Search

Highlights • A Super-SBM with undesirable output model is applied. • The environmental efficiency of 283 Chinese cities during 2003–2016 is analyzed. • The overall environmental efficiency performance across the Chinese cities is low. • China has achieved significant improvement in environmental efficiency across survey period. Abstract In the past decades, unprecedented dramatic economic development in the Chinese cities has also brought serious environmental problems. In line with this, the Chinese government has been investing great efforts and resources in addressing environmental problems. However, little previous studies have been conducted in examining whether this development is efficient from a win-win perspective balance between economic growth and environmental protection. This paper presents a comprehensive analysis on the environmental efficiency (EE) in the process of dramatic economic development in the Chinese cities. The Super-slack-based measure (Super-SBM) model is adopted to analyze the EE performance. Data used for analysis are collected from 283 sample cities in China. The research results indicate that the overall EE performance across the Chinese cities is relatively low, and the differences in EE performance among the 283 cities are significant. The top three EE performers are Shenzhen, Sanya and Erdos, and Baiyin, Xinzhou and Liupanshui are the bottom three performers. The results also suggest that the EE performance in the Eastern area, where most first-tier cities are located in, is significantly higher than that in the Central and Western areas (aggregated with fourth and fifth tier-cities). From the dynamic perspective, the results show that China has achieved significant improvement in environmental efficiency across the surveyed period of 2003–2016. The research findings provide valuable references not only for the Chinese policy-makers and practitioners to adopt measures for promoting a win-win balance between environmental protection and economic development in the Chinese context, but also for further studies on environmental efficiency in the international context. [ABSTRACT FROM AUTHOR]

• We analysed the influencing factors of urban eco-efficiency in Western China. • The US-SBM model and spatial econometric models were used for 84 cities' data. • Urban eco-efficiency showed a fluctuating upward trend during 2004–2017. • Economic development and urbanization had U-shaped impact on urban eco-efficiency. • Four explanatory variables showed a positive impact on urban eco-efficiency. Improving eco-efficiency can promote sustainable development. This study first evaluated the urban eco-efficiency of 84 cities in Western China from 2004 to 2017 by the undesirable-super-slack-based measure (US-SBM) and analysed their spatiotemporal characteristics, and then investigated its influencing factors using spatial econometric models. The results indicated that the urban eco-efficiency in Western China was at a relatively low level and showed a fluctuating upward trend with the highest average value of 0.65; however, capital cities of Western China have improved their eco-efficiency rapidly. Furthermore, there were obvious spatial spill-over impacts of the urban eco-efficiency in Western China. This paper also found that both the economic development level and urbanization level have "U" shaped impacts on Western China's urban eco-efficiency, which decreases at first and then rises. Similarly, increasing the proportion of secondary industry promotes urban eco-efficiency, and FDI, trade activities, improved environmental regulations as well as technological innovation capabilities have a positive impact on urban eco-efficiency in Western China. This paper also put forward corresponding policy suggestions to promote Western China's urban eco-efficiency. The present study may be helpful for policy-makers to balance economic development and environmental protection in Western China. [ABSTRACT FROM AUTHOR]

Abstract: Considering the traditional indicator of Green GDP and EDP, which ignored the ecological content when used to assess the regional sustainable development level, we proposed a new indicator, “EcoDP”, which consists of five sub-indicators: eco-service domestic product, eco-disaster domestic product, eco-construction domestic product, eco-threat domestic product, and eco-protection cost input, to distinguish the traditional EDP; we also suggest that the “EcoDP” should rather be divided into two main types: the “EcoDP value-stocked” and the “EcoDP value-added”. An analysis is carried out of China''s “EcoDP” change from 1999 to 2008, providing the following figures for the past 10 years: eco-service domestic product rose by 0.11 trillion yuan; eco-disaster domestic product increased by ¥1.03 trillion; eco-construction domestic product dropped by ¥9.8 billion; eco-threat domestic product rose by ¥114.4 billion; eco-protection cost input grew by ¥431.1 billion; and then we discussed the reasons for this change in China''s “EcoDP” from the perspectives of ecosystem, environment, resources and energies. Finally, based on various uncertainties regarding the research methodology adopted, the paper considers how to conduct quantified research and assessment for regional sustainable development in a comprehensive way in the future, in terms of GDP, EDP and social domestic product, like HDI. [Copyright &y& Elsevier]

