A PANEL REGRESSION ANALYSIS OF POVERTY INCIDENCE AMONG SOUTH ASIAN COUNTRIES
Keywords:
poverty incidence, regression analysis, human developmentAbstract
Economies reflected an industrial progression for human development, sustainable resources and better performance to have an impact in alleviating the poverty prevalence of the entire populace. Thus, the study had used the indexes of Human Development and Competitive Industrial Performance as predictors for poverty incidence across South Asian Countries. Specifically, it directed to generate a panel regression model on the poverty occurrence exhausting the factors as mentioned earlier. Based on the result, almost all of the countries in South Asia have consistently displayed low scores in both HDI and CIP index for more than a decade. The panel regression analysis implicates HDI and CIP can collectively influence poverty incidence. Further, the generated model forecasts an increasing poverty incidence rate for the region.
References
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Cremin, P., & Nakabugo, M. G. (2012). Education, development and poverty reduction: A literature critique. International Journal of Educational Development, 32(4), 499-506.
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Oyeshola, D. (2007). Development and Poverty: A Symbiotic Relationship and its Implication in Africa. African Journal of Traditional, Complementary, and Alternative Medicines, 4(4), 553–558.
Paul, R.K. (2014). Multicollinearity: Causes, Effects and Remedies. Last retrieved on June 10, 2019 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1. 498.1478&rep=rep1&type=pdf
Porter, K. H., & Dupree, A. (2001). Poverty Trends for Families Headed by Working Single Mothers, 1993-1999.
Rindermann, H., Sailer, M., & Thompson, J. (2009). The impact of smart fractions, cognitive ability of politicians and average competence of peoples on social development. Talent Development & Excellence, 1(1), 3-25.
Rippin, N. (2010). Poverty severity in a multidimensional framework: the issue of inequality between dimensions (No. 47). Courant Research Centre: Poverty, Equity and Growth-Discussion Papers.
Rodriguez-Oreggia, E., De La Fuente, A., De La Torre, R., & Moreno, H. A. (2013). Natural disasters, human development and poverty at the municipal level in Mexico. The Journal of Development Studies, 49(3), 442-455.
Santana, P. (2002). Poverty, social exclusion and health in Portugal. Social Science & Medicine, 55(1), 33-45.
Smith, M. (2001). Writing a successful paper. The Trey Research Monthly, 53, 149-150.
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Thorbecke, E. (2013). Multidimensional poverty: Conceptual and measurement issues. In The many dimensions of poverty (pp. 3-19). Palgrave Macmillan, London.
Torre, R., & Myrskylä, M. (2011). Income inequality and population health: a panel data analysis on 21 developed countries. Max Planck Institute for Demographic Research.
Wagstaff, A. (2002). Poverty and health sector inequalities. Bulletin of the world health organization, 80, 97-105.
Williams, R., Allison, P. D., & Moral-Benito, E. (2018). Linear dynamic panel-data estimation using maximum likelihood and structural equation modeling. The Stata Journal, 18(2), 293-326.
Young, I. M. (2013). Five faces of oppression. In The community development reader (pp. 346-355). Routledge.
Ali, I., & Pernia, E. M. (2003). Infrastructure and poverty reduction-what is the connection?.
Anderson, Charles & Johnson (2003). The impressive psychology paper. Chicago: Lucerne Publishing.
Ashley, C., & Mitchell, J. (2009). Tourism and poverty reduction: Pathways to prosperity. Routledge.
Awan, M. S., Malik, N., Sarwar, H., & Waqas, M. (2011). Impact of education on poverty reduction.
Bah, M. S. (2015). Real convergence in West African Economic and Monetary Union (WAEMU). Economics Letters, 135, 19-23.
Balkyte, A., & TvaronaviÄiene, M. (2010). Perception of competitiveness in the context of sustainable development: facets of “sustainable competitivenessâ€. Journal of business economics and management, 11(2), 341-365.
Baltag, A. (1995). Modal Characterizations for sets and Kripke structures. Unpublished manuscript.
Betti, G., D’Agostino, A., & Neri, L. (2002). Panel regression models for measuring multidimensional poverty dynamics. Statistical methods and applications, 11(3), 359-369.
Bhide, S., & Mehta, A. K. (2003, April). Chronic Poverty in Rural India, An Analysis using Panel Data: Issues and Findings. In Chronic Poverty Research Centre International Conference, Manchester, April.
Bibi, S. (2005). Measuring poverty in a multidimensional perspective: A review of literature.
Bojö, J., Green, K., Kishore, S., Pilapitiya, S., & Reddy, R. C. (2004). Environment in poverty reduction strategies and poverty reduction support credits. The World Bank Environment Department. Paper, (102), 41.
Byrne, D. (2005). Social exclusion. McGraw-Hill Education (UK).
Chen, X., Pