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- W3033387816 abstract "Abstract This paper utilizes SBM-undesirable model and Malmquist index to examine the urban eco-efficiency in China and analyzes the regional heterogeneity. Through the panel data of 273 prefecture-level cities during 2007–2017 in China, the spatial Durbin model is used to examine the influencing factors of urban eco-efficiency associated with technological innovations. The results show that the average values of urban eco-efficiency of the East, Central, and West regions are 0.93, 0.88, and 0.90, respectively. The Moran’s I of eco-efficiency is around 0.8, which shows a strong spatial heterogeneity. It is found that higher innovative ability can increase urban eco-efficiency. Education investment and innovation talents have a U-shape relationship with urban eco-efficiency, while capital investment and innovation performance have an inverted U-shape relationship with it. This research outlines the relationship between technological innovations and urban eco-efficiency, offering policy implications for China’s eco-construction and sustainable urban development." @default.
- W3033387816 created "2020-06-12" @default.
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- W3033387816 date "2020-10-01" @default.
- W3033387816 modified "2023-10-05" @default.
- W3033387816 title "How technological innovations affect urban eco-efficiency in China: A prefecture-level panel data analysis" @default.
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- W3033387816 doi "https://doi.org/10.1016/j.jclepro.2020.122479" @default.
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