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- Author:
- Du, Gang, et al. ; Ouyang, Xiaoling; Zhuang, Wuxu; Show all 3 Authors
- Source:
- Journal of cleaner production 2018 v.202 pp. 969-979
- ISSN:
- 0959-6526
- Subject:
- air pollution; capital; confidence interval; elasticities; energy; fossil fuels; labor; production functions; statistical inference; traffic; China
- Abstract:
- ... As a major consumer of fossil fuels, the transportation sector in Shanghai presents a wide range of problems, including air pollution, noise, and traffic congestion. This study aims to explore the energy substitution effect based on a trans-log production function to evaluate the contribution of each input factor to sectoral output, and reveal the substitution possibilities between capital, labor, ...
- DOI:
- 10.1016/j.jclepro.2018.08.188
-
https://dx.doi.org/10.1016/j.jclepro.2018.08.188
- Author:
- Du, Gang, et al. ; Liu, Shuzhan; Lei, Ni; Huang, Yong; Show all 4 Authors
- Source:
- Journal of cleaner production 2018 v.205 pp. 821-827
- ISSN:
- 0959-6526
- Subject:
- air pollution; cities; energy efficiency; environmental Kuznets curve; international trade; issues and policy; models; pollution control; urbanization; China
- Abstract:
- ... The mounting environmental crisis, especially the large-scale and continuous haze pollution, is the most pressing challenge for China during rapid urbanization process. This study is aimed at examining the relationship between haze pollution and economic growth, and its turning points for different regions in China based on the panel data of 27 capital cities and municipalities in China during 201 ...
- DOI:
- 10.1016/j.jclepro.2018.08.330
-
https://dx.doi.org/10.1016/j.jclepro.2018.08.330
- Author:
- Du, Gang, et al. ; Ouyang, Xiaoling; Wei, Xiaoyun; Sun, Chuanwang; Show all 4 Authors
- Source:
- Energy policy 2018 v.118 pp. 573-583
- ISSN:
- 0301-4215
- Subject:
- capital; econometric models; empirical research; energy costs; energy efficiency; issues and policy; labor; prices; production technology; China
- Abstract:
- ... The marketization of energy price is not only an important part of factor pricing reforms but also decisive for energy efficiency improvement. Thus, this study aims to measure factor price distortions and estimate their impact on energy efficiency based on an empirical analysis of 30 provinces of China during 2004–2013 using the stochastic frontier analysis framework. Results yielded three importa ...
- DOI:
- 10.1016/j.enpol.2018.04.022
-
https://dx.doi.org/10.1016/j.enpol.2018.04.022
- Author:
- Du, Gang, et al. ; Sun, Chuanwang; Ouyang, Xiaoling; Zhang, Chi; Show all 4 Authors
- Source:
- Journal of cleaner production 2018 v.184 pp. 1102-1112
- ISSN:
- 0959-6526
- Subject:
- carbon dioxide; chemical industry; energy; energy industry; greenhouse gas emissions; issues and policy; manufacturing; China
- Abstract:
- ... China's six high-energy intensive industries use more energy than any other industrial sectors, consuming almost 90% of manufacturing energy and more than 50% of national energy and contributing over 50% of national energy-related CO2 emissions. Thus, this study is motivated to identify the drivers of energy-related CO2 emissions change of high-energy intensive industries in China based on the Log ...
- DOI:
- 10.1016/j.jclepro.2018.02.304
-
https://dx.doi.org/10.1016/j.jclepro.2018.02.304
- Author:
- Du, Gang, et al. ; Ouyang, Xiaoling; Gao, Beiying; Du, Kerui; Show all 4 Authors
- Source:
- Energy 2018 v.145 pp. 408-416
- ISSN:
- 0360-5442
- Subject:
- capital; carbon; cities; emissions; empirical research; energy; energy conservation; labor; least squares; metropolitan areas; pollution; river deltas; China; Yangtze River
- Abstract:
- ... As the most prosperous area and one of China's major economic centers, Yangtze River Delta urban agglomeration (YRDUA) shows the largest concentration of adjacent metropolitan areas in the world. Its energy conservation and emissions reduction efforts are critical for developing a low carbon economy in China. Based on panel data of 14 cities from 2003 to 2013, this study estimates the rebound effe ...
- DOI:
- 10.1016/j.energy.2018.01.009
-
https://dx.doi.org/10.1016/j.energy.2018.01.009