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黄河流域生态保护和高质量发展水平的空间差异与收敛性研究

Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China.

机构信息

School of Economics, Zhengzhou University of Aeronautics, Zhengzhou 450046, China.

Post-Doctoral Moving Station of Applied Economics, Henan University, Kaifeng 475004, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 14;20(4):3370. doi: 10.3390/ijerph20043370.

DOI:10.3390/ijerph20043370
PMID:36834065
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9962266/
Abstract

Analyzing the spatial difference and convergence of ecological common prosperity (ECP) in the Yellow River Basin (YRB) will be beneficial for the environmental governance and multi-regional economic coordination. Based on the panel data of 97 cities in the YRB from 2003 to 2019, this paper measured and analyzed the index of ECP, the Gini coefficient of ECP, and the convergence of ECP. The results indicate that the ECP of YRB shows a steady growth trend (with an average growth rate of 4.71% yearly) and the overall differences are low (average Gini coefficient is 0.1509 from 2003 to 2019). In different areas, the Gini coefficient between the medium-stream and downstream of YRB is the largest (average value of Gini coefficient is 0.1561). From the decomposition of the overall differences of ECP, the contribution degree of the density of transvariation is the highest for annual average, with a contribution rate of 43.37%, the rate of intra-regional and the inter-regional differences are 31.86% and 24.77%, respectively. The results indicate that the overall differences of ECP in YRB are getting smaller because of cooperation and governance, but the differences between and within regions exist because of geographical feature. There is a significant spatial convergence trend of ECP, the convergence rate in the upstream and downstream area is faster under the economic geographical matrix than others, and the rate in the medium-stream area is faster under the administrative adjacency matrix. Therefore, strengthening economic and environmental cooperation between and within regions is more beneficial to achieve a better quality of life, as well as the long-term goals of 2035.

摘要

分析黄河流域生态共同繁荣(ECP)的空间差异和收敛性将有利于环境治理和多区域经济协调。本文基于黄河流域 97 个城市 2003-2019 年的面板数据,测算了 ECP 指数、ECP 基尼系数和 ECP 收敛性,并进行了分析。结果表明,黄河流域 ECP 呈现稳步增长趋势(年均增长率为 4.71%),整体差异较小(2003-2019 年平均基尼系数为 0.1509)。在不同地区,黄河中游和下游之间的基尼系数最大(平均基尼系数为 0.1561)。从 ECP 总体差异的分解来看,跨变密度的贡献度最高,年均贡献率为 43.37%,区域内和区域间差异的贡献率分别为 31.86%和 24.77%。这表明,由于合作和治理,黄河流域 ECP 的总体差异正在缩小,但由于地理特征,区域之间和区域内部仍然存在差异。黄河流域 ECP 存在显著的空间收敛趋势,在经济地理矩阵下,上游和下游地区的收敛速度较快,在行政相邻矩阵下,中游地区的收敛速度较快。因此,加强区域之间和区域内部的经济和环境合作,更有利于实现更好的生活质量和 2035 年的长期目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79a9/9962266/c5586d0a27e9/ijerph-20-03370-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79a9/9962266/c5586d0a27e9/ijerph-20-03370-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79a9/9962266/c5586d0a27e9/ijerph-20-03370-g001.jpg

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本文引用的文献

1
Carbon emission efficiency measurement and influencing factor analysis of nine provinces in the Yellow River basin: based on SBM-DDF model and Tobit-CCD model.黄河流域九省碳排放量效率测度及影响因素分析:基于 SBM-DDF 模型和 Tobit-CCD 模型。
Environ Sci Pollut Res Int. 2022 May;29(22):33263-33280. doi: 10.1007/s11356-022-18566-8. Epub 2022 Jan 13.
2
Carbon footprint and embodied carbon transfer at the provincial level of the Yellow River Basin.黄河流域省级层面的碳足迹和隐含碳转移。
Sci Total Environ. 2022 Jan 10;803:149993. doi: 10.1016/j.scitotenv.2021.149993. Epub 2021 Aug 30.
3
Higher Fine Particle Fraction in Sediment Increased Phosphorus Flux to Estuary in Restored Yellow River Basin.
沉积物中较高的细颗粒分数增加了黄河流域恢复区向河口的磷通量。
Environ Sci Technol. 2021 May 18;55(10):6783-6790. doi: 10.1021/acs.est.1c00135. Epub 2021 May 4.
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Investigation of a coupling model of coordination between urbanization and the environment.城市化与环境协调耦合模型研究。
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