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    20 June 2024, Volume 26 Issue 3
    STRATEGY OF CLEAN AND EFFICIENT USE OF CHINA'S MODERN COAL CHEMICAL INDUSTRY
    NIE Chaofei, CHEN Wenhui, PENG Shiyao, et al.
    2024, 26(3):  6-20.  DOI: 10.13776/j.cnki.resourcesindustries.20240510.002
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    Abstract: Grouping of carbon capture, utilization and storage (CCUS) is a key path to clean and efficient use of modern coal chemical industry.China's current coal chemical industry has problems in increasing carbon emission intensity and high carbon reducing costs.This paper,based on the current status of China's modern coal chemical industry in production or producing capacity from producing, developing and planning projects,uses carbon dioxide capturing potential model and CCUS sourcing & sinking matching model to study the distribution,carbon emission,and carbon dioxide capturing potential,sourcing and sinking,and entireprocess costs of CCUS projects.China's modern coal chemical industry has formed in a layout of west Inner Mongolia,Shaanxi,Shanxi and Ningxia as the center,Xinjiang and Qinghai as the supplement,and east coast as the extension.Carbon emission of China's modern coal chemical industry shows a directly rising trend if considering the developing and planning projects,up to 263.88 million tons by 2020 from the developing projects, and up to 644.79 million tons from the planning projects.By 2020,carbon dioxide capturing potential of CCUS projects is up to 556.22 million tons annually,of which Inner Mongolia,Shaanxi,Xinjiang and Shanxi seat on the top,up to 148.73,99.88, 80.88 and 40.00 million tons respectively.On the basis of carbon dioxide capturing scales and pipe transporting economy,sourcing and sinking match is found well in Inner Mongolia & Shaanxi to Ordos basin, Shandong to Bohai bay basin, Xinjiang to Ordos and Junggar basin, Jiangsu & Zhejiang to Subei basin.Shaaxi, Shangdong, Jiangsu and Zhejiang are suitable for prioritizing the use of modern coal chemical industry CCUS technology from the entire process costs, carbon capturing potentials and sourcing & sinking match. 
    COUPLING COORDINATION BETWEEN ENERGY CONSUMPTION CARBON EMISSION EFFICIENCY AND ECOLOGICAL RESILIENCE UNDER “DUAL CARBON”
    ZHU Zhiming, XU Jie, LI Hongyan, et al.
    2024, 26(3):  21-35.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.004
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    Energy system entangles with ecosystem with mutual promotion and constraints.Advancement of coordination between carbon emission efficiency of energy consumption and ecological resilience is key to China's “dual carbon” strategy and quality economy.To further study their coupling coordination, this paper establishes an index system of carbon emission of energy consumption and ecological resilience based on China's 30 provinces (autonomous regions and municipalities), and applies coupling coordination model, spatial autocorrelation model and GM-ARIMA model to study 2004 to 2021 coupling coordination and its temporal-spatial evolution of China's 30 provinces in their carbon emission of energy consumption and ecological resilience, and forecasts their 2022 to 2026 coupling coordination.Their mean value 2004 to 2021 carbon emission efficiency of energy consumption and ecological resilience are less than 0.6 and 0.7, classified four coupling coordination types, basic coordinated, near mis-coordinated, light mis-coordinate, moderate mis-coordinated.From time scale, their coupling coordination during 2004 to 2021 had undergone fluctuated rising, fluctuated falling, continuously falling and stably unchanging trends.Geographically, their coupling coordination has a strong positive spatial auto-correlation with their local spatial concentrating model to be average.Forecast shows that their 2022 to 2026 coupling coordination values of scenario 2 and 3 is higher than scenario 1, suggesting decreasing carbon emission intensity can not only prevent ecological destruction,  but also boost the transformation and upgrade of energy consuming structures.
