stream, uses gravity center standard deviation ellipse, kernel density and exploring spatial data analysis method to study the temporal-spatial evolution of water works resorts in 2009, 2014, and 2021 in Yellow River stream, and combines point-axis theory with central function index and gravity model to define the development nodes, axis and plates in water works tourism. Development of water works resorts in Yellow River stream has 3 stages. Resorts are spreading along E-W and S-N with gravity center shifting to southwest. Their distributing density shows scattering in the upper-stream and concentrating in the middle- and down-stream, high density concentrating areas are located along banks of Yellow River, Weihe River, Fenhe River and Qinhe River. Their spatial distribution generally displays a strongly positive correlation, high-high concentrating in Shandong province, low-low in Hehuang valley and partial Gansu province. Hotspots in Yellow River stream remain unchanged, while the cold spots are concentrating toward the upper-stream, and the sub-hotspots migrating to the northwestern middle-stream. Spatial structure after being optimized is composed of three levels of water works tourism development nodes, two levels of development axes and five development domains. This paper presents suggestions on differentiating domain variance, optimizing spatial pattern of water works tourism from construction status, water resources, geographic characteristics and social-cultural environment. And improving transportation, consolidating water works tourism, boosting radiation of node cities.

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    R&D INTENSITY, TAX INCENTIVE AND INNOVATIVE PERFORMANCE OF CHINA ‘S LISTED AGRICULTURAL COMPANIES: BASED ON RESOURCEBASED THEORY

    DU Xiaorong, LI Yufan
    Resources & Industries    2023, 25 (3): 121-132.   DOI: 10.13776j.cnki.resourcesindustries.20230426.005
    Abstract48)      PDF(pc) (1180KB)(49)       Save
    Agriculture is China‘s fundamental industry. Improving innovative ability of agricultural listed companies is the key to boosting agricultural modernization and developing rural areas.Resource is an important factor in companies‘ R&D and innovation. This paper uses resource-based theory to study the influence of R&D intensity of China‘s listed agricultural companies on their innovative performance and its mechanism,and incorporates tax incentive into model to reveal the relation between R&D intensity and innovative performance under different land resources, which can provide references for listed agricultural companies to make R&D strategy and improve innovative performance. This paper, based on the data of China‘s 2011 to 2020 A-listed agricultural companies, uses Hausman test and dual fixed effect model to study the relation between R&D intensity and innovative performance, and checks the mediation of tax incentive.Results show an upside-down U-shape relation, with most companies in the rising stage, boosted by the tax incentive. R&D intensity promotes innovative performance through precipitation of redundant resources, outstandingly in those companies with more land resources. Proper R&D intensity impacts the growth of listed companies ‘ innovative performance.This paper gives proposals for China‘s listed agricultural companies to boost regional R&D cooperation based on their resources and developing status,expand the space for agricultural multi-function and value-added efficiency, increase their R&D intensity to improve their innovative performance as a core competitiveness, but beware of over R&D intensity bringing negative impacts. Governments shall dynamically use tax policies to maximize its incentive.
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    RESEARCH ON INDUSTRIAL COLLABORATIVE PATH TO SOLVE THE PROBLEM OF ATMOSPHERIC POLLUTION COLLABORATIVE CONTROL——TAKE THE YANGTZE RIVER DELTA AS AN EXAMPLE
    Resources & Industries    2023, 25 (4): 67-77.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.009
    Abstract50)      PDF(pc) (1240KB)(48)       Save
    Atmospheric pollution collaborative harness in Yangtze River Delta is facing collective action plight and race to the bottom plight, mostly contributed by conflicts between single interests and collective objectives, regional collaboration and regional competition. Its solution must rely on the coordination between atmospheric pollution control and economic development, which can be balanced via industrial collaboration. This paper, by means of 41 cities' 2014 to 2019 data in Yangtze River Delta, uses single time fixed effect model to study the actual effects of industrial collaboration approaches in depressing atmospheric pollution and advancing economy from industrial scale expansion, industrial technical innovation and industrial structural optimization. Results show that industrial scale expansion boosts atmospheric pollution, but industrial technical innovation and industrial structural optimization work reversely, and industrial technology innovation and industrial structure optimization can suppress air pollution emissions caused by industrial scale expansion. The three factors can promote economy. Industrial scale expansion strongly boosts the sulfur dioxide emission, followed by PM2.5 and nitrogen dioxide. Industrial technical innovation strongly depresses the sulfur dioxide emission, followed by nitrogen dioxide and PM2.5, so does industrial structural optimization on the sulfur dioxide, followed by PM2.5 and nitrogen dioxide. Industrial structural optimization mostly enhances the economy, then industrial scale expansion and industrial technical innovation. The regions where industrial structure optimization plays a promoting role in economic growth from strong to weak are southern Zhejiang, northern Jiangsu, Anhui, and core. The regions in which industrial scale expansion plays a promoting role in economic growth from strong to weak are northern Jiangsu, core, southern Zhejiang and Anhui. The regions where industrial technology innovation plays a promoting role in economic growth from strong to weak are Anhui, southern Zhejiang, and the core.
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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
    Abstract101)      PDF(pc) (1627KB)(48)       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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    TEMPORAL-SPATIAL EVOLUTION OF COUPLING COORDINATION BETWEEN CHINA’S FIRST URBAN MODERNIZATION AND ECOLOGICALIZATION

