Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and Determinations
Attaining optimal eco-efficiency is of paramount importance in promoting the sustainable and harmonious development of the economy and environment within urban agglomerations. Firstly, this paper utilizes the Super-SBM model with undesirable output to measure the eco-efficiency (<i>EE</i>...
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| Format: | Article |
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MDPI AG
2023-06-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/12/7/1275 |
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| author | Shuting Xue Chao Wang Shibin Zhang Chuyao Weng Yuxi Zhang |
| author_facet | Shuting Xue Chao Wang Shibin Zhang Chuyao Weng Yuxi Zhang |
| author_sort | Shuting Xue |
| collection | DOAJ |
| description | Attaining optimal eco-efficiency is of paramount importance in promoting the sustainable and harmonious development of the economy and environment within urban agglomerations. Firstly, this paper utilizes the Super-SBM model with undesirable output to measure the eco-efficiency (<i>EE</i>) of 64 cities in the Beijing–Tianjin–Hebei metropolitan region (BTHMR), the Yangtze River Delta (YRD), the Pearl River Delta (PRD), and the Chengdu–Chongqing Economic Zone (CCEZ) from 2006 to 2019. Secondly, this study puts forth a novel and comprehensive index system aimed at evaluating the urbanization efficiency and sheds light on the spatiotemporal changes in <i>EE</i> and urbanization efficiency. Finally, the STIRPAT model is used to examine the influencing factors of <i>EE</i> and to investigate the correlation between <i>EE</i> and urbanization efficiency. The study found that the overall <i>EE</i> of the four typical urban agglomerations is high, but the trend varies with a decrease of about 12.9% from 2006 to 2019. The mean <i>EE</i> is in the order of CCEZ > PRD > BTHMR > YRD, with mean values of 0.941, 0.909, 0.842, and 0.732, respectively. The level of science and technology and the urbanization efficiency have a significant positive impact on <i>EE</i>, while population, industrial structure, <i>FDI</i>, and greening level have an inhibitory effect on urban eco-efficiency. Based on the results, policy suggestions such as paying attention to regional heterogeneity and giving full play to the government’s macro-regulatory role in shaping the economic and industrial structure are proposed to serve as a guide for the coordinated development of urban agglomerations under the Dual Carbon Target. |
| first_indexed | 2024-03-11T00:54:50Z |
| format | Article |
| id | doaj.art-826282cc30db4a3ab0d59f149293fa70 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-11T00:54:50Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-826282cc30db4a3ab0d59f149293fa702023-11-18T20:05:00ZengMDPI AGLand2073-445X2023-06-01127127510.3390/land12071275Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and DeterminationsShuting Xue0Chao Wang1Shibin Zhang2Chuyao Weng3Yuxi Zhang4School of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Labor Economics, Capital University of Economics and Business, Beijing 100070, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaAttaining optimal eco-efficiency is of paramount importance in promoting the sustainable and harmonious development of the economy and environment within urban agglomerations. Firstly, this paper utilizes the Super-SBM model with undesirable output to measure the eco-efficiency (<i>EE</i>) of 64 cities in the Beijing–Tianjin–Hebei metropolitan region (BTHMR), the Yangtze River Delta (YRD), the Pearl River Delta (PRD), and the Chengdu–Chongqing Economic Zone (CCEZ) from 2006 to 2019. Secondly, this study puts forth a novel and comprehensive index system aimed at evaluating the urbanization efficiency and sheds light on the spatiotemporal changes in <i>EE</i> and urbanization efficiency. Finally, the STIRPAT model is used to examine the influencing factors of <i>EE</i> and to investigate the correlation between <i>EE</i> and urbanization efficiency. The study found that the overall <i>EE</i> of the four typical urban agglomerations is high, but the trend varies with a decrease of about 12.9% from 2006 to 2019. The mean <i>EE</i> is in the order of CCEZ > PRD > BTHMR > YRD, with mean values of 0.941, 0.909, 0.842, and 0.732, respectively. The level of science and technology and the urbanization efficiency have a significant positive impact on <i>EE</i>, while population, industrial structure, <i>FDI</i>, and greening level have an inhibitory effect on urban eco-efficiency. Based on the results, policy suggestions such as paying attention to regional heterogeneity and giving full play to the government’s macro-regulatory role in shaping the economic and industrial structure are proposed to serve as a guide for the coordinated development of urban agglomerations under the Dual Carbon Target.https://www.mdpi.com/2073-445X/12/7/1275eco-efficiencyurbanization efficiencyUS-SBMSTIRPATinfluencing factorsurban agglomerations |
| spellingShingle | Shuting Xue Chao Wang Shibin Zhang Chuyao Weng Yuxi Zhang Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and Determinations Land eco-efficiency urbanization efficiency US-SBM STIRPAT influencing factors urban agglomerations |
| title | Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and Determinations |
| title_full | Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and Determinations |
| title_fullStr | Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and Determinations |
| title_full_unstemmed | Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and Determinations |
| title_short | Eco-Efficiency of the Urban Agglomerations: Spatiotemporal Characteristics and Determinations |
| title_sort | eco efficiency of the urban agglomerations spatiotemporal characteristics and determinations |
| topic | eco-efficiency urbanization efficiency US-SBM STIRPAT influencing factors urban agglomerations |
| url | https://www.mdpi.com/2073-445X/12/7/1275 |
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