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农机社会化服务能促进农村居民的时间再配置吗?

Can agricultural machinery services promote the reallocation of rural residents’ time?

  • 摘要: 农机社会化服务作为农业劳动力的重要替代生产要素,其对农村居民非农就业参与的影响备受关注,但目前尚缺乏关于农机社会化服务如何影响农村居民在务农、非农就业及非生产性活动时间分配的系统研究。基于2019年和2023年全国5省25县2 000户农户的代表性调研数据,本文系统分析了农机社会化服务对农村居民时间配置的影响及其异质性。结果表明:1)农机社会化服务使用水平每提高1%,农村居民年务农时间平均减少0.61小时,非农就业时间平均增加1.03小时,而非生产性活动时间未见显著变化;2)农机社会化服务提升了家庭农业收入和个人非农收入,家庭平均每小时农业收入增加0.088元,个体年非农收入增加16.34元;3)农机社会化服务在播种和收割环节对农村居民时间再配置作用显著,均促进了务农时间的减少和非农就业时间的增加;4)农机社会化服务在降低女性、老年人、低学历者等弱势群体务农时间及增加低收入群体非农就业时间方面效果更为明显。基于此,建议政府加大对农机社会化服务的支持力度,重点推进播种和收割环节的机械化服务,促进农村居民时间优化配置,推动农业生产力提升与包容性非农就业的协同发展。

     

    Abstract: Agricultural machinery services, as a key substitute production factor for agricultural labor, have drawn considerable attention regarding their impact on rural residents’ participation in off-farm employment. However, systematic research on how these services affect rural residents’ time allocation among farming, off-farm employment, and non-productive activities remains limited. Using nationally representative primary survey data collected in 2019 and 2023 from 2,000 households across 100 villages in 50 townships of 25 counties spanning five provinces, this study systematically analyzes the effects of agricultural machinery services on rural residents’ time allocation and its heterogeneity. The results show that: 1) a 1 percent increase in the utilization of agricultural machinery services is associated with an average annual reduction of 0.61 hours in farming time and an increase of 1.03 hours in off-farm employment time, while non-productive activity time does not change significantly; 2) agricultural machinery services increase household agricultural income and individual off-farm income, with household average hourly agricultural income rising by 0.088 yuan and individual annual off-farm income increasing by 16.34 yuan; 3) agricultural machinery services in the sowing and harvesting stages significantly promote time reallocation by reducing farming time and increasing off-farm employment time; and 4) the effects are more pronounced among vulnerable groups, including females, the elderly, and less-educated individuals in reducing farming time, as well as among low-income groups in increasing off-farm employment time. Based on these findings, it is recommended that governments strengthen support for agricultural machinery services, with a focus on mechanization in sowing and harvesting, to optimize rural residents’ time allocation and promote coordinated improvements in agricultural productivity and inclusive off-farm employment.

     

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