    Liu Chenyue, Dong Tiandan, Hu Xinyu
    Resources & Industries    2023, 25 (5): 10-21.   DOI: 10.13776/j.cnki.resourcesindustries.20231120.001
    Abstract41)      PDF(pc) (1545KB)(48)       Save

    Aiming at exploring the relation between China ‘s first city ‘s modernization and ecologicalization, this paper, in accordance with the coupling principles of urban modernization and ecologicalization, uses 2008 to 2017 modernization and ecoloigicalization in China ‘s 31 first cities to establish a coupling coordination model which is employed to study their coupling coordination and spatial distribution of modernization sub-system and ecologicalization sub-system. First cities ‘ modernization and ecologicalization level spatially distributes variably, large spatial migrating viscosity, less cities of high ecologicalization level. Cities of middle levels are clustering. High values and middle-to-low values have internal polarization. Distribution of cities with higher levels is of convergence, most concentrating in the eastern and southern. First Cities of high coupling and coordination in modernization and ecologicalization are quite limited, most at high coupling and relatively coordinating stages. Beijing and Guangzhou are in tier 1 core zone with their coupling coordination spatial structure showing 2-classes-mulitple-cores status from south to north. The coupling and coordination of China ‘s first cities ‘ modernization and ecologicalization shows a rising trend in temporal evolution, with coupling raised to high level from bottom level, up to 70.97% in proportion, and with coupling grading to higher from intermediation, up to 87.10% to 77.42%. Its overall coupling level is still higher than coordination.

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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
    Abstract21)      PDF(pc) (1319KB)(48)       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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    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
    Abstract33)      PDF(pc) (1783KB)(46)       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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    INTERACTION BETWEEN INDUSTRIAL GREEN TRANSFORMATION & UPGRADING AND EMPLOYMENT STRUCTURAL OPTIMIZATION

    YANG Bingzhen
    Resources & Industries    2023, 25 (6): 53-63.   DOI: 10.13776/j.cnki.resourcesindustries.20230714.001
    Abstract35)      PDF(pc) (1467KB)(39)       Save

    To leverage the relation of green development with employment structural optimization and to fulfill functions of human resources allocation in increasing industrial total elements productivity have become a critical topic for economic quality development under the strategy of quality-to-power. This paper, based on 2011 to 2020 input/output and employment data of Jiangsu ‘s 13 prefectures, studies their green transformation/upgrading and employment structural changes, and uses PVAR model to analyze the interaction among productivity changes of green industrial total elements, employment structural advancing and rationalization. Jiangsu ‘s industrial green transformation & upgrading has made great progress, with a lack of rising power, at an annual growth rate at 0.74%, technical efficiency declining by 0.33% due to constraints by technical advances. Growth of input elements is outstandingly higher than the total elements productivity, suggesting industries still in an extensive state. Improving technical efficiency is the key factor for industries to promote industrial green transformation & upgrading. Jiangsu ‘s employment structural advancing and rationalization has a clear developing trend, but most prefectures are not at the same pace or both low. Imbalanced employment structural optimization and industrial green transformation & upgrading limits advancing technical efficiency. Industrial green transformation & upgrading plays a dual roles on employment structure, short-term destruction and long-term optimization, little on industrial green transformation & upgrading, but employment structural rationalization is of potential to boost industrial green transformation & upgrading at a contribution rate of 18.2%. Short-term employment structural advancing constrains rationalization, but the latter promotes the former, both at different pacing rates. Industrial green transformation & upgrading has a contribution rate at 80.5% to itself, lower rate to employment structural advancing and rationalization, at 11.2% and 8%, respectively. The mutual contribution rates between employment structural advancing and rationalization is much higher, up to 58.2%of employment structural advancing on rationalization. This paper presents suggestions actively adjusting employment structure to promote its rationalization and to reduce the impacts of industrial green transformation & upgrading on destroying employment structure and transferring labor passively, avoiding non-rationalization by advancing-oriented employment structure, and reaching employment structural optimization to boost industrial upgrading which is a sustainable path for economic development.

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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
    Abstract25)      PDF(pc) (1423KB)(37)       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
    Abstract39)      PDF(pc) (1371KB)(37)       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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    CHINA’S INDUSTRIAL WATER RESOURCE USE EFFICIENCY AND FACTORS UNDER CARBON EMISSION CONSTRAINTS

    TIAN Ze, WANG Haofei, REN Yangjun
    Resources & Industries    2023, 25 (5): 50-60.   DOI: 10.13776/j.cnki.resourcesindustries.20231102.002
    Abstract24)      PDF(pc) (2476KB)(37)       Save
    This paper uses non-desired dynamic DEA model, Dagum Gini coefficient, kernel density estimation and Tobit model regression to study China ‘s industrial water resource use efficiency and factors during 2010 to 2019. The results show that China ‘s industrial water resource use efficiency is generally at a middle level, in a waved rising trend over time, decreasing from eastern, western to central spatially. The overall variance of China ‘s industrial water resource shows a rising-then-falling trend, mainly contributed by the regionally internal differences. Economic development level and technical innovation largely promote China ‘s industrial water resource use efficiency, offset by elements occurrence of water resource. Industrialization and environmental regulations impact industrial water resource use efficiency, variable with areas.
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