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农业农村大数据政策何以促进农民增收?

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促进农民收入持续增长是做好农业农村工作的关键所在.文章以《农业农村大数据试点方案》的实施为一次准自然实验,基于2000-2021年我国27个省份面板数据,运用倾向匹配双重差分法(PSM-DID),实证探讨农业农村大数据政策的农民增收效应.研究结果表明:农业农村大数据政策能够显著提升农民收入;其作用机制通过推动农业产业结构升级、提高农业生产经营效率、提升农村数字应用水平来促进农民增收;农业农村大数据政策对农民增收的影响存在区域异质性和项目异质性,政策正向显著影响中部、西部和东北部农民收入,负向影响东部农民收入,且对不同地区的农民收入类型产生不同影响,四大试点项目中的市场化建设与运营机制对农民增收效应最显著,但不同类型的项目对不同区域农民收入的影响具有差异性.对此,必须进一步明确政策导向、健全政策体系、抓好政策试点等,因地制宜、充分发挥农业农村大数据政策的农民增收效应.
How Can Agricultural and Rural Big Data Policies Promote Farmers'Income Growth?
Promoting the continuous growth of farmers'income is the key to improve agricultural and rural work.The implementation of the"Agricultural and Rural Big Data Pilot Program"was reviewed as a quasi-natural experiment.Based on panel data from 27 provinces in China from 2000 to 2021,the income-increasing effects of agricultural and rural big data policies were empirically explored using the Propensity Score Matching-Difference in Differences method(PSM-DID).The research results indicated that agricultural and rural big data policies could significantly enhance farmers'income.The mechanisms of action included promoting the upgrading of agricultural industrial structures,improving agricultural production and operational efficiency,and enhancing the level of digital application in rural areas to boost farmers'income.Furthermore,the impact of agricultural and rural big data policies on farmers'income exhibited regional and project heterogeneity.The policies had a significant positive effect on the income of farmers in the central,western,and northeastern regions,while negatively affecting the income of farmers in the eastern region.Additionally,the impact on different types of farmers'income varied across regions.Among the four major pilot projects,the market-oriented construction and operational mechanisms had the most significant effect on increasing farmers'income,but different types of projects had varying impacts on farmers'income in different regions.Therefore,it was necessary to further clarify policy orientation,improve the policy system,and effectively implement pilot policies,adapt to local conditions to fully leverage the income-increasing effects of agricultural and rural big data policies.

agricultural and rural big data pilot programfarmers'income increaseagricultural production and operational efficiencyagricultural industrial structurerural digital application level

熊春林、李漱、刘俏

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湖南农业大学公共管理与法学学院,长沙 410128

农业农村大数据试点方案 农民增收 农业生产经营效率 农业产业结构 农村数字应用水平

2024

农业经济与管理
东北农业大学

农业经济与管理

CHSSCD北大核心
影响因子:0.852
ISSN:1674-9189
年,卷(期):2024.(6)