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    20 October 2024, Volume 26 Issue 5
    SPATIAL DISTRIBUTION AND FACTORS OF ECOLOGICAL FOOTPRINTS IN COAL RESOURCE BASED CITIES
    LUO Zhengmao, GAO Honggui, WAN Huawei, CHEN Yang
    2024, 26(5):  1-12.  DOI: 10.13776/j.cnki.resourcesindustries.20241008.001
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    China's coal resource-based cities have been entrapped into plight due to their excessive mining activities, which can get resolved through studying the spatial distribution and path optimization of ecological footprints in coal resource-based cities. This paper, based on China's 35 coal resource-based cities, uses energy ecological footprint model and sustainability indicators to measure their energy ecological footprints, ecological deficit/remainder, ecological efficiency and ecological sustainability, and employs STIRPAT model to study their factors. Energy ecological footprints are closely related to energy consumption in coal resource-based cities, largely varying regionally, of which central to eastern China has the maximum energy ecological footprint. Most coal resource-based cities are loosing balance in ecological supply and demands, but their resources utilization efficiency can be gradually promoted under technical advances and supportive policies from perspective of ecological efficiency. Regression results of STIRPAT model shows a positive impact of economy and population on energy ecological footprints in coal resource-based cities, but negative from technical advances. This paper presents suggestions for coal resource-based cities in economic transformation and sustainable development.
    COLLABORATIVE NETWORK ON ATMOSPHERIC ENVIRONMENTAL POLICES IN CHINA'S THREE MAJOR URBAN AGGLOMERATIONS
    SHEN Weining, GU Yuqi, DAI Juanjuan
    2024, 26(5):  13-25.  DOI: 10.13776/j.cnki.resourcesindustries.20240904.002
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    Collaborative harness of atmospheric pollution requests acoalition among local governments, which is marked by a jointly-issued environmental policies. This paper, based on official 2009 to 2019 atmospheric environmental policies, uses social network analysis (SNA) and Gephi software to map their network relationship graph among departments, and employs Ucinet to analyze their density and centrality of department collaboration in Beijing-Tianjin-Hebei, Yangtze River Delta and Chengdu-Chongqing urban agglomerations, exploring their coordination among governmental departments during environmental harness. In Beijing-Tianjin-Hebei urban agglomeration, Beijing has the most extensive atmospheric environmental policies with most departments involved and frequent coordination. Tianjin has the fewest departments involved in making atmospheric environmental policies but with premium internal department coordination. Hebei has the less policy quantities and departments, which shall be further boosted. In Yangtze River delta urban agglomeration, Shanghai has a few atmospheric environmental policies, but with most departments involved and most frequent cooperation. Zhejiang has the most policies with extensive departments involved, less in department coordination. Jiangsu is quite similar with Anhui in policy quantities and involving departments, but Anhui has the least department coordination. In Chengdu-Chongqing urban agglomeration, Chongqing has less policies, less involving departments with little cooperation. Sichuan performs better, but has yet formed a collaborative network mode among departments with “polar-kernel” features. This paper presents suggestions on fulfilling functions of urban agglomeration to establish communicating channels among regional governments and organizations and to form a multiple-department-involving and diversified normalized mechanism in harnessing atmospheric pollution.
    ECOLOGICAL PROTECTION RESEARCH VISUALIZATION OF CHINA'S STREAMS AIMING AT QUALITY DEVELOPMENT
    ZHANG Jinsuo, LIU Jinhua
    2024, 26(5):  26-36.  DOI: 10.13776/j.cnki.resourcesindustries.20240904.001
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    Research on status, hotspots and trend of ecological protection of China's streams can provide theoretical references for ecological protection of China's streams. This paper uses visualization tool CiteSpace to study 1013 pieces of 1997 to 2023 papers on stream ecological protection and depicts its research status. These domestic research papers can be classified into three stages, initial exploration, developing and maturing stages. The hotspots cover four aspects, stream eco-system and management, ecological repair and restoration, ecological protection and safety, and ecological quality development. The major mission of stream ecological protection has undergone three stages, water-soil loss and construction, eco-system restoration and management & protection, and eco-cultural construction and quality development. Research on stream ecological protection will be focusing on eco-system sustainability and repair, stream comprehensive harness and coalition, and water resource sustainable use and protection.
