Study on the Spatial Spillover Effects of Agricultural Carbon Absorption in China
Abstract
Improving agricultural
carbon absorption is an effective means to reduce emissions and increase
absorption in agriculture and to achieve carbon neutrality. Different regions
in China have obvious differences in resource endowments, but few studies have
studied the spatial effects of agricultural carbon absorption in China from a
spatial perspective, and its spatial characteristics are still unclear. In the
context of carbon neutrality, we measured agricultural carbon absorption in 30
Chinese provinces from 2000 to 2019 and measured the spatial spillover effects
of agricultural carbon absorption by using a spatial panel Durbin model. The
study finds that: agricultural carbon absorption in China is both positive from
2000 to 2019 but varied widely among provinces. Agricultural carbon absorption
increases over time in 19 provinces, and decreases over time in the remaining
11 provinces. To measure the spatial correlation of inter-provincial
agricultural carbon absorption, the global spatial autocorrelation Moran’s I
index shows that the inter-provincial agricultural carbon absorption in China
presents a significant positive correlation in space and there is local
clustering. As for the spatial effect of agricultural carbon absorption,
agricultural industrial restructuring, economic development level, agricultural
infrastructure level, and environmental regulation policies have a significant
spatial spillover effect on the inter-provincial agricultural carbon absorption
in China.
Keywords: agriculture; carbon absorption; spatial spillover effects
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