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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
    Abstract107)      PDF(pc) (1323KB)(266)       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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    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
    Abstract104)      PDF(pc) (1174KB)(101)       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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    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
    Abstract100)      PDF(pc) (3257KB)(109)       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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    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
    Abstract98)      PDF(pc) (1756KB)(122)       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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    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
    Abstract98)      PDF(pc) (1358KB)(178)       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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    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
    Abstract81)      PDF(pc) (1369KB)(84)       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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    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
    Abstract80)      PDF(pc) (8058KB)(248)       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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    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
    Abstract79)      PDF(pc) (3975KB)(124)       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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    COUPLING COORDINATION BETWEEN PLAIN RESERVOIR SERVICING VALUES AND REGIONAL HIGH-QUALITY DEVELOPMENT IN SOUTH-NORTH WATER DIVERSION PROJECT: A CASE STUDY ON DEZHOU'S DATUN RESERVOIR, SHANDONG PROVINCE
    ZHANG Jie, REN Yufei, HU Zhouhan
    Resources & Industries    2023, 25 (4): 41-54.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.008
    Abstract66)      PDF(pc) (1509KB)(40)       Save
    This paper, aiming at the servicing values of ecological water conservancy engineering and its coupling coordination with regional high-quality development, based on a case of Dezhou's Datun Reservoir and its water-receiving areas, Shandong province, on the basis of selecting Datun Reservoir and Dezhou city related statistical data ,establishes an index system to estimate Datun Reservoir's servicing values, and constructs an index system to evaluate the regional high-quality development. A coupling coordination model is built between the both to study their coupling coordination. Datun Reservoir's servicing values are mainly marked by its water supply and ecological environment. Its engineering servicing values in 2009 has increased by 206.949 million yuan since 2013, up 64.66%. Its comprehensive index of servicing values during 2013 to 2019 has been up fluctuatingly, to 0.60 in 2019 from 0.26 in 2013. Dezhou's comprehensive index of high-quality development has been down fluctuatingly, to 0.52 in 2019 from 0.54 in 2013.The high-quality development level of Dezhou city from 2014 to 2017 is relatively low, while the rest years are in the general stage of regional high-quality development. The coupling coordination degree between the service value of Datun Reservoir and the high-quality development of Dezhou showed a trend of fluctuating upward, and the coupling coordination degree value fluctuated from 0.61 in 2013 to 0.75 in 2019, so their relative development degree also showed a trend of fluctuation rising, and the relative development degree value increased from 0.49 in 2013 to 1.15 in 2019. It concludes that Datun Reservoir's servicing values have formed a benign interaction with Dezhou's high-quality development, but leaving their coupling coordination a room for improvement.
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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
    Abstract65)      PDF(pc) (3227KB)(82)       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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    RESEARCH ON INDUSTRIAL COLLABORATIVE PATH TO SOLVE THE PROBLEM OF ATMOSPHERIC POLLUTION COLLABORATIVE CONTROL——TAKE THE YANGTZE RIVER DELTA AS AN EXAMPLE
    MIAO Pu, ZHANG Ning, TIAN Ze, DING Chenhui
    Resources & Industries    2023, 25 (4): 67-77.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.009
    Abstract61)      PDF(pc) (1240KB)(57)       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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    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
    Abstract58)      PDF(pc) (1302KB)(108)       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
    Abstract57)      PDF(pc) (1575KB)(74)       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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    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
    Abstract57)      PDF(pc) (1371KB)(69)       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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    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
    Abstract55)      PDF(pc) (4307KB)(59)       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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    CASE STUDY ON GLOBAL MINING: WATER INFORMATION DISCLOSURE ELEMENTS AND FEATURES OF WATERSENSITIVE FIRMS BASED ON QUALITATIVE ANALYSIS

