Resources & Industries

CHINA'S REE SUPPLY RISKS VIEWING FROM CHINA-AMERICA'S COMPETITION

WEN Shaobo, CHEN Zhihua, LIU Xueyong

2022, 24(5): 1-9. DOI: 10.13776/j.cnki.resourcesindustries.20221014.001

Asbtract ( )

PDF（mobile） (2148KB) ( 116 )

References | Related Articles | Metrics

REEs are indispensable materials for advanced manufacturing, new energy, new industries, and the weapon industry. China has an asymmetric dependence with America on REE mining and processing. This paper uses complicated network to recognize the evolutional process of China-America's Competition-Cooperation in the global REE markets, and establishes an index system to quantitatively identify China's confronting REE supply risks from REEs market concentration, producers' supply capacity and willingness, attempting to provide reference for China to make REE policies amid competition with America. China has a changing competition with America in the global REE markets, facing potential supply risks when China maintain REE market advantages relying on external sourcing. Viewing for market concentration, China has a declining REE market influencing power. China's top 2 REE suppliers are weak in supplying, and it is possible that China's major REE partners to interrupt supplying REE resources.

IMPROVEMENT OF JIANGSU'S ECONOMIC RESILIENCE UNDER IMPACTS OF COVID-19

XU Yuzhu, TAN Juntao, WANG Zhongzhi

2022, 24(5): 10-18. DOI: 10.13776/j.cnki.resourcesindustries.20221009.001

Asbtract ( )

PDF (2471KB) ( )

References | Related Articles | Metrics

This paper uses inverse function method to estimate the resilience of Jiangsu's overall economy and the third industry from resistance and recovery, and employs geographical detector model to study its factors. Jiangsu's economic resistance is outstandingly higher than the nation's average, geographically showing low-in-south/north and high-in-center. Industrial resistance has a decreasing order of the second, the first and the third industries with all three industries distributing variably. Jiangsu's economic recovery is also above the nation's average, but with a decreasing trend, geographically high-low-high-low pattern northward transforming to a later south-high-north-low pattern. Economic recovery of the first and the second industries has improved largely, with the third industry declining outstandingly. Overseas trading dependence, back-to-work progress and industrial structure have a higher explanatory powerto economic resistance, and industrial structure, medical level and back-to-work progress higher to economic recovery. Among resilience-related factors, medical level, back-to-work progress and proportion of the third industry are the major drives for regional economic resilience, but overseas trading dependence and proportion of the second industry are the negative factors. This paper presents suggestions on post-COVID-19 economic recovery and quality development for Jiangsu province.

AN APPROACH CHINA'S 2030 CARBON PEAK BASED ON SD MODEL ON ECONOMY, ENERGY AND CARBON EMISSION SYSTEM

DU Yan, HU Xinyang

2022, 24(5): 19-28. DOI: 10.13776/j.cnki.resourcesindustries.20221013.002

Asbtract ( )

PDF (2230KB) ( )

References | Related Articles | Metrics

This paper uses system dynamics model to interactively simulate China's carbon emission evolution trend of energy consumption during 2020 to 2050 under three scenarios. Comprehensive control scenario is set at the benchmark to study the impacts of economic,population and energy changes on gross carbon emission, and to discuss the premium approach to carbon peak. Caron peak values are forecasted to be 1.62, 1.33 and 1.14 times of 2020 under benchmark, low carbon and comprehensive control scenarios, respectively, and will reach the carbon peak in the years of 2038, 2030 and 2027 under the three scenarios, largely impacted by GDP growth rate per capita, scientific-technical inputs, proportions of the second and the third industries, fossil energy proportion and energy consumption intensity. Carbon peak is forecasted to be the nearest under the comprehensive control scenario, with minimum carbon emission peak value, a practical premium plan. The optimized approaches to carbon peak needs to be based on determining appropriate GDP growth rate per capita, boosting scientific-technical inputs, decreasing the second and the third industries proportion, adjusting energy structure and decreasing energy consumption intensity.

