Table of Content

20 February 2022, Volume 24 Issue 1

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RELATION BETWEEN CHINESE GLOBAL GEOPARK MANAGEMENT AND COUNTYWIDE SUSTAINABLE ECONOMIC DEVELOPMENT

MA Junjie, ZHANG Jianping, LIU Xiaohong, et al

2022, 24(1):  1-7.  DOI: 10.13776/j.cnki.resourcesindustries.20220221.001

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This paper, based on the statistical analysis of economic and social development of the counties where 41 Chinese global geoparks are located, aims at the issues in the development of Chinese global geoparks, draws on the development concept of global geoparks, and presents suggestion for sustainable economic development of the counties. It concludes that the counties have largely improved in fiscal revenue, total retail sales of consumer goods, and three industrial structural optimization in the three years after they have global geoparks. This paper suggests that China intensify database construction of population, resources, ecological environment, economy and social development, history and culture. China shall use “Statutes of international geoscience and geoparks programme” and “Operational guidelines for UNESCO global geoparks” to manage and develop Chinese global geoparks, boost the internal communication among Chinese global geoparks network, explore the management mode and development path of global geoparks with Chinese characteristics, integrate geological parks construction and development with “Two Mountains” theory and green development concept to jointly promote sustainable economic development of the counties where geoparks are located.

THEORY AND RESEARCH ADVANCES IN WHOLE INDUSTRIAL CHAIN OF STRATEGIC MINERAL RESOURCES

AN Haizhong, LI Huajiao

2022, 24(1):  8-14.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.007

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The world enters a new period of the fourth industrial revolution and the sixth technical revolution. The emerging new industries stimulate the demands of such mineral resources as lithium, cobalt, nickel and rare earth elements. To secure safe and sustainable development of strategic new industries, the major nations and economic units boost a guarantee of their strategic and key minerals, and issue a catalogue of strategic and key minerals appropriate for their situation. Mineral resources security refers to not only up-stream supply security, but also processing and transportation security. This paper, based on the latest policies and catalogues of China, USA, Europe and Japan, gives a summary from three aspects, namely the whole industrial chain definition of strategic mineral resources, research advances and research challenges. It also presents four frontier subjects for researching industrial chain of strategic mineral resources: whole industrial chain system margin and new content of resources security viewing from whole industrial chain, the complicated system construction of "trade-production-circulation" whole industrial chain, approaches to sustainable development of whole industrial chain of mineral resources with carbon peak and carbon neutrality objectives, and interactive mechanism among innovative chain, value chain, industrial chain, supply chain and capital chain.

CARBON SINK POTENTIAL OF BEIJING'S FOREST UNDER CARBON PEAK AND CARBON NEUTRALITY

ZHANG Ying, LI Xiaoge

2022, 24(1):  15-25.  DOI: 10.13776/j.cnki.resourcesindustries.20210907.001

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This paper estimates the carbon stock and values of Beijing's forest resources, and forecasts forest carbon stock and carbon sink potential, and provides references for Beijing national forest city construction, realization of carbon neutrality goal. This paper, based on Beijing's forest survey data from 1973 to 2018, uses forest volume method to estimate the total carbon storage and changes of Beijing's forest resources, measures the carbon storage and value of different forest types, and applies GM(1, 1) grey model and power function model to forecast the carbon sink potential of Beijing's forest resources. Beijing's unit forest stock volume has been 29.98 m³/hm² over four decades, far below the nation's average of 73.56 m³/hm², leaving room for increment. The total carbon storage increases to 34 765.1 kt from 5 718.0 kt with a yearly rising rate 691.6 kt, of which forest carbon storage increases to 11 577.5 kt from 1 018.8 kt with a yearly rising rate 251.4 kt. Forest carbon  density increases to 16.12 t/hm² from 5.09 t/hm², far below the nation's average of 41.50 t/hm². Forest carbon storage value increases to 1 430.886 1 million Yuan in 2018 from 67.066 6 million Yuan in 1976 by a yearly rising rate 32.471 9 million Yuan, amounting to a compound yearly rising rate 7.56%, of which artificial forest carbon storage value has a yearly rising rate 13.70%. Beijing's forest carbon storage is forecasted to be 22 556.9 kt by GM(1, 1), carbon sink to 915 kt/a from 2018 to 2030, forest stock volume to 47 488.3 km³ in 2030. Forest storage is forecasted to be 29 318.2 kt in 2030 by power function,  carbon sink to 1 478.4 kt/a from 2018 to 2030, forest stock volume to 61 722.6 km³ in 2030, and forest coverage to 61.77%.  Forecast results indicate that Beijing's forest city planning objectives, carbon peak and carbon neutrality can be realized. This paper concludes that Beijing's forest storage and value have increased since 1976 based on forest biomass and stock volume changes without considering economic and political factors. Beijing has a big forest carbon sink potential which may largely contribute to Beijing's carbon peak and carbon neutrality.