    LI Qing, WANG Fei
    Resources & Industries    2023, 25 (5): 122-133.   DOI: 10.13776/j.cnki.resourcesindustries.20230908.002
    Abstract51)      PDF(pc) (2638KB)(32)       Save
    Water resource shortage worldwide makes water information disclosure of water-sensitive firms a hot point. Elements and features of water information disclosure are a vital means for firms to transmit water resource operation, social responsibilities and sustainable development strategy to governments, society and stakeholders. This paper, based in 2021 water information disclosure from global top 40 mining firms ‘ sustainable development reports, uses qualitative method via NVivo software to study key words frequency, coding classification, matrix and clustering of firms ‘ water information disclosure, and to analyze it elements and features of water-sensitive mining firms. Firm ‘s water information disclosure mainly covers 3 aspects, 15 topics, regarding water resource management, stakeholders and environmentally sustainable development. Information disclosure focuses on firm ‘s water resource and operation, little on indirect stakeholders ‘ demands. Global firms ‘ attention on water management compliance, strategy and performance, employee involvement and external cooperation varies. This study presents theoretical reference and suggestions for water-sensitive firms to further improve water information standards and quality.
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    RE-UNDERSTANDING EXCESSIVE COAL PRODUCING CAPACITY BASED ON MEASUREMENT AND SPATIAL EVOLUTION OF LATENT CLASS RANDOM MARGINALIZATION (LCRM)

    JU Yanping, WANG Xinhua
    Resources & Industries    2023, 25 (6): 41-52.   DOI: 10.13776/j.cnki.resourcesindustries.20230928.001
    Abstract50)      PDF(pc) (1265KB)(35)       Save

    Excessive producing capacity of coal industry is wasting resources, harmful to a green, efficient and safe energy system. Utilization rate of producing capacity is a key indicator to mark the excess of producing capacity, measuring it will be helpful to tell the excess degree of coal producing capacity and its developing trend, which provides references for authorities to make producing capacity policies and for coal producers to make market strategies. China ‘s coal resource is heterogeneously distributing with different burying geology, which determines its regional developing difference. The past measurements ignored its impacts on utilization rate of producing rate. This paper uses LCRMA to measure 2001 to 2017 utilization rate of coal producing capacity in China ‘s 24 provinces, classifies coal provinces into 4 groups, abundant type, moderate type, insufficient type and exhausted type in terms of the intrinsic variance of mining conditions, and applies spatial counting model to study their spatial evolution of utilization rate of producing capacity in these four groups. Utilization rate of coal producing capacity shows a rising-falling trend during the study period, average at 0.82, with excessive producing capacity varying with groups. Production in insufficient type and exhausted type is approaching the producing margin, suggesting a limited room to improve their utilization rate of producing capacity. Utilization rate of producing capacity in moderate type is average at 0.63, meaning an excessive producing capacity. Factors impacting utilization rate of producing capacity vary with groups. Economy works adversely, but positively on groups with abundant resources, advanced technologies and most large coal bases, indicating expanded producing capacity induced by economic growth ignores quality. Utilization rate of producing capacity is sensitive to changes of market demands, a growing demand is favorable for improving utilization rate of producing capacity. Spatialβconditional convergence exists in utilization rate of coal producing capacity, suggesting industrial migration helpful to spatially increase utilization rate of producing capacity, contributing to a diminishing regional difference. This paper presents suggestions on enhancing infrastructural construction and research inputs in western and new producing bases, accelerating quit and consolidation of lagging producing capacity in central, exerting the key “survival of fittest” role of market in coal producing capacity, actively directing human and management resources in insufficient and exhausted groups to abundant and moderate types so as to reach a quality development of coal industry.

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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
    Abstract48)      PDF(pc) (1783KB)(77)       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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    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
    Abstract48)      PDF(pc) (2963KB)(83)       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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    ENVIRONMENTAL EFFICIENCY AND FACTORS OF NODE CITIES ALONG CHINA’S SILK ROAD ECONOMIC BELT

    CHEN Wenlie, LI Yanli
    Resources & Industries    2023, 25 (5): 1-9.   DOI: 10.13776/j.cnki.resourcesindustries.20231012.001
    Abstract48)      PDF(pc) (1200KB)(47)       Save
    This paper uses DEA model containing environmental pollution data to measure the environmental efficiency of node cities along China ‘s Silk Road Economic Belt During 2010 to 2020. The results show that ten node cities are low in overall environmental efficiency, largely variable among eastern, central and western, marking a necessity for regional emission reduction and across-regional cooperation boosted by environmentally technical advances.  Environmental efficiency gap in eastern and central node cities is diminishing to the same level.  This paper applies Tobit model to analyze the factors of environmental efficiency, which is promoted by economic scale, international trade and technical advances, little by industrial structure and regional features. This paper presents suggestions on reducing pollution emission and on increasing China ‘s environmental efficiency.
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    THE ECONOMIC IMPACTS AND VARIATIONS IN ENERGY STRUCTURE ADJUSTMENT UNDER CARBON NEUTRALITY TARGET IN THE YANGTZE RIVER DELTA REGION

    WANG Lixiang, WANG Jianmin
    Resources & Industries    2024, 26 (1): 25-34.   DOI: 10.13776/j.cnki.resourcesindustries.20240016.001
    Abstract48)      PDF(pc) (1265KB)(45)       Save

    The 20th Report presented an objective of carbon peaking and neutralization. Energy structural adjustment is a vital means to reach carbon neutralization. This paper, based on their symbiosis of carbon emission and economic growth, incorporates economic quality development into carbon neutralization objective. In terms of their 2017 inputs/outputs of three province and one city in Yangtze River delta, this paper establishes a regional macro- and microscopic SAM table and CGE model, and sets up a macroscopic economic closed system, which are used to study the impacts and variance of energy structural adjustment on Yangtze River delta’s economy. As energy structural transformation advances, its economic impacts vary. In Jiangsu province, when clean energy has been replaced at 5%, 10%, 15% and 20%, the economic impacts of multiple indicators gain a biggest loss at 5%, loss at 10% less than at 5% and 15%. Economic dependance on fossil fuels varies with location, less in Anhui and Shanghai, then Jiangsu, and Zhejiang receives the biggest impacts. Economic impacts waves as energy structural adjustment moves forward. When Jiangsu’s clean energy is replaced at 10%, economic impacts of most indicators from agricultural, manufacturing, servicing, GDP and governmental income are less than when clean energy is replaced at 5% and at 15%. Energy structural adjustment is a critical approach to carbon neutralization in Yangtze River delta and even nationwide.

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    CONSTRUCTION OF COMPUTABLE RURAL-URBAN HOUSEHOLD CARBON ACCOUNT FRAMEWORK NESTED IN URBAN CARBON ACCOUNT

    LIU Gengyuan, WANG Lina, GAO Yuan, et al
    Resources & Industries    2024, 26 (2): 1-12.   DOI: 10.13776/j.cnki.resourcesindustries.20240304.003
    Abstract48)      PDF(pc) (2129KB)(38)       Save

    Household as the basic social unit is the major consuming entity. Carbon emission responsibilities established on consumption end are helpful to clarify the stakeholder-based dynamic mechanism for carbon reduction.  The present personal carbon management has a lot of issues, with unclear carbon emission boundary, complex personal carbon trading, personal carbon reduction entangling, and lack of stable management system, which can be resolved if household end as the trading base with urban-rural household carbon account being the core. This paper aims at establishing household carbon account framework on the basis of account range, margin, measurable methods and expandable linkage between urban carbon account and personal carbon sink. This paper summarizes the research situation of personal carbon account and household carbon account, and establishes a urban-rural household carbon account system including three sub-accounts of asset, equity and debits, and determines the measure margin, sampling method and calculation of household carbon account based on China’s featured carbon emission management system. Linkage of urban-rural household carbon account to urban carbon account has been further explained, and its methods have also been designed. Relation between urban-rural household carbon account and  individual carbon inclusion is differentiated. Combination of household carbon account with carbon market, visible hand carbon quota market with invisible hand carbon reduction equity market provides a new path for household consumption end carbon reduction, which may avoid overlapping responsibilities and easily link to China’s carbon management system. Urban-rural household carbon account can be a vital tool for China’s carbon management and carbon reduction, supporting carbon emission quota allocation, carbon reduction and trading, incentive mechanism design for carbon inclusion and mobilization of multi-level nested carbon reduction systems in cities.

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    CHINA’S 2012 TO 2021 INDUSTRIAL DEVIATION BASED ON IMPROVED THEIL INDEX AND SHIFT-SHARE MODEL
    GAO Xiaowei, ZHANG Yingkun, LI Hua, et al.
    Resources & Industries    2024, 26 (1): 15-24.   DOI: 10.13776/j.cnki.resourcesindustries.20231212.002
    Abstract46)      PDF(pc) (1369KB)(35)       Save

    Overviews over references reveal that defects are existing in traditional industrial deviation E coefficient, Theil Index and Shift-Share model. Defects in E coefficient and Theil Index are in calculating principles, and those in Shift-Share model are in rationality of selecting reference system and feasibility of data collection. This paper presents an improved model that is used to study China’s 2012 to 2021 industrial deviation via cases. It concludes that China’s industrial deviation is diminishing. According to the corrected model and combined with the current global environment, this paper suggests that the first industry rely on scientific innovation to promote rural labors’ orderly migration between urban and rural areas and to materialize agricultural scale and modernization, that the second industry needs to be upgraded to reach and maintain an independent and complete industrial system, to inputs more in basic research to outbreak western technical blockage, that the third industry be focusing on financing and scientific education, increasing Hongkong, Shanghai and Beijing’s positions in world financing center, using financial innovation to avoid unfavorable constraints and impacts from global financing system, practicing the strategy for invigorating the country through science and education and exploring educational modes appropriate China’s situation from primary school to university stages.

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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
    Abstract45)      PDF(pc) (1467KB)(51)       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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    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
    Abstract44)      PDF(pc) (1545KB)(69)       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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    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
    Abstract42)      PDF(pc) (1278KB)(70)       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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    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
    Abstract41)      PDF(pc) (1378KB)(78)       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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    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
    Abstract41)      PDF(pc) (2358KB)(120)       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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    SPATIAL IMBALANCE AND DYNAMIC EVOLUTION OF CHINA’S LOW-CARBON ENERGY CONSUMPTION STRUCTURE

    MA Hailiang, GAO Jie, JIN Ruiqi et al.
    Resources & Industries    2024, 26 (1): 113-123.   DOI: 10.13776/j.cnki.resourcesindustries.20231212.001
    Abstract41)      PDF(pc) (1529KB)(40)       Save

    It is a key step to study China’s low-carbon energy consumption structural trend and to measure its spatial imbalance in advancing energy reform and green development. This paper, based on 2003 to 2020 energy consumption panel data of Chinese provinces/cities, uses Theil Index and spatial auto-correlation to study spatial imbalance and dynamic evolution of China’s low carbon energy consumption structure. The low carbon index of China’s energy consumption structure generally shows a rising trend, up 5.862 in 2020 from 5.298 in 2003. The spatial imbalance of China’s low carbon energy consumption structure is weak, in a rising-then-declining trend indicated by Theil Index. Regional low-carbon energy consumption structure variance largely impacts the overall difference. China’s low-carbon energy consumption structure is of obvious spatial positive correlation with spatial concentrating effect, relatively stably in overall spatial pattern, high-high concentrating in Jiangsu-Zhejiang-Shanghai, weak-weak in southwest and central China. This paper presents suggestions on constructing regional interest union by mutually cooperation, on advancing industrial structure to stimulate social innovation and market, and on optimizing energy industry structure to push energy consumption transformation.

