Table of Content

20 April 2023, Volume 25 Issue 2

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MPACTS OF TECHNICAL INNOVATION ON GREEN TOTAL FACTOR PRODUCTIVITY BASED ON ADJUSTMENT OF INDUSTRIAL AGGLOMERATION

YIN Qingmin, JIN Wanting

2023, 25(2):  1-10.  DOI: 10.13776/j.cnki.resourcesindustries.20230309.002

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

IMPACTS OF WATER RESOURCE CONSTRAINTS ON GREEN DEVELOPMENT EFFICIENCY IN YANGTZE RIVER ECONOMIC ZONE BASED ON MEDIATION AND INTERACTION OF INDUSTRIAL STRUCTURAL ADJUSTMENT

YANG Kaijun, DUAN Tingting

2023, 25(2):  11-22.  DOI: 10.13776/j.cnki.resourcesindustries.20230309.003

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Aiming at the quality green developing in Yangtze River economic zone, this paper uses water resource element as the core to study the impacts of water resource allocation on green efficiency development, and to clarity the roles of industrial structural adjustment during water resource element impacts green efficiency development. By means of 2003 to 2020 panel data, this paper uses super-efficiency SBM (slack-based measure) to estimate its green development efficiency and studies the impacts of three constraints, gross water resource, water use efficiency and water resource quality on green development efficiency in Yangtze River economic zone, and verifies the mediating effect and interaction of three industrial structural adjustment dimensions with water resource, industrial structural rationalization, sophistication and softening. Water use efficiency in water resource constraints positively plays a major role on its green development efficiency, deceasing from upper- to down-stream. Industrial structural softening plays a mediating role, and industrial structural sophistication also plays a mediating role during gross water resource impacts green development efficiency in the upper-stream. In the down-stream, both water use efficiency and water resource quality play a mediating role amid green development efficiency. In the entire Yangtze River stream an interaction exit among water use efficiency, industrial sophistication and softening, and between water constraint and industrial structural rationalization. Interaction prevails in the down-stream, it also exists between water use efficiency and industrial structural rationalization & softening, and between water constraint and industrial structural rationalization, sophistication & softening.

IMPACTING MECHANISM OF INDUSTRIAL CO-AGGLOMERATION ON GREEN TECHNICAL INNOVATION IN YANGTZE RIVER ECONOMIC ZONE BASED ON MEDIATION OF TAX COMPETITION

HUANG Ziqi, LIU Qingquan

2023, 25(2):  23-36.  DOI: 10.13776/j.cnki.resourcesindustries.20230313.002

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As China’s industrialization advances, industrial co-conglomeration is becoming a developing trend. Green innovation powers green development, and shapes tax competition pattern. Industrial coordinated development is key to reach innovation and green low-carbon transformation. This paper, aiming at exploring the inner mechanism between industrial co-conglomeration & tax competition and green technical innovation, uses locality entropy and super-efficiency SBM model to estimate 2010 to 2019 industrial co-conglomeration and green technical innovative efficiency in Yangtze River economic zone, and establishes a spatial Dubin model and mediating model to study the spatial effect and impacting mechanism of industrial co-conglomeration on green technical innovation based on tax competition. Yangtze River economic zone has a big room to improve in green technical innovation with regional heterogeneity, which is also of positively spatial correlation, at a rising trend while fluctuating. Industrial co-conglomeration promotes green technical innovation, with a larger positive spatial overflow over its surrounding areas than local. Mediation verification indicates that industrial co-conglomeration can decrease tax competition and promote green technical innovation. This paper presents suggestions on constructing industrial co-conglomeration to lead green innovative development in high co-conglomerating area, and on using policies, developing productive servicing and upgrading/transforming manufacturing. Local governmental tax competition shall be regulated to form a new pattern of competition for innovation.

