中国农业碳排放的空间分异与动态演进——基于空间和非参数估计方法的实证研究

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Abstract

In order to study the spatial distribution and dynamic evolution trend of agricultural carbon emission, the research measured agricultural carbon emission and calculated agricultural carbon emission intensity of 29 provinces in China over the period 1993~2017, and finally investigated the spatial differentiation and dynamic evolution process of agricultural carbon emission using spatial and non-parametric estimation methods. The results showed that China's agricultural carbon emission presented the "center-periphery" pattern distribution and a diffusion trend to "periphery". China's agricultural carbon emission intensity showed a gradual decline trend, presenting a stepwise pattern distribution of west high and east low. The regional disparities of agricultural carbon emission emerged downtrend in China. The distribution of agricultural carbon emission has changed from "two mains and one minor" to "one main". At the same time, the regional distribution pattern of agricultural carbon emission in China has changed from "bipolar" to "multi-polar"

Key words： agricultural carbon emission dynamic evolution kernel density conditional density

Received: 11 August 2019

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X171

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	Articles by authors
	ZHANG Sheng-yong
	YIN Chao-jing
	HE Ya-ya
	XIAO Xiao-yong

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ZHANG Sheng-yong,YIN Chao-jing,HE Ya-ya等. Spatial differentiation and dynamic evolution of agricultural carbon emission in China——Empirical research based on spatial and non-parametric estimation methods[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(3): 1356-1363.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I3/1356

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