SUPPLY SECURITY OF CHINA'S TITANIUM RESOURCE BASED ON ENTROPY TOPSIS MODEL

QU Jinzhi, ZHANG Yansong, ZHANG Yan, et al

2022, 24(1):  26-36.  DOI: 10.13776/j.cnki.resourcesindustries.20210708.001

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In order to study China's titanium security under complicated situations, this paper establishes an evaluation index system of titanium resource security, and uses entropy TOPSIS model to assess China's titanium resource supply security in 2000 to 2020. According to China's economy trend and external security environment,this paper defines the content of mineral resource security, and presents four dimensions needing attention, supply risk, demand situation, market risk and geographical security, which are further decomposed into 8 indexes such as commercial environment, domestic and international supply potential, consumption acceleration. Entropy is used to calculate the weights of indexes and a weighted matrix of China's titanium resource security evaluation is established. TOPSIS model is applied to determine the positive and negative  ideal values of indexes, whose distance to China's titanium resource security evaluationis estimated by means of Euclidean distance, so that China's titanium resource supply security over time is evaluated. Importance of demand situation, supply security, geographical security and market risk to China's titanium resource security decreases, with major factors including external dependence (25.9%), domestic supply potential (17.4%), supply channel security (13.4%) and commercial environment (12.3%). The overall security indicator has decreased from 0.842 in 2000 to 0.290 in 2020, 0.125 to 0.008 in military security, 0.297 to 0.024 in supply security, and 0.122 to 0.024 in commercial environment, suggesting a worsening titanium supply security situation. The chief constraints on China's titanium resource security are poor resource transportation channel for military security, unstable political environment of exporters and fast domestic consuming capability. This paper presents suggestions on intensifying military transporting capacity, guaranteeing oceanic transportation, participating in global mining industry, establishing new mining pattern, optimizing operating mechanism and supporting overseas mining investment.

ANALYSIS AND FORECAST ON COUPLING COORDINATION BETWEEN TECHNICAL INNOVATION AND WATER RESOURCES ENVIRONMENT IN ZHEJIANG PROVINCE

TONG Jixin, REN Dingwei

2022, 24(1):  37-45.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.011

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This paper explores the coupling coordination between technical innovation and water resources environment in Zhejiang province, and forecasts its tendency so as to provide references for Zhejiang's green development, water resources environmental protection and high-quality development based on Zhejiang's 11 cities' technical innovation and water resources data from 2010 to 2019. A comprehensive evaluation index system is established with its indexes' weights determined via entropy, AHP and minimum relative information entropy, which is used to estimate the comprehensive evaluation values of technical innovation system and water resources environment system. Coupling coordination model is used to calculate the coupling coordination of the two systems. GM(1, 1) model is employed to forecast the coordination tendency in the next six years. The development levels of Zhejiang's technical innovation system and water resources system in 2019 are 0.398 1 and 0.458 7 with an annual increasing rate 14.62% and 3.94%. Technical innovation has a faster developing rate. The two systems vary with regions. The coupling coordination shows an increasing trend with Zhejiang's overall coupling coordination rising from 0.411 3 to 0.636 8, near disordered from 2010 to 2013, fairly ordered from 2014 to 2017, preliminarily ordered from 2018 to 2019, forecasted to be well ordered in next six years with a lagging annual increasing rate from 4.98% to 4.58%. The coupling coordination shows geographically a pattern of north-high-south-low, east-high-west-low, with forecasted no outstanding changes in next six years.From 2010 to 2019, Zhejiang pays much attention to technical innovation, optimizes water resources environment, and promotes a collaborative development between technical innovation and water resources environment, but spatial differences exist. This paper presents suggestions on boosting technical innovation, improving water resources environment, preventing a lagging coupling coordination, and reducing regional variance so as to reach a better coordinated development between technical innovation and water resources environment.