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    A CASE STUDY ON MIDDLE STREAM CITY CLUSTER IN YANGTZE RIVER:DOES URBAN SPATIAL MORPHOLOGY IMPACT URBAN LAND USE EFFICIENCY?
    XIANG Dongliang, HE Yingsi
    Resources & Industries    2023, 25 (5): 22-39.   DOI: 10.13776/j.cnki.resourcesindustries.20231030.001
    Abstract40)      PDF(pc) (3390KB)(49)       Save
    Study on the impacts of urban spatial morphology on land use efficiency is significant to manage urban spatial morphology and to promote urban land highly efficiently use. This paper uses scenic pattern indicator to measure its sole centrality, fragmentation, irregularity, expansion and concentration of urban spatial morphology in Yangtze Rive middle stream city cluster in 2000, 2005, 2010 and 2018, and to analyze the temporal-spatial evolution of urban spatial morphology, and applies random front production function model to estimate the urban land use efficiency, and employs  FGLS model to test stability of original models via GMM model and to discuss the impacting mechanism of urban spatial morphology on urban land use efficiency. Its urban spatial morphology shows sole centrality, diminishing irregularity, increasing fragmentation, expansion and concentration, suggesting a linearly rising land use efficiency, with most median approaching to quartile, to an outstanding convergence. When cities are expanding, advantages of sole centrality of urban spatial morphology will be decreasing, leading to issues like oversized population, limited resources and environmental pollution. Highly fragmentation will result in fragmented scenes, highly polluted water and reduced ecological servicing, unfavorable for urban land use efficiency. Urban internal blocks show continuous but regular shapes, favorable for decreasing traffic network construction costs, and then promoting the spatial externality of urban land use efficiency. Construction land size can boost urban land use efficiency through producing concentrating effect, economic stimulation and increasing producing capacity, increasing urban spatial concentration can promote interaction among lower levels and reduce resource consumption.
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    MECHANISM OF ECONOMIC TRANSFORMATION ON INCREASING GREEN DEVELOPMENT EFFICIENCY IN RESOURCES-BASED AREAS: A CASTE STUDY ON SHANXI PROVINCE
    LI Huitao
    Resources & Industries    2024, 26 (1): 100-112.   DOI: 10.13776/j.cnki.resourcesindustries.20240018.001
    Abstract39)      PDF(pc) (1732KB)(49)       Save
    Chinese-style modernization requires resources-based areas improve green development efficiency through economic transformation. This paper gives a summary of contents of economic transformation and green development efficiency in resources-based areas, and uses economic growth theory to study the mechanism and impacts of economic transformation on green development efficiency in resources-based areas, and employes non-desired-output super-efficiency SBM-Malmquist model and broken-tail regression model to study Shanxi’s 2004 to 2020 green development efficiency changes, and its mechanism of economic transformation on green development efficiency. It concludes that Shanxi’s economic transformation promotes its green development efficiency, mainly through adjusting industrial structure, saving energy and reducing consumption and advancing technology, little though its private economic development and infrastructures. This paper presents suggestions on enhancing & supervising private firms’ green transformation, implementing leading roles of transportation and communication, optimizing green technical innovation system and deepening market reform and management.
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    NEW URBANIZATION AND GRAIN SECURITY IN MAJOR GRAIN PRODUCING AREAS BASED ON MEADIATING EFFECTS OF LAND SCALING OPERATION
    HUA Jian, YANG Mengyi, CAO Huimin
    Resources & Industries    2024, 26 (1): 50-60.   DOI: 10.13776/j.cnki.resourcesindustries.20231213.001
    Abstract39)      PDF(pc) (1452KB)(20)       Save