[Display omitted] • The relation between urbanization and water environment in Hanjiang Basin was studied. • Coupling coordination degree model between UAWE of Hanjiang Basin was established. • The positive interaction effect of UAWE is mainly focused on the middle and lower reaches of the Hanjiang River. • Put forward feasible measures to realize the sustainable development of UAWE. The urbanization process of the Hanjiang Basin is speeding up and facing many challenges. It is necessary to take active actions to realize the balance between urbanization development and water environment protection. This paper aims to establish a comprehensive evaluation model of urbanization and water environment (UAWE) and explore the development of UAWE in the Hanjiang Basin in China from 2010 to 2018. In terms of methodology, these evaluation models are combined with the Coupling coordination degree model (CCDM), Exploratory Spatial Data Analysis (ESDA), and Geographically and Temporally Weighted Regression (GTWR) to measure and analyze the coupling degree (CD) and spatiotemporal heterogeneity of UAWE. Our findings include the following: (1) From 2010 to 2018, in all regions of the Hanjiang Basin, urbanization showed a gradual upward trend. Among Them, the comprehensive urbanization index (CUI) of Xiangyang increased by 25.37%. (2) The comprehensive water environment index (CWEI) presents a fluctuating growth, with the rate of increase in Jingmen's reaching 17.44%. (3) There is heterogeneity in time and space between cities in the Hanjiang Basin, and the positive interaction effect of UAWE is mainly focused on the middle and lower reaches of the Hanjiang River. (4) Coupling coordination degree (CCD) in the basin shows an increasing trend, and the areas with high CCD are mainly concentrated in Xiangyang and Xiantao. (5) ESDA shows that the CCD among cities in the basin has spatial correlation and heterogeneity, and the regions with similar CCD tend to be distributed centrally in space. [ABSTRACT FROM AUTHOR]

• Economic agglomeration (EA) was quantified based on nighttime light data. • All provinces are facing ecological overload excluding Qinghai. • A positive correlation between EA and ecological efficiency (EE) was found. As natural resources are becoming one of the factors hindering economic development, the utilization efficiency of natural resources should be improved and ecological stress should be reduced to ensure sustainable economic development. In this study, the ecological stress index and ecological efficiency were quantified using the ecological footprint model to describe the current status of sustainability and utilization efficiency of natural resources. The economic agglomeration was determined by conducting global spatial autocorrelation analysis using Defense Meteorological Program/Operational Line-Scan System (DMSP/OLS) nighttime light data. The relationship between economic agglomeration and ecological efficiency of China was then illustrated in a four-partite graph, and the results show that (1) the per-capita ecological footprints vary between the different provinces; however, the composition of the ecological footprint is similar between the provinces, and demonstrates the demand for fossil energy land is highest, while that for fishing ground is lowest. (2) All provinces are facing ecological overload, excluding Qinghai, and Shanghai, Tianjin, and Beijing are enduring the most severe ecological overload. (3) The ecological efficiency differs greatly between the different provinces of China, and the ecological efficiency values tend to decrease from the eastern coast to the inland region. (4) The economic activities in every province of China are spatially agglomerated, and the degree of agglomeration differs significantly. (5) There is a positive correlation between economic agglomeration and ecological efficiency, indicating that promoting economic agglomeration is an effective method of improving the utilization efficiency of natural resources. The relationship between economic agglomeration and ecological efficiency observed in this paper will provide a reference for optimizing the spatial distribution of economic activities and a theoretical basis for synchronizing environmental protection with economic development in China. [ABSTRACT FROM AUTHOR]