THRESHOLD EFFECT OF CHINA'S OFDI ON “THE BELT AND ROAD” NATIONS' GTFP

WANG Ning, LI Yinguo

2022, 24(5): 29-39. DOI: 10.13776/j.cnki.resourcesindustries.20221017.001

Asbtract ( )

PDF (1239KB) ( )

References | Related Articles | Metrics

Green development has attracted worlds' attention by its resource-saving and environment-friendly orientation under the background of sustainable development, with its focus on increasing green total factor productivity (GTFP), which marks the economic growth efficiency, also considers resource consumption and environmental pollution. Amid “the Belt and Road” construction, China is increasing its investment in the nations. This paper uses panel threshold model to study the impacts of China's OFDI on “the Blet and Road” nations' GTFP based on China and those nations' political, economic, and environmental differences. Results show that China's OFDI plays a positive role on “the Belt and Road” nations' GTFP, which also is limited by the political and economic regime distance, diminishing with regime distance. Regression coefficient of China's OFDI on “the Belt and Road” nations' GTFP is 0.072 when their political regime distance is less than 1.986, 0.058 between 1.986 to 2.513, and 0.012 when larger than 2.513. Regression coefficient is 0.102 when economic regime distance is less than 1.440, 0.085 between 1.440 to 2.575, and 0.023 when larger than 2.575. Increasing OFDI can offset the impacts of political and economic distance. Positive impacts of China's OFDI on “the Belt and Road” nations' GTFP increases from 0.028 to 0.122 when China's OFDI scale increases from 3.899 to 4.15.

VIRTUAL WATER FLOW STUDY OF AGRICULTURAL PRODUCTS TRADE BETWEEN CHINA AND THE “BELT AND ROAD” NATIONS

SUN Caizhi, , ZHANG Jialiang

2022, 24(5): 40-50. DOI: 10.13776/j.cnki.resourcesindustries.20221009.002

Asbtract ( )

PDF (3001KB) ( )

References | Related Articles | Metrics

Virtual water hidden in the products migrates as trades develop. This paper uses agricultural trading data of China and the “Belt and Road” nations to estimate the virtual water content in 2001, 2007, 2013 and 2019 agricultural trading, and analyzes their virtual water flow pattern, and applies rank-size and fractal theory to study their trading sizes and spatial distribution so as to analyze their monopoly and dependence. Results show that China's net imported virtual water has increased from 8.3 billion cubic meters to 87.5 from the “Belt and Road” nations from 2001 to 2019, China's net exported nations has increased to 27 from 7, distributing even with a declining monopoly from top-ranking nations. China's net exported virtual water types are mainly green, 85.9% yearly, chiefly from southeastern and southern Asia and eastern Europe. China's net imported virtual water types are green and gray, 65.03% and 24.07% yearly, respectively, mainly to Africa and western Asia, Southern Asia, eastern Europe, middle Asia, Africa, and southern Europe had transformed to net exported nations from net imported, leaving eastern Asia net imported nations.

THEORETICAL AND CASE STUDY ON EVOLUTION OF REGIONAL DIVISION OF INDUSTRIAL CHAIN UNDER ENVIRONMENTAL REGULATIONS

XIAO Yanfei, XIE Rengui, YIN Hui

2022, 24(5): 51-60. DOI: 10.13776/j.cnki.resourcesindustries.20220916.001

Asbtract ( )

PDF (1134KB) ( )

References | Related Articles | Metrics

Whether execution of environmental regulations leads to effective regional division of industrial chain and then its technical innovation and upgrade is key to collaborative emission reduction of trans-regional industrial chain under products inner division. This paper, focusing on chemicals industry in Yangtze River economic zone, uses pollution paradise theory, technical innovation theory and element combination theory to establish an evolutionary theoretical model and panel regression model to study the impacts of environmental regulations on regional division of industrial chain. Pollution Paradise effect of industrial chain division under environmental regulations exists in a short term, but of an upsidedown “U-shaped” impacts for a long term with critical value at 1.438 5, above which industrial chain will be decreased its specialization, unfavorable for industrial chain division. Environmental regulations are of technical promotion and elemental combination effects on regional division of industrial chain. Factors such as foreign investment also limits the execution of environmental regulations. This paper suggests governments make appropriate environmental regulation intensity, boot technical innovation, promote green innovative upgrade of industrial chain, focus on a rationally regional allocation and control adopting channels of foreign investments and create a good industrial environment.

