Impact of high standard farmland construction
policy and farm machinery services on farm household income

Abstract

Abstract: The construction of high standard basic farmland to make up for the shortage of agricultural infrastructure is expected to become a new way to increase farmers' income. Based on the inter-provincial panel data, the mechanism of the impact of the implementation of the high-standard farmland construction policy on farmers’ income is empirically tested using the continuous DID, mediation model, and the research conclusion is obtained: the implementation of the high-standard farmland construction policy significantly promotes the growth of farmers’ income. The mechanism test found that the implementation of high standard farmland construction policy can improve farmers’ income by promoting the development of agricultural machinery services. The heterogeneity test found that the implementation of the high standard farmland construction policy has a significant effect on the increase of farmers’ income in the mountainous and plain areas and in the eastern, central and western regions with different levels of economic development, but the marginal contribution of the high standard farmland construction policy to the increase of farmers’ income is greater in the mountainous and east-central regions than in the plain and western regions. Therefore, it is suggested to comprehensively promote the construction of high-standard farmland and give full play to its income-generating effects; improve the agricultural socialization service system and promote the development of agricultural machinery services; coordinate the development of the region and formulate differentiated policies, etc.

Key words: high-standard farmland, farmers’ income, agricultural services, double-difference method; policy evaluation

摘要： 高标准基本农田建设补齐农业基础设施短板，有望成为农民增收的新路径。基于省际面板数据，使用连续型DID、中介模型实证检验高标准农田建设政策实施对农民收入的影响机制，得到研究结论：高标准农田建设政策实施显著促进了农民收入的增长。机制检验发现，高标准农田建设政策实施可以通过推动农机服务发展提高农民收入。异质性检验发现，在山地和平原地区、经济发展程度各异的东、中、西部地区，高标准农田建设政策实施对农民增收均有显著的促进作用，但相较于平原和西部地区，山地地区和东中部地区高标准农田建设政策对农民增收的边际贡献更大。据此提出全面推进高标准农田建设，发挥其增收效应；完善农业社会化服务体系，促进农机服务发展；区域协调发展，制定差异化政策等建议。

关键词: 高标准农田, 农民收入, 农机服务, 双重差分法, 政策评估

CLC Number:

F304.8

Dai Hao, Li Aobo, Wei Junying. Impact of high standard farmland construction policy and farm machinery services on farm household income[J]. Journal of Chinese Agricultural Mechanization.

戴浩, 李傲波, 魏君英. 高标准农田建设政策和农机服务对农户收入的影响[J]. 中国农机化学报.

References

[1] 戴浩, 魏君英. 数字普惠金融与农民增收——基于农户创业中介效应的再考察[J]. 浙江金融, 2023(3): 30-42.

Dai Hao, Wei Junying. Digital inclusive finance and the increase of farmers’ income: Based on the intermediary effect of farmers’ entrepreneurship [J]. Zhejiang Finance, 2023(3): 30-42.

[2] 杨丹, 曾巧. 农户创业加剧了农户收入不平等吗——基于RIF回归分解的视角[J]. 农业技术经济, 2021(5): 18-34.

Yang Dan, Zeng Qiao. Does farmers entrepreneurship increase income inequality? Based on the perspective of RIF regression decomposition [J]. Journal of Agrotechnical Economics, 2021(5): 18-34.

[3] 刘晓倩, 韩青. 农村居民互联网使用对收入的影响及其机理——基于中国家庭追踪调查(CFPS)数据[J]. 农业技术经济, 2018(9): 123-134.

Liu Xiaoqian, Han Qing.The influence of internet usage of rural residents on income and its mechanism: Based on China family panel studies (CFPS) data [J]. Journal of Agrotechnical Economics, 2018(9): 123-134.

[4] 张科, 熊子怡, 黄细嘉, 等. 红色旅游发展与革命老区城乡收入差距——基于双重差分法的经验分析[J]. 中国农村经济, 2023(5): 103-121.

Zhang Ke, XiongZiyi, Huang Xijia, et al. Red tourism and urban-rural income gap in old revolutionary base areas: an empirical analysis based on the difference-in-differences method [J]. Chinese Rural Economy, 2023(5): 103-121.

[5] 李江一, 仇童伟,李涵.农地确权影响农户收入的内在机制检验——基于中国家庭金融调查的面板证据[J].南京农业大学学报(社会科学版), 2021, 21(4): 103-116.

Li Jiangyi, QiuTongwei, Li Han. Identifying the mechanism by which land titling affects farm households’ income: evidence from china household finance survey [J]. Journal of Nanjing Agricultural University (Social Sciences Edition), 2021, 21(4): 103-116.

[6] 杜鑫, 张贵友. 土地流转对农村居民收入分配的影响——基于2020年10省份农户调查数据的实证分析[J]. 中国农村经济, 2022(5): 107-126.

Du Xin, Zhang Guiyou. The impact of land transfer on income distribution in rural china:an empirical analysis based on rural household survey data collected in 10 provinces in 2020 [J]. Chinese Rural Economy, 2022(5): 107-126.

[7] 李涛, 张鹏. 农地产权、要素配置与农户收入增长[J]. 经济问题探索, 2020(12): 43-54.

Li Tao, Zhang Peng. Farmland property right, factor allocation and peasant household income growth [J]. Inquiry into Economic Issues, 2020(12): 43-54.

[8] 孙学涛, 张丽娟, 王振华. 高标准农田建设对农业生产的影响——基于农业要素弹性与农业全要素生产率的视角[J]. 中国农村观察, 2023(4): 89-108.

Sun Xuetao, Zhang Lijuan, Wang Zhenhua. The impact of well-facilitated farmland construction on agricultural production: from the perspectives of agricultural factor elasticity and agricultural total factor productivity [J]. China Rural Survey, 2023(4): 89-108.

