Journal of Food, Agriculture and Environment

Provincial agricultural carbon emissions in China: Calculation, efficiency change and convergence test

Author(s):

Xian-rong Wu ^{1, 2}, Jun-biao Zhang ^{1, 2}*, Asela Kumudu Kulatunga ³, Yun Tian ^{1, 2}

Recieved Date: 2014-02-20, Accepted Date: 2014-04-08

Abstract:

This paper took into account both the expected outputs and unexpected outputs in the agricultural economic accounting system, building a DEA-Malmquist index based on the calculation of agricultural carbon emissions, to estimate agricultural carbon emissions performance of 31 provinces (autonomous regions, municipalities) in China from 1999 to 2011. Results show that: (1) provincial differences exist in different regions: there are 24 regions’ agricultural carbon emissions performance being in ascension, such as Inner Mongolia, Beijing, Heilongjiang, Jilin, etc., while the other 7 regions’ deteriorating. (2) The main contribution factors of the agricultural carbon emissions performance varies much among the three areas in China: the agricultural carbon emissions performance in the East is improving owes to technical changes, while it mainly depends on the improvement of technical efficiency in the Central and the West areas with worsening trend. Further, from the convergence test, we found that (3) the standard deviation of China’s agricultural carbon emissions efficiency shows an inverted-U shape curve, as well as the East, the Central and the West area. (4) China’s agricultural carbon emissions efficiency has both absolute and conditional β-convergence; in the east area, while a conditional β-convergence is existing, no absolute β-convergence is available; there is neither conditional nor absolute β-convergence in the Central area, and so does the West area.

Keywords:

Agricultural carbon emissions, efficiency change, convergence, DEA-Malmquist index

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Journal: Journal of Food, Agriculture and Environment
Year: 2014
Volume: 12
Issue: 2
Category: Agriculture
Pages: 503-508

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