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Quantifying the Income-Increasing Effect of Digital Agriculture: Take the New Agricultural Tools of Smartphone as an Example

Author

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  • Xin Luo

    (College of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Shubin Zhu

    (College of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China
    Rural Development Research Center of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China
    Institute of Jiangxi Selenium-Rich Agricultural Research, Jiangxi Agricultural University, Nanchang 330045, China)

  • Zhenjiang Song

    (College of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China
    Rural Development Research Center of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China
    Institute of Jiangxi Selenium-Rich Agricultural Research, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

Smartphones are increasingly used in rural areas and have become indispensable new farming tools in farmers’ production and their lives. Based on data from the 2018 China Household Tracking Survey, this study uses ordinary least squares regression with two-stage least squares as a benchmark regression to investigate the impact of the extent of smartphone use on farm household income. Our findings are as follows. ① The degree of use of new smartphone farming tools has a significant income-increasing effect on farm households. ② There is variability in the impact of the use of new smartphone farming tools on the income of farmers in different regions. The highest income-generating effects on the use of smartphone tools were found in the western region, followed by the eastern region, with the smallest effects found in the central region. ③ Low-income farmers have the highest income effects from using new smartphone farming tools. We therefore recommend further improving the digital infrastructure in rural areas to give full play to the driving force of digital technology.

Suggested Citation

  • Xin Luo & Shubin Zhu & Zhenjiang Song, 2023. "Quantifying the Income-Increasing Effect of Digital Agriculture: Take the New Agricultural Tools of Smartphone as an Example," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3127-:d:1064539
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    References listed on IDEAS

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    1. Lin Xie & Biliang Luo & Wenjing Zhong, 2021. "How Are Smallholder Farmers Involved in Digital Agriculture in Developing Countries: A Case Study from China," Land, MDPI, vol. 10(3), pages 1-16, March.
    2. Jung, Juan & López-Bazo, Enrique, 2020. "On the regional impact of broadband on productivity: The case of Brazil," Telecommunications Policy, Elsevier, vol. 44(1).
    3. Lopez-Sintas, Jordi & Lamberti, Giuseppe & Sukphan, Jakkapong, 2020. "The social structuring of the digital gap in a developing country. The impact of computer and internet access opportunities on internet use in Thailand," Technology in Society, Elsevier, vol. 63(C).
    4. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
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    1. Zhen Wang & Jiayi Zhu & Xieqihua Liu & Dongdong Ge & Bin Liu, 2023. "Research on Spatial-Temporal Characteristics and Affecting Factors of Agricultural Green Total Factor Productivity in Jiangxi Province," Sustainability, MDPI, vol. 15(11), pages 1-19, June.

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