Decomposition of China’s CO2 emissions from agriculture utilizing an improved Kaya identity
2014
Li, Wei | Ou, Qingxiang | Chen, Yulu
In recent decades, China’s agriculture has been experiencing flourishing growth accompanied by rising pesticide consumption, fertilizer consumption, energy consumption, etc. and increasing CO₂emissions. Analyzing the driving forces of agricultural CO₂emissions is key requirements for low-carbon agricultural policy formulation and decomposition analysis is widely used for this purpose. This study estimates the agricultural CO₂emissions in China from 1994 to 2011 and applies the Logarithmic Mean Divisia Index (LMDI) as the decomposition technique. Change in agricultural CO₂emissions is decomposed from 1994 to 2011 and includes a measure of the effect of agricultural subsidy. Results illustrate that economic development acts to increase CO₂emissions significantly. Agricultural subsidy acts to reduce CO₂emissions effectively and has increased in recent years. Policy is needed to significantly optimize agricultural subsidy structure and change agricultural development pathway, if China’s low-carbon agriculture target is to be achieved. This requires not only decreasing pesticide consumption, fertilizer consumption, energy consumption, etc. but also transformation of China’s agricultural development path for optimal outcomes.
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