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Mobile phones, off‐farm employment and household income in rural India

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  • Pallavi Rajkhowa
  • Matin Qaim

Abstract

Rural households in developing countries often depend on agriculture for their livelihoods. However, many also pursue off‐farm economic activities either to complement their farm income or because they lack access to agricultural land. Rural off‐farm employment is often informal and temporary. Searching for jobs can be associated with high transaction costs, which may be a constraint on some households’ participation in off‐farm employment. The increasing spread of mobile phones may help to reduce these transaction costs. Here, we test the hypothesis that mobile phone ownership increases rural households’ participation in off‐farm employment and—through this mechanism—also improves household income. We use nationally representative panel data from rural India and regression models with household fixed effects to control for confounding factors and unobserved heterogeneity. We find that mobile phone ownership is positively associated with the likelihood of participating in various types of off‐farm employment, including casual wage labour, salaried employment and non‐agricultural self‐employment. This association is larger in female‐headed than in male‐headed households. The estimates also show that mobile phone ownership is positively associated with household income, partly channelled through the off‐farm employment mechanism.

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  • Pallavi Rajkhowa & Matin Qaim, 2022. "Mobile phones, off‐farm employment and household income in rural India," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 789-805, September.
  • Handle: RePEc:bla:jageco:v:73:y:2022:i:3:p:789-805
    DOI: 10.1111/1477-9552.12480
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    1. Shimamoto, Daichi & Yamada, Hiroyuki & Gummert, Martin, 2015. "Mobile phones and market information: Evidence from rural Cambodia," Food Policy, Elsevier, vol. 57(C), pages 135-141.
    2. Tchamyou, Vanessa S. & Erreygers, Guido & Cassimon, Danny, 2019. "Inequality, ICT and financial access in Africa," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 169-184.
    3. Aker, Jenny C. & Ksoll, Christopher, 2016. "Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger," Food Policy, Elsevier, vol. 60(C), pages 44-51.
    4. Jenny C. Aker & Marcel Fafchamps, 2015. "Mobile Phone Coverage and Producer Markets: Evidence from West Africa," The World Bank Economic Review, World Bank, vol. 29(2), pages 262-292.
    5. Elbers, Chris & Lanjouw, Peter, 2001. "Intersectoral Transfer, Growth, and Inequality in Rural Ecuador," World Development, Elsevier, vol. 29(3), pages 481-496, March.
    6. Chrisendo, Daniel & Krishna, Vijesh V. & Siregar, Hermanto & Qaim, Matin, 2020. "Land-use change, nutrition, and gender roles in Indonesian farm households," Forest Policy and Economics, Elsevier, vol. 118(C).
    7. Sosina Bezu & Christopher Barrett, 2012. "Employment Dynamics in the Rural Nonfarm Sector in Ethiopia: Do the Poor Have Time on Their Side?," Journal of Development Studies, Taylor & Francis Journals, vol. 48(9), pages 1223-1240, September.
    8. Tadesse, Getaw & Bahiigwa, Godfrey, 2015. "Mobile Phones and Farmers’ Marketing Decisions in Ethiopia," World Development, Elsevier, vol. 68(C), pages 296-307.
    9. Diether W. Beuermann & Christopher McKelvey & Renos Vakis, 2012. "Mobile Phones and Economic Development in Rural Peru," Journal of Development Studies, Taylor & Francis Journals, vol. 48(11), pages 1617-1628, November.
    10. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.
    11. Sekabira, Haruna & Qaim, Matin, 2017. "Can Mobile Phones Improve Gender Equality and Nutrition? Panel Data Evidence from Farm Households in Uganda," GlobalFood Discussion Papers 256215, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    12. Barrett, C. B. & Reardon, T. & Webb, P., 2001. "Nonfarm income diversification and household livelihood strategies in rural Africa: concepts, dynamics, and policy implications," Food Policy, Elsevier, vol. 26(4), pages 315-331, August.
    13. William Greene, 2004. "The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 98-119, June.
    14. Jenny C. Aker & Isaac M. Mbiti, 2010. "Mobile Phones and Economic Development in Africa," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 207-232, Summer.
