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    20 December 2023, Volume 25 Issue 6

    CARBON EMISSION REDUCTION EFFECTS OF DIGITAL ECONOMIC DEVELOPMENT WITH ADJUSTMENT OF HETEROGENEOUS ENVIRONMENTAL REGULATION

    PAN Haiying, CHEN Ling, REN Jiajia
    2023, 25(6):  1-14.  DOI: 10.13776/j.cnki.resourcesindustries.20230724.001
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    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.

    NON-LINEAR EFFECTS OF GREEN FINANCIAL DEVELOPMENT ON CARBON EMISSION FROM PERSPECTIVE OF FINANCIAL ECO-ENVIRONMENT

    PAN Haiying, ZHANG Chen, YAN Xiang
    2023, 25(6):  15-30.  DOI: 10.13776/j.cnki.resourcesindustries.20230726.002
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    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.

    ALUMINUM RESOURCE DEMAND IN NEXT DECADE UNDER NEW INDUSTRIAL SITUATION 

    CUI Bojing, CHEN Qishen, WANG Kun, et al
    2023, 25(6):  31-40.  DOI: 10.13776/j.cnki.resourcesindustries.20230913.001
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    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.

    RE-UNDERSTANDING EXCESSIVE COAL PRODUCING CAPACITY BASED ON MEASUREMENT AND SPATIAL EVOLUTION OF LATENT CLASS RANDOM MARGINALIZATION (LCRM)

    JU Yanping, WANG Xinhua
    2023, 25(6):  41-52.  DOI: 10.13776/j.cnki.resourcesindustries.20230928.001
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    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.

    INTERACTION BETWEEN INDUSTRIAL GREEN TRANSFORMATION & UPGRADING AND EMPLOYMENT STRUCTURAL OPTIMIZATION

    YANG Bingzhen
    2023, 25(6):  53-63.  DOI: 10.13776/j.cnki.resourcesindustries.20230714.001
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    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.

    DECOUPLING STATUS STUDY ON SHAANXI ‘S ECONOMIC DEVELOPMENT AND ECO-ENVIRONMENTAL PRESSURE

    YANG Xiuping, LIU Lili, YANG Kaiming
    2023, 25(6):  64-76.  DOI: 10.13776/j.cnki.resourcesindustries.20230818.001
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    Economic development is mutually beneficial to environmental protection, marking a relation of human to nature, a necessity for sustainable development if harmonious, helpful to boost modern construction. This paper, aiming at a new path to and interaction between economic development and quality eco-environment, uses entropy to give weights to economic development and eco-environment, and establishes a weighted evaluation model and a decoupling model between the both, which is employed to study economic development ‘s coupling with eco-environmental pressure and temporal-spatial conversion of decoupling state. This paper analyzes their economic development level, eco-environmental development level and their temporal-spatial evolution of Shaanxi ‘s ten prefectures, studies their economic development ‘s coupling with eco-environmental pressure and decoupling state, focusing on annual coupling and decoupling dynamics, phased coupling and decoupling state. Improved Tapio decoupling model and GIS are used to discuss economic development ‘s coupling with eco-environmental pressure and temporal-spatial conversion of decoupling. Shaanxi ‘s economic development comprehensive index is stably waving, high in Guanzhong and northern Shaanxi, low in southern Shaanxi. Its eco-environmental comprehensive index is wavily rising, high in the southern, and low in the northern which has an active carbon emission. Annual decoupling between economic development and eco-environmental pressure is repeated, dynamic and non-sustainable, its phased decoupling shows a “U-shaped” feature. This paper presents theoretical references for Shaanxi ‘s ten prefectures to develop their economy, to relieve eco-environmental pressure and to reach sustainable development. 

    FDI, FINANCIAL PRESSURE AND GREEN TOTAL ELEMENT PRODUCTIVITY

    ZHU Ruirui, WANG Keliang, ZHANG Fuqin
    2023, 25(6):  77-90.  DOI: 10.13776/j.cnki.resourcesindustries.20231011.001
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    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.