[9] 梁志会, 张露, 张俊飚. 土地整治与化肥减量——来自中国高标准基本农田建设政策的准自然实验证据[J]. 中国农村经济, 2021(4): 123-144.

Liang Zhihui, Zhang Lu, Zhang Junbiao. Land consolidation and fertilizer reduction: quasi-natural experimental evidence from China’s well-facilitated capital farmland construction [J]. Chinese Rural Economy, 2021(4): 123-144.

[10] 王斌, 王力, 李兴锋. 高标准基本农田建设政策能否抑制农业面源污染?[J]. 长江流域资源与环境, 2023, 32(8): 1736-1747.

Wang Bin, Wang Li, Li Xingfeng. Can the policy of building high standard farmland curb agricultural surface source pollution? [J]. Resources and Environment in the Yangtze Basin, 2023, 32(8): 1736-1747.

[11] 龚燕玲, 张应良. 高标准基本农田建设政策对粮食产能的影响[J]. 华中农业大学学报(社会科学版), 2023(4): 175-190.

Gong Yanling, Zhang Yingliang. Influence of well-facilitated capital farmland construction policy on grain productivity [J]. Journal of Huazhong Agricultural University (Social Sciences Edition), 2023(4): 175-190.

[12] 张志新, 周亚楠, 丁鑫. 高标准农田建设政策对农业绿色发展的影响研究[J]. 农林经济管理学报, 2023, 22(1): 113-122.

Zhang Zhixin, Zhou Yanan, Ding Xin. Impact of well-facilitated capital farmland construction programs on green agricultural development [J]. Journal of Agro-Forestry Economics and Management, 2023, 22(1): 113-122.

[13] 钱龙, 刘聪, 郑淋议, 等. 高标准农田建设如何影响农地流转[J]. 中国土地科学, 2023, 37(2): 62-70.

Qian Long, Liu Cong, Zheng Linyi, et al. How does high-standard farmland construction affect farmland transfer [J]. China Land Science, 2023, 37(2): 62-70.

[14] 孙学涛. 高标准农田建设对农业社会化服务的影响[J]. 中南财经政法大学学报, 2023(3): 150-160.

Sun Xuetao. Impact of the construction of high standard farmland on agricultural socialization services [J]. Journal of Zhongnan University of Economics and Law, 2023(3): 150-160.

[15] 陈宇斌, 王森. 农业综合开发投资的农业碳减排效果评估——基于高标准基本农田建设政策的事件分析[J]. 农业技术经济, 2023(6): 67-80.

Chen Yubin, Wang Sen. Evaluation of agricultural carbon reduction effect of agricultural comprehensive development investment: Event analysis based on high-standard farmland construction [J]. Journal of Agrotechnical Economics, 2023(6): 67-80.

[16] Nunn N, Qian N. The potato’s contribution to population and urbanization: Evidence from a historical experiment [J]. The Quarterly Journal of Economics, 2011, 126(2): 593-650

[17] 戴浩, 魏君英, 刘子宸. 非农就业、农机服务外包对粮食产量影响[J]. 中国农机化学报, 2023, 44(6): 244-250.

Dai Hao, Wei Junying, Liu Zichen. Impact of non-agricultural employment and agricultural machinery service outsourcing on grain output [J] . Journalof Chinese Agricultural Mechanization, 2023, 44(6): 244-250

[18] 刘昊璇, 赵华甫, 齐瑞. 多中心治理下高标准农田建设监督管理机制研究[J]. 中国农业资源与区划, 2022, 43(3): 164-172.

Liu Haoxuan, Zhao Huafu, Qi Rui. Research on supervision and management mechanism of high standard farmland construction under multi-center governance [J]. Chinese Journal of Agricultural Resources and Regional Planning, 2022, 43(3): 164-172.

[19] Benin S. Impact of Ghana’s agricultural mechanization services center program [J]. Agricultural Economics, 2016, 46(S1): 103-117.

[20] 李谷成, 李烨阳, 周晓时. 农业机械化、劳动力转移与农民收入增长——孰因孰果?[J]. 中国农村经济, 2018(11): 112-127.

Li Gucheng, Li Yeyang, Zhou Xiaoshi. Agricultural mechanization, labor transfer and the growth of farmer’s income: A reexamination of causality [J]. Chinese Rural Economy, 2018(11): 112-127.

Impact of high standard farmland construction policy and farm machinery services on farm household income

高标准农田建设政策和农机服务对农户收入的影响

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[6]	Chen Xin, Hu You, Qi Chunjie. . Influence of Internet use on adoption of agricultural machinery services and its heterogeneity [J]. Journal of Chinese Agricultural Mechanization, 2022, 43(10): 196-203.
[7]	. [J]. Journal of Chinese Agricultural Mechanization, 2021, 42(4): 205-210.
[8]	. [J]. Journal of Chinese Agricultural Mechanization, 2021, 42(3): 197-205.
[9]	Zhang Ruizhi, Liu Qianyuan, Shan Changxin, Yang Xiaowen. Research on high-standard farmland construction mode under the strategy of “storing food in land” [J]. Journal of Chinese Agricultural Mechanization, 2021, 42(11): 173-179.
[10]	. [J]. Journal of Chinese Agricultural Mechanization, 2020, 41(8): 217-222.
[11]	. [J]. Journal of Chinese Agricultural Mechanization, 2020, 41(3): 185-191.
[12]	. [J]. Journal of Chinese Agricultural Mechanization, 2020, 41(12): 183-188.
[13]	. [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(7): 204-207+220.
[14]	. [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(3): 221-226.
[15]	. [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(12): 231-236.