    IMPACTS OF FIXED ASSET INVESTMENT ON CARBON EMISSION IN OIL-GAS SECTOR UNDER “DUAL CARBON” OBJECTIVE
    FAN Qiufang, GAO Mengqi, LIU Haomin
    2024, 26(3):  36-47.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.006
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    This paper, aiming at the relation between fixed asset investment and carbon emission in oil-gas sector, uses China's 2002 to 2021 oil-gas sector panel data to establish a fixed effect model for exploring the impacts of fixed asset investment on carbon emission, and employs mediating effect model and stepwise regression to study the relation among fixed asset investment, R&D investment per capita and carbon emission in oil-gas sector and the impacting mechanism. Fixed asset investment in oil-gas sector has largely decreased carbon emission ratio with an impact coefficient at -1.913, which means increasing fixed asset investment in oil-gas sector can outstandingly decrease carbon dioxide emission. Regression on replacing explained variables/explaining variables and adding controlling variables confirms the above results. R&D investment per capita plays a mediating role between fixed asset investment and carbon emission ratio with a mediating value at 24.7%, fixed asset investment in the oil-gas sector significantly reduced R&D investment per capita, while R&D investment per capita can effectively limit carbon emission ratio via green technical innovation. The impact of fixed asset investment on carbon emissions in the oil-gas sector is short-term and the impact coefficient is small, while the impact on main business income is long-term and the impact coefficient is large. During stably growing and transforming periods in China's oil-gas sector, fixed asset investment difference impacts carbon emission ratio, heterogeneity test showing that there is no obvious correlation between fixed asset investment and carbon emission ratio during the stably growing period, and that fixed asset investment can largely limit carbon emission ratio during transforming/upgrading period in oil-gas sector.
    RESEARCH ADVANCES AND HOTSPOTS IN “WATER-ENERGY-FOOD” NEXUS GLOBALLY
    LI Huimin, DAI Boxin, LI Feng, et al.
    2024, 26(3):  48-61.  DOI: 10.13776/j.cnki.resourcesindustries.20240319.001
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    In order to alleviate the heavy pressure on the international community caused by the contradiction between supply and demand of water, energy and food, research of their nexus is becoming a popular subject globally. This paper, in order to understand the evolution of “water-energy-food” nexus and to provide research references, uses VOSviewer and CiteSpace to study the nexus via Web of Science data and CNKI data from paper quantities, authors cooperation and country cooperation which are visualized.Key words are uses as a focus to study the nexus's developing and changing trend over time. Research on “water-energy-food”nexus had caught lots of attention globally with a rising paper quantities during 2010 to 2022.Nations have close cooperation in research. Highly-frequent key words such as sustainable development, climate change, governance and research model can not only indicate the research is based on sustainability, but also expand its research range, perspectives and methods.Research on “water-energy-food” nexus has shifted from internal mechanism to external environment during 2010 to 2022, its methods also have changed to quantitative simulations from qualitative analysis.Temporal evolution and mutation intensity of key words suggests this research of “water-energy-food” nexus have transformed to deep analysis from preliminary attempts, and new research methods have been widely used.
    CARBON DIOXIDE REBOUND EFFECT BY CHINESE HOUSEHOLD RESOURCES CONSUMPTION FROM PERSPECTIVE OF “WATER-ENERGY-FOOD”
    CHENG Yusong, LI Yurong, ZHAO Yuhua
    2024, 26(3):  62-77.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.003
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    Carbon dioxide rebound effect is the root cause of rising carbon emission along with improving carbon emission efficiency.To further promote energy-saving-emission-reducing potential of Chinese household' resources consumption,this paper,aiming at the producing mechanism of carbon dioxide rebound effect (CRE) from household “water-energy-food” system, uses IPCC to estimate the 2015 to 2020 carbon emission of household water, energy and food consumption in China's 30 provinces, and applies changeable coefficient panel data model to calculate carbon dioxide rebound effect of household “water-energy-food” system,and analyzes its factors.2015 to 2020 carbon dioxide emission from Chinese household “water-energy-food” system in 30 provinces shows heterogeneity,generally stable from household water use,rising from household energy consumption,unchanging or falling from household food consumption.2015 to 2020 carbon dioxide rebound effect of household “water-energy-food” system can be classified as three forms,backfire effect,partial rebound effect and super-energy-saving effect.Rebound effects of household water use are partial rebound effect and super-energy-saving effect,that of household energy consumption is partial rebound effect,and that of household food consumption is super-energy-saving effect.Household usable income per capita and household size are the major factors impacting their carbon dioxide rebound effect of household “water-energy-food” system in China.The change trend of household per capita disposable income is consistent with the carbon dioxide rebound effect of household water consumption, while the change trend of household size is consistent with the carbon dioxide rebound effect of household energy consumption. 
