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Technologies follow technologies and occasionally social groups

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  • Michael Huebler
  • Dorothee Buehler

Abstract

An innovative model describing the convergence of technology use at the micro level is introduced. ICT (information and communication technology) ownership, measured as the number of smartphones within a household, depends upon socioeconomic character- istics, such as income, education, technologies and occupation. ICT ownership and the socioeconomic characteristics are specified in relative terms between household pairs. Indicators for jointly belonging to a social group define a new explanatory variable type. Applying this model to survey and geographic data on rural households in Thailand and Vietnam, Heckman-type regressions show that better education and existing technologies unequivocally enhance convergence of ICT ownership among households, whereas the effect of social groups depends on the specific group. Self-employment or employment outside agriculture enhance convergence, whereas farming or employment in agriculture lead to divergence. The results advice policymakers to support the spread of ICT that provides access to valuable information and creates income-generating opportunities.

Suggested Citation

  • Michael Huebler & Dorothee Buehler, 2023. "Technologies follow technologies and occasionally social groups," TVSEP Working Papers wp-036, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    • Handle: RePEc:tvs:wpaper:wp-036
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    References listed on IDEAS

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    1. Katharina Grabrucker & Michael Grimm, 2021. "Is There a Rainbow after the Rain? How Do Agricultural Shocks Affect Non‐Farm Enterprises? Evidence from Thailand," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1612-1636, October.
    2. Suri, Tavneet & Bharadwaj, Prashant & Jack, William, 2021. "Fintech and household resilience to shocks: Evidence from digital loans in Kenya," Journal of Development Economics, Elsevier, vol. 153(C).
    3. Juliane Zenker & Andreas Wagener & Sebastian Vollmer, 2018. "Better Knowledge Need Not Affect Behavior: A Randomized Evaluation of the Demand for Lottery Tickets in Rural Thailand," The World Bank Economic Review, World Bank, vol. 32(3), pages 570-583.
    4. Andreas Wagener & Juliane Zenker, 2021. "Decoupled but Not Neutral: The Effects of Counter‐Cyclical Cash Transfers on Investment and Incomes in Rural Thailand†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1637-1660, October.
    5. Hübler, Michael & Hartje, Rebecca, 2016. "Are smartphones smart for economic development?," Economics Letters, Elsevier, vol. 141(C), pages 130-133.
    6. 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.
    7. Michael Hübler & Alexander Glas, 2014. "The Energy-Bias of North–South Technology Spillovers: A Global, Bilateral, Bisectoral Trade Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 59-89, May.
    8. Schleife, Katrin, 2010. "What really matters: Regional versus individual determinants of the digital divide in Germany," Research Policy, Elsevier, vol. 39(1), pages 173-185, February.
    9. 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.
    10. Arslan, Aslihan & Belotti, Federico & Lipper, Leslie, 2017. "Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania," Food Policy, Elsevier, vol. 69(C), pages 68-81.
    11. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    12. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle.
    13. Hübler, Michael, 2016. "Does Migration Support Technology Diffusion in Developing Countries?," World Development, Elsevier, vol. 83(C), pages 148-162.
    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. André Gröger & Yanos Zylberberg, 2016. "Internal Labor Migration as a Shock Coping Strategy: Evidence from a Typhoon," American Economic Journal: Applied Economics, American Economic Association, vol. 8(2), pages 123-153, April.
    16. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
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    More about this item

    Keywords

    ICT; Smartphones; Technology diffusion; Rural development; Social networks;
    All these keywords.

    JEL classification:

    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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