SPATIAL PATTERN EVOLUTION AND FACTORS OF PRODUCER SERVICES IN YANGTZE RIVER ECONOMIC ZONE FROM PERSPECTIVE OF ENTERPRISES’ ENTRY

JI Tianzheng, HUANG Qiaolong, ZHANG Tianling, et al

2023, 25(2):  37-51.  DOI: 10.13776/j.cnki.resourcesindustries.20230315.001

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This paper uses producer services data in Yangtze River economic zone to establish a compound weighted concentrating indicator which not only macroscopically stock concentration, but also reflects dynamic increment, and employs natural breakpoint classification, spatial auto-correlation, standard deviation ellipse and spatial metering model to study the spatial pattern evolution and factors of 2000 to 2019 producer services in Yangtze River economic zone. Its producer services shows a “west-low-east-high” concentrating distribution with a diminishing regional variance amid temporal-spatial evolution, and with remarkable localized coherence and spatial heterogeneity. Low-level radiation is mainly located in Hunan, Hubei and eastern Sichuan, high-level in Nanchang, Hangzhou and Shanghai centers. Chongqing, Sichuan and Hubei show a patter of “core-high-majority-low”. Spatially it is a “northeast-southwest” distributing pattern with its internal industries showing three spatial concentrating patterns, more centralized, and new entities favoring concentrating in the down-stream of Yangtze River. Concentration of producer services is variably influenced by human capital, governmental expense, house price, traffics and openness, most by human capital and traffics. This paper presents policy suggestions on promoting producer services in Yangtze River economic zone on the basis of regional heterogeneity and factors.

CARBON COMPENSATION QUANTIFICATION AND TEMPORAL-SPATIAL PATTERN IN YANGTZE RIVER ECONOMIC ZONE

MA Jun, GAO Huixian, SHI Yanqiu

2023, 25(2):  52-64.  DOI: 10.13776/j.cnki.resourcesindustries.20230314.001

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Under nation’s proactive carbon reduction policy, construction of resourcessaving and low-carbon intensive Yangtze River economic zone is key for China to reach carbon neutralization. This paper, aiming at green low carbon development, uses four-staged DEA (data envelopment analysis) model to estimate carbon emission efficiency, and establishes a corrected carbon emission model, and applies ESV (ecosystem service valuation) to stand for the ecological baselines. Carbon sink corrected model is constructed based on the variances in population, land areas, technical levels, ecological environment, and economic levels in Yangtze River economic zone. Primary carbon compensation estimation model has been improved to estimate their carbon compensation amounts of provinces (cities) in Yangtze River economic zone. Spatial auto-correlated model is employed to explore their spatial auto-correlation of their carbon compensation amounts. Results show conspicuous variances in carbon compensation amounts between before and after correction coefficients are adopted, largely increased after, and closely connected to each other in nearby provinces. Payers are mainly located in Yangtze Rive delta, and the payees are in the middle and upper-stream. This paper presents suggestions on constructing a servicing function evaluation system of regional ecological system, comprehensive performance evaluation and feedback mechanism of carbon compensation projects, improving transverse paying mechanism of carbon compensation, boosting controls, enlarging greening areas and accelerating industrial transformation and talents cultivation.

DECOUPLING ANALYSIS BETWEEN WATER RESOURCE USE EFFICIENCY AND HIGH-QUALITY ECONOMIC DEVELOPMENT IN YELLOW RIVER STREAM

JIANG Xiangcheng, LIU Jiahui

2023, 25(2):  65-75.  DOI: 10.13776/j.cnki.resourcesindustries.20230314.003

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Yellow River stream has lots of water resource issues, low quality and imbalanced. Understanding the factors influencing water resource use efficiency and mastering the relation between water resource use and high-quality economic development are important to boost the sustainable development in Yellow River stream. This paper uses undesired output super-efficiency SBM model and entropy to estimate 2011 to 2020 water resource use efficiency and high-quality economic development comprehensive index of Yellow River stream, and discusses their relation by means of Tapio decoupling model, and employs Tobit model to test the factors influencing water resource use efficiency. Results suggest that 2011 to 202 average water use efficiency in Yellow River stream is less than 1, far reach to be effective, but the high-quality economic development shows a rising trend, both varying geographically, decreasing from down-to upper-stream. Their relation has been fluctuating during 2011 to 2020, which had undergone weak decoupling, strong decoupling, expansive connection, weak decoupling, expansively negative decoupling and strong decoupling. Economic development level, technical innovation and governmental influencing power play a positive role on water resource use efficiency in Yellow River stream, but industrial structure and water use structure does on the contrast.