    TEMPORAL-SPATIAL EVOLUTION OF URBAN CONSTRUCTION LAND USE EFFICIENCY IN ANHUI PROVINCE VIEWING FROM HIGH-QUALITY DEVELOPMENT
    CHEN Xiaoyu, TIAN Fengya, CAI Jun, et al.
    2024, 26(3):  78-89.  DOI: 10.13776/j.cnki.resourcesindustries.20240510.003
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    To study temporal-spatial evolution of Anhui's urban construction land  use efficiency from perspective of China's high-quality development, this paper establishes an evaluation system which uses Anhui's 2006 to 2020 data and three-phased DEA model to incorporate industrial structural coordination, technical advance coordination and inner-external development coordination into environmental factor, quantitatively analyzes Anhui's urban construction land  use efficiency, temporally and spatially, and studies the projection analysis of inputs/outputs of urban construction land in non-DEA cities. From time scale, Anhui's urban construction land use efficiency has been high during 2006 to 2020, but the upward trend has slowed, with its Malmquist total factor productivity averaging at 1.023, mainly driven by technical advances. Spatially, Anhui's urban construction land use efficiency is high in northwest-southeast city zone (Huaibei-Huainan-Hefei-Tongling) and southwest-northeast zone (Lu'an-Chuzhou), a rough crossing pattern, which will be diffusing externally, taking Huaibei and Huainan cities as the cores in the northern Anhui, and Wuhu and Hefei in the southern Anhui. Redundance analysis indicates that Anhui's urban construction land use efficiency is chiefly impacted by urban industries & green coordinated development. On inputs, the redundant number of employees in urban secondary and tertiary industries is the major factor in constraining Auhui's urban construction land use efficiency. On outputs, irrational industrial structures, insufficient ecological production and inappropriate resource allocation are the key factors.
    RATIONAL THOUGHTS ON LITHIUM RESOURCES DEVELOPMENT AND UTILIZATION UNDER NEW ENERGY BACKGROUND
    WUYugen, SI Xiang, XU Shuping, et al.
    2024, 26(3):  90-96.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.007
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    This paper uses statistic methods to study the global lithium resources distribution,development and utilization,and the demanding lithium metal led by the new energy industry,and discusses the issues in China's lithium resource exploration,development and utilization,and rationally analyzes the hot market in China's lithium resources.China's lithium battery industry is growing fast, leading to a surging demand for lithium mineral resources,which can not be satisfied by domestic supply,requiring vast imports.In 2021,China's dependence on imported lithium resources has decreased to 65% from the peak at 80% due to a rising domestic lithium resource development,to 55% in 2022,still highly depending on imports. China has advanced a lot in lithium resources exploration during the recent decade, both in theoretical research and in exploration practice,still with gaps in newly-added lithium reserve and exploration breakthrough with foreign mining giants. China's mining lithium has been increasing as lithium carbonate demands and prices are up,with issues in high mining costs and processing technologies.China's spodumene deposits,high grade,small size,limited by their geographic location, are hard to be mined, low in mining utilization.China's lepidolite deposits,large size, easy mining,but low grade and difficult processing.China's saline lithium has vast reserves,impacted by their geographic locations and high MG/Li ratio,leading to a slow rising production.China's private capitals are competing for domestic lithium exploration rights,resulting in overpayment for owning it,up to thousand times of asking price.Owning lithium exploration rights is not the ultimate objective,the owner should invest the exploration,mining and processing to provide lithium carbonate to the market,forming a sound development of industrial and supply chain.It's the essence of owning a lithium exploration right.
