Journal
ENERGY ECONOMICS
Volume 119, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.eneco.2023.106525
Keywords
Data envelopment analysis; Performance-oriented resource reallocation; Sustainability; Carbon emissions; Production scales
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In order to reduce carbon emissions and achieve green development, reallocating resources to adjust industrial production scales is an effective approach. This paper develops a performance-oriented model using data envelopment analysis to determine optimal sustainable production scales for various industries. An empirical study on 15 industries in China from 2006 to 2019 verifies the effectiveness of the proposed method and provides interesting insights.
In order to reduce carbon emissions and achieve green development, it is one of the effective ways to adjust industrial production scales through reallocating resources. Under the framework of data envelopment analysis, this paper develops a performance-oriented model to reallocate resources and to determine the optimal sus-tainable production scales for various industrial sectors. An empirical study on 15 industries from 30 provinces in China during 2006 to 2019 verifies the effectiveness of our proposed method and gives some interesting insights. The empirical results demonstrate that the majority of sustainable industries have shown a trend that actual carbon dioxide emissions are constantly approaching the ideal state during the observing years, indicating that their sustainability performance has been improving continuously. However, high-energy industries have exhibited significant divergence. Some have improved the sustainability, while others have experienced a stagnant or even retrogressive emissions-reducing process. Moreover, via redistributing resources, customized optimal adjustments in production scales are obtained for different types of industries. The main contributions of this paper are summarized as follows. First, the proposed approach innovatively incorporate the constraints on sustainability efficiency in modelling resource reallocation, which avoids the unreasonable allocation where resources are completely tilted to the best-performing minority. Second, by adjusting production scales according to our model, the sustainability performance of most industries will be greatly improved to the efficient frontier. Third, considering the energy consumption characteristics, this study suggests targeted goals on sustainable development and matching adjustment directions on production scales for different types of industries.
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