期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 25, 期 13, 页码 13093-13101出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-018-1549-6
关键词
Agriculture; Indigenous innovation; FDI
资金
- National Natural Science Foundation of China [71603105, 71673117, 71471076]
- Natural Science Foundation of Jiangsu, China [SBK2016042936]
- Science Foundation of Ministry of Education of China [16YJC790067]
- China Postdoctoral Science Foundation [2017M610051]
In China, agriculture produces the greatest chemical oxygen demand (COD) emissions in wastewater and the most methane (CH4) emissions. It is imperative that agricultural pollution in China be reduced. This study investigated the influencing factors of the CO2 emission intensity of Chinese agriculture from 1997 to 2014. We analyzed the influencing factors of the CO2 emission intensity through the first-stage least-square regression. We also analyzed determinants of innovation through the second-stage least-square regression. We found that innovation negatively affected the CO2 emission intensity in the model of the nation. FDI positively affected innovation in China. It is important to enhance indigenous innovation for green agriculture through labor training and collaboration between agriculture and academia.
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