SIMULATED INDUSTRIAL OPTIMIZATION OF YELLOW RIVER BASIN BASED ON IMPROVED SIR MODEL

YIN Qingmin, ZHU Qing

2022, 24(1):  46-54.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.003

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The objectives of this paper are to evaluate industrial structural rationalization and escalation of the Yellow River Basin, study the factors of industrial structural development, and provide suggestions for optimizing industrial structure. According to 2009-2018 three industries production data and employment in the Yellow River Basin, this paper uses Hamming osculation and Moore structural index to estimate industrial rationalization and escalation, and applies improved SIR model to study the optimization factors under unmarked grid. Geographically, Hamming osculation between industrial production structure and employment structure is highest in the down-reach, followed by the middle- and then the upper-reach, average at 0.783 4 in the upper-reach, 0.795 6 in the middle- and 0.817 6 in the down-reach. Temporally, rationalization is gradually rising with an escalating industrial developing trend in general with variance among the three reaches. Industrial structural escalation is highest up to 8.792 0 in the down-reach, 6.296 0 in the middle- and 6.305 5 in the down-reach. Industrial structural changing rate has increased by 14.297 4(from 1.597 7 in 2009 to 15.895 1 in 2018) in the down-reach, by 9.183 4 in the middle- and by 9.536 9 in the upper-reach, displaying a pattern of rising upper-reach, fluctuating middle-reach and leading down-reach. Adjusting industrial influence has little impact on industrial structural optimization, if industrial initial proportion, industrial optimization success ratio and failure ratio keep constant. However, industrial optimization may be largely improved if it is possible to increase industrial optimization success rate and the re-optimization possibility of failed industries. This paper presents suggestions on boosting industrial optimization, upgrading failed industries, using "the Belt and Road" policy to intensity innovation in the middle- and upper-reach, and focusing on information technology and industrial cooperation in the down-reach.

TEMPORAL-SPATIAL EVOLUTION OF PM_2.5 IN HUAI RIVER ECO-ECONOMIC BELT

PANG Qinghua, XIANG Min, ZHOU Weimo

2022, 24(1):  55-64.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.013

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 This paper analyzes the temporal-spatial evolution of urban air pollution in the Huai River Eco-economic Belt, explores urban air pollution changes with neighboring areas and provides references for making policies of air pollution control and prevention. According to PM_2.5 data of 28 cities in the Huai River Eco-economic Belt from 2015 to 2019, this paper uses descriptive statistics and Markov Chain to study the temporal-spatial evolution of air pollution and the urban air pollution type changes with neighboring air pollution types. The results show a decreasing air pollution with the feature of low-in-summer and high-in-winter. However, PM_2.5 is still above state's tier II threshold except months of July, August and September, and air pollution is still severe. Low or relatively low air pollution is stable, but medium or high air pollution are unstable, probably apt to turn into other pollution types and much impacted by spatial locations. Neighboring air pollution types unevenly impact urban air pollution type changes under different spatial lagging. Air pollution types display a decreasing spatial evolution pattern from northeast to southwest, with a tendency to low pollution generally and a diminishing regional difference. This paper concludes that the Huai River Eco-economic Belt has a decreasing urban air pollution with seasonal impacts and spatial difference. This paper presents suggestions on collaborating air pollution control and prevention through the across-regional collaboration system and air quality evaluation system.

