Li, Shiyuan and Li, Yumin (2021): The Impact of Mobile Phone Adoption on Income Inequality.
Preview |
PDF
MPRA_paper_110969.pdf Download (523kB) | Preview |
Abstract
Income inequality could lead to weaker economic performance, and there is no consensus on how innovations could affect income inequality. In this paper, we use cross-country panel data to examine the relationship between telecommunications innovation, income inequality, and unemployment. We find different correlations between different levels of technological innovation and income inequality. Our study shows that the spread of 3G communication technologies has little impact on income inequality, while the spread of 4G communication technologies has significantly increased national income inequality. Moreover, the empirical results are robust to various measures of inequality. Finally, 3G communication technologies create far fewer new jobs than jobs displaced by automation, thus increasing unemployment levels. 4G communication technologies create more new jobs, thus reducing unemployment and increasing inequality.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Impact of Mobile Phone Adoption on Income Inequality |
Language: | English |
Keywords: | Telecommunication Innovation; Inequality; Unemployment |
Subjects: | D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement L - Industrial Organization > L9 - Industry Studies: Transportation and Utilities > L96 - Telecommunications Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q55 - Technological Innovation |
Item ID: | 110969 |
Depositing User: | Shiyuan Li |
Date Deposited: | 08 Dec 2021 06:30 |
Last Modified: | 08 Dec 2021 06:30 |
References: | Acemoglu, D. (2002). Technical change, inequality, and the labour market. Journal of economic literature, 40(1), 7-72. Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labour markets. Journal of Political Economy, 128(6), 2188-2244. Aghion, P., Akcigit, U., Bergeaud, A., Blundell, R., & Hémous, D. (2019). Innovation and top income inequality. The Review of Economic Studies, 86(1), 1-45. Aghion, P., Howitt, P., & Violante, G. L. (2002). General purpose technology and wage inequality. Journal of Economic Growth, 7(4), 315-345. Alstadsæter, A., Johannesen, N., & Zucman, G. (2019). Tax evasion and inequality. American Economic Review, 109(6), 2073-2103. Arvin, B. M., & Pradhan, R. P. (2014). Broadband penetration and economic growth nexus: evidence from cross-country panel data. Applied Economics, 46(35), 4360-4369. Asongu, S. (2015). The impact of mobile phone penetration on African inequality. International Journal of Social Economics. Autor, D. (2010). The polarization of job opportunities in the US labour market: Implications for employment and earnings. Center for American Progress and The Hamilton Project, 6, 11-19. Autor, D. (2019). Work of the Past, Work of the Future (Vol. 109). Cambridge, MA: National Bureau of Economic Research. Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly journal of economics, 118(4), 1279-1333. Autor, D., Mindell, D. A., & Reynolds, E. B. (2019). The work of the future: Shaping technology and institutions. Massachusetts Institute of Technology: Cambridge, MA, USA, 58. Bakija, J., Cole, A., & Heim, B. T. (2012). Jobs and income growth of top earners and the causes of changing income inequality: Evidence from US tax return data. Beaudry, P., Doms, M., & Lewis, E. (2010). Should the personal computer be considered a technological revolution? Evidence from US metropolitan areas. Journal of Political Economy, 118(5), 988-1036. Bell, B., & Van Reenen, J. (2014). Bankers and their bonuses. The Economic Journal, 124(574), F1-F21. Berger, B., & Wolff, G. B. (2017). The global decline in the labour income share: is capital the answer to Germany’s current account surplus? (No. 2017/12). Bruegel Policy Contribution. Bhuller, M., Kostol, A., & Vigtel, T. (2019). How broadband internet affects labour market matching. Available at SSRN 3507360. Comin, D., & Hobijn, B. (2004). Cross-country technology adoption: making the theories face the facts. Journal of monetary Economics, 51(1), 39-83. Czernich, N., Falck, O., Kretschmer, T., & Woessmann, L. (2011). Broadband infrastructure and economic growth. The Economic Journal, 121(552), 505-532. De Maio, F. G. (2007). Income inequality measures. Journal of Epidemiology & Community Health, 61(10), 849-852. Deyshappriya, N. P. (2017). Impact of macroeconomic factors on income inequality and income distribution in Asian countries. Glaeser, E. L. (1999). Learning in cities. Journal of urban Economics, 46(2), 254-277. Graetz, G., & Michaels, G. (2018). Robots at work. Review of Economics and Statistics, 100(5), 