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Author:

Tan, Juan (Tan, Juan.) | Lin, Chang Quan (Lin, Chang Quan.)

Indexed by:

EI Scopus

Abstract:

On the basis of the extended Kaya identity and by means of LMDI, the writers analyze quantitatively the 4 factors including carbon emission intensity of planting, agriculture structure, economical level, and population size, etc. thus giving effects to changes of carbon emissions from agricultural production in Sichuan Province from 1997 to 2010.The results show that carbon emission intensity of planting and agriculture structure have brought negative effects to the growth of carbon emissions. These effects will come into being more and more obviously. Economic level played a direct role in growth of carbon emissions, which is considered to be their greatest and everlasting contributor in respect of growth of carbon emissions. The contribution of population size keeps pace with carbon emissions basically. These reflect Sichuan Province have made some achievements in adjusting the agricultural structure in recent years. The rural population have been maintained under stable control in Sichuan. Meanwhile, with its economic development, the agriculture modernization has been improved gradually paying attention to, such as agriculture mechanization, chemization, irrigation and the demand for energy consumption keeps on rising. Finally, carbon emissions have increased in agricultural production of Sichuan Province. © (2014) Trans Tech Publications, Switzerland.

Keyword:

Agriculture Energy utilization Environmental technology Population statistics Machinery

Author Community:

  • [ 1 ] [Tan, Juan]School of Economics and Management, Beijing University of Technology China, Sichuan Agricultural University, China
  • [ 2 ] [Lin, Chang Quan]School of Economics and Management, Beijing University of Technology China, Sichuan Agricultural University, China

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Source :

ISSN: 1660-9336

Year: 2014

Volume: 448-453

Page: 4475-4481

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 19

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