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Energy and emission reduction efficiency of China’s industry sector: a non-radial directional distance function analysis

Authors :
Xiangyu Teng
Liang Chun Lu
Yung-Ho Chiu
Source :
Carbon Management, Vol 10, Iss 4, Pp 333-347 (2019)
Publication Year :
2019
Publisher :
Taylor & Francis Group, 2019.

Abstract

Nowadays, as China has become the factory of the world, China’s industrial sectors have become the country’s main source of energy consumption and emissions including CO2, SO2, NOx and soot. This article will use the non-radial directional dispersion function model (DDF) to explore ways to improve both the energy efficiency and the emission efficiency of China’s industrial sectors. Based on current research, this article proposes a new projected input for the treatment of industrial waste gas, and optimizes the projected input and output settings. The data analysis shows that there is room for improvement in China’s energy efficiency, and its regional imbalances have expanded. The Chinese government is urged to pay more attention to the improvement of energy efficiency in the central and western regions, and to provide more policy support. Simultaneously, the paper attemtps to establish measurement indexes to improve the efficiency of emission reduction. As a result, the authors suggest that increasing government expenditure can play a positive role in the overall improvement of emission reduction efficiency.

Details

Language :
English
ISSN :
17583004 and 17583012
Volume :
10
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Carbon Management
Publication Type :
Academic Journal
Accession number :
edsdoj.929425930c9745e8b2fe65ce61cbefd0
Document Type :
article
Full Text :
https://doi.org/10.1080/17583004.2019.1605481