    New urbanization has become the key means to reform urban-rural dual structural and to transform agricultural producing ways in major grain-producing areas under the new era developing background. This paper, based on 2007 to 2021 provincial panel data of China’s 13 major grain-producing areas, uses entropy to estimate China’s grain security level from perspective of industrial chain, applies new urbanization contents to establish a multiple-dimensional index system that is composed of population, economy, society and space, which is employed to estimate the new urbanization level and to study its impacts on grain security, and applies land scaling operation as mediating variable to study the mechanism of new urbanization and its dimensions on grain security. New urbanization largely boosts grain security in major grain-producing areas, and land scaling operation plays a mediating effect amid new urbanization works on grain security. Dimensional heterogeneity suggests that population urbanization and spatial urbanization play an outstandingly positive role on grain security, during which land scaling operation plays a partial or total mediating effect. This paper presents suggestions on boosting new urbanization, and encouraging land scaling operation, and making appropriate strategy from population, economy, society and spatial urbanization as a long-term approach for the major grain-producing areas.
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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
    Abstract37)      PDF(pc) (1319KB)(92)       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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    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
    Abstract37)      PDF(pc) (1307KB)(33)       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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    DOES ECOLOGIC INNOVATION IMPACT ENTERPRISES' ACTUAL TAXING BURDEN?
    HU Yuanlin, WEI Yutan
    Resources & Industries    2023, 25 (4): 78-92.   DOI: 10.13776/j.cnki.resourcesindustries.20230717.011
    Abstract37)      PDF(pc) (1220KB)(29)       Save
    This paper, aiming at the impacts of ecological innovation on enterprises' actual taxing burden, uses China's A-share manufacturing enterprises' 2010 to 2019 data to construct a theoretical framework of “ecological innovation-enterprise reputation-enterprise taxing burden” from perspective of taxing stimulation, and applies fixed effect model to study the impacts of ecological innovation on manufacturing enterprises' actual taxing burden, and to analyze the mediation of enterprise reputation between ecological innovation and actual taxing burden, and the moderating role of environmental regulation between ecological innovation and actual taxing burden of the enterprise, offering references for Chinese government to guide and stimulate enterprises on ecological innovation. Enterprises can largely decrease its actual taxing burden from ecological innovation, down by 1.13% if innovative level up by 1%, especially in the enterprises in manufacturing industries with low and moderate pollution and in private sector. Enterprises can promote their reputation through ecological innovation, up by 23.15% if innovation level up by 1%.Enterprise reputation plays a partial mediating role between enterprise ecological innovation and actual tax burden. The test shows that enterprises' actual taxing burden will decrease to 1.01% from 1.13% on ecological innovation after reputation incorporated. Mediation effect of enterprises' reputation has a proportion at 7.05% to the total effect of ecological innovation to actual taxing burden. Environmental regulation plays a negative regulating role between enterprises' ecological innovation and their actual tax burden. The research shows that the interaction term coefficient between environmental regulation and enterprise ecological innovation is -0.5%, and is significant at the level of 1%, indicating that environmental regulation strengthens the negative impact of enterprise ecological innovation on the actual tax burden of enterprises. 
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    TEMPORAL-SPATIAL ANALYSIS AND OPTIMIZATION STRATEGIES OF HIDDEN CARBON EMISSION OF SHANXI CROSS-PROVINCIAL TRADE
    LIANG Jinghua
    Resources & Industries    2024, 26 (1): 173-181.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.003
    Abstract36)      PDF(pc) (1555KB)(33)       Save

