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数字技术采纳对喀斯特地区农户参与人居环境整治的影响——基于8省5704户经验数据 被引量:4

Impact of digital technology adoption on farmer’s participating in improvement of living environment in karst areas——Evidence from 8 provinces,China
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摘要 基于中国喀斯特地区贵州、云南、四川、重庆、广东、广西、湖南和湖北8省5704户调查数据,运用OProbit模型,探讨数字技术采纳对农户参与人居环境整治的影响及作用机制。结果表明:数字技术采纳对农户参与人居环境整治有显著的正向作用——边际效应为0.1057;考虑内生性问题后,结论依然成立;机制检验中,社会网络和信息渠道发挥部分中介作用,信息渠道的中介效应更大;东部喀斯特地区、家庭收入高的农户参与人居环境整治可能性更大。因此,建议扩大农村数字技术覆盖,拓宽农户社会网络和增加信息渠道,激发中西部地区、家庭收入低农户的内生动力。 Based on the survey data of 5704 households in karst areas,involving 8 provinces of Guizhou,Yunnan,Sichuan,Chongqing,Guangdong,Guangxi,Hunan and Hubei,OProbit model is used to explore the impact and mechanism of digital technology adoption on farmers’participation in the improvement of living environment.The results show that the digital technology adoption has a significant positive effect on farmers’participation in the improvement of living environment,the marginal effect is 0.1057.While considering the endogenous problem,the conclusion is still valid.In the mechanism test,social networks and information channels play part of the intermediary role,and the intermediary effect of information channels is greater.In the eastern karst area,farmers with high household income are more likely to participate in the improvement of living environment.Therefore,it is suggested to expand the coverage of rural digital technology,expand farmers’social networks,increase information channels and stimulate the endogenous power of low-income farmers in the central and western regions.
作者 伍国勇 黄泽珍 郭伟良 WU Guoyong;HUANG Zezhen;GUO Weiliang(School of Economics,Guizhou University,Guiyang 550025;Western Development Capacity Research Center,Guizhou University,Guiyang 550025,China)
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2023年第5期24-30,共7页 Journal of Arid Land Resources and Environment
基金 贵州大学文科智库重大专项课题(编号:GDZX2021029)阶段成果及校级文科项《“脱贫”到“振兴”:乡村发展的内生动力形成逻辑研究》阶段成果 “中国喀斯特地区农村经济调查(CKRS)项目”资助
关键词 数字技术采纳 人居环境整治 中国喀斯特地区 Oprobit模型 digital technology adoption living environment improvement Karst areas in China Oprobit model
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