753-768. Hémous, D., & Olsen, M. (2014). The rise of the machines: Automation, horizontal innovation and income inequality. Hjort, J., & Poulsen, J. (2019). The arrival of fast internet and employment in Africa. American Economic Review, 109(3), 1032-79. Holt, L., & Jamison, M. (2009). Broadband and contributions to economic growth: Lessons from the US experience. Telecommunications Policy, 33(10-11), 575-581. Howard, P. N., & Mazaheri, N. (2009). Telecommunications reform, Internet use and mobile phone adoption in the developing world. World Development, 37(7), 1159-1169. Jiménez, M., Matus, J. A., & Martínez, M. A. (2014). Economic growth as a function of human capital, internet and work. Applied Economics, 46(26), 3202-3210. Jayakar, K., & Park, E. A. (2013). Broadband availability and employment: An analysis of county-level data from the National Broadband Map. Journal of Information Policy, 3, 181-200. Jones, C. I., & Kim, J. (2018). A Schumpeterian model of top income inequality. Journal of Political Economy, 126(5), 1785-1826. Kaplan, S. N., & Rauh, J. (2010). Wall Street and Main Street: What contributes to the rise in the highest incomes?. The Review of Financial Studies, 23(3), 1004-1050. Kemeny, T., & Osman, T. (2018). The wider impacts of high-technology employment: Evidence from US cities. Research Policy, 47(9), 1729-1740. Kolko, J. (2012). Broadband and local growth. Journal of Urban Economics, 71(1), 100-113. Koutroumpis, P. (2009). The economic impact of broadband on growth: A simultaneous approach. Telecommunications policy, 33(9), 471-485. Leduc, S., & Liu, Z. (2019). Are Workers Losing to Robots?. FRBSF Economic Letter, 2019, 25. Lee, N., & Rodríguez-Pose, A. (2013). Innovation and spatial inequality in Europe and USA. Journal of economic geography, 13(1), 1-22. Lee, N., & Rodríguez-Pose, A. (2016). Is there trickle-down from tech? Poverty, employment, and the high-technology multiplier in US cities. Annals of the American Association of Geographers, 106(5), 1114-1134. Liu, B., Wei, Y. D., & Simon, C. A. (2017). Social capital, race, and income inequality in the United States. Sustainability, 9(2), 248. Mack, E., & Faggian, A. (2013). Productivity and broadband: The human factor. International Regional Science Review, 36(3), 392-423. Mazzolari, F., & Ragusa, G. (2013). Spillovers from high-skill consumption to low-skill labour markets. Review of Economics and Statistics, 95(1), 74-86. Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., ... & Sanghvi, S. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. McKinsey Global Institute, 150. Martin, P. (1999). Public policies, regional inequalities and growth. Journal of public economics, 73(1), 85-105. Mueller, C.E. Accurate forecast of countries’ research output by macro-level indicators. Scientometrics 109, 1307–1328 (2016). Najarzadeh, R., Rahimzadeh, F., & Reed, M. (2014). Does the Internet increase labour productivity? Evidence from a cross-country dynamic panel. Journal of Policy Modeling, 36(6), 986-993. Philippon, T., & Reshef, A. (2012). Wages and human capital in the US finance industry: 1909–2006. The Quarterly Journal of Economics, 127(4), 1551-1609. Piketty, T., & Saez, E. (2003). Income inequality in the United States, 1913–1998. The Quarterly journal of economics, 118(1), 1-41. Prabhu, J. (2017). Frugal innovation: doing more with less for more. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2095), 20160372. Rothschild, C., & Scheuer, F. (2016). Optimal taxation with rent-seeking. The Review of Economic Studies, 83(3), 1225-1262. Tyson, L., & Spence, M. (2018). 8. Exploring the Effects of Technology on Income and Wealth Inequality. In After Piketty (pp. 170-208). Harvard University Press. UNCTAD, 2021. Technology and Innovation Report 2021. https://unctad.org/system/files/official-document/tir2020_en.pdf Wheeler, C. H. (2004). On the distributional aspects of urban growth. Journal of Urban Economics, 55(2), 371-397. Winkler, H. (2017). How does the internet affect migration decisions?. Applied Economics Letters, 24(16), 1194-1198. Xu, X., & Reed, M. (2021). The impact of internet access on research output-a cross-country study. Information Economics and Policy, 100914. Yang, T., & Liu, W. (2018). Does air pollution affect public health and health inequality? Empirical evidence from China. Journal of Cleaner Production, 203, 43-52. Zhao, X. Y. (2020, October 08). Short-video apps offer new chances and perspectives for rural residents. China Daily. Retrieved from https://www.chinadailyhk.com/article/145592 Zhou, Y., & Tyers, R. (2019). Automation and inequality in China. China Economic Review, 58, 101202. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/110969 |