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Literature DB >> 29488199

The influencing factors of CO₂ emission intensity of Chinese agriculture from 1997 to 2014.

Xingle Long^1,2, Yusen Luo³, Chao Wu³, Jijian Zhang³.

Abstract

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.

Entities: Chemical

Keywords: Agriculture; FDI; Indigenous innovation

Mesh：

Substances：

Year: 2018 PMID： 29488199 DOI： 10.1007/s11356-018-1549-6

Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN： 0944-1344 Impact factor: 4.223

3 in total

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3. Modeling pollution control and performance in China's provinces.

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6 in total

The influencing factors of CO₂ emission intensity of Chinese agriculture from 1997 to 2014.

1. A framework for sustainability science: a renovated IPAT identity.

Review 2. Enabling a sustainable and prosperous future through science and innovation in the bioeconomy at Agriculture and Agri-Food Canada.

3. Modeling pollution control and performance in China's provinces.

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