The measurement of eco-efficiency is an important tool to evaluate the level of urban sustainable development. Therefore; improving urban eco-efficiency in the lower reaches of the Yellow River ensures the implementation of ecological protection and high-quality development strategies in the Yellow River Basin. In this study; the dynamic changes of urban eco-efficiency and spatiotemporal differences in the lower reaches of the Yellow River were investigated using the Super-SBM (Super-Slack measure model) model with undesirable outputs and standard deviation ellipse. The STIRPAT (Stochastic Impacts by Regression Population; Affluence and Technology) model was introduced to analyze the factors affecting the change in urban eco-efficiency. The results showed that the overall urban eco-efficiency in the lower reaches of the Yellow River has not reached the optimal level. The overall eco-efficiency in the lower reaches of the Yellow River in Shandong Province was higher than that in Henan Province but the gap is narrowing. The spatial differentiation of urban eco-efficiency in the lower reaches of the Yellow River showed the following trends: "blooming in the middle and reverse development at both ends" in the high-value area and gradual decrease in the low-value area. From 2007 to 2018; a direction was notable with respect to the development of urban eco-efficiency in the lower reaches of the Yellow River; with the centripetal force weakening. Although the mean center of urban eco-efficiency located in Shandong Province; it notably shifted to the west during the study period. In terms of driving factors; affluence and technological progress play positive roles in driving eco-efficiency; while investment intensity; industrial structure; and foreign investment intensity hindered the optimization and improvement of urban eco-efficiency in the lower reaches of the Yellow River. The results of this study show that urban eco-efficiency in the lower reaches of the Yellow River is improving; but the regional coordination is poor. The main methods promoting the sustainable development in the study area include changing the mode of extensive investments and the introduction of foreign capital; which improve the energy efficiency and promote faster and better economic development.
机构:
Nanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R ChinaNanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
Liu, Qianqian
Wang, Shaojian
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机构:
Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Peoples R ChinaNanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
Wang, Shaojian
Li, Bo
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机构:
Tianjin Univ Technol, Int Coll Business & Technol, Tianjin 300384, Peoples R ChinaNanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
Li, Bo
Zhang, Wenzhong
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机构:
Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaNanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
机构:
Guangdong Univ Foreign Studies, Guangdong Res Ctr NPO, Guangzhou 510420, Peoples R ChinaGuangdong Univ Foreign Studies, Guangdong Res Ctr NPO, Guangzhou 510420, Peoples R China
Tu, Bin
Zhang, Han
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机构:
Guangdong Univ Foreign Studies, Sch Publ Adm, Guangzhou 510420, Peoples R ChinaGuangdong Univ Foreign Studies, Guangdong Res Ctr NPO, Guangzhou 510420, Peoples R China
Zhang, Han
Zhang, Yi Memg
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机构:
Nankai Univ, Zhou Enlai Sch Govt, Tianjin 300071, Peoples R ChinaGuangdong Univ Foreign Studies, Guangdong Res Ctr NPO, Guangzhou 510420, Peoples R China
Zhang, Yi Memg
Tu, Qian Yi
论文数: 0引用数: 0
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机构:
North China Elect Power Univ, Dept Law & Polit, Baoding 071003, Peoples R ChinaGuangdong Univ Foreign Studies, Guangdong Res Ctr NPO, Guangzhou 510420, Peoples R China
Tu, Qian Yi
[J].
JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY,
2019,
20
: 92
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103