Factors Affecting High Unemployment in India

Author(s)

Najla Shafighi , Digvijay Dilip Bhujbal ,

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Volume 10 - August 2021 (08)

Abstract

The goal of this research is to learn more about India's unemployment condition and how the country's GDP and inflation rate influence unemployment. We used data from the years 2000 to 2019 in our research. In this research, regression analysis is used to determine the relationship between India's unemployment, GDP, and inflation rate. The technique of finding the connections between two or more variables is known as regression analysis. Unemployment is a dependent variable and GDP, and rate of inflation are two independent variables. The findings of the final study are presented as a linear regression analysis. We can readily determine how India's GDP and inflation rate influence unemployment in India using linear regression analysis. Unemployment is greatly influenced by GDP. India's unemployment rate falls as the country's GDP rises. While India's inflation rate has a no significant impact on the country's unemployment rate.

Keywords

unemployment, GDP, Inflation

References

          i            bank, w. (2019). World bank. Retrieved from https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?end=2019&start=1960&view=chart

         ii            bank, w. (2021). macrotrends. Retrieved from India Unemployment Rate 1991-2021. www.macrotrends.net. Retrieved 2021-06-27.

      iii            Chahal, M. (2018). UNEMPLOYMENT SCENARIO IN INDIA. International Journal in Management and Social Science, 06(11), 135-139.

       iv            Chand Khem, T. R. (2017). Economic Growth and Unemployment Rate: An Empirical Study of Indian Economy. Journal of Indian Economy, 4(2), 130-137.

         v            Dr. Mahesh kumar Kurmi, D. B. (June 2021, 06 25). IN-DEPTH ASSESSMENT OF THE IMPACT OF COVID-19 ON INDIAN ECONOMY. EPRA International Journal ofEconomic and Business Review-Peer Reviewed Journa, 9(6), 43-53.

       vi            M. Rakna, N. M. (2017). CAUSES AND EFFECTS OF UNEMPLOYMENT IN INDIA. Indo – Asian Journal of Multidisciplinary Research (IAJMR), 3(4), 1168-1171.

     vii            Malayaranjan Sahoo, J. S. (2019). The relationship between unemployment and some macroeconomic variables: Empirical evidence from India. Theoretical & Applied Economics, 26(1), 115-128.

   viii            Mazher, U., Gharleghi, B., & Fah, B. C. Y. (2015). A study on the factors affecting total quality management in the Saudi Arabian construction industry. International Journal of Business and Social Research, 5(3), 30-40.

       ix            Mehra, G. (2018, January 3). Unemployment: Stumbling Block to Economic Growth. nternational Journal of Research in Humanities, Arts and Literature, 6(1), 71-78.

         x            Nalla Bala Kalyan Kumar, V. J. (2012, September 1). Employment and unemployment in India. Bookman International Journal of Accounts, Economics & Business Management, 1(2319-426).

       xi            Pravin, S. (2013). Combating youth empolyment in India. Friedrich-Ebert-Stiftung.

     xii            Venkatanarayana, M. a. (2012). Youth employment and unemployment in India. IGIDR publications.

   xiii            Xinhe, X. (2021). Unemployment, Inflation and Impact of GDP in India. International Conference on Financial Innovation and Economic Development, 166, pp.641-647.

   xiv            Wadood, S., Gharleghi, B., & Samadi, B. (2016). Influence of change in management in technological enterprises. Procedia Economics and Finance, 37, 129-136

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