HAN Jinyu, QU Jiansheng, XU Li, LI Hengji, LIU Lina. The Spatial Effect of Agricultural Finance on Agricultural Greenhouse Gas Emission Intensity: An Empirical Analysis Based on the Spatial Durbin Model[J]. Journal of Ecology and Rural Environment, 2021, 37(11): 1404-1412. DOI: 10.19741/j.issn.1673-4831.2020.0783
    Citation: HAN Jinyu, QU Jiansheng, XU Li, LI Hengji, LIU Lina. The Spatial Effect of Agricultural Finance on Agricultural Greenhouse Gas Emission Intensity: An Empirical Analysis Based on the Spatial Durbin Model[J]. Journal of Ecology and Rural Environment, 2021, 37(11): 1404-1412. DOI: 10.19741/j.issn.1673-4831.2020.0783

    The Spatial Effect of Agricultural Finance on Agricultural Greenhouse Gas Emission Intensity: An Empirical Analysis Based on the Spatial Durbin Model

    • To support and regulate agricultural development, Chinese government is providing financial subsidies to farmers. This has greatly improved the agricultural production, and it has also an implication on greenhouse gas (GHG) emission intensities. The aim of this research is to assess the relationship between agriculture finance and GHG emission intensities. Based on the panel data of 31 provinces from 1997-2017, the research was carried out through the Spatial Durbin Model. The results show that the proportion of provincial agricultural finance increased significantly, leading to a decline in agricultural GHG emission intensities. The agriculture-supporting finance had a reducing effect on the intensity of agricultural GHG and had obvious spatial spillover characteristics; that is to say, the effect of a neighboring province's agriculture-supporting finance on the province's agricultural GHG reduction is stronger than that of the province's agriculture-supporting finances itself. In addition to agricultural finance, factors such as economic structure, urbanization level, urban-rural gap, agricultural development level, agricultural mechanization level, and cultivated land occupancy have affected the agricultural GHG intensities to varying levels, and there are spatial spillover effects to varying degrees. Because the agricultural finance has decreased the GHG intensities, it is necessary to choose this instrument to develop and promote lowcarbon agriculture. In addition, optimizing the agriculture structure and coordinating the spatial distribution should also be the direction of future agricultural finance.
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