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The Impact of Internet Use on Income: The Case of Rural Ghana

Author

Listed:
  • Anthony Siaw

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Yuansheng Jiang

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Martinson Ankrah Twumasi

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Wonder Agbenyo

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

This study analyzed the effects of internet use on farm income and household income using survey data from 478 rural farmers from two regions in Ghana. An endogenous switching regression (ESR) model and probit models were employed to achieve the aims of the study. The results revealed that internet use was influenced by off-farm employment, education, access to credit, non-fixed asset (NFA), age, and perception variables. We found that internet use increased farm income and household income by 20.1% and 15.47%, respectively. Regarding heterogeneous impacts, the estimates showed that internet use reduced farm income by 18.12% for farm households that participated in off-farm activities but increased farm income by 14.66% for households that had access to NFA. The estimates also indicated that internet use increased household income by 31.77% for farm households that engaged in off-farm employment and by 15.33% for those that had access to NFA. Furthermore, internet use increased the household income for households that did not engage in off-farm activities by 24.85%. The findings of this study will contribute significantly to the existing literature on information communication technology (ICT) in developing countries by providing a new reference for improving rural development and solving the problem of poverty.

Suggested Citation

  • Anthony Siaw & Yuansheng Jiang & Martinson Ankrah Twumasi & Wonder Agbenyo, 2020. "The Impact of Internet Use on Income: The Case of Rural Ghana," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3255-:d:346652
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    1. Briggeman, Brian C. & Whitacre, Brian E., 2010. "Farming and the Internet: Reasons for Non-Use," Agricultural and Resource Economics Review, Cambridge University Press, vol. 39(3), pages 571-584, October.
    2. Aparajita Goyal, 2010. "Information, Direct Access to Farmers, and Rural Market Performance in Central India," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 22-45, July.
    3. Edward E Leamer & Michael Storper, 2001. "The Economic Geography of the Internet Age," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 32(4), pages 641-665, December.
    4. Chenxin Leng & Wanglin Ma & Jianjun Tang & Zhongkun Zhu, 2020. "ICT adoption and income diversification among rural households in China," Applied Economics, Taylor & Francis Journals, vol. 52(33), pages 3614-3628, June.
    5. Wei-Hsun Lee & Char-Shin Miou & Yeou-Fuh Kuan & Tung-Lung Hsieh & Chien-Ming Chou, 2018. "A peer-to-peer transaction authentication platform for mobile commerce with semi-offline architecture," Electronic Commerce Research, Springer, vol. 18(2), pages 413-431, June.
    6. Hübler, Michael & Hartje, Rebecca, 2016. "Are smartphones smart for economic development?," Economics Letters, Elsevier, vol. 141(C), pages 130-133.
    7. Kirui, Oliver K. & Okello, Julius J. & Nyikal, Rose A. & Njiraini, Georgina W., 2013. "Impact of Mobile Phone-Based Money Transfer Services in Agriculture: Evidence from Kenya," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(2), pages 1-22, May.
    8. Davis, Benjamin & Di Giuseppe, Stefania & Zezza, Alberto, 2017. "Are African households (not) leaving agriculture? Patterns of households’ income sources in rural Sub-Saharan Africa," Food Policy, Elsevier, vol. 67(C), pages 153-174.
    9. Renwick, A. & Ma, W. & Nie, P. & Tang, J., 2018. "The Joint Effects of Off-farm Work and Smartphone Use on Household Income in Rural China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277304, International Association of Agricultural Economists.
    10. Stenberg, Peter L., 2010. "American Policy And The Evolving Broadband Internet Network," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 25(4), pages 1-5.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. Dimitri, Carolyn & Oberholtzer, Lydia & Zive, Michelle & Sandolo, Cristina, 2015. "Enhancing food security of low-income consumers: An investigation of financial incentives for use at farmers markets," Food Policy, Elsevier, vol. 52(C), pages 64-70.
    13. Susan Wyche & Charles Steinfield, 2016. "Why Don't Farmers Use Cell Phones to Access Market Prices? Technology Affordances and Barriers to Market Information Services Adoption in Rural Kenya," Information Technology for Development, Taylor & Francis Journals, vol. 22(2), pages 320-333, April.
