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Informal sector, income inequality and economic development

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  • Bhattacharya, Prabir C.

Abstract

This paper addresses - with the help of numerical simulations - some of the issues relating to income distribution in the context of development of an economy with an informal sector and migration of both low- and high-skilled workers from the rural to the urban area. A major aim has been to see under what conditions we do or do not get an inverted U-shaped curve of income distribution. The paper finds that the tendency always is for the Gini coefficient to rise and then decline. However, once it starts declining, it need not continuously decline; it may rise, then decline, then rise again and indeed rise above the previous peak before starting to decline again and may well end at the end of the simulation at a higher value than at the start. Any case for the redistribution of income is seen to be much stronger at the later stages of development that at earlier stages, even though at later stages, Gini coefficient may be lower than at earlier stages. The policy implications of the findings are considered.

Suggested Citation

  • Bhattacharya, Prabir C., 2011. "Informal sector, income inequality and economic development," Economic Modelling, Elsevier, vol. 28(3), pages 820-830, May.
  • Handle: RePEc:eee:ecmode:v:28:y:2011:i:3:p:820-830
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    2. Prabir C. Bhattacharya, 2015. "A Model of Optimal Development: Further Results," Heriot-Watt University Economics Discussion Papers 1504a, Department of Economics, School of Management and Languages, Heriot Watt University.
    3. Mohammad Reza Alizadeh Emamzadeh, 2020. "Analysis of economic convergence of Islamic justice in selected Islamic countries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-10, December.
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    5. Alvarado, Rafael & Tillaguango, Brayan & López-Sánchez, Michelle & Ponce, Pablo & Işık, Cem, 2021. "Heterogeneous impact of natural resources on income inequality: The role of the shadow economy and human capital index," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 690-704.
    6. Chambers, Dustin & Dhongde, Shatakshee, 2016. "Convergence in income distributions: Evidence from a panel of countries," Economic Modelling, Elsevier, vol. 59(C), pages 262-270.
    7. Tingting Li & Hualou Long & Shuangshuang Tu & Yanfei Wang, 2015. "Analysis of Income Inequality Based on Income Mobility for Poverty Alleviation in Rural China," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    8. Andrea Fracasso & Giuseppe Vittucci Marzetti & Diego Coletto, 2018. "Informal economy and extractive institutions," Review of Economics and Institutions, Università di Perugia, vol. 9(1).
    9. Sultana, Nahid & Rahman, Mohammad Mafizur & Murad, S.M. Woahid, 2024. "Asymmetric role of the informal sector on economic growth: Empirical investigation on a developing country," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 96-107.
    10. Asgari, Heshmatolah & Moridian, Ali, 2023. "Investigating the Role of Human Capital and Shadow Economy in the Impact of Natural Resource Rent on Income Inequality with Regime Change (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه), Institute for Management and Planning studies, vol. 28(4), pages 75-110, December.
    11. Ceyhun Elgin & Ferda Erturk, 2019. "Informal economies around the world: measures, determinants and consequences," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 221-237, June.
    12. Sourav Batabyal & Abdur Chowdhury, 2015. "Curbing corruption, financial development and income inequality," Progress in Development Studies, , vol. 15(1), pages 49-72, January.

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