How can information and communication technologies influence farmers’ agricultural income and labor productivity? Micro evidence from China

Based on a panel data from the National Rural Fixed Point Survey of China, this study explored the effects of information and communication technologies (ICTs) on agricultural income and labour productivity of Chinese farmers using fixed effects models and two-stage least square estimations. The results indicate that the deployment of mobile 3 G led to a reduction in both farmers’ agricultural income and agricultural net income by CNY 560.64 and 331.2, respectively, because ICTs prompted farmers to engage in off-farm employment, thereby allocating less time and input to farming activities. Village access to Internet and 3 G increased farmers’ labour productivity, measured by agricultural net income per day, with increments of CNY 2.09 and 11.15, respectively. ICTs also decreased farmers’ grain production, production cost, fertilizer use, and increased grain productivity. Furthermore, ICTs exhibited a spill-over effect, with non-users in Internet-connected villages demonstrating higher labour productivity compared to those in villages without Internet access. These results imply that agricultural labour productivity can be enhanced by employing ICTs for China and countries with small-scale farms. Nonetheless, greater attention should be paid to the potential trade-offs between the income growth facilitated by ICTs in rural out-migration and the decline in agricultural income and grain production.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2024-08-08
DOI
https://doi.org/10.1080/00036846.2024.2386845
Citations
3
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
4.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How can information and communication technologies influence farmers’ agricultural income and labor productivity? Micro evidence from China

Junfei Bai, Qiubo Zhu, Yann de Mey, Mariska van der Voort
3 citations
Applied Economics
Agricultural Innovations and Practices
4.03
article

How can information and communication technologies influence farmers’ agricultural income and labor productivity? Micro evidence from China

Junfei Bai, Qiubo Zhu, Yann de Mey, Mariska van der Voort
article en
3 citations

Abstract

Based on a panel data from the National Rural Fixed Point Survey of China, this study explored the effects of information and communication technologies (ICTs) on agricultural income and labour productivity of Chinese farmers using fixed effects models and two-stage least square estimations. The results indicate that the deployment of mobile 3 G led to a reduction in both farmers’ agricultural income and agricultural net income by CNY 560.64 and 331.2, respectively, because ICTs prompted farmers to engage in off-farm employment, thereby allocating less time and input to farming activities. Village access to Internet and 3 G increased farmers’ labour productivity, measured by agricultural net income per day, with increments of CNY 2.09 and 11.15, respectively. ICTs also decreased farmers’ grain production, production cost, fertilizer use, and increased grain productivity. Furthermore, ICTs exhibited a spill-over effect, with non-users in Internet-connected villages demonstrating higher labour productivity compared to those in villages without Internet access. These results imply that agricultural labour productivity can be enhanced by employing ICTs for China and countries with small-scale farms. Nonetheless, greater attention should be paid to the potential trade-offs between the income growth facilitated by ICTs in rural out-migration and the decline in agricultural income and grain production.

Applied EconomicsVol. 57(28)
China Agricultural University (CN), Capital University of Economics and Business (CN), Wageningen University & Research (NL)
National Natural Science Foundation of China, China Agricultural University
Decent work and economic growth
Openalex Percentile: Top 6%
Agricultural Innovations and Practices
4.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.