    COUPLING COORDINATION BETWEEN NEW URBANIZATION AND SUSTAINABLE DEVELOPMENT UNDER PROVINCIAL SCALE
    LIANG Hanwei, XIA Huaixia, CHEN Shuang, et al.
    2024, 26(3):  97-113.  DOI: 10.13776/j.cnki.resourcesindustries.20240325.001
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    China's rapidly-growing new urbanization has adversely affected China's regional sustainable development, which has also been challenged by rising global warming and extreme climate events. Study on the coupling coordination between new urbanization and sustainable development has become an imperative task in advancing China's high-quality economic growth. This paper, based on 2003 to 2019 population, economic, social and eco-environmental data of China's provinces, uses comprehensive index of new urbanization and environmental enhanced sustainable development index(ESDI)to establish a coupling coordination model and Gray Forecast Model GM(1, 1), which are applied to study the temporal-spatial evolution of coupling coordination between new urbanization and sustainable development and its developing trend. China's sustainable development largely varies with provinces, quantity of provinces with low ESDI first increased and then fell during 2003 to 2019, while those with high ESDI continuously rose. China's provinces are basically disordered or basically coordinated in their coupling coordination degree, generally showing a changing trend from basically disordered to basically coordinated, leaving most provinces’ new urbanization in lagging or blocked. This paper predicts that from 2020 to 2024, the coupling coordination degree between new urbanization and sustainable development are in basically coordinated in China's 20 provinces, 9 in basically disordered, and only Inner Mongolia in extremely disordered.
    COUPLING COORDINATION BETWEEN RESOURCES ENVIRONMENT AND ECONOMIC DEVELOPMENT IN TIANSHUI CITY
    DU Kaili, CHEN Xuegang
    2024, 26(3):  114-124.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.001
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    To study their coupling coordination between resources environment and economy in Tianshui City, this paper establishes an index system to evaluate Tianshui's resources environmental carrying capacity and economic development level, and uses entropy and comprehensive indictors to measure Tianshui's 2010 to 2021 resources environmental carrying capacity and economic development level, and applies coupling coordination model to study their coupling coordination, and employs obstacle model to identify the major obstacles impeding Tianshui's resources environmental carrying capacity and economic development level.Tianshui's comprehensive evaluation index of 2010 to 2021 resources environmental carrying capacity shows a rising trend, up to 0.839 5 in 2021 from 0.120 1 in 2010, and its comprehensive evaluation index of economic development level also has increased to 0.866 9 in 2021 from 0.184 5 in 2010.The both's coupling coordination degree value has waveringly climbed to 0.635 1 in 2021 from 0.272 8 in 2010, with coupling coordination class raised to preliminary coupling from intermediate disordered, suggesting an improving coupling coordination degree during 2010 to 2021.The major obstacles against Tianshui's resources environmental carrying capacity include seven factors, water resource per capita (X2), population density (X3), industrial waste gas discharge (X6), industrial solid waste discharge (X8), proportion of the 2nd industry (X12), proportion of the 3rd industry (X13),  Engel's Coefficient (X16).And six obstacles against Tianshui's economic development level include total retail sales of consumer goods (Y4), proportion of the 1st industry (Y5), proportion of the 3rd industry (Y7), per capita disposable income of urban residents (Y8), per capita disposable income of rural residents (Y9), and Engel's Coefficient (Y10).All obstacles above suggest that Tianshui's coordination between resources environment and economic development be jointly constrained by natural resources, environmental protection, economic strength, economic structure and people's living levels.
    TEMPORAL-SPATIAL ANALYSIS OF ECOSYSTEM'S SERVICING VALUES IN DEQING COUNTY
    SUN Chenyang, LIU Yuzhu, TIAN Tao, et al.