    Hidden carbon emission in cross-provincial trade has vital impacts on regional gross carbon emission and coordinated development, a key factor needed to be considered when planning carbon trade and reaching carbon peaking and carbon neutralization objectives. This paper uses multiple regional input/output model on hidden carbon in cross-provincial trade and China’s 2012 and 2017 input/output data to study the temporal-spatial changes of hidden carbon emission of Shanxi cross-provincial trade, and employes carbon-transferring-responsibility-sharing to estimate Shanxi’s responsibilities in hidden carbon emission amid its cross-provincial trade, and applies structural method to analyze the factors impacting hidden carbon emission changes in Shanxi’s cross-provincial trade. Shanxi’s net-transferred-in hidden carbon emission has increased by 12.490 kt during 2012 to 2017, while its net-transferred-in provinces numbers dropped to 25 from 28. Those having less net-transferred-out are concentrating in northwestern and southwestern China. Structural analysis suggests scaling effect be the leading factor increasing transferred-in and -out of Shanxi’s hidden carbon emission. This paper presents suggestions on optimizing Shanxi’s hidden carbon emission policies of its cross-provincial trade.

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    EVOLUTIONARY GAMING ANALYSIS ON ECOLOGICAL COMPENSATION OF WATER TRANSFERRING PROJECTS BASED ON MULTIPLE STAKEHOLDERS
    LIU Linling, LIU Hongqin, TAN Lifeng
    Resources & Industries    2024, 26 (1): 154-161.   DOI: 10.13776/j.cnki.resourcesindustries.20240026.001
    Abstract33)      PDF(pc) (1319KB)(39)       Save
    Highly-frequent extreme weather catches all eyes on eco-environment. A coordinated and sustainable development between human and nature is an unavoidable way to China’s high-quality development. Water transferring projects are designed to mitigate water resource imbalance among areas, and water transferring projects trans-streams may involve multiple stakeholders, that makes ecological compensation a necessary guarantee for their sustainable development. This paper, based on a case study on Niulan River-Dianchi Water Replenishing Project, establishes a gaming model, macroscopically and microscopically, to study multiple stakeholders’ gaming mechanism regarding ecological compensation situation and issues. Macroscopically, spontaneous gaming between water-supplying areas and water-receiving areas can not reach a ecologically evolutionary balance, which needs to be intervened by upper administration on complaining cost, allowance and anticipated valuation of water-supplying areas. Microscopically, evolutionary gaming among governments, firms and the public is influenced by harness fee, governmental compensation and punishment strength. Simulation of Niulan River-Dianchi Water Replenishing Project indicates an evolutionary trend of protection of Niulan River, uncompensated Dianchi, and no supervision from upper administration. Dianchi is impacted by its compensation and complaining, and upper administration is impacted by punishment fines for Dianchi and higher administration’s and costs. This paper presents suggestions on widening financing ways, improving complaining-responding system, adopting governmental supervision and control amid water-transferring projects’ ecological compensation for their sustainable development.
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    EVALUATION OF COUNTY DOMAIN CARBON SEQUESTRATION CAPACITY BASED ON INVEST MODEL
    YU Shuyi, TIAN Tao, DU Ganlin. et al
    Resources & Industries    2023, 25 (5): 134-141.   DOI: 10.13776/j.cnki.resourcesindustries.20231017.002
    Abstract33)      PDF(pc) (2889KB)(29)       Save

    County domain is China ‘s vital administrative units. Research of its carbon sequestration capacity can detail its ecological carbon sequestration status and provide references for authorities to make decisions. This paper employes biological volume and InVEST model, the two common ways in carbon sequestration, to estimate carbon reserve and density in Luqiao district, Taizhou city, Zhejiang province, and compares their carbon sequestration levels in county domains and in towns. Luqiao district ‘s carbon reserve is estimated at 186037.44t by biological volume, and at 1580777.19t by InVEST model, which includes that in soils, contributing to the variance. Carbon density, estimated by the two ways, is similar in geographically distributing, suggesting its carbon sequestration capability be high in western, followed by southern and low in central-northern. This paper presents references for county domains to develop resources and to protect ecological environment.

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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
    Abstract33)      PDF(pc) (1204KB)(93)       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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    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
    Abstract33)      PDF(pc) (1423KB)(64)       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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