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Policy Reform, Economic Growth and the Digital Divide

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  • Susmita Dasgupta
  • Somik Lall
  • David Wheeler

Abstract

Rapid growth of internet use in high-income economies has raised the spectre of a “digital divide” that will marginalize developing countries because they can neither afford internet access nor use it effectively when it is available. Using a new cross-country data set, this paper investigates two proximate determinants of the digital divide: internet intensity (internet subscriptions per telephone mainline); and access to telecom services. Surprisingly, no gap in internet intensity was found. When differences in urbanization and competition policy are controlled for, low-income countries have intensities as high as those of industrial countries. While income does not seem to matter in this context, competition policy matters a great deal. Low-income countries with high World Bank ratings for competition policy have significantly higher internet intensities. The paper's finding on internet intensity implies that the digital divide is not really new, but reflects a persistent gap in the availability of mainline telephone services. After identifying mobile telephones as a promising new platform for internet access, the paper uses panel data to study the determinants of mobile telephone diffusion during the past decade. The results show that income explains part of the diffusion lag for the poor countries, but they also highlight the critical role of policy. Developing countries whose policies promote economic growth and private sector competition have experienced much more rapid diffusion of mobile phone service. Simulations based on the econometric results suggest that feasible reforms could sharply narrow the digital divide during the next decade for many countries in Africa, Asia and Latin America.

Suggested Citation

  • Susmita Dasgupta & Somik Lall & David Wheeler, 2005. "Policy Reform, Economic Growth and the Digital Divide," Oxford Development Studies, Taylor & Francis Journals, vol. 33(2), pages 229-243.
  • Handle: RePEc:taf:oxdevs:v:33:y:2005:i:2:p:229-243
    DOI: 10.1080/13600810500137889
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    References listed on IDEAS

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    1. Dasgupta, Susmita & Lall, Somik & Wheeler, David, 2001. "Policy reform, economic growth, and the digital divide - an econometric analysis," Policy Research Working Paper Series 2567, The World Bank.
    2. Daniel Kaufmann & Aart Kraay & Massimo Mastruzzi, 2003. "Governance Matters III: Governance Indicators for 1996-2002," Macroeconomics 0308006, University Library of Munich, Germany.
    3. Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2003. "Government matters III : governance indicators for 1996-2002," Policy Research Working Paper Series 3106, The World Bank.
    4. Torero, Maximo, 2000. "The Access and Welfare Impacts of Telecommunications Technology in Peru," Discussion Papers 281235, University of Bonn, Center for Development Research (ZEF).
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    Cited by:

    1. Ewa, Lechman, 2010. "Digital divide – inequalities in level of implementation of new information and telecommunication technologies. Cross country study," MPRA Paper 37483, University Library of Munich, Germany.
    2. Antonio R. Andrés & Voxi Amavilah & Simplice A. Asongu, 2016. "Linkages between Formal Institutions, ICT Adoption and Inclusive Human Development in Sub Saharan Africa," Research Africa Network Working Papers 16/026, Research Africa Network (RAN).
    3. Hasbi, Maude & Dubus, Antoine, 2019. "Determinants of Mobile Broadband Use in Developing Economies: Evidence from Sub-Saharan Africa," 30th European Regional ITS Conference, Helsinki 2019 205180, International Telecommunications Society (ITS).
    4. Rath, Badri Narayan, 2016. "Does the digital divide across countries lead to convergence? New international evidence," Economic Modelling, Elsevier, vol. 58(C), pages 75-82.
    5. Clarke, George R.G., 2008. "Has the internet increased exports for firms from low and middle-income countries," Information Economics and Policy, Elsevier, vol. 20(1), pages 16-37, March.
    6. Mona Badran, 2014. "Young people and the digital divide in Egypt: an empirical study," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 223-250, December.
    7. Krüger, Jens J. & Rhiel, Mathias, 2016. "Determinants of ICT infrastructure: A cross-country statistical analysis," Darmstadt Discussion Papers in Economics 228, Darmstadt University of Technology, Department of Law and Economics.
    8. Myovella, Godwin & Karacuka, Mehmet & Haucap, Justus, 2021. "Determinants of digitalization and digital divide in Sub-Saharan African economies: A spatial Durbin analysis," Telecommunications Policy, Elsevier, vol. 45(10).
    9. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    10. Ewa Lechman & Harleen Kaur, 2016. "Social Development And Ict Adoption. Developing World Perspective," GUT FME Working Paper Series A 33, Faculty of Management and Economics, Gdansk University of Technology.
    11. Rath, Badri Narayan & Panda, Bibhudutta & Akram, Vaseem, 2023. "Convergence and determinants of ICT development in case of emerging market economies," Telecommunications Policy, Elsevier, vol. 47(2).
    12. Menzie D. Chinn & Robert W. Fairlie, 2010. "ICT Use in the Developing World: An Analysis of Differences in Computer and Internet Penetration," Review of International Economics, Wiley Blackwell, vol. 18(1), pages 153-167, February.
    13. Li, Raymond & Shiu, Alice, 2012. "Internet diffusion in China: A dynamic panel data analysis," Telecommunications Policy, Elsevier, vol. 36(10), pages 872-887.
    14. Hübler, Michael, 2015. "Labor mobility and technology diffusion: A new concept and its application to rural Southeast Asia," Journal of Asian Economics, Elsevier, vol. 39(C), pages 137-151.
    15. Zhou, Fengxiu & Wen, Huwei & Lee, Chien-Chiang, 2022. "Broadband infrastructure and export growth," Telecommunications Policy, Elsevier, vol. 46(5).
    16. Dasgupta,Susmita & Wheeler,David R., 2020. "Modeling and Predicting the Spread of Covid-19: Comparative Results for the United States, thePhilippines, and South Africa," Policy Research Working Paper Series 9419, The World Bank.
    17. Pick, James B. & Nishida, Tetsushi, 2015. "Digital divides in the world and its regions: A spatial and multivariate analysis of technological utilization," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 1-17.
    18. Margarita Billon & Fernando Lera-Lopez & Rocío Marco, 2010. "Differences in digitalization levels: a multivariate analysis studying the global digital divide," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(1), pages 39-73, April.
    19. Margarita Billon & Fernando Lera-Lopez & Rocio Marco, 2016. "ICT use by households and firms in the EU: links and determinants from a multivariate perspective," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(4), pages 629-654, November.
    20. Neokosmidis, Ioannis & Avaritsiotis, Nikolaos & Ventoura, Zoe & Varoutas, Dimitris, 2015. "Assessment of the gap and (non-)Internet users evolution based on population biology dynamics," Telecommunications Policy, Elsevier, vol. 39(1), pages 14-37.
    21. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Rhee, Hongjai & Lee, Euehun & Lee, Hongkyu, 2012. "Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model," Telecommunications Policy, Elsevier, vol. 36(10), pages 858-871.

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