The influencing factors and spillover effects of interprovincial agricultural carbon emissions in China

PLoS One. 2020 Nov 4;15(11):e0240800. doi: 10.1371/journal.pone.0240800. eCollection 2020.

Abstract

Agricultural carbon emissions have become the constraints of agricultural low-carbon and circular economy development in China. China's agricultural production faces severe pressures and challenges in agricultural carbon reduction. In this paper, we take observation for the 31 provinces in china from 1997 to 2017, to explore the influencing factors and spatial spillover effects of agricultural by estimating spatial panel data models. The results show that China's agricultural carbon emissions will continue to increase in the future, because the growth of per capita gross domestic product (GDP) is the main driving force to accelerate the growth of agricultural carbon emissions, but the agricultural input factors will help to reduce the growth of carbon emissions. Moreover, it is proved that economic factors and agricultural input factors have direct effects and spatial spillover effects on agricultural carbon emissions except for agricultural environmental factors. In the short term, strengthening environmental protection may bring some pressure to the economic development of some places, but to achieve high-quality development, we must fundamentally solve the problem of environmental pollution. The conclusion provides important enlightenment and scientific basis for formulating effective policies to curb the growth of CO2 emissions in China.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agriculture / economics
  • Agriculture / methods*
  • Agriculture / trends
  • Air Pollutants / analysis*
  • Algorithms
  • Carbon / analysis*
  • Carbon Dioxide / analysis
  • China
  • Economic Development / statistics & numerical data*
  • Economic Development / trends
  • Environmental Pollution / analysis
  • Models, Theoretical

Substances

  • Air Pollutants
  • Carbon Dioxide
  • Carbon

Grants and funding

This study is funded by National Social Science Fund of China (No. 14ZDB135), the National Natural Science Foundation of China (No. 71373173) and the National Social Science Foundation of China (No. 2014B10130).