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Urbanization As An Indicator Of Development Of India: An Introspective Study Through Gini Concentration

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  • Ram Krishna Mandal

Abstract

Introduction: Development and urbanisation are closely related, there isn't a clear-cut relationship between the two. The process of urbanization can be measured in terms of many demographic dimensions. Objective: The paper aims to calculate the Gini Concentration Ratio (GCR) of urban population i.e., Co-efficient of urban concentration for the urban towns in India for 2001 and 2011 censuses to examine whether urban concentration increases or not leading to urbanization. Method: This study is an introspective type of research based on secondary data gathered from books, articles, websites, web-based journals, Census Reports, and government offices. Result and Discussion: Gini-Concentration Ratio is used to calculate for 2001 and 2011 censuses and its different values are interpreted. Findings: The value of Gini concentration ratio of 2011 census is greater than 2001 census indicating that the concentration of urban population is increasing thereby development of India. Conclusion: An important way to reduce the differences in the rate of urbanisation between rural and urban areas is seemed to prioritise for socio-economic development of the country.

Suggested Citation

  • Ram Krishna Mandal, 2024. "Urbanization As An Indicator Of Development Of India: An Introspective Study Through Gini Concentration," Journal of Global Economy, Research Centre for Social Sciences,Mumbai, India, vol. 20(1), pages 3-12, March.
    • Handle: RePEc:jge:journl:2011
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    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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