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基于夜间灯光数据的中国经济发展与水资源-生态管理能力关系分析。

Analysis of the Relationship between Economic Development and Water Resources-Ecological Management Capacity in China Based on Nighttime Lighting Data.

机构信息

Business School, Hohai University, Nanjing 211100, China.

School of Management, Wenzhou Business College, Wenzhou 325035, China.

出版信息

Int J Environ Res Public Health. 2023 Jan 19;20(3):1818. doi: 10.3390/ijerph20031818.

DOI:10.3390/ijerph20031818
PMID:36767194
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9915020/
Abstract

Water resources are important factors limiting social and economic development, so how to ensure the coordination between economic development and water resources-ecological management capacity has become a key issue that needs to be addressed urgently for China's high-quality economic development. This paper used nighttime light data as proxy variables of economic development to calculate the coupling coordination degree between provincial economic development and water resources-ecological management capacity in China from 2004 to 2019 based on the coupling coordination degree model; w constructed a spatial econometric model to explore the spatial correlation and influencing factors between economic development and water resources-ecological management capacity. The results are shown in the following: (1) The overall level of China's economic development is on an upward trend, but the regional development is unbalanced, showing a decreasing spatial pattern distribution of the eastern coastal region-mid-western region-far-western region. (2) The level of water resources-ecological management capacity is low, and the spatial distribution shows a decreasing trend in the far west-central and western-eastern coastal regions. (3) The level of coupling and coordination between economic development and water resources-ecological management capacity rises from a mild imbalance level to a little imbalance level, and the spatial distribution is consistent with the spatial distribution of economic development. (4) The factors influencing the level of coupling and coordination of inter-provincial economic development and water resources-ecological management capacity in China mainly involve the population scale, technological progress, affluence, and foreign direct investment. Each province and city should take into account its own actual situation and develop targeted measures to promote the coordinated development of economic development and the water resources-ecological management capacity.

摘要

水资源是限制社会经济发展的重要因素,因此,如何确保经济发展与水资源-生态管理能力之间的协调已成为中国实现高质量经济发展亟待解决的关键问题。本文利用夜间灯光数据作为经济发展的代理变量,基于耦合协调度模型,计算了 2004-2019 年中国省级经济发展与水资源-生态管理能力的耦合协调度;构建了空间计量模型,探讨了经济发展与水资源-生态管理能力之间的空间相关性及其影响因素。结果表明:(1)中国经济发展总体水平呈上升趋势,但区域发展不平衡,呈东部沿海地区-中西部地区-西部地区递减的空间格局分布。(2)水资源-生态管理能力水平较低,空间分布呈由远及近的递减趋势。(3)经济发展与水资源-生态管理能力的耦合协调度水平由轻度失调上升至轻度失调,空间分布与经济发展的空间分布一致。(4)影响中国省际经济发展与水资源-生态管理能力耦合协调度水平的因素主要涉及人口规模、技术进步、富裕程度和外商直接投资。各省、市应结合自身实际情况,制定有针对性的措施,促进经济发展与水资源-生态管理能力的协调发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/ca901df9a3dd/ijerph-20-01818-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/ccdd0254c8f3/ijerph-20-01818-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/927a61edd901/ijerph-20-01818-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/bf90dc7773a6/ijerph-20-01818-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/aa51877bbfce/ijerph-20-01818-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/dce59e7e335c/ijerph-20-01818-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/4b04cb852ec5/ijerph-20-01818-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/cf4c2cfe334f/ijerph-20-01818-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/a1678b6f4a4d/ijerph-20-01818-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/70554d9f2328/ijerph-20-01818-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/ca901df9a3dd/ijerph-20-01818-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/ccdd0254c8f3/ijerph-20-01818-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/927a61edd901/ijerph-20-01818-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/bf90dc7773a6/ijerph-20-01818-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/aa51877bbfce/ijerph-20-01818-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/dce59e7e335c/ijerph-20-01818-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/4b04cb852ec5/ijerph-20-01818-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/cf4c2cfe334f/ijerph-20-01818-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/a1678b6f4a4d/ijerph-20-01818-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/70554d9f2328/ijerph-20-01818-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1018/9915020/ca901df9a3dd/ijerph-20-01818-g010.jpg

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