IMPACTS OF TRAFFIC INFRASTRUCTURES AND RESEARCH & DEVELOPMENT STAFF TURNOVER ON MANUFACTURING’S EXPORTING TECHNICAL COMPLEXITY

SONG Min, TANG Rong, SHI Kaijie

2023, 25(2):  76-87.  DOI: 10.13776/j.cnki.resourcesindustries.20230309.001

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This paper establishes a spatial counting model via China’s 2008 to 2019 provincial panel data to study the relationship between traffic infrastructures and manufacturing’s exporting technical complexity, and to analyze the mediating effect mechanism of research & development staff turnover. Empirical study indicates that all traffic infrastructures positively promote the local manufacturing’s exporting technical complexity, but negatively on its surrounding areas mainly because traffic infrastructures promote trans-area turnover of R&D staff, increase the innovative elements conglomeration locally, leading to surrounding resources being relocated to locality, impairing their manufacturing productivities in the surrounding areas, and finally constraining the increase of manufacturing’s exporting technical complexity. Roads play a stronger role than rails. This paper presents references for local governments to develop their infrastructures according to their locality advantages and to boost a trans-area coordinated development of infrastructures.

SOCIAL RESPONSIBILITIES, EXECUTIVE INCENTIVES AND GREEN TECHNICAL INNOVATION OF HEAVY POLLUTION INDUSTRIES

GAO Zhixin, XU Jixiao

2023, 25(2):  88-100.  DOI: 10.13776/j.cnki.resourcesindustries.20230309.004

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

INPUTS PRIORITY OF FARMLANDS HARNESS BASED ON ECOLOGICAL SENSITIVITY VARIANCE

JI Xiongjuan, CHENG Wenshi, ZHAO Wenting

2023, 25(2):  101-110.  DOI: 10.13776/j.cnki.resourcesindustries.20230314.002

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China has largely invested in farmland harness with notable achievements gained. Appropriate managing strategies will be a vital basis for combining farmland harness with ecological restoration by means of ranking ecological sensitivity variances in ecologically vulnerable areas, which is a key issue in farmland harness. This paper, based on a case study on Gansu’s Jingtai county, selects altitude, slope, vegetation index, water, land use categories and traffics from natural and human perspectives, and applies GIS to overlap weights in evaluating ecological sensitivities, which is used to rank inputs priority in farmlands where have not been harnessed in recent decade. Jingtai county’s ecologically sensitive areas can be classified as not, mild, moderate and heavily, and its inputs priority of farmland harness is divided into general, sub-priority, priority and not recommended, which need appropriate harness strategies to control risks. This paper concludes that use of ecological sensitivity variances is a right way to rank inputs priority in farmland harness, complying with national regulations regarding new resources and land spatial use, and also consistent with the reality of eco-environmentally vulnerable areas.

HOW CAN “NEW INFRASTRUCTURAL CONSTRUCTION” BOOST HIGH-TECH INDUSTRIAL INNOVATION CAPABILITIES FROM PERSPECTIVE OF GREEN RECOVERY？