    DRIVERS FOR REDUCING POLLUTION & CARBON IN YANGTZE RIVER DELTA BASED ON DUAL-NESTED LMDI
    FAN Yuanhua, WANG Shijin
    2024, 26(5):  37-46.  DOI: 10.13776/j.cnki.resourcesindustries.20240830.001
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    Synergy of pollution & carbon reduction is a key path to China's green low carbon quality development. It is still unclear that how their synergy and harness between air pollutants represented by SO2 & CO2 and green house gas reduction drivers is. This paper, based on 34 prefectures' 2006 to 2020 data in Yangtze River delta, uses LMDI model to decompose SO2 & CO2 emission drivers with the results nested with pollution & carbon-reduction synergy model, and measures their contribution and synergy of pollution & carbon-reduction drivers in energy, economy and environment. Effects of energy structural intensity, economic development and population size play a synergy on SO2 & CO2 reduction in Yangtze River delta, of which only energy structural intensity is positive, other drivers are negative or of no synergy. To advance China's green low carbon quality growth, this paper presents suggestion on fulfilling drivers of synergy in pollution & carbon-reduction along with the potentials of non-synergy factors.
    A CASE STUDY ON “THE BELT AND ROAD” NATIONS: COUPLING & COORDINATED SPATIAL CORRELATION NETWORK BETWEEN FDI LIQUIDITY AND CARBON EMISSION
    YOU Di, HUANG Yong, YU Haozhen, YANG Chengye
    2024, 26(5):  47-62.  DOI: 10.13776/j.cnki.resourcesindustries.20240919.001
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    This paper uses social network analysis and coupling coordination model to study the structural features of coupling & coordinated spatial correlation network between FDI liquidity network and carbon emission transfer network in “the Belt and Road” nations during 2010 to 2016. Results show that the two networks are Results show that these two networks are of good communication in spatial correlation and a higherstability. Qatar and the United Arab Emirates are positioning at the center of networks. “The Belt and Road” nations can be divided into 4 divisions according to their clustering features in spatial correlation network, Division I is net overflow, Division II and IV are net beneficial, and Division III is bi-directional overflow. This paper presents suggestions for “the Belt and Road” nations on attracting FDI based on low carbon economy, fulfilling division features to make appropriate policies in order to reach a fine control.
    QUALITY DEVELOPMENT OF URUMQI‘S NEW URBANIZATION FROM PERSPECTIVE OF URBAN RURAL INTEGRATION
    CHEN Qiao, WU Wenjie, FU Xue
    2024, 26(5):  63-77.  DOI: 10.13776/j.cnki.resourcesindustries.20241012.001
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    A quality development of new urbanization is a key driving force to promote regional coordinated development and urban-rural integration, and an inevitable path to Chinese-styled modernization as well. This paper uses compound index system, improved entropy and vector self-regression model to study quality development and factors of Urumqi’s rural-urban integrated and new urbanization during 2000 to 2022. The results show Urumqi has acquired a continuously rising quality development in its new urbanization during the study period, but still constrained by a slow speed, slow farmers-to-urban-residents and imbalanced urban-rural development. Key drivers of quality development of new urbanization include governmental policy supports, economic developing levels, industrial structural optimization. This paper presents fine and differentiated references for new urbanization, urban-rural integration and regional coordinated development in the new era.
    THE IMPACTS OF PORT-CITY COORDINATION ON URBAN ECONOMY IN LIAONING'S COASTAL ECONOMIC ZONE
    ZHOU Baogang, YUE Lin
    2024, 26(5):  78-89.  DOI: 10.13776/j.cnki.resourcesindustries.20241008.002
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    Port-city coordination is a vital path to port city's quality development, which requires a scientific positioning and a clarification of its positive impacts on port-city coordination. This paper, aiming at a quality economic growth in Liaoning's costal economic zone, uses their interactive coordination among its six ports and inland cities to establish an index evaluation system of port development and urban economy, with weights given to indexes via entropy, and applies coupling coordination model to estimate their 2013 to 2021 coupling coordination of six ports and cities in Liaoning's coastal economic zone, establishes a panel data model to analyze its impacts of port-city coordination on urban economic growth. It concludes that technical innovation and green development are key factors to Liaoning's coastal economic zone's quality growth. Port-city development vary with ports and cities, higher port-city coordination in Dalian,Yingkou and Panjin, lower in Huludao. Port-city coordination is favorable for inland cities' economy with its contribution related to urban relevance on port-city coordination and port sizes. This paper presents suggestions on green & innovative development, advancing port levels through featured advantages and upgrading urban servicing guarantees by means of locality resources.