    IMPACTS OF LOCAL GOVERNMENTAL BEHAVIORS ON INDUSTRIAL ENERGY ENVIRONMENTAL EFFICIENCY ALONG“THE BELT AND ROAD” PROVINCES/CITIES

    YANG Kaijun, WANG Wenxuan
    2023, 25(6):  91-104.  DOI: 10.13776/j.cnki.resourcesindustries.20230825.001
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    China has a big energy consumption during industrialization, leading to severe environmental pollution, which requires an improving energy use efficiency. This paper, based on the Belt and Road provinces/cities ‘ 2010 to 2020 industries, uses intrinsic growth theory and quality development demand to establish a global non-radial directional distance function (GNDDF), which is employed to estimate the industrial energy environmental efficiency along the Belt and Road provinces/cities. Tobit model is applied to study the inner connection of industrial energy environmental efficiency and local governmental interventions, local governmental economic competition, local governmental preference on innovation and on environmental protection, and to discuss the impacts of governmental behaviors on industrial energy environmental efficiency. Industrial energy environmental efficiency shows a distribution order of “oceanic silk road>average>the silk road economic zone”, and an order of “southeast line>southwest line>northeast line>average>northwest line” on the side lines. Local governmental economic interventions and economic competition adversely affect industrial energy environmental efficiency, but their preference on innovation and environmental protection work positively. When their interventions are decreasing in intensity, the impacts will largely switch from negative to positive, increasingly but not outstandingly. This paper presents suggestions on simplifying governance, empowering, optimizing local governmental functions for increasing industrial energy environmental efficiency.

    ECOLOGICAL COMPENSATION AND GOVERNMENTAL SUPERVISION UNDER POLLUTION INDUSTRIAL MIGRATION BASED ON SIGNAL GAMING OF COMPENSATION APPLICATION

    WANG Yufang, MA Xiaomin
    2023, 25(6):  105-114.  DOI: 10.13776/j.cnki.resourcesindustries.20230710.001
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    This paper, aiming at mitigating opaque information and policy loophole, uses compensation application as signal to establish a signal gaming model based on ecological compensation of local government under pollution industrial migration, which is applied to discuss its gaming balance under different conditions, and to analyze effective compensation mechanism of industrial migration sender to receiver, providing references for governmental ecological compensation and central governmental supervision. Complete success of separated balance as the premium solution exists, initiative compensation application is working in mitigating opaque information. Receiver shall consider to match ecological compensation in terms of its emission reduction, and sender shall accordingly give the compensation. Appropriate punishment is key to the balance in reaching a social premium balance when sender ‘s punishment meetsFt

    TEMPORAL-SPATIAL FEATURES AND IMPACTS OF PLANTING AGGLOMERATION AND AGRICULTURAL AREA POLLUTION WITH EVIDENCES FROM YANGTZE RIVER STREAM

    MA Jun, DAN Zengweidan, GAO Huixian
    2023, 25(6):  115-129.  DOI: 10.13776/j.cnki.resourcesindustries.20230726.003
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    Rural revival is a pivot strategy to support quality development of China ‘s agricultural economy, of which planting agglomeration is the key step in optimizing rural layout, increasing agricultural structure and pushing agricultural development. To booster a green quality development of planting, this paper uses Gini coefficient, locality entropy and listing to estimate 2007 to 2020 planting agglomeration levels and agricultural area pollution emission of 19 provinces/cities in Yangtze River stream, and to analyze their temporal-spatial changing rules which are tested by means of spatial Dubin model and threshold model. Planting agglomeration differs from temporal-spatial distribution and changes of agricultural area pollution, with dominant agricultural production of obviously regional agglomeration, and steadily rising, variable in provinces/cities. Its agricultural area pollution has outstandingly spatial positive correlation, easily worsened by economy distance more than by geographical distance. Its striking positive spatial overflowing impacts the local environment and economy as well. A threshold effect exists in the impacts of planting agglomeration on agricultural area pollution, diminishing with rising agricultural economy. Agricultural area pollution is aggravated by rural population scale, economy and urbanization in Yangtze River stream, but improved by agriculturally technical advances and financial supports, little impacted by environmental regulations. This paper presents suggestions on optimizing spatial pattern of planting agglomeration to increase its quality, enhancing regional collaboration in controlling agricultural area pollution, pushing agricultural economy to mitigate agricultural area pollution via planting agglomeration, and appropriately using governmental funds and intensifying agriculturally environmental regulations to promote green planting.