IMPACTS OF ENVIRONMENTAL REGULATIONS INTENSITY ON ZHEJIANG'S INDUSTRIAL GREEN DEVELOPMENT

SHEN Hongcheng, LUO Ting, YE Ji

2022, 24(5): 61-69. DOI: 10.13776/j.cnkiresourcesindustries.20220410.002

Asbtract ( )

PDF (1116KB) ( )

References | Related Articles | Metrics

Industrial green development is a key approach to urban pollution emission and energy consumption, and largely boosts its green sustainability. This paper, based on Zhejiang's 2000—2019 industrial economic panel data, uses Cobb-Douglas production function model to explore the impacts of environmental regulations intensity on Zhejiang's industrial green development, and divides Zhejiang into four areas ad two categories of urban sizes, and empirically studies the heterogenous effects ofenvironmental regulations intensity on industrial green development. Environmental regulations intensity largely decreases Zhejiang's unit energic consumption, outstandingly boosting its industrial green development, but the impacts vary, better in western and southern Zhejiang than in eastern and northern. Environmental regulations intensity improves their industrial green development in cities with variable populations, better in middle-small cities than in large cities in reducing unit energic consumption. Environmental regulations can still largely decrease unit GDP energic consumption after removal of model's endogenous issues, verifying the stability of model. The overall marketization level plays a key role in decreasing the unit regional GDP energic consumption by environmental regulations intensity, and marketized environmental regulations also reduce Zhejiang's overall unit regional GDP energic consumption. This paper presents suggestions for Zhejiang to make appropriate environmental regulations intensity in order to push industrial green development and quality economic growth.

A CASE STUDY ON NANJING: OPTIMIZED ALLOCATION OF QUALITY WATER RESOURCE UNDER RED LINE CONTROL

XU Jixiao, WANG Yao, TANG Yongjun

2022, 24(5): 70-80. DOI: 10.13776/j.cnki.resourcesindustries.20221012.001

Asbtract ( )

PDF (2201KB) ( )

References | Related Articles | Metrics

Quality use of water resource is a vital way to deal with water crisis under the concept of sustainable development. Study on water resource allocation can not only provide solutions to water resource supply-demand conflict, but also boost a sustainable use of water resource, and also guarantee a quality social & economic development. This paper, based on a case study on Nanjing city, establishes a water resource optimized allocation model of multiple target areas under three red lines control, which is given solutions by applying multiple particle swarm algorithm in obtaining water resource optimized allocation plans for planning years. Results show Nanjing will have a water supply of 3.441 billion cubic meters in 2030 under three Red Lines control with a water shortage rate up to 8.22%. Industrial, agricultural and living water is the major uses with a fast-growing environmental water use. COD and Ammonia-Nitrogen are under good control, reaching a balanced development among economic, social and environmental benefit objectives. This paper presents suggestions on coordinating water supply-demand, optimizing industrial structure and combining protection with governance in order to promote a water resource quality development.

