Decomposition analysis of factors affecting carbon dioxide emissions across provinces in China

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Natural and managerial disposability are two important strategic concepts, whose priorities are economic prosperity and environmental protection, respectively. This study defines social sustainability as the simultaneous achievement of economic prosperity and environmental protection, and then assesses the degree of social sustainability across provinces in China. In addition, this study combines the concepts of natural and managerial disposability with Data Envelopment Analysis window analysis. The method allows for frontier shifts among different time periods and thus can provide more stable and reliable results. This method is applied to assess the energy and environmental performances across the provinces of China during [2003][2004][2005][2006][2007][2008][2009][2010][2011][2012][2013][2014], and provides detailed information about provincial variations, which are valuable and important to policy makers (especially for those in local governments). This study identifies three important findings. First, there were no significant improvements in China's environmental performance during the analysis periods, since, historically, the governments have not paid enough attention to environmental protection. Second, there are increasing trends in the provincial gaps regarding the environmental performance. In this regard, the central government should help the poor provinces to protect the environment. Third, there are significant differences between the results obtained under natural disposability and those obtained under managerial disposability, since they have different priorities regarding the operational and the environmental performances. Thus, significant contributions can be made by eco-technology progress combined with managerial performance improvements by business leaders and policy makers. This can be a new policy direction for the Chinese government.

Section: Literature Reviewmentioning

confidence: 99%

Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability

Sueyoshi

Yuan

et al. 2017

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“…Some studies suggest that the Eastern region ranks the first in per capita and total carbon emissions, and that the emissions in the Central and Western regions are much lower [35]. Li et al [36] find that the causes of carbon emissions are complicated across different regions, which include several driving factors and varying potentials of carbon intensity. Thus, Shimada et al [37] conclude that it is important to integrate local characteristics into a national scenario so that the national peak carbon emission target can be allocated to different regions effectively.…”

Section: Regional Analysis Of Peak Carbon Emissions In Chinamentioning

confidence: 99%

Peak Carbon Emissions in China: Status, Key Factors and Countermeasures—A Literature Review

Dong

Hua

2018

China is continually increasing its efforts to reduce carbon emissions due to dual pressure domestically and internationally. Specifically, China has committed to achieving peak carbon emissions no later than 2030. As an international goal, carbon emission peak in China has generated considerable research interest. However, most scholars only focus on a partial aspect of peak carbon emissions. Through a review of literature from numerous sources, this paper provides a more systematic analysis than previously available of how China can reach its peak carbon emissions as early as possible. This study first elaborates the status of peak carbon emissions in China from regional and sectoral perspectives and summarizes the various predictions. Then, five main driving factors of carbon emission peak in China are investigated, i.e., economic development, urbanization, energy-related issues, foreign direct investment and technology, and transportation. Corresponding to these five factors, some specific and practical recommendations are proposed. Furthermore, regional differences and spatial "spillovers" must be taken into account, thereby achieving a "win-win" solution with respect to the integration of emission mitigation and economic development, as well as reaching the desired target of peak carbon emissions.

“…Undesirable Outputs Production Inputs [34] GDP SO 2 , COD, Nitrogen Labor, capital, energy, water [35] GDP CO 2 Labor, capital, energy [36] GDP CO 2 , SO 2 Labor, capital, coal, crude oil, natural gas [37] Industrial added value CO 2 Labor, capital, energy [38] GDP Labor, capital, energy [39] GDP Waste water, waste gas, solid waste Labor, capital, energy [40] Industrial added value CO 2 , SO 2 Labor, capital, energy [41] Industrial added value NO 2 Capital, electricity [26] GDP CO 2 Labor, capital, energy [42] GDP CO 2 , SO 2 Labor, capital, coal, electricity [4] GDP CO 2 Labor, capital, energy [43] GDP CO 2 Labor, capital, energy [44] GDP Solid waste Labor, capital, coal [45] GDP, primary secondary and tertiary industry PM 10 , SO 2 , NO 2 Coal, oil, gas, electricity, energy investment [46] Industrial added value Waste water, solid waste Labor, capital, coal [22] Industrial added value CO 2 Labor, capital, energy [47] GDP SO 2 , solid waste Labor, capital, energy [48] GDP CO 2 , SO 2 , COD Labor, capital, energy [49] GDP CO 2 , SO 2 , solid waste, industrial dust Labor, capital, energy [50] GDP CO 2 Labor, capital, energy [6] GDP CO 2 Labor, capital, energy [51] GDP CO 2 , SO 2 Labor, capital, energy [52] GDP SO 2 , waste water, solid waste Labor, capital, energy …”

Section: Authors Desirable Outputsmentioning

confidence: 99%

Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis

Zhang

Gao

2018

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There are two categories (i.e., radial and non-radial category) in conventional DEA (Data Envelopment Analysis). Recently, intermediate approach was put forward as a new third category. Intermediate approach is a newly proposed approach and there are quite limited related studies. This study contributes to the DEA studies by putting forward an analytical framework of combining intermediate approach and DEA window analysis along with the concepts of natural and managerial disposability. Such combination is quite meaningful and this new approach has three important features. To the best of our knowledge, such type of research has never been investigated by the existing studies. As an application, this approach is used to evaluate the performance of provinces in China from 2007 to 2014. Furthermore, this study develops a series of performance indices from different perspectives. This study identifies the three important findings. Firstly, eco-technology advancements can achieve economic prosperity and environmental protection simultaneously, and thus should become a new direction of climate policies. Secondly, considerable differences exist in a series of indices that evaluates the performance of various provinces and pollutants from different respective. Then, sufficient attention should be given to the provinces and the pollutants with poor performance. Finally, the Chinese government should promote efficiency improvement by "catching up" for provinces with poor performance in the short term. In addition, the central government should reduce regional disparity in order to promote the social sustainability in the long term.