QUANTITATIVE RESEARCH ON AIR POLLUTION CONTROL POLICY TEXTS BASED ON BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER

SHEN Weining, XIA Ziying, SU Shuang

2022, 24(1):  65-72.  DOI: 10.13776/j.cnki.resourcesindustries.20211122.001

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This paper, based on texts of air pollution control policies in JJJ city cluster, discusses the cooperative intentions of local governments and provides references for trans-regional air pollution  collaborative controls. This paper uses 2009-2019 air pollution policies in JJJ city cluster to establish an analytical framework composed of time, issuers, types, word frequency, tools and counts, and to determine its evolutionary rule. Viewing from time scale, the air pollution control policy undergoes preliminary developing stage, stable transitional stage and  stable control stage. Issuers vary with administrative regions, diversified in Beijing, Tianjin and Shijiazhuang, but comparatively single in other cities as governments. Text types are mainly notice, amounting to 73% with lower frequency in other forms.Word frequencies are highly concentrating on "pollution" "enterprise" and "control", respectively from 164, 127 and 110  policies. Policy tools are mainly on controlling, amounting to 43.57% in counts, far above marketing and volunteering tools. Policy counts vary with cities, less in collaboratively issuing policies, meaning a low collaboration in air pollution control and an insufficient interaction. This paper concludes that air pollution control in JJJ city cluster is a long-term and hard systematical project, which can be achieved by focusing on diversified control models, reconstructing new government network and improving collaborative controlling skills.A trans-regional collaborative mechanism of air pollution control needs to be formed to mutually control air pollution and stabilize trans-regional collaboration.

MULTI-SCALE RESEARCH ON COUPLING COORDINATED DEVELOPMENT OF URBANIZATION AND ECOLOGICAL ENVIRONMENT IN THE MIDDLE REACH OF YANGTZE RIVER

WU Jiao, LIU Run, HUANG Min

2022, 24(1):  73-85.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.008

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The middle reach area of the Yangtze River is the transmission area for development of eastern, central and western China. It is also a key area in promoting new urbanization. Research on its coupling coordinated development of urbanization and ecological environment can provide references for the high-quality development of new urbanization in the middle reach of the Yangtze River. This paper establishes an evaluation index system of urbanization and ecological environment, and uses coupling coordinated model to study its temporal-spatial pattern of coupling coordination between urbanization and ecology in the middle reach of the Yangtze River in 2005, 2010, 2015 and 2017 at the scales of the entire middle reach of the Yangtze River, among city clusters, internal and external city clusters and citywide. GeoDa is used to test the overall and local auto-correlation. The results show a growing urbanization and ecological environmental level with coupling degree at antagonistic stage and coordination degree in the transition from preliminary imbalance to preliminary coordination. The overall coordinated degree of middle reach of the Yangtze River is 0.53. Urbanization is continuously rising among the four city clusters, with a fluctuated ecological environmental level. All city clusters are at a preliminary coordination in 2017, except Changsha-Zhuzhou-Xiangtan city cluster whose coordination reaches 0.6, a medium coordination. Both internal and external coordination of city clusters are from 0.57 to 0.62, which is a small gap. Spatial difference exists in coordination and coupling of city wide urbanization and ecological environment, with central cities being of prior-developing advantages. The rising coordination is mainly contributed by state supportive policies, industrial transformation, and local development. Spatial difference of coordination is mainly concentrated in Anhui and Hubei. High-high concentrating area is the eastern Jiang-Huai city cluster, and low-low is almost none. This paper concludes that the coupling coordinated development of urbanization and ecological environment in middle reach of the Yangtze River is growing but relatively low, with regional gaps. There is still a long way to realize the high-quality development.