    SPATIAL CORRELATION CHARACTERISTICS AND FUNCTIONING MECHANISM OF INTER-PROVINCIAL INDUSTRIAL STRUCTURE
    CHEN Chen
    2024, 26(5):  90-100.  DOI: 10.13776/j.cnki.resourcesindustries.20241008.003
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    Industries are key to economy, fundamentally for a nation's basis. Advancing industrial structures is a vital approach to modernized industrial system, industrial core competitiveness and entering middle-upper end of global value chains. This paper uses industrial commonality index to measure China's 31 provinces' 2012 to 2021 similarity matrix of industrial structures, and applies social network analysis (SNA) and secondary assignment procedure (QAP) to study the spatial correlation characteristics and functioning mechanism. Industrial commonality index can effectively show the asymmetry between inter-provincial industrial structural similarity and regional relation. Spatial correlation network of inter-provincial industrial structures can be divided into 4 domains, the first domain includes Beijing, Tianjin, Jiangsu, Guangdong, Zhejiang, Shanghai and Chongqing, at the top of industrial structural network which plays a leading role in optimizing industrial structures. The second domain includes Shanxi, Liaoning, Fujian and Shandong, playing a bridging and mediating role amid industrial migration, interactive with the first domain and outflowing to the third domain. The third domain includes Inner Mongolia, Hebei, Jiangxi, Sichuan, Henan, Hubei, Hunan, Anhui, Guangxi, Shaanxi and Jilin, both receiving the second domain's outflowing and outflowing to the forth domain. The forth domain includes the rest, which needs to receive industries from more developed areas in industrial structural adjustment. QAP suggests that labor inputs, human capital, capital types, and end consumption and geographic neighboring may be partially interpretated as spatially correlated, and path to inter-provincial industrial migration and receiving may be optimized. 

    IMPACTS OF TECHNICALLY-SUPPORTING-XINJIANG ON XINJIANG‘S HIGH-TECH INDUSTRIES
    WU Huiwen, WU Zhengping
    2024, 26(5):  101-113.  DOI: 10.13776/j.cnki.resourcesindustries.20241024.003
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    Aiming at the impacts of technically-supporting-Xinjiang on Xinjiang’s high-tech industries, this paper uses western China‘s 11 provinces 2003 to 2020 panel data with exception of Tibet, combined with Schumpeter’s innovation theory and main approaches of technically-supporting-Xinjiang to study their functioning mechanisms in technical conduction, resource allocation and industrial supports, experimentally verified by dual differentiation model and mediating model. The results show a notable negative effect, which means technically-supporting-Xinjiang policy was unable to promote Xinjiang‘s high-tech industries. Lagging dynamic effect tests show a 2-year’s lagging effect disables the promotion of technical-supporting-Xinjiang policy in a timely manner. Impacting mechanism indicates that technical conduction plays a masking role that boosts Xinjiang‘s technical cooperation with supporters to some extent; however, Xinjiang can’t make full use of the imported high tech due to its vulnerability in self-research and development abilities. Resource allocation plays a negative mediating role, governmental over intervention and inappropriate arrangements will mess up the market‘s demand & supply. So do industrial supports, over dependence of enterprises upon governmental supports will lead to a “squeezing effect” that makes enterprises reduce inputs, thus decreasing their self-innovative and developing abilities. This paper presents suggestions on establishing a new and full-scale technical cooperation model to fulfill innovative cooperation potentials, on optimizing innovative servicing to promote a quick transformation of technical achievements, and on improving industrial supports to stimulate the inner drive of innovation.
    TIME-OF-USE PRICING STUDY ON UBAN GAS IN CONSIDERATION OF CROSS-PRICE ELASTICITY
    XU Bin, DENG Bingjie
    2024, 26(5):  114-127.  DOI: 10.13776/j.cnki.resourcesindustries.20241029.004
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    In recent years, shortage of gas frequently happens nationwide. To mitigate the pressure of gas use, effective pricing is the key besides a stable imported source. As gas demands are surging and consumers are increasing, it requires pipeline pressure to be increased for a stable running, which demands a right gas pricing means that can minimize peak-valley load difference and maintain a stable market. This paper establishes a demand-response model based on self-elasticity and cross-price elasticity for industrial users in consideration of dual impacts of gas price’s self-elasticity and cross elasticity during different periods. A pricing simulation model is thus built to study Beijing‘s gas end consumption market. Results of time-of-use pricing are positively related to increased price proportion (peak-valley price difference), negatively to users’ gas consumption proportion to total consumption, the higher users‘ consumption, the worse results. Gas price’s self-elasticity and cross-price elasticity play a key role time-of-use pricing policy, which can not reach a multiple-win among gas providers and industrial users without considering governmental allowances on gas providers and industrial users, only beneficial to either. Under specific conditions, time-of-use pricing is an effective way in decreasing-peak-use-increasing-valley-use to guarantee a stable pipeline running. Above-factors have to be considered to better simulate the marketing when studying time-of-use pricing policy.