    2024, 26(3):  125-133.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.008
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    Evaluation of eco-system's servicing values provides a vital basis for land resources allocation, eco-environmental protection, carbon trading and ecological compensation standard, also one of the hot topics in research academy. Estimation of countywide eco-system's servicing values based on grid is key to countywide quality development.This paper, based on a case study on Deqing county, Huzhou city, Zhejiang province, uses Deqing's 2010, 2015 and 2020 land and economy data, using the method of material quality evaluation and its synergy and trade-off analysis to estimate Deqing's eco-system's servicing values, including their geographic distribution and temporal changes, and analyzes their correlation in Deqing and Deqing's townwide.Deqing's eco-system's servicing values reach to 3.033 7 billion CNY in 2010, 3.590 6 billion CNY in 2015 and 3.880 6 billion CNY in 2020, a rising trend.On their geographic distribution, eco-system's servicing values in the western are higher central and eastern.Temporal changes of eco-system's servicing values in 2010, 2015 and 2020 show a rising trend in Deqing's townwide.Correlation among Deqing's eco-system's servicing values shows a tradeoff relation between supply value and carbon sinking, oxygen releasing, water resources conservation, soil maintaining and organic matters producing, a synergistic relation among carbon sinking, oxygen releasing, water resources conservation, soil maintaining and organic matters producing in most Deqing's townwide.
    ECONOMIC FEASIBILITY OF GREEN HYDROGEN REPLACING GRAY HYDROGEN IN CHINA'S PROVINCES BASED ON WIND AND PHOTOVOLTAIC POWER GENERATION:BASED ON DETAILED GEOGRAPHIC GRID ANALYSIS
    ZHANG Rongda, ZHAO Xiaoli, ZHANG Qingbin, et al.
    2024, 26(3):  134-146.  DOI: 10.13776/j.cnki.resourcesindustries.20240513.001
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    To further study the economic feasibility of green hydrogen energy to replace gray hydrogen energy in China's provinces based on wind power generation and photovoltaic power generation, this paper uses remote sensing to analyze the occurrences of renewable energies in China's geographic grids unit,and calculates China's provinces demand for hydrogen,gray hydrogen producing cost,green hydrogen producing cost,average transporting distance and using cost,which are employed the above data to explore the economic feasibility and volumes of green hydrogen energy to replace gray hydrogen energy in China's provinces and to forecast its outlook.Wind power generation and photovoltaic power generation work well in Inner Mongolia,Xinjiang ,Hebei and other individual northern provinces. In 2022, the cost of using green hydrogen in some regions of Inner Mongolia, Xinjiang, Hebei and other provinces has been lower than the cost of using gray hydrogen China's green hydrogen energy has a total quantity 518.0 to 3 356.2 kt in replacing gray hydrogen in 2022, expected to be rising up to 41 680 to 81 760 kt in 2040 as technology on wind power generation,photovoltaic power generation and electrolyzer is advancing and carbon trading price is rising,even up to 279 000 to 480 000 kt in 2060. In 2040,the demand for hydrogen and the amount of green hydrogen produced in various provinces in China are quite different,green hydrogen production is relatively higher in Inner Mongolia,Xinjiang,Gansu and Qinghai,with a total supply of 13.52 to 34.10 million tons to other provinces,while green hydrogen production is insufficient in Ningxia, Shanxi,Sichuan and Henan,where need a 5.16 to 9.46 million tons to meet their needs.
