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TRILEMMA ASSOCIATION OF EDUCATION, INCOME AND POVERTY ALLEVIATION: MANAGERIAL IMPLICATIONS FOR INCLUSIVE ECONOMIC GROWTH

Zhen LiuSchool of Business, Nanjing Normal University, No. 1, Wenyuan Road, Nanjing 210023, P. R. ChinaMohammad Maruf HasanSchool of Economics, Sichuan University, Chengdu, Sichuan, 610065, P. R. ChinaXuan LiSchool of Economics and Management, Northeast Normal University, 5268 Renmin Street, Changchun 130024, P. R. ChinaHayot Berk SaydalievInstitute of Forecasting and Macroeconomic Research, Tashkent, Uzbekistan, Mathematical Methods in Economics, Tashkent State University of Economics, Tashkent 100003, UzbekistanJing LanCollege of Public Administration, Nanjing Agricultural University, No. 1, Weigang, Nanjing 210095, P. R. ChinaWasim IqbalDepartment of Management, Science, College of Management Shenzhen University, P. R. China
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Аннотация

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.

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