    ENDOGENOUS DRIVERS OF DYNAMIC EVOLUTION OF GLOBAL COBALT INDUSTRIAL CHAIN NETWORK
    WANG Yanli, LI Huajiao, GUAN Jianhe
    2024, 26(5):  128-144.  DOI: 10.13776/j.cnki.resourcesindustries.20241029.003
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    Most countries largely depend upon external cobalt sourcing due to its low reserve and production and uneven distribution as one of strategic and critical minerals during green low-carbon transformation, which makes cobalt global trading a complicated network. This paper selects a variety of cobalt commodities at different stages to establish a global cobalt industrial chain network, and studies the endogenous drivers of structural formation and dynamic evolution of global cobalt industrial chain network by means of multiple-layered network index random graph model and time index random graph model. In cobalt industrial chain, same network endogenous structures equally impact its structural formation at different stages with varying impacting extent. Mutual-beneficial effect, structural dependence effect and time dependence effect notably impact the dynamic evolution of global cobalt industrial chain. This study expands impacting mechanisms of dynamic evolution of global trade network to multiple commodities in industrial chain, offering references for construction and restoration, risks transmission, and measures of global cobalt trading network from perspective of industrial chain.

    IMPACTS OF ENTERPRISE HETEROGENEITY ON LOW CARBON TECHNICAL COOPERATION STABILITY
    GUO Yuanwei, ZHI Yuan
    2024, 26(5):  145-153.  DOI: 10.13776/j.cnki.resourcesindustries.20241022.001
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    Low carbon technical cooperation is a key path to reducing low carbon producing costs and raising market competitiveness, during which enterprise heterogeneity plays an increasing role. This paper uses gaming theory to study low carbon cooperation strategic selection and converging trend among enterprises from their gains and innovative cost heterogeneities. A larger cost/gain difference in either side between partnering enterprises adversely affects their low carbon innovative cooperation. Their cooperation will be uncertain if partnering enterprises need to pay similar costs and scales. Uncooperative partners need to be punished or decreased their gains, or cooperation brings higher gains, both helpful in increasing cooperative probabilities for partnering enterprises in low carbon cooperation. This paper presents suggestions on increasing enterprises’ innovative capabilities, boosting governmental supervision and leading, exploring appropriate cooperative mechanism to reach an effective low carbon cooperation so as to promote a low carbon development.
    INDUSTRIAL DEVELOPING PATHS TO GRADED UTILIZATION OF POWER BATTERIES UNDER DIFFERENT TECHNICAL DIRECTIONS
    ZHANG Hao, ZHANG Zhiqiang, YU Yuanyuan
    2024, 26(5):  154-167.  DOI: 10.13776/j.cnki.resourcesindustries.20241012.002
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    China‘s fast growing electrical vehicles leads to sharply rising used batteries, whose graded utilization needs to be industrialized, but its path and results are directly influenced by different technical directions. This paper, aiming at choosing appropriate investing direction and making matching policies, analyzes the key factors of industrial development from perspective of system based on practices, summarizes scales, costs, gains and profits under different technical directions by taking grid energy storage a scenario, and establishes a systematic dynamics model that is simulated for comparison. Two major technical directions, “decomposing-reconstructing” and “whole package utilization”, have their own pros and cons; however, “decomposing-reconstructing” direction prevails in expansion speed with no constraints of brands. Thanks to scale effect, “decomposing-reconstructing” direction beats the “whole package utilization” at the initial stage, but the latter will be gradually overcoming in a long term. Facilities cost and batter cost are the key factors, the former is falling while the latter is rising, facilities cost proportion has a faster/fluctuated falling compared to the “whole package utilization”, whose growing speed and gains will be largely improved if issues among different brands can be resolved and different EV makers can be united. This paper presents suggestions on selecting technical directions in accordance with national strategies, providing initial funds, offering matching allowance policies, promoting upper-to down-steam cooperation and implementing limited information sharing among different brands. 
