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The impact of digital infrastructure construction on farmers' income: empirical research based on Chinese data

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成果类型:
期刊论文
作者:
Lei, Xiao;Zhou, Lin;Hu, Wentao
通讯作者:
Zhou, L
作者机构:
[Lei, Xiao] Xiamen Univ, Sch Econ, Xiamen, Peoples R China.
[Zhou, Lin; Zhou, L] Wuhan Polytech Univ, Sch Econ, 36 Huanhu Zhong Rd, Wuhan 430048, Hubei Province, Peoples R China.
[Zhou, Lin] Ctr Cty Econ Dev Res Hubei, Wuhan, Peoples R China.
[Hu, Wentao] Henan Univ Technol, Sch Econ & Trade, Zhengzhou, Peoples R China.
通讯机构:
[Zhou, L ] W
Wuhan Polytech Univ, Sch Econ, 36 Huanhu Zhong Rd, Wuhan 430048, Hubei Province, Peoples R China.
语种:
英文
关键词:
Digital infrastructure construction;broadband China policy;farmers’ income;double machine learning;O13;O33;Q16
期刊:
Applied Economics Letters
ISSN:
1350-4851
年:
2025
基金类别:
Research Funding of Wuhan Polytechnic University [2025RZ080]; Natural Science Foundation of Hubei Province [2025AFC041]
机构署名:
本校为通讯机构
院系归属:
经济学院
摘要:
Taking the Broadband China policy as a quasi-natural experiment, this paper uses a double machine learning based on difference-in-differences approach to investigate the impact of digital infrastructure construction on farmers' income based on the county-level panel data from 2010 to 2022 in China. The results show that digital infrastructure construction can significantly increase farmers' income, and the effect is more pronounced in west regions and the Non-Major Grain Producing Areas. Mechanism analysis suggests that digital infrastructure construction increases farmers' income by reducing ...

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