Affiliation of Author(s):经济与管理学院

Journal:JOURNAL OF ENVIRONMENTAL MANAGEMENT

Key Words:CO2 emission Production-theoretical decomposition analysis Non-radial directional distance function Global Malmquist-Luenberger productivity index

Abstract:Production-theoretical decomposition analysis (PDA), built on production theory and data envelopment analysis, has been widely used to quantify the factors that drive CO2 emission changes to support policy analysis and making. Existing PDA methods are usually linked to Shephard distance function and Malmquist productivity index. However, decomposition results associated with these methods may be biased and incomplete. The challenges with these methods mainly stem from the problems associated with underestimating disaggregated efficiencies and the infeasibility of linear programming. This paper proposes a modified PDA approach based on a non-radial directional distance function and global Malmquist-Luenberger productivity index. This new approach addresses the problems associated with conventional PDA methods. To show the usefulness of the proposed approach, we apply it to study CO2 emissions in China and use the bootstrap method to test the statistical significance of the estimated results.

ISSN No.:0301-4797

Translation or Not:no

Date of Publication:2019-12-15

Co-author:Wang, Yizhong,Ni Changye,Zhou, P.

Correspondence Author:Zhou, P.,Wang Qunwei