RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2016, Vol. 25 >> Issue (05): 695-701.doi: 10.11870/cjlyzyyhj201605001

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INFLUENCING FACTOR DECOMPOSITION OF PLANTING CARBON EMISSION IN CENTRAL CHINA

GUO Xuan, ZHANG Liang-mao, HU Rong-gui, SONG Ming-wei   

  1. College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
  • Received:2015-09-03 Revised:2015-12-20 Online:2016-05-20
  • Supported by:
    National Natural Science Foundation of China (41101494);ChinaClean Development Mechanism (CDM) Fund

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Abstract: Agriculture is the second artificial source of GHG emission. Therefore, it's of significance to reduce agricultural carbon emission and to explore the factors of agricultural carbon emission. In this paper, the method of IPCC Guidelines for National Greenhouse Gas Inventories is used to calculate the planting carbon emissions of central China from 1994 to 2013. Based on the Kaya model and the grey system theory model we identified the drives of planting carbon emission and the relationship between carbon emission and its influencing factors. The result showed that:(1) there was an increasing trend year by year of planting production carbon emission in central China, the planting carbon emission reached 11257.63 million tons of carbon dioxide in 2013, an increase of 101.29%, 24.88%, 21.73% compared to 1994 in Henan, Hubei and Hunan province, respectively. (2) In the past 20 years, the factors of efficiency, structure and labor scale can restrain carbon emission. But the factors of economic development is urge carbon emission, it played an important role in planting production carbon emission. (3) In 20 years of agriculture development, the dominant factors is planting structure, and the next is population of agriculture worker, the value of planting, and per capita agricultural material consumption, respectively.

Key words: plantingproduction, factor decomposition, Kaya identical equation, gray correlation

CLC Number: 

  • X22
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