TRILEMMA ASSOCIATION OF EDUCATION, INCOME AND POVERTY ALLEVIATION: MANAGERIAL IMPLICATIONS FOR INCLUSIVE ECONOMIC GROWTH
Zhen Liu (),
Mohammad Maruf Hasan,
Li Xuan (),
Hayot Berk Saydaliev (),
Jing Lan and
Wasim Iqbal ()
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Zhen Liu: School of Business, Nanjing Normal University, No. 1, Wenyuan Road, Nanjing 210023, P. R. China
Mohammad Maruf Hasan: School of International Studies, Sichuan University, Chengdu, Sichuan, 610065, P. R. China3School of Economics, Sichuan University, Chengdu, Sichuan, 610065, P. R. China
Li Xuan: School of Economics and Management, Northeast Normal University, 5268 Renmin Street, Changchun 130024, P. R. China
Hayot Berk Saydaliev: Institute of Forecasting and Macroeconomic Research, Tashkent, Uzbekistan, Mathematical Methods in Economics, Tashkent State University of Economics, Tashkent 100003, Uzbekistan
Wasim Iqbal: Department of Management, Science, College of Management Shenzhen University, P. R. China
The Singapore Economic Review (SER), 2023, vol. 68, issue 04, 1469-1492
Abstract:
This study focused on the trilemma association of education, income and poverty alleviation: managerial implications for inclusive economic growth in developing countries in Asia to establish the proportion of the poor in the population and further identify its determinants. This research utilized secondary data from 1990 to 2016 by using econometric estimation. The results show that education decreases poverty when evaluated through the poverty gap and poverty headcount ratio and employment and increasing rate of economic development in the form of GDP to reducing poverty. GDP the Gini coefficient show the same signs while the magnitudes of the coefficients. Consequently, improvement in an independent variable will decrease poverty while the results have various levels of contributions through static and dynamic panel data methods, that education can reduce poverty. Results indicate that the level of poverty stood at 62.2%. The level of education, poverty headcount ratio, poverty gap and secondary school enrolment were significant in determining a household’s poverty status. However, land ownership and household head’s occupation were not statistically significant in explaining the probability of a household’s poverty status. From the results, this study recommends that all stakeholders work towards reducing poverty in the study to enhance education and family planning.
Keywords: Poverty alleviation; education; economic growth; econometric estimation; South East Asia (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:serxxx:v:68:y:2023:i:04:n:s0217590822440052
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DOI: 10.1142/S0217590822440052
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