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1997 年至 2014 年中国农业 CO 排放强度的影响因素。

The influencing factors of CO emission intensity of Chinese agriculture from 1997 to 2014.

机构信息

School of Management, Jiangsu University, 212013, Zhenjiang, People's Republic of China.

Center for Energy and Environmental Policy Research, Beijing Institute of Technology, 100081, Beijing, People's Republic of China.

出版信息

Environ Sci Pollut Res Int. 2018 May;25(13):13093-13101. doi: 10.1007/s11356-018-1549-6. Epub 2018 Feb 27.

Abstract

In China, agriculture produces the greatest chemical oxygen demand (COD) emissions in wastewater and the most methane (CH) emissions. It is imperative that agricultural pollution in China be reduced. This study investigated the influencing factors of the CO emission intensity of Chinese agriculture from 1997 to 2014. We analyzed the influencing factors of the CO 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 CO 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.

摘要

在中国,农业生产产生的废水中化学需氧量(COD)排放量最大,甲烷(CH)排放量也最大。减少中国农业污染已迫在眉睫。本研究调查了 1997 年至 2014 年中国农业 CO 排放强度的影响因素。我们通过第一阶段最小二乘回归分析了 CO 排放强度的影响因素。我们还通过第二阶段最小二乘回归分析了创新的决定因素。我们发现,在全国模型中,创新对 CO 排放强度有负向影响。FDI 对中国的创新有正向影响。通过农业劳动力培训和农业与学术界之间的合作,加强本土创新对绿色农业非常重要。

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