A CASE STUDY ON YANGTZE RIVE DELTA: CAN ENLARGED CITY CLUSTER DECREASE INDUSTRIAL WASTEWATER POLLUTION？

ZHU Zhiming, LI Yajie, FU Lei

2022, 24(5): 81-89. DOI: 10.13776/j.cnki.resourcesindustries.20221012.004

Asbtract ( )

PDF（mobile） (1658KB) ( 10 )

References | Related Articles | Metrics

Concept of “Clear waters and green mountains are as valuable as mountains of gold and silver” prevails with ecological priority and green development becoming a mutual developing path for cities. Yangtze River Delta city cluster is growing its industries with increasing pollution emission, especially the industrial wastewater pollution, thus largely decreasing residents’ euphoria. City cluster is becoming the growing center in replacement of central city. If other expansion of regions has impacts on industrial wastewater pollution remains a question. This paper, based on 246 prefectures’ data from 2003 to 2019 in China, uses synthetic control to study the impacts of enlarged city cluster on decreasing industrial wastewater pollution through the difference between the actual industrial wastewater emission and synthetic emission in Yangtze River Delta city cluster. Placebo and transformation is used to test its stability. Suggestions are given on how enlarged city cluster impact industrial wastewater emission. Enlargement policy largely decreases industrial wastewater emission in city cluster. Synthetic industrial wastewater emission without enlargement grows, but the actual industrial wastewater emission declines, which makes enlargement policy a necessity. Enlarged city cluster increases industrial wastewater emission through population density, but decreases it through economic growth.

SPATIAL SPILLOVER EFFECT OF FOREIGN DIRECT INVESTMENT ON MANUFACTURING AGGLOMERATION IN GUANGDONG-HONG KONG-MACAO GREAT BAY AREA

SONG Min, LIU Bin

2022, 24(5): 90-97. DOI: 10.13776/j.cnki.resourcesindustries.20221013.001

Asbtract ( )

PDF (1174KB) ( )

References | Related Articles | Metrics

Guangdong-Hong Kong-Macro Great Bay Area (the Great Bay) plays a vital role in leading the global economy and technical advances by its abundant natural resources and featured openness. The overflow effect of foreign direct investment can realize the manufacturing agglomeration in the Great Bay, which has become a key path to the Great Bay's openness and diversification. This paper uses locality entropy to estimate the agglomeration of the Great Bay's manufacturing and its detailed industries during 2010 to 2019 and applies SEM and SDM to study the impacts of foreign direct investment on manufacturing agglomeration. Results show that the Great Bay has specific industrial division and notable industrial agglomeration. Here foreign direct investment has a remarkable spatial overflow effect on manufacturing agglomeration with impact coefficients at 0.213 and 0.121 under neighboring matrix and economic geographical matrix, respectively. Market size and technical innovation have impacting coefficients at 0.063 and 0.316 on the local manufacturing agglomeration, boosting the local manufacturing. Capital stock promotes the neighboring manufacturing agglomeration with an impacting coefficient at 0.918. This paper concludes that advantages of the Great Bay's industrial agglomeration can lead a balanced development for the entire Guangdong province or even for the global Zhu Delta area's industries.

DOES GOVERNMENTAL ALLOWANCE PROMOTE ENTERPRISES' GREEN TECHNICAL INNOVATION LEVEL VIEWING FROM INFORMATION TRANSMISSION?

CHEN Shuwei, HAN Li

2022, 24(5): 98-107. DOI: 10.13776/j.cnki.resourcesindustries.20221012.002

Asbtract ( )

PDF (1137KB) ( )

References | Related Articles | Metrics

This paper, based on stock-listed companies' 2015 to 2020 data, uses bidirectional fixed effect model to study the impacts of governmental allowance on enterprises' technical innovation with results showing that proportion of governmental allowance to enterprises' gross values increases by 1%, their patent counts will then increase by 7.81%, suggestion a notable promotion, which largely vary with enterprises' natures and life circles. Stability test validates this conclusion. When venture capital is introduced, signal transmission mechanism of governmental allowance on enterprises' green technical innovation which is verified by means of binary Logit model indicates that those enterprise with governmental allowance gain a VC's investment 16.83% higher than those without. Enterprises gaining governmental allowance means a gained support, attracting social attention and external supports in green technical innovation. To improve enterprises' green technical innovation performance, governments shall not only pay attention on the direct impacts of governmental allowance on green technical innovation, but also fulfill the function of signal transmission of enterprises gained allowance, leading social resources to enterprises' green technical innovation.

