中国区域资源环境承载力的空间特征及收敛性分析

doi:10.13959/j.issn.1003-2398.2023.02.011

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (3803 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Based on entropy method, this paper uses panel data of 31 provinces in China (except Hong Kong, Macao and Taiwan) from 2011 to 2019 to describe resource and environmental carrying capacity from three dimensions of social carrying level (K1), pollution prevention capability (K2) and ecological restoration potential (K3), which is consistent with the goal of enhancing regional resources and environment carrying capacity. This paper also uses the Dagum Gini coefficient, kernel density estimation, and spatial econometric model to analyze spatial differences, dynamic feature and astringency of environmental bearing capacity of four regions in China which are east, west, middle, northeast parts. The spatial differences include withingroup variation, among groups variation and overall variation. The dynamic feature is described by Kernel density estimation, and astringency consists of σ convergence and β convergence, which is tested by Hausman, Wald, LM and LR model. It is concluded that: 1) The carrying capacity of Western China is greater than that in Eastern China, while the capacity in Western China also develops more rapid. 2) There are significant spatial differences in the resources and environment carrying capacity of these four regions, and the inter-group differences are the main sources. 3) There are significant differences in the dynamic evolution process of the absolute difference of resource carrying capacity in the four plates. 4) The characteristics of σ convergence and β convergence are different in the four tectonic plates. In Eastern China, there is no σ convergence in social carrying level, and there is no β convergence in pollution prevention capability, which puts great pressure on overall improvement of resources and environment carrying capacity.

Key words： social carrying level pollution prevention capability ecological restoration potential resources and environmental carrying capacity spatial feature

Received: 23 November 2021

PACS:

K901.2

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LI Cheng-hao
	REN Bao-ping

Cite this article:

LI Cheng-hao,REN Bao-ping. STUDY ON SPATIAL CHARACTERISTICS AND CONVERGENCE OF REGIONAL RESOURCES AND ENVIRONMENT CARRYING CAPACITY IN CHINA[J]. HUMAN GEOGRAPHY, 2023, 38(2): 88-96.

URL:

http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2023.02.011 OR http://rwdl.xisu.edu.cn/EN/Y2023/V38/I2/88

[1]	李勇,任保平.转换成本、晋升激励和经济增长质量[J].财贸研究, 2019,30(3):1-14.[Li Yong, Ren Baoping. Switching cost, promotion based incentive and quality of economic growth[J]. Finance and Trade Research, 2019,30(3):1-14.]
[2]	孙阳,王佳韡,伍世代.近35年中国资源环境承载力评价:脉络、热点及展望[J].自然资源学报,2022,37(1):34-58.[Sun Yang, Wang Jiawei, Wu Shidai. Resource and environmental carrying capacity in China for 35 years:Evolution, hotspots, future trend[J]. Journal of Natural Resources, 2022,37(1):34-58.]
[3]	张书海,阮端斌.资源跨区域流动视角下的承载力评价:一个动态评价框架及其应用[J].自然资源学报, 2020, 35(10):2358-2370.[Zhang Shuhai, Ruan Duanbin. Evaluation of resources and environment carrying capacity from the perspective of resource crossregional mobility:A dynamic evaluation framework and practice[J]. Journal of Natural Resources, 2020,35(10):2358-2370.]
[4]	Sarma A K, Singh V P, Kartha S A, et al. Urban Hydrology, Watershed Management and Socio-Economic Aspects[M]. Switzerland:Springer, 2016:1-370.
[5]	Dai D, Sun M D, Lv X B, et al. Evaluating water resource sustainability from the perspective of water resource carrying capacity, a case study of the Yongding River watershed in Beijing-TianjinHebei region, China[J]. Environmental Science and Pollution Research, 2020,27(17):21590-21603.
[6]	Guyond T, Comeau L A, Bacher C, et al. Climate change influences carrying capacity in a coastal embayment dedicated to shellfish aquaculture[J]. Estuaries & Coasts, 2015,38(5):1593-1618.
[7]	Tang H J, Jiang J Q. Research on the population carrying capacity of the land resources in the Economic Area of Zhujiang Delta[J]. Chinese Geographical Science, 2001,11(2):174-180.
[8]	Cheng K, Fu Q, Cui S, et al. Evaluation of the land carrying capacity of major grain-producing areas and the identification of risk factors[J]. Nat Hazards, 2017,86(1):263-280.
[9]	Wu W J, Zhou J S, Niu J Y et al. Study on coupling between mineral resources exploitation and the mining ecological environment in Shanxi Province[J]. Environment, Development and Sustainability, 2021,23(9):13261-13283.
[10]	王亮,刘慧.基于PS-DR-DP理论模型的区域资源环境承载力综合评价[J].地理学报,2019,74(2):340-352.[Wang Liang, Liu Hui. The comprehensive evaluation of regional resources and environmental carrying capacity based on PS-DR-DP theoretical model[J]. Acta Geographica Sinica, 2019,74(2):340-352.]
[11]	Meadows D H, Meadows D L, Randers J, et al. The limits to growth. A report for the Club of Rome's project on the predicament of mankind[J]. Technological Forecasting & Social Change, 1972,4(3):323-332.
[12]	封志明,游珍,杨艳昭,等.基于三维四面体模型的西藏资源环境承载力综合评价[J].地理学报,2021,76(3):645-662.[Feng Zhiming, You Zhen, Yang Yanzhao, et al. Comprehensive evaluation of resource and environment carrying capacity of Tibet based on a threedimensional tetrahedron model[J]. Acta Geographica Sinica, 2021, 76(3):645-662.]
[13]	鲍珂宇,何刚,金兰,等.基于突变级数法的安徽各市相对资源承载力研究[J].地域研究与开发,2021,40(4):39-44.[Bao Keyu, He Gang, Jin Lan, et al. Research on relative resources carrying capacity of cities in Anhui province based on catastrophe progression method[J]. Areal Research and Development, 2021,40(4):39-44.]
[14]	吴浩,江志猛,林安琪,等.基于隐性-韧性-显性的武汉城市资源环境承载力空间特征[J].地理学报,2021,76(10):2439-2457.[Wu Hao, Jiang Zhimeng, Lin Anqi, et al. Analyzing spatial characteristics of urban resource and environment carrying capacity based on Covert-Resilient-Overt:A case study of Wuhan city[J]. Acta Geographica Sinica, 2021,76(10):2439-2457.]
[15]	张曦,郭淑芬.空间效应视角下的中国省域工业技术创新效率收敛性研究[J].调研世界,2022(1):48-57.[Zhang Xi, Guo Shufen. Research on the convergence of China's provincial industrial technology innovation efficiency from the perspective of spatial effect[J]. The World of Survey and Research, 2022(1):48-57.]
[16]	王婷婷,宋飏,钱思彤,等.东北地区制造业空间格局演化及其空气污染环境效应——基于企业数据的实证[J].地理研究,2022,41(1):193-209.[Wang Tingting, Song Yang, Qian Sitong, et al. Spatial pattern of manufacturing industry and its impact on air pollution in Northeast China based on enterprise data[J]. Geographical Research, 2022,41(1):193-209.]