Analysis of CO2 emission driving factors in China's agriculture based on expanded Kaya identity

doi:10.7523/j.issn.2095-6134.2015.06.005

Abstract

Abstract:

Agricultural modernization is a transition process from traditional agriculture to modarn agriculture, and the low-carbon agricultural way is an important approach in this transition. This study decomposes the CO₂ emission into five contributory factors based on an expanded Kaya identity. The five factors are general technology, agricultural low-carbon technology, rural affluence, indirect urbanization, and total population scale. With the incremental analysis we find that the rural affluence, urbanization, and total population scale are driving the agricultural CO₂ emission positively, while the general technology and agricultural low-carbon technology are driving the agricultural CO₂ emission negatively. Contribution without direction to total agricultural CO₂ emission caused by alteration of each factor is exhibited as: rural affluence influence > agricultural low-carbon technology influence > indrect urbanization influence > general technology influence > total population scale influence.

Key words: agricultural CO₂ emission, Kaya identity, driving factor, factor decomposition

CLC Number:

X322

DAI Xiaowen, HE Yanqiu, ZHONG Qiubo. Analysis of CO₂ emission driving factors in China's agriculture based on expanded Kaya identity[J]. , 2015, 32(6): 751-759.

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Analysis of CO₂ emission driving factors in China's agriculture based on expanded Kaya identity

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