    DECOUPLING BETWEEN TOURISM CARBON FOOTPRINT AND INCOME IN JIANGSU ‘S YANGTZE RIVER ECONOMIC ZONE

    WANG Yao, ZHANG Beiying
    2023, 25(6):  130-137.  DOI: 10.13776/j.cnki.resourcesindustries.20230809.001
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    This paper, based on tourism and forest data of Jiangsu ‘s 8 coastal cities, uses “up-to-down” method to estimate carbon emission of tourism, and employs tourism carbon footprint and carrying capacity model to study the changes of tourism carbon footprint, carbon carrying capacity and carbon deficit of Jiangsu ‘ Yangtze River economic zone during 2016 to 2020, and employs decoupling theory to analyze their coordination between tourism carbon emission and tourism economic growth. The results show that its gross tourism carbon footprint and carbon carrying capacity have been increasing during 2016 to 2019, and decreasing during 2019 to 2020. Domestic and global tourism footprints are consistent with total changes. Tourism carbon deficit has been rising during 2016 to 2019, and falling in 2020. Tourism carbon footprint per capita displays a trend of “up-down-up”, like N-shaped. The changing trend of domestic tourism carbon footprint per capita is consistent with its gross, while the that of overseas has a changing trend of alike “√”.Tourism carbon carrying capacity per capita shows a “W-shaped” change. Tourism carbon deficit per capita has increased to 152.4kg/person in 2020 from 135.7kg/person in 2009 at a fast growing rate. Relation of tourism carbon emission with tourism income in Yangtze River economic zone during 2016 to 2020 is, in order, weak decoupling, expansive coupling, expansive coupling, weak decoupling and declining coupling, a non-coordinated development. This paper presents suggestions for Jiangsu ‘s Yangtze River economic zone on properly developing tourism resources, ensuring tourism eco-system security, abiding by resort ecological carrying capacity threshold, using flow-limiting and flexible entering time, advocating low carbon tourism, increasing forest carbon sink, planning carbon emission of travel agencies and hotels, and timely controlling tourism carbon emission decoupling status and levels.
    ECOLOGICAL COMPENSATION HETEROGENEITY OF XINJIANG‘S  FARMLANDS BASED ON ECOLOGICAL FOOTPRINT MODEL
    MA Xuemeng, ZHAO Jun
    2023, 25(6):  138-149.  DOI: 10.13776/j.cnki.resourcesindustries.20230726.001
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    This paper uses modified ecological footprint model to study farmland ecological deficit and excess in Xinjiang, estimates its ecological footprint with biological resource footprint and carbon footprint incorporated, the result has a difference with farmland ecological carrying capacity which is farmland ecological excess/deficit. This paper applies ecological servicing non-market value model, consistent with paying capability, and employs Type-S growth curve modified coefficient to quantify 2010 to 2020 farmland ecological compensation of Xinjiang ‘s 14 prefectures. Influenced by production and carbon sequestration capability, ecological footprint is higher in Tulufan, Kashi and Yili ‘s farmlands, the latter two with a larger supply capacity have a stronger ecological carrying capacity. Ecological deficit or excess exists in the southern and northern Xinjiang, where has a severer ecological deficit, most in Tulufan. Non-market values of unit farmland ecological servicing generally have a consistent trend in 2010 to 2020, declining over years. Impacted by excess/deficit area and non-market values of unit farmland ecological servicing, farmland ecological compensation has a falling-then-rising trend, 2813 million CNY needed to be paid to Tulufan in 2020, and 1303 million CNY to Yili. This paper presents suggestions on developing green agriculture to decrease carbon footprint, properly estimating farmland ecological compensation standard, and establishing a more appropriate farmland ecological compensation mechanism in terms of farmland ecological compensation standards, ways, fund sources and receivers ‘ priorities.

    EMPIRICAL STUDY ON SYMBIOTIC EVOLUTION OF ADVANCED MANUFACTURING AND PRODUCTIVE SERVICING IN SICHUAN-CHONGQING AREA

    HUANG Dingxuan, WANG Mengyuan, TAN Binqiang, et al
    2023, 25(6):  150-162.  DOI: 10.13776/j.cnki.resourcesindustries.20230814.001
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    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.