    15. Muto, Megumi & Yamano, Takashi, 2009. "The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda," World Development, Elsevier, vol. 37(12), pages 1887-1896, December.
    16. Kalkuhl, Matthias & von Braun, Joachim & Torero, Maximo, 2016. "Food Price Volatility and Its Implications for Food Security and Policy," MPRA Paper 72164, University Library of Munich, Germany.
    17. Imai, Katsushi S. & Gaiha, Raghav & Thapa, Ganesh, 2015. "Does non-farm sector employment reduce rural poverty and vulnerability? Evidence from Vietnam and India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 47-61.
    18. Torero, Maximo & von Braun, Joachim (ed.), 2006. "Information and communication technologies for development and poverty reduction: The potential of telecommunications," IFPRI books, International Food Policy Research Institute (IFPRI), number 0-8018-8041-6.
    19. Peter Lanjouw & Rinku Murgai, 2009. "Poverty decline, agricultural wages, and nonfarm employment in rural India: 1983–2004," Agricultural Economics, International Association of Agricultural Economists, vol. 40(2), pages 243-263, March.
    20. Mulubrhan Amare & Bekele Shiferaw, 2017. "Nonfarm employment, agricultural intensification, and productivity change: empirical findings from Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 48(S1), pages 59-72, November.
    21. Lanjouw, Peter, 2001. "Nonfarm Employment and Poverty in Rural El Salvador," World Development, Elsevier, vol. 29(3), pages 529-547, March.
    22. Bou Dib, Jonida & Krishna, Vijesh V. & Alamsyah, Zulkifli & Qaim, Matin, 2018. "Land-use change and livelihoods of non-farm households: The role of income from employment in oil palm and rubber in rural Indonesia," Land Use Policy, Elsevier, vol. 76(C), pages 828-838.
    23. Matthias Kalkuhl & Joachim von Braun & Maximo Torero (ed.), 2016. "Food Price Volatility and Its Implications for Food Security and Policy," Springer Books, Springer, number 978-3-319-28201-5, December.
    24. Ogutu, Sylvester Ochieng & Okello, Julius Juma & Otieno, David Jakinda, 2014. "Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity: The Case of Kenya," World Development, Elsevier, vol. 64(C), pages 311-321.
    25. Martin C. Parlasca & Oliver Mußhoff & Matin Qaim, 2020. "Can mobile phones improve nutrition among pastoral communities? Panel data evidence from Northern Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 475-488, May.
    26. Lucia Dalla Pellegrina & Serena Frazzoni & Zeno Rotondi & Andrea Vezzulli, 2017. "Does ICT adoption improve access to credit for small enterprises?," Small Business Economics, Springer, vol. 48(3), pages 657-679, March.
    27. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 879-924.
    28. Lashitew, Addisu A. & van Tulder, Rob & Liasse, Yann, 2019. "Mobile phones for financial inclusion: What explains the diffusion of mobile money innovations?," Research Policy, Elsevier, vol. 48(5), pages 1201-1215.
    29. Eduardo Nakasone & Maximo Torero & Bart Minten, 2014. "The Power of Information: The ICT Revolution in Agricultural Development," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 533-550, October.
    30. Alwin D'Souza & Ashok K. Mishra & Stefan Hirsch, 2020. "Enhancing food security through diet quality: The role of nonfarm work in rural India," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 95-110, January.
    31. Thomas Reardon & J. Edward Taylor & Kostas Stamoulis & Peter Lanjouw & Arsenio Balisacan, 2000. "Effects of Non‐Farm Employment on Rural Income Inequality in Developing Countries: An Investment Perspective," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 266-288, May.
    32. 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.
    33. Babatunde, Raphael O. & Qaim, Matin, 2010. "Impact of Off-farm Income on Food Security and Nutrition in Nigeria," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 97332, African Association of Agricultural Economists (AAAE).
    34. Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
    35. Xiaolan Fu & Shaheen Akter, 2016. "The Impact of Mobile Phone Technology on Agricultural Extension Services Delivery: Evidence from India," Journal of Development Studies, Taylor & Francis Journals, vol. 52(11), pages 1561-1576, November.
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    5. Yi Cai & Wene Qi & Famin Yi, 2023. "Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 131-147, January.

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