A PATH TO POLLUTION CONTROL UNDER ENVIRONMENTAL REGULATIONS VIEWING FROM HETEROGENEITY GOVERNANCE BASED ON SPATIAL DIFFERENCE OF MEDIATING EFFECT

WAN Xin, SU Pengcheng, MAO Peng

2022, 24(5): 108-116. DOI: 10.13776/j.cnki.resourcesindustries.20221009.003

Asbtract ( )

PDF (1118KB) ( )

References | Related Articles | Metrics

To study role of environmental regulations on pollution emission under heterogeneity governance, this paper divides environmental regulations into two types, government-enforced and public-involved, which are used to establish a spatial Dubin model to test the pollution controls of environmental regulations. Technical innovation and gross industrial production are served as medium variables to discuss the paths to pollution of environmental regulations in difference areas. Public-involved environmental regulation in central and eastern China is closely related to pollution emission, better than government-enforced. Government-enforced environmental regulation in western China is outstandingly negative to pollution emission, with gross industrial production playing a stronger moderating role, which needs to be prevented from being asylum for eastern pollution industries. Technical innovation plays a little mediating role on environmental regulation and pollution emission, but its spatial overflow effect is great, so is public-involved environmental regulation, with a learning effect across different areas.

MODELLING OF RETAIL CUSTOMER LOSS OF REFINED OIL ENTERPRISES BASED ON KNOWLEDGE FLOW HOTSPOT DATA#br#

ZHU Yu, HE Zhicheng

2022, 24(5): 117-123. DOI: 10.13776/j.cnki.resourcesindustries.20221012.003

Asbtract ( )

PDF (1659KB) ( )

References | Related Articles | Metrics

Aiming at the problems of inaccurate prediction of customer loss and untimely identification of customer loss risk, combined with the changing characteristics of hot data of knowledge flow, an optimization model of retail customer loss of refined oil enterprises is established. According to the purchase behavior characteristics of users, the retail customers of refined oil enterprises are divided, the hot data of retail knowledge flow of refined oil enterprises are collected, different factors affecting customer loss are analyzed, target variables, influence variables and input variables are set, and the monthly loss rate is defined as a metric indicator. The loss of retail customers of refined oil enterprises is determined and predicted by the type of customer loss, The output results of the model are obtained. The case verification results show that the model can obtain more accurate customer churn prediction results, and provide reference for the maintenance of exploration customers of product oil enterprises.

IMPACTS OF INFORMATION FRAMEWORK ON GREEN CONSUMPTION BEHAVIORS UNDER SUSTAINABLE DEVELOPMENT BASED ON MEDIATING EMPATHY

HE Lishi, SHAN Xiaoyu

2022, 24(5): 124-134. DOI: 10.13776/j.cnki.resourcesindustries.20221011.001

Asbtract ( )

PDF (1199KB) ( )

References | Related Articles | Metrics

Protecting ecological environment is a key step in guaranteeing sustainable use of natural resources. Orientation of residents’green consumption behavior contributes to mitigating China's natural resources pressure, to reducing environmental pollution and boosting urban sustainable development. This paper, based on Stimuli-Organism-Response (SOR) model, uses empathy as mediating variable, and natural anthropomorphism as moderating variable to construct a conceptual model regarding impacts of information framework (loss framework vs. gain framework) on green consumption behaviors with two experiments applied to discuss its internal mechanism. Compared with gain framework, loss framework can improve individual intention on green consumption behaviors more. Empathy plays a mediating role between information framework and green consumption behavior intention, at a mediating value at 0.319. Under the loss framework, individual has a higher empathy degree. The mediating of empathy on green consumption behaviors in information framework can be positively moderated by natural anthropomorphism, the higher natural anthropomorphism, the stronger mediating of empathy, and the stronger influences of loss framework (vs. gain framework) on individual empathy and green consumption behavior intention. This study as a supplement to the green consumption behavior system presents theoretical and practical references for governments and enterprises to conduct green sales and for individual green consumption behaviors.

Table of Content