    MANAGING MODES OF ENTERPRISES DIGITALIZATION IN DIGITALIZED ERA
    JING Xiaowei, FENG Mei, ZHANG Wenbo, SHUAI Xunbo, DONG Zhiguang
    2024, 26(5):  168-175.  DOI: 10.13776/j.cnki.resourcesindustries.20241017.001
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    In digital era, enterprises need to proceed with digitalization. The traditional managing mode is focusing on administrators, with less use of data and not sensitive to markets. This paper studies the significance of upgrading from traditional mode to digitalized managing mode for enterprises, and analyzes the preconditions of realizing digitalized managing model, presents a constructive concept of enterprises digitalized managing mode based on enriching its connotation of enterprises digitalized managing model, and illustrates its advantages and applicable scenarios. Enterprises make production and operation index system consistent with their digitalized transformation, providing valuable references for making decisions, raising quality and optimizing positions.
    IMPACTS OF WATER VALUES PERCEPTION ON PUBLIC WATER SAVING BEHAVIORS
    LU Yifan, YUAN Xudong, JIANG Yuhan
    2024, 26(5):  176-185.  DOI: 10.13776/j.cnki.resourcesindustries.20241022.002
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    Boosting public water saving and water saving society construction is a vital path to a quality economy. This paper uses “information-motive-behavior” intervention model to study the impacts of water values perception on public water saving behaviors by means of questionnaires and structural formula. It concludes that water values perception plays a significantly positive intervention on public water saving behaviors, also on water saving motives and techniques which notably promotes public water saving behaviors through a complete mediating role on water values perception. This paper put forward suggestions on enforcing propaganda channels, upgrading water saving facilities, and boosting public exchanges to future promote public water saving behaviors.
    TOURISTS' CONSUMPTION PREFERENCE IN INDUSTRIAL HERITAGE RESORTS  UNDER EXTREME WEATHER CONDITIONS BASED ON A CASE STUDY OF BEIJING'S  “ONE-LINE-FOUR-MINES” AROUND JULY 31 ST  STORM
    GUO Jingyi, WANG Ling, FANG Yutong
    2024, 26(5):  186-197.  DOI: 10.13776/j.cnki.resourcesindustries.20241029.002
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    Under extreme weather conditions, study on tourists' consumption preference in industrial heritage resorts is of significance for effectively converting/using industrial heritage resorts, and for compensating the current insufficient research in industrial heritage resorts under extreme weather conditions. This paper, based on a case study on Mentougou's “one-line-four-mines” industrial heritage resort, Beijing city, which had undergone an extreme storm on July 31 st , 2023, conducts two questionnaires by means of probability proportional sampling(PPS) and random sampling, recovers 964 valid questionnaires before the storm and 1106 after. All questionnaires, verified through confidence tests, are analyzed via Robust regression, gradual regression and mechanism analysis. Prior to the storm, the tourists understand “one-line-four-mines” more, the charge is more appropriate, the policies are more supportive and the transportation is more convenient, the tourists have a higher touring preference. After the storm, tourists' touring preference aren't largely influenced by their awareness, charge standards, and recognition of touring quality, impaired transportation, but outstandingly positive by their educational degrees. In mechanism analysis, recognition of values and costs plays a key mechanism before storm, and so does recognition of risks after the storm. This paper puts forward suggestions for governments on alerting and emergency response to extreme weather, for industrial heritage resorts on making appropriate charging standards, improving touring facilities and service quality, and supplying customized services for tourist with different educational backgrounds and personalities and increasing tourists' awareness on industrial heritage and eco-environmental protection, aiming at promoting a cointegration between ecological protection and economic development in industrial heritage resorts.
    FORECASTS OF GLOBAL FPSO MARKET DEMANDS FOR 2025, 2030 AND 2035 BY A COMBINED METHOD BASED ON MULTI-ALGORITHM INTEGRATED ANALYSIS
    GUO Jingyi, WANG Ling, FANG Yutong
    2024, 26(5):  198-206.  DOI: 10.13776/j.cnki.resourcesindustries.20241029.001
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    This paper studies the market demands of Floating Production Storage and Offloading (FPSO), presents a way to forecast the global FPSO market demands. By means of a method integrated with entropy, artificial neural network, random forest regression, ADABOOST regression, and ARMA model, this paper forecasts the global FPSO orders with the results showing that FPSO needs 9 ships in 2025, 10 in 2030 and 12 in 2035, suggesting a stable rising global FPSO market demand in the future ten years. China's ship manufacturers should pay close attention on the impacts of crude oil price on FPSO market demands and use new technologies in reducing carbon emission and increasing market shares.