    IMPACTS OF RESOURCE SYNERGY ON FIRMS' DIGITALIZED TRANSFORMATION BASED ON UNCERTAIN ADJUSTMENT OF ECONOMY POLICIES
    DU Xiaorong, HUANG Tongxin
    2024, 26(3):  147-159.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.002
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    Firms' digitalized transformation is becoming an unavoidable path to quality development of China's microscopic economic majority, and also a new drive to Chinese firms' upgrade and transformation. Resources synergy plays a critical role during firms' digitalized transformation. Uncertain economy policies may impact firms' will in innovation and investment. This paper, based on 2011 to 2019 A-listed manufacturing firms data in Chinese stock market, uses coupling coordination model to measure firms'  resources synergy, and applies multiple regression model to explore the impacts of resources synergy on firms' digitalized transformation and to study the adjustment of uncertain economy policies on between resources synergy and firms'  digitalized transformation. Resources synergy is positively correlated with firms' digitalized transformation, meaning it promotes the latter. Mechanism of firms' technical innovation on between resources synergy and digitalized transformation indicates that resources synergy can boost firms' digitalized transformation through enhancing firms' technical innovation. Uncertainty of economy policies will adversely affect the promotion of resources synergy on firms' digitalized transformation, the higher uncertainty, the weaker the positive impact. Compared with state-owned and non-east firms, the positive driving of resources synergy on firms' digitalized transformation works more on private and east firms. This paper presents suggestions on fulfilling the impacts of resources on firms' digitalized transformation, consolidating resources to increase their coupling coordination so as to raise the whole operating efficiency on firms' resources, improve the policy support system that can promote the digital transformation of firms, and minimize the uncertainty of economic policy, formulating and implementing appropriate policies to promote digital transformation of firms, in order to address the heterogeneity of digital transformation among different types of firms in China.
    IMPACTS OF RESOURCES TAX ON LABOR EMPLOYMENT UNDER TECHNICAL INNOVATION
    RONG Yi, HU Haisheng
    2024, 26(3):  160-170.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.009
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    Resources tax plays a key role as a environmental-stimulating policy in increasing resources using efficiency and speeding up economy during implementing China's green strategy,but researchers are in disagreement with its impacts on employment.This paper, based on 2008 to 2021 panel data of China's 30 provinces (autonomous regions and municipalities), uses threshold regression model with technical innovation as threshold variable to study the threshold effects of resource tax on employment under different technical innovation levels,and compares their impacts between China's developed and underdeveloped areas. This result has been verified in its stability through using bilateral tail reduction, lagging threshold variable and adding new controlling variables, aiming at provide a theoretical reference and policy suggestions for leveraging “dual bonus” of resource tax.Resources tax exerts a non-linear impact on employment,adversely impacting employment at the beginning of taxing, switching to positively over the time.Technical innovation plays a threshold effect between resources tax and employment,resources tax largely promotes employment as technical innovation level is continuously rising, boosting its role of “dual bonus”.Resources tax plays a threshold effect on employment in developed areas, largely promoting employment when technical innovation level is above the threshold value.It has no threshold effects in underdeveloped areas.Promotion of employment will be more outstanding in developed areas than in underdeveloped areas if at the same technical innovation level.
    OBSTACLES AND APPROACHES TO PRODUCTIVITY ELEMENTS TO COUNTRYSIDE BASED ON COUNTY S'S PROJECT J
    LI Jianxing, CHEN Jinfu, CHEN Zao, et al.
    2024, 26(3):  171-179.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.005
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    Bidirectional flowing of urban-rural elements is a key to supporting urban-rural integrated development,which is based on the free bidirectional flowing of the productivity elements.Howeve,China's current urban-rural elements only show a directional flowing from rural to urban, obstacles exist from urban to rural.To further study the obstacles of productivity elements to countryside,this paper,based on a case study on County S's Project J,finds out the major obstacles.There are components unfitting modern agriculture and rural tourism in China's current rural land regime, policies and operation,resulting in obstacles in obtaining agricultural land use and rural construction land use.This paper presents the following suggestions.China should implement shareholding reform on agricultural land use based on land right determination, managing agricultural land in a whole from pieces,a path to scaled agricultural land circulation. China should reform township division to break the administrative obstacles in land circulation.China should reform rural collective operating construction land use by optimizing land-to-market mechanism,which can use rural scattering and idling land as a whole and provide spatial holding places for productivity elements to countryside.China should optimize the geographical layout of collective rural construction land use, fulfilling its functions in concentrating industries, guaranteeing social services and promoting cultural development to combine the major urban downtowns with regional towns.It serves as a path for productivity elements to countryside.