    14. Marcel Fafchamps & Bart Minten, 2012. "Impact of SMS-Based Agricultural Information on Indian Farmers," The World Bank Economic Review, World Bank, vol. 26(3), pages 383-414.
    15. Michailidis, Anastasios & Partalidou, Maria & Nastis, Stefanos A. & Papadaki-Klavdianou, Aphrodite & Charatsari, Chrysanthi, 2011. "Who goes online? Evidence of internet use patterns from rural Greece," Telecommunications Policy, Elsevier, vol. 35(4), pages 333-343, May.
    16. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    17. May, Daniel & Arancibia, Sara & Behrendt, Karl & Adams, John, 2019. "Preventing young farmers from leaving the farm: Investigating the effectiveness of the young farmer payment using a behavioural approach," Land Use Policy, Elsevier, vol. 82(C), pages 317-327.
    18. Arega Alene & V. Manyong, 2007. "The effects of education on agricultural productivity under traditional and improved technology in northern Nigeria: an endogenous switching regression analysis," Empirical Economics, Springer, vol. 32(1), pages 141-159, April.
    19. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2018. "The impacts of postharvest storage innovations on food security and welfare in Ethiopia," Food Policy, Elsevier, vol. 75(C), pages 52-67.
    20. Qin Fan & Vania B. Salas Garcia, 2018. "Information Access and Smallholder Farmers’ Market Participation in Peru," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 476-494, June.
    21. Jenny C. Aker, 2011. "Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries," Agricultural Economics, International Association of Agricultural Economists, vol. 42(6), pages 631-647, November.
    22. Deng, Xin & Xu, Dingde & Zeng, Miao & Qi, Yanbin, 2019. "Does Internet use help reduce rural cropland abandonment? Evidence from China," Land Use Policy, Elsevier, vol. 89(C).
    23. Ma, Wanglin & Renwick, Alan & Nie, Peng & Tang, Jianjun & Cai, Rong, 2018. "Off-farm work, smartphone use and household income: Evidence from rural China," China Economic Review, Elsevier, vol. 52(C), pages 80-94.
    24. Mijeong Park & Hana Yoo & Jeongeun Kim & Jisan Lee, 2018. "Why do young people use fitness apps? Cognitive characteristics and app quality," Electronic Commerce Research, Springer, vol. 18(4), pages 755-761, December.
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    9. Xinyan Wei & Ying Liu & Yang Liu, 2023. "Study on the Impact of Internet Usage, Aging on Farm Household Income," Sustainability, MDPI, vol. 15(19), pages 1-16, September.
    10. Do, Quan Duc & Nguyen, The Kien & Tran, Tung Thanh & Truong, Thanh Bao & Do, Nga Thi & Hoang, Lam Khanh, 2023. "Determinants of smartphone adoption and its benefits to the financial performance of agricultural households: Evidence from Hoa Binh province, Vietnam," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 13(01), January.
    11. Martinson Ankrah Twumasi & Hongyun Zheng & Love Offeibea Asiedu-Ayeh & Anthony Siaw & Yuansheng Jiang, 2023. "Access to Financial Services and Its Impact on Household Income: Evidence from Rural Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(4), pages 869-890, August.
    12. Mhlanga David & Beneke John, 2021. "The Fourth Industrial Revolution: Exploring the Determinants of Internet Access in Emerging Economies," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 66(3), pages 77-92, December.
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    14. Dela Maria Ardianti & Djoni Hartono & Putu Angga Widyastaman, 2023. "Offline and hungry: the effect of internet use on the food insecurity of Indonesian agricultural households," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-18, December.
    15. Frank Kyei-Arthur, 2024. "Prevalence and predictors of internet use among Ghanaian older adults: evidence from the Ghana 2021 Population and Housing Census," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    16. Khan, Nawab & Ray, Ram L. & Zhang, Shemei & Osabuohien, Evans & Ihtisham, Muhammad, 2022. "Influence of mobile phone and internet technology on income of rural farmers: Evidence from Khyber Pakhtunkhwa Province, Pakistan," Technology in Society, Elsevier, vol. 68(C).
    17. Lingpeng Meng & Xiang Yu & Chuanfeng Han & Pihui Liu, 2022. "Does Internet Use Aggravate Public Distrust of Doctors? Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    18. Ankrah Twumasi, Martinson & Jiang, Yuansheng & Asante, Dennis & Addai, Bismark & Akuamoah-Boateng, Samuel & Fosu, Prince, 2021. "Internet use and farm households food and nutrition security nexus: The case of rural Ghana," Technology in Society, Elsevier, vol. 65(C).

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