WUHAN'S INDUSTRIAL SPATIAL PATTERN BASED ON POI DATA

CHEN Cuifang, CHEN Xiaoli

2022, 24(1):  86-95.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.004

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his paper analyzes the spatially differentiated agglomeration of Wuhan's industries and marks Wuhan's industrial zoning structure so as to  provide references for Wuhan's industrial structural optimization and sustainable development. POI data is used for industrial classification. ArcGIS is applied to study Wuhan's industrial agglomerating features with its spatial core density method. Standard variance eclipse is used to estimate industrial center and development direction. Industrial spatial pattern is used to mark Wuhan's industrial zoning structure. Wuhan's agriculture and forestry show an agglomerating trend of "two cores, multiple points"; mining shows a massive with multiple points agglomerating trend in Huangpi and Jiangxia districts; other industries show "downtown core, rural multiple points" agglomerating trend, with subcenter of the third industry being around the new town. Industrial development is NE-SW oriented, of which the manufacturing, construction and the third industry are outbound along Yangtze River in the downtown areas. Wuhan's industrial development is of typical zonation. The outer zone is composed of the first industry and mining; the middle zone is composed of the 2^nd industry(except mining), public administration, social security, social organization, education, information transmission, software and information technology service; and the inner zone is composed of medical, water, environment and public service. Wuhan may rely on land and air transportation centers and technical advantages in the future, and lead industries to NE-SW as clusters in a pattern of "one core, multiple points, three zones" with the core of high-quality servicing, the middle zone of modern specific servicing and advanced manufacturing, the outer zone of rural new industries. This paper presents suggestions on keeping optimizing industrial structure and pushing high-quality industrial development.

REGIONAL INTEGRATION, INNOVATION CAPABILITY AND GREEN DEVELOPMENT: A CASE STUDY ON YANGTZE RIVER ECONOMIC BELT

CAO Ying, ZHOU Qin

2022, 24(1):  96-106.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.002

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This paper uses super-efficient DEA model with non-expected output to measure green total factor productivity based on 1998-2017 panel data of 11 provinces in the Yangtze River Economic Belt, uses relative price variance to mark the market integration, and uses dynamic spatial Dubin model with one-stage-lagging green total factor productivity to conduct a regression analysis. The result shows that the green total factor productivity displays a U-shaped trend with the lowest value at 0.492 in 2006, and geographically, the upper-, down- and middle-reach are in a decreasing order. The integration index displays a spirally rising trend, up to the maximum of 1.527 in 2014, with an average value of 0.687 annually, highest in the middle-reach, followed by the upper-reach and then the down-reach. The green total factor productivity is of strong temporal inertia and spatial overflowing. Regional integration firstly constrains and then promotes the green development, while the innovation capability does little in the whole Yangtze River Economic Belt, but much in the middle-reach. Innovation capacity is expanding with an average mutual coefficient 0.1, promoting the green development under the setting of regional integration. Innovation cooperation is a pathway to green development in the upper-reach; a combination of regional integration and innovation capacity impacts ecological environment in the middle-reach; and the higher integration is, the lower green development efficiency is in the down-reach. This paper concludes that regional integration can boost green development after it reaches a certain level. A combination of regional integration and innovation capacity can improve the ecological environment in the Yangtze River Economic Belt. This paper presents suggestions intensifying regional cooperation and innovation, making appropriate policies, seeking innovative saving-energy-reducing-emission technical cooperation and decreasing low-efficient innovation input.

SPATIAL OVERFLOWING EFFECT OF HETEROGENEOUS ENVIRONMENTAL REGULATIONS ON WATER ENVIRONMENTAL POLLUTION: A CASE STUDY ON YANGTZE RIVER ECONOMIC BELT

