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Junlong Li
School of Economics and Management & Research Center of Low Carbon Economy, Sanming University, Sanming 365004, China

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Journal article
Published: 11 June 2020 in Sustainability
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Ecological sustainability is treated as a main reflection of the synergy among social development, economic growth and environmental protection, while ecological efficiency is an index used to reflect the sustainable development of the ecological environment. The super efficiency model with undesirable outputs (SE-SBM) model was applied to measure the eco-efficiency of the 12 counties in the Minjiang-Source, China, in 2005–2017. The spatial and temporal evolution and spatial differentiation of the eco-efficiency were analyzed. The results showed that the eco-efficiency of 67.7% of the 12 counties remains at a low level but with an increasing trend. A typical spatial aggregation effect was found with the characteristics of “high in the east and low in the west”. The Malmquist-Luenberger index shows a trend of fluctuation with the same trend between scale efficiency and technical efficiency changes. The results proved the positive effect of technological progress on local eco-efficiency. Environmental regulation has a positive impact on eco-efficiency in the short term and an inhibition effect in the long run. Hence, technological innovation and industrial adjustment will be an effective way to improve the eco-efficiency of the Minjiang-Source and promote its sustainability.

ACS Style

Junlong Li; Chuangneng Cai; Feng Zhang. Assessment of Ecological Efficiency and Environmental Sustainability of the Minjiang-Source in China. Sustainability 2020, 12, 4783 .

AMA Style

Junlong Li, Chuangneng Cai, Feng Zhang. Assessment of Ecological Efficiency and Environmental Sustainability of the Minjiang-Source in China. Sustainability. 2020; 12 (11):4783.

Chicago/Turabian Style

Junlong Li; Chuangneng Cai; Feng Zhang. 2020. "Assessment of Ecological Efficiency and Environmental Sustainability of the Minjiang-Source in China." Sustainability 12, no. 11: 4783.

Journal article
Published: 28 March 2020 in Sustainability
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The scale effect of urbanization on improving carbon emission efficiency and achieving low-carbon targets is an important topic in urban research. Using dynamic panel data from 64 prefecture-level cities in four typical urban agglomerations in China from 2006 to 2016, this paper constructed a stochastic frontier analysis model to empirically measure the city-level total-factor carbon emission efficiency index (TCEI) at different stages of urbanization and to identify rules governing its spatiotemporal evolution. We quantitatively analyzed the influences and functional characteristics of TCEI in the four urban agglomerations of Pearl River Delta, Beijing-Tianjin-Hebei, the Yangtze River Delta, and Chengdu-Chongqing. Results show that the TCEI at different stages of urbanization in these urban agglomerations is increasing year by year. The overall city-level TCEI was ranked as follows: Pearl River Delta > Beijing-Tianjin-Hebei > Yangtze River Delta > Chengdu-Chongqing. Improvements in the level of economic development and urbanization will help achieve low-carbon development in a given urban agglomeration. The optimization of industrial structure and improvement of ecological environment will help curb carbon emissions. This paper provides decision-making references for regional carbon emission reduction from optimizing industrial and energy consumption structures and improving energy efficiency.

ACS Style

Fan Zhang; Gui Jin; Junlong Li; Chao Wang; Ning Xu. Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations. Sustainability 2020, 12, 2675 .

AMA Style

Fan Zhang, Gui Jin, Junlong Li, Chao Wang, Ning Xu. Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations. Sustainability. 2020; 12 (7):2675.

Chicago/Turabian Style

Fan Zhang; Gui Jin; Junlong Li; Chao Wang; Ning Xu. 2020. "Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations." Sustainability 12, no. 7: 2675.