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基于非期望产出的 EBM 模型和空间杜宾模型的中国城市土地绿色利用效率驱动机制。

The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model.

机构信息

College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.

出版信息

Int J Environ Res Public Health. 2022 Aug 29;19(17):10748. doi: 10.3390/ijerph191710748.

DOI:10.3390/ijerph191710748
PMID:36078467
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9517835/
Abstract

Green development is necessary for building a high-quality modern economic system. The contribution of the article mainly includes the following three parts: First is the study on the urban land green use efficiency (ULGUE) in 30 provinces of China from 2008 to 2018 by adopting the epsilon-based measure (EBM) model with undesirable outputs to yield a more accurate and reasonable assessment result. In addition, the spatial agglomeration characteristics were analysed according to the spatial autocorrelation analysis. Thirdly, the spatial Durbin model was applied to analyse the driving factors of the WRGUE, which considers the spatial effects. The findings are as follows: (1) The regional differences in ULGUE were very significant, with the number decreasing from the coastal region to inland. (2) ULGUE showed a significantly positive spatial autocorrelation, and the spatial homogeneity was more significant than the spatial heterogeneity for ULGUE. (3) Economic development level, technical progress level, and urban population density have a significant impact on ULGUE, while the higher the proportion of the secondary industry in GDP, the lower the level of ULGUE. The research results may be a useful reference point for policymakers.

摘要

绿色发展是构建高质量现代化经济体系的必然要求。本文的主要贡献包括以下三个部分:首先,采用基于ε的测度(EBM)模型对 2008-2018 年中国 30 个省份的城市土地绿色利用效率(ULGUE)进行了研究,以获得更准确和合理的评估结果。此外,根据空间自相关分析对空间集聚特征进行了分析。第三,应用空间杜宾模型分析了 WRGUE 的驱动因素,该模型考虑了空间效应。研究结果表明:(1)ULGUE 的区域差异非常显著,从沿海地区到内陆地区呈递减趋势。(2)ULGUE 表现出显著的正向空间自相关,空间同质性比空间异质性更为显著。(3)经济发展水平、技术进步水平和城市人口密度对 ULGUE 有显著影响,而 GDP 中第二产业的比重越高,ULGUE 的水平越低。研究结果可能为政策制定者提供有益的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/a84cebbf3cff/ijerph-19-10748-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/525a8b73b7a9/ijerph-19-10748-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/1eeac3c19597/ijerph-19-10748-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/82392c9aec73/ijerph-19-10748-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/9f23b52058c6/ijerph-19-10748-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/5dbcc7371a58/ijerph-19-10748-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/e3b2b0216231/ijerph-19-10748-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/59193d45f253/ijerph-19-10748-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/b6757fc76f9b/ijerph-19-10748-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/8a4503653507/ijerph-19-10748-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/a84cebbf3cff/ijerph-19-10748-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/525a8b73b7a9/ijerph-19-10748-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/1eeac3c19597/ijerph-19-10748-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/82392c9aec73/ijerph-19-10748-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/9f23b52058c6/ijerph-19-10748-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/5dbcc7371a58/ijerph-19-10748-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/e3b2b0216231/ijerph-19-10748-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/59193d45f253/ijerph-19-10748-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/b6757fc76f9b/ijerph-19-10748-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/8a4503653507/ijerph-19-10748-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e3/9517835/a84cebbf3cff/ijerph-19-10748-g010.jpg

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The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization.中国在碳中和目标下城市土地绿色低碳利用效率的时空跃迁及影响因素。
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