SONG Min, ZHANG Yuanyuan

2022, 24(1):  107-114.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.009

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This paper studies the current water pollution in the Yangtze River Economic Belt temporally and spatially, explores the impacts of heterogeneous environmental regulations on water environmental pollution and provides references for promoting appropriate use of water resources and green development. Based on eleven provinces' panel data from 2009 to 2019, this paper studies the temporal-spatial features of water environmental pollution, and uses Moran's Index to analyze its spatial auto-correlation, and applies spatial Dobbin model to elaborate the spatial overflowing effect of heterogeneous environmental regulations. The results show that water environmental pollution discharge is rising, faster in the upper-reach, slower in the middle- and down-reach under certain controls. The water environmental pollution is of clear spatial distribution showing a decreasing trend from down-reach to upper-reach. Command-controlling regulations can obviously restrain water environmental pollution discharge, especially under the economic matrix; however, market-stimulated environmental regulations do the contrast, and public-volunteer environmental regulations do little. Command-controlling environmental regulations have a negative spatial overflowing effect on water environmental pollution of neighboring provinces/cities; market-stimulated environmental regulations do less, and public-volunteer environmental regulations do little, which means public involvement should be intensified. It concludes that the Yangtze River Economic Belt is still not good in water environmental pollution, which needs further controls. Although command-controlling regulations are the best means to curb water environmental pollution, public involvement shall also be taken into consideration. Appropriate approaches vary with areas. This paper presents suggestions on cultivating space awareness and boosting collaborative controls.

DECOUPLING STUDY ON INDUSTRIAL WATER USE AND ECONOMIC DEVELOPMENT IN YANGTZE RIVER DELTA REGION

ZHANG Hengquan, XU Tiantian, ZHANG Chenjun

2022, 24(1):  115-125.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.005

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This paper measures the decomposition effects of industrial water use factors in the Yangtze River Delta region, analyzes the decoupling status and relation between industrial water use and economic development, and offers references for making industrial water use policies, mitigating water consumption, and boosting a high quality green development in the Yangtze River Delta region. Based on temporal data in the Yangtze River Delta region from 2001—2018, this paper uses LMDI model to decompose the factors of industrial water use changes, and applies Tapio elasticity index to study the decoupling relation between industrial water use and economic development. A decoupling effort model is built with removal of economic output effect, which is used to analyze the decoupling effort extent of the other factors of industrial water use reduction. The factors of industrial water use could be decomposed to four major effects. Water-saving technology has an accumulative effect of -73.101 billion m³, which mainly inhibits the increase of industrial water use. Industrial structure and population have an accumulative effect of 64.4 billion m³ and 71.08 billion m³, both increasing industrial water use. The decoupling state of the Yangtze River Delta region shifts from weak decoupling to strong decoupling on the whole, varying with provinces/cities. Decoupling effort index of water-saving technical effect, the biggest contributor to decoupling, is always above 0, while that of industrial structure effect and population effect is normally below 0, small and varying with provinces/cites. This paper concludes water-saving technical advance is the chief factor to restrain the increase of industrial water use; industrial structural adjustment is the minor factor to reduce industrial water use, while the economic output and population effects are the major factors that lead to the increase of industrial water. Therefore, in order to achieve the balanced development between economic and environment, the Yangtze River Delta region should improve water-saving technologies, strengthen policy guidance, promote industrial upgrading and accelerate economic transformation.

REGIONAL DIFFERENCE OF RELATION BETWEEN REAL ESTATE ENTERPRISES SOCIAL RESPONSIBILITIES AND FINANCIAL CONSTRAINTS

SHU Huan, LI Yan

2022, 24(1):  126-135.  DOI: 10.13776/j.cnki.resourcesindustries.20211221.001

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This paper estimates real estate enterprise's social responsibilities and financial constraints, determines the regional difference of their relation, and provides references for real estate enterprise to mitigate financial constraints based on their social responsibilities. This paper, based on China's A stock-listed real estate enterprises' data from 2012 to 2019, uses Hexun website data and financial data to mark enterprises' and stakeholders' social responsibilities, uses acting variables' SA index to mark financial constraints, and divides them into east, central and west economic zones. Multiple regression model is applied to compare the entire and subsidiary enterprises' social responsibilities and financial constraints relation within the three economic zones. China's real estate enterprises' social responsibilities have an average score of 34.145, high in the east economic zone, followed by the central and then the west. The average financial constraints level is -3.787 nationwide, indicating a hard financial environment, strongest in the west, followed by the east and then the central. Real estate enterprises' social responsibilities are negatively related with financial constraints in each area or even in the whole nation, which means enterprises with better social responsibilities have less financial constraints. The east economic zone, compared with the central and west zones, has the strongest negative relation, outstandingly above 1%. Social responsibilities of real estate enterprises on stakeholders and creditors negatively impact their financial constraints, but do little on their responsibilities on society; Social responsibilities of real estate enterprises on government, consumer, employee and supplier vary geographically. Real estate enterprises shall consider regional difference when performing financial-orientated social responsibilities. Appropriate social responsibility strategy and differentiated enterprise social responsibility inputs can relieve financial constraints to the maximum. 

