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农村数字经济的发展能减少农业碳排放吗?基于中国各省的时空实证研究。

Can the development of the rural digital economy reduce agricultural carbon emissions? A spatiotemporal empirical study based on China's provinces.

作者信息

Jin Mingming, Feng Yong, Wang Shuokai, Chen Ni, Cao Fangping

机构信息

School of Economics and Management, Beijing Forestry University, No.35, Tsinghua East Road, Haidian District, Beijing 100083, China.

School of Economics and Management, Beijing Forestry University, No.35, Tsinghua East Road, Haidian District, Beijing 100083, China.

出版信息

Sci Total Environ. 2024 Aug 20;939:173437. doi: 10.1016/j.scitotenv.2024.173437. Epub 2024 May 23.

Abstract

Rapid advancement of the rural digital economy has intensified the demand for leveraging digital tools to foster low-carbon and sustainable agricultural practices, garnering widespread academic and bureaucratic attention. Understanding how the rural digital economy influences agricultural carbon emissions is crucial for unlocking emission reduction potential, facilitating a transition towards sustainable energy usage in rural areas, and nurturing green agricultural development. In this study, we employ the entropy method, a spatial Durbin model, and a panel threshold model to assess the impact of the rural digital economy on agricultural carbon emissions across each province in China from 2010 to 2022. Additionally, we delve into the mechanism through which the rural digital economy facilitates agricultural carbon reduction, particularly in terms of "agricultural socialized services". Our findings reveal several key insights. Firstly, the rural digital economy contributes significantly to reducing agricultural carbon emission intensity. Secondly, there is a non-linear relationship between the rural digital economy and agricultural carbon emissions. With the development of rural digital economy showing a marginal decreasing trend, there is an obvious threshold effect. Thirdly, enhancing agricultural socialized services through the rural digital economy can curb agricultural carbon emissions. Lastly, the carbon reduction effect of the rural digital economy is more significant in more economically developed areas, areas with moderate levels of economic development, and areas with low technological investment; implementation of a "zero growth" policy for fertilizers strengthens this carbon reduction effect. This study sheds light on the mechanisms and effects of agricultural carbon emissions, offering quantitative evidence and theoretical support for the transition towards low-carbon and sustainable agricultural development.

摘要

农村数字经济的快速发展加剧了利用数字工具促进低碳和可持续农业实践的需求,受到了学术界和政府部门的广泛关注。了解农村数字经济如何影响农业碳排放对于挖掘减排潜力、推动农村地区向可持续能源使用转型以及培育绿色农业发展至关重要。在本研究中,我们采用熵值法、空间杜宾模型和面板门槛模型,评估2010年至2022年中国各省份农村数字经济对农业碳排放的影响。此外,我们深入探讨了农村数字经济促进农业碳减排的机制,特别是在“农业社会化服务”方面。我们的研究结果揭示了几个关键见解。首先,农村数字经济对降低农业碳排放强度有显著贡献。其次,农村数字经济与农业碳排放之间存在非线性关系。随着农村数字经济的发展呈边际递减趋势,存在明显的门槛效应。第三,通过农村数字经济加强农业社会化服务可以抑制农业碳排放。最后,农村数字经济的碳减排效应在经济较发达地区、经济发展水平中等地区和技术投入较低地区更为显著;实施化肥“零增长”政策可增强这种碳减排效应。本研究揭示了农业碳排放的机制和影响,为向低碳和可持续农业发展转型提供了定量证据和理论支持。

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