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author:

Fei, Rilong (Fei, Rilong.) [1] | Lin, Boqiang (Lin, Boqiang.) [2]

Indexed by:

SSCI EI Scopus SCIE

Abstract:

The purpose of this paper is to explore CO2 emission efficiency in china's agricultural sector during the period 2001-2012. We also analyze the CO2 emission reduction potential as well as its two main contributors (i.e. technology gap inefficiency and managerial failure). The meta-frontier framework is adopted to reflect technology heterogeneities in China's agricultural sector among the eastern, central and western regions. Based on the DEA (data envelopment analysis) method, the models are estimated by means of linear programming. Empirical results indicate that CO2 emission efficiency of the agricultural sector in western China is the lowest compared with eastern and central China; stemming from the fact that most provinces in western China generally fall behind in terms of technology. The total potential agricultural CO2 emissions reduction is estimated at 1161.33 million tons, which can be attributed to managerial failure in the case of eastern and central China. For western China, it can be attributed to both technological gap inefficiency and managerial failure. (C) 2016 Elsevier Ltd. All rights reserved.

Keyword:

Agricultural sector CO2 emission efficiency Meta-frontier Technological gap Technology heterogeneities

Community:

  • [ 1 ] [Fei, Rilong]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Lin, Boqiang]Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Xiamen 361005, Fujian, Peoples R China

Reprint 's Address:

  • [Lin, Boqiang]Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Xiamen 361005, Fujian, Peoples R China

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Source :

ECOLOGICAL INDICATORS

ISSN: 1470-160X

Year: 2017

Volume: 73

Page: 653-661

3 . 9 8 3

JCR@2017

7 . 0 0 0

JCR@2023

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:247

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 51

SCOPUS Cited Count: 51

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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