    IMPACTS OF CORPORATE COLLECTIVISM CULTURE ON ORGANIZATIONAL RESILIENCE FROM PERSPECTIVE OF SOCIAL NETWORK
    ZHANG Yang, WANG Yuxin, TIAN Ming
    2024, 26(3):  180-194.  DOI: 10.13776/j.cnki.resourcesindustries.20240510.001
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    To further study the relation of corporate collectivism culture with organizational resilience,this paper,from perspective of social network, uses 2012 to 2021 China's A-listed companies' panel data to study the impacts of corporate collectivism culture on organizational resilience, and the mediating effect of corporate commercial social capital/political social capital on between corporate collectivism culture and organizational resilience.Impacting coefficient of corporate collectivism culture on organizational resilience is 0.513 7,outstanding above 1%, suggesting a positive promotion or corporate collectivism culture on organizational resilience.Regression coefficient of corporate collectivism culture on corporate commercial social capital is 11.941 9,outstanding above 5%, suggesting a positive relation that corporate collectivism culture promote accumulation of corporate commercial social capital.Impacts of corporate collectivism culture on organizational resilience is still obvious after adding the intermediary variable of corporate commercial social capital,with regression coefficient at 0.517 1,outstanding above 1%. Regression coefficient of corporate commercial social capital on organizational resilience is 0.000 3,outstanding above 5%,suggesting a mediating role of corporate commercial social capital between corporate collectivism culture and organizational resilience.Regression coefficient of corporate collectivism culture on corporate political social capital is 0.935 4, outstanding above 10%,suggesting a positive relation that corporate collectivism culture can promote the accumulation of corporate political social capital. Impacts of corporate collectivism culture on organizational resilience is still outstanding after the mediating variable corporate political social capital,with its regression coefficient at 0.508 7, outstanding above 1%. Regression coefficient of corporate political social capital on organizational resilience is 0.005 4, outstanding above 10%,suggesting a mediating role of corporate political social capital between corporate collectivism culture and organizational resilience.
    DECOMPOSITION OF THE DRIVERS OF CARBON EMISSIONS FROM ECONOMIC OPERATIONS AND RESIDENTS' LIVINGS IN REPRESENTATIVE PROVINCES IN CHINA
    HUANG Weida, WU Jun, YANG Peng, et al.
    2024, 26(3):  195-209.  DOI: 10.13776/j.cnki.resourcesindustries.20240509.010
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    China's provinces (autonomous regions and municipalities) vary in their economic development,industrial structures,energy consuming modes, which complicates their carbon emission features.To identify their carbon emission drives in different provinces can help reach China's strategy of “dual carbon”. This paper uses Q-type cluster to divide China's 30 provinces into 4 clusters: leading, exploring, reforming and troubling based on GDP per capita and carbon emission intensity,and presented by Beijing, Sichuan, Tianjin and Inner Mongolia respectively.LMDI is used to study their 2000 to 2019 driving factors for increasing carbon emission from economic operations and residents' livings. Beijing,Sichuan,Tianjin and Inner Mongolia's carbon emission shows a rising trend by population effect of economic operations and GDP per capita effect of economic operations, a declining trend by structural effect of economic operations, energy consuming intensity effect of economic operations,energy structural effect of economic operations.Their carbon emission driven by population effect of residents' livings and energy consuming intensity effect of residents' livings displays a rising trend.Beijing and Tianjin's carbon emission shows a declining trend due to urbanization effect of residents' livings, while a rising trend in Sichuan and Inner Mongolia. Carbon emission driven by energy structural effect of residents' livings has been falling in Beijing, Sichuan and Inner Mongolia,but rising in Tianjin.