ZHU Zhiming, NI Jinpeng, FU Lei

2023, 25(2):  111-125.  DOI: 10.13776/j.cnki.resourcesindustries.20230313.001

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Currently it has not doubt to exert green empowering effect of “New Infrastructural Construction” to confront the upcoming carbon peaking, constraints of natural resources, CoVID19’s impacts and technical industrial reform. High-tech industry is of intensive knowledge, low resource consumption and low pollution, its innovative capabilities can embody industrial advances and help convert economy to an intensive and environment-friendly mode. This paper, viewing from green recovery, studies the theoretical mechanism of “new infrastructural construction” on high-tech industrial innovation. Inputs and use of “new infrastructural construction" as a vital means of green development and industrial innovation matters. This paper, based on China’s 28 province’s 2008 to 2020 panel data, uses baseline regression model to study impacts of “new infrastructural construction” on high-tech industrial innovative capabilities which has been validated by stability test through replacement of variables. Regression analysis is also conducted on China’s east and west. Mediating effect model is applied to study the impacts of cost saving effect, overflow effect and human capital effect on high-tech industrial innovation. Overall, “new infrastructural construction” can improve high-tech industrial innovative capabilities, outstandingly in eastern China little in central and western China. Human capital effect is an important path to improving high-tech industrial technical innovative capabilities in “new infrastructural construction”, but cost saving effect has a little overflow due to its masking effect. It concludes that China should support “new infrastructural construction”, exerts governmental leading role in advancing investment in central and western China, makes “new infrastructural construction” a path to high-tech industrial innovative capabilities, which is key to economic development, ecological sustability and industrial innovation.

DOES CONSTRUCTION OF URBAN MINERALS DEMONSTRATING BASE RELIEVE ENVIRONMENTAL POLLUTION FROM PARA-NATURAL TESTS?

YANG Zihao, SHEN Hongcheng

2023, 25(2):  126-137.  DOI: 10.13776/j.cnki.resourcesindustries.20230315.002

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Green development and circular economy are vital means for sustainable development. This paper, based on China’s 279 prefectures’ 2004 to 2018 panel data, uses urban minerals demonstrating base policy as a para-natural test to establish a DID （differences-in-differences） model, which is employed to study the impacts of construction of urban minerals demonstrating base on relieving environmental pollution, and the adjusting effect of research inputs and marketization degree. The results show that construction of urban minerals demonstrating base outstandingly relieves environmental pollution, which is offset by research inputs and marketization degree. Size heterogeneity test indicates that construction of urban minerals demonstrating base have less influence on relieving tier1 urban environmental pollution than non-tier 1. Regional heterogeneity shows that construction of urban minerals demonstrating base variably relieves urban environmental pollution, less in the central cities, strong in the eastern, and strongest in the western. Batch heterogeneity shows that 2015 demonstrating bases have the premium results, while 2012 just don’t. which is also validated by PSM-DID stability test. Empirical study on impacts and effects of construction of urban minerals demonstrating base can theoretically improve China’s performance evaluation framework in urban minerals demonstrating base policies, and practically help develop China’s circular economy. This paper presents scientific supports and theoretical basis for China to appropriately develop urban minerals, to reach green sustainable development and circular economy.

SPATIAL DISTRIBUTION OF LITHIUM MINERALS AND THEIR RECOVERY POTENTIAL OF CHINA’S NEW ENERGY PASSENGER VEHICLES

ZHENG Linchang, HU Yuqi, CHEN Ge

2023, 25(2):  138-150.  DOI: 10.13776/j.cnki.resourcesindustries.20230314.004

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A precise estimate of recovery potential and spatial distribution of lithium minerals in China’s new energy passenger vehicles can ensure a fast growth of China’s new energy vehicle industry and lithium resource supply security. This paper, based on China’s new energy passenger vehicles production and market data, uses their unit power storage, battery types, unit power storage lithium use intensity, lithium battery life span to estimate lithium stock and recovery potential of China’s new energy passenger vehicles. The results show a fast rising trend of lithium stock and recovery potential of China’s new energy passenger vehicles in recent years, up to 22 kt of lithium stock in China new energy passenger vehicles by 2021, but their recovery potentials will not be at the same pace recently and in the near future, only reaching up to 730 t in 2021. In 2021, Beijing-Tianjin-Hebei, Yangtze River Delta, Zhu River Delta contributed 60% of lithium recovery potentials nationwide, 18 cities including Beijing, Shanghai and Hangzhou hold 73% of lithium recovery potential nationwide. Lithium stock and recovery potential of new energy passenger vehicles show a concentrating to scattering trend spatially in recent five years. This paper presents suggestions on globally developing lithium resource, boosting lithium research and industrialization and making regional lithium battery recovery system.