Carbon Emission Performance in Chinese Extractive Industry Based on Stochastic Frontier Model and Stochastic Convergence Test

The purpose of this study is to estimate the carbon emission performance and time trend of the extractive industry in China. In this paper, the stochastic frontier analysis was used to analyse the carbon emission intensity and estimate the potential of carbon emission reduction in this industry. Bes...

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Bibliographic Details
Main Author: Fengtao Hua
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2018-07-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/2746
Description
Summary:The purpose of this study is to estimate the carbon emission performance and time trend of the extractive industry in China. In this paper, the stochastic frontier analysis was used to analyse the carbon emission intensity and estimate the potential of carbon emission reduction in this industry. Besides, the stochastic convergence model was applied to measure the difference of carbon emission intensity in this industry and test the time trend of carbon emission convergence. Finally, it’s concluded that at present, firstly, the carbon emission efficiency of the extractive industry takes a slowly rising trend, with greater potential for improvement; secondly, there exists the gap in carbon intensity between the sub-industries of the extractive industry, without any convergence trend. This reveals that the effective way to reduce carbon emissions of extractive industry is to narrow down the interindustry gap in carbon intensity.
ISSN:2283-9216