THE EVOLUTION CHARACTERISTICS OF SPATIAL LAYOUT OF CHINA'S REGIONAL ECONOMY AND INDUSTRY

CHEN Chen

2022, 24(1):  136-147.  DOI: 10.13776/j.cnki.resourcesindustries.20211227.001

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 Analyze the characteristics of China's regional economic spatial distribution and the driving effect of changes in industrial spatial layout on the overall economy, and then propose macro-policy recommendations for the coordinated and balanced development of the North-South,  East-West regions. By the center of gravity theory, using the ensemble empirical mode decomposition (EEMD) and grey correlation degree analysis method, from the perspective of multi-scale periodic fluctuation based on time series, this paper focuses on the change characteristics of China's regional economic gravity center from 1952 to 2014 and its correlation with the movement of industrial gravity center. It is found that the change of economic gravity center is compounded of near-9 a, near-20 a and near-50 a's periodic fluctuations and tendency. Latitude is mainly determined by long period factors (variance contribution rate 63.76%) and inherent trend, while longitude is mainly determined by short period factors (variance contribution rate 75.98%) and inherent trend.In latitude, the relevance between the primary industry and the economy is gradually weakened, the relevance between the secondary industry and the economy keeps stable and strong, the relevance between the tertiary industry and the economy becomes enhancement. In longitude, the movement of the three industries' gravity centers can affect the fluctuation of economic gravity center, the correlation between gravity center of the tertiary industry and the economic gravity center is gradually increasing. Separating the periodic fluctuation factors, the moving trend of the economic gravity center is to south and west. Restricted by natural and social conditions, the movement to  south and east is subject to a large pull. There are differences in the actual movement and inherent trend of economic gravity center, which shows the imbalance of regional economic spatial layout. The balance of the spatial layout of the national economy not only needs the adjustment of policies and strategies, but also needs to follow the market forces and comparative advantages to optimize the regional industrial structure. The difference between the North and the South mainly lies in the degree of market development and the speed of industrial upgrading. The North should follow the law of industrial succession, improve the degree of marketization, and accelerate the development of the tertiary industry in line with the factor structure and comparative advantage. The gap between the East and the West mainly lies in the location advantage and agglomeration effect. The West needs to improve the regional infrastructure construction, and improve the quality of social security services for different levels of labor force, undertake the industries in line with the regional comparative advantage transferred from the East,  realize the benign interaction between the industries and factors in the East and the West.


RESEARCH ON THE CARRYING CAPACITY OF AGRICULTURAL RESOURCES AND ENVIRONMENT IN COUNTY BASED ON ECOLOGICAL SECURITY: TAKING ANREN COUNTY, THE MAIN PRODUCING AREA OF NATIONAL AGRICULTURAL PRODUCTS AS AN EXAMPLE

ZENG Rong, ZHANG Xiaohong, FENG Zhaohua

2022, 24(1):  148-159.  DOI: 10.13776/j.cnki.resourcesindustries.20211229.001

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The evaluation of the carrying capacity of agricultural resources and environment is the basic work for the preparation of land spatial planning. Research on the carrying capacity of agricultural resources and environment can not only maintain agricultural ecological security, determine the pattern of agricultural production, but also explore the balance between economic and social development and resource environmental protection, thereby improve land administrative ability. This paper takes Anren county, Chenzhou city, Hunan province, the main production area of national agricultural products as the research object, 
evaluates the carrying capacity of agricultural resources and environment of the county, conducts research on agricultural development potential, risk identification, and agricultural space demarcation. According to research, Anren county possesses abundant agricultural resources, has land area up to 63 705.49 hm² with agricultural resources environmental carrying capacity at or above tier III, 43.57% of the total land area. It also has a land area of 18 678.51 hm² with agricultural developing potential, 12.77% of the total land area. Anren county belongs to hilly terrain of southern China, with abundant water and land resources, good environments and high agricultural developing potential, but its agricultural development is largely limited by ecology with certain ecological risks and conflicts during farmland protection and agricultural structural adjustment. According to the investigation and analysis, the conflicted land area is 7 105.15 hm², 4.86% of the total land area. The agricultural space is identified according to the spatial pattern characteristics of resources and environment carrying capacity. The agricultural space land area of Anren county is 49 616.65 hm², accounting for 33.93% of the total area of the county, and it is clear that the county belongs to the spatial pattern of agricultural development of "two basins and one corridor".This provides a scientific basis for locking the target area of comprehensive agricultural management and improving the capacity of land spatial management. The grade of the carrying capacity of agricultural resources and environment is affected by the importance of ecological protection, land resources, water resources, natural disasters and other factors. In Anren county, there are many overlapping areas of current cultivated land, permanent basic farmland, reserve resources of cultivated land and extremely important and sensitive areas of ecological protection, and there are a lot of agricultural lands such as planting gardens and breeding ponds in areas with low carrying capacity.Paying attention to the problems in the protection of cultivated land in mountainous and hilly areas, adapting measures to local conditions and making good use of land with various levels of agricultural resources environmental carrying capacity is of great significance to effectively resolving the ecological risks in the adjustment of agricultural industrial structure.


RESEARCH ON EVALUATION AND SPATIAL DISTRIBUTION OF HIGH-QUALITY DEVELOPMENT IN 9 PROVINCES OF THE YELLOW RIVER BASIN FROM THE PERSPECTIVE OF NEW DEVELOPMENT CONCEPTS 

MA Rui

2022, 24(1):  160-171.  DOI: 10.13776/j.cnki.resourcesindustries.20211227.002

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he high-quality development of the Yellow River Basin has become an important national strategy. This paper measures their developing indexes of 9 provinces in the basin (Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shanxi, Shaanxi, Henan, Shandong) on five aspects including innovation, coordination, green, openness and sharing，analyzes their spatial correlation, determines their developing trend, which is a precondition and offers references for major decision-making for high-quality development in the Yellow River Basin. This paper based on the "new development concept" as the theoretical framework, selects the five indexes of innovation, coordination, green, openness and sharing in 9 provinces of the Yellow River Basin from 2016 to 2018, and uses the entropy weight method to calculate their comprehensive indexes and analyzes their high-quality development of 9 provinces. On this basis, the spatial autocorrelation analysis method is used to measure the spatial correlation of development in the five aspects of innovation, coordination, green, openness and sharing in 9 provinces of the Yellow River Basin. The results show that from a vertical perspective, most provinces are rising in innovative, green and opening development, but declining in coordinated and sharing development. From a horizontal perspective, Shandong is of relative preponderance in innovative developing comprehensive index, reaching the maximum in 2018 over the past three years in 9 provinces, and of absolute preponderance in openness development comprehensive index, seating on top over the past three years.Sichuan is of relative preponderance in coordinated development comprehensive index, reaching the acme in 2018 over the past three years among the 9 provinces, and of absolute preponderance in sharing development comprehensive index, seating on top over the past three years.Qinghai is absolute preponderance in green development comprehensive index, staying on the top in three consecutive years among the 9 provinces. Viewing spatial correlation, Inner Mongolia, Gansu, Qinghai and Ningxia show low-low agglomerating in innovative development in 2018. Inner Mongolia, Sichuan, Qinghai and Ningxia show high-high agglomerating in green development from 2017 to 2018. Through the research,this paper concludes that the 9 provinces have deficiencies in coordination and sharing against a high-quality development, which can be overcome through supportive policies, boosting inputs and precisely approaches. In addition,the upper-stream of Yellow River provinces display a strong spatial correlation in innovative and green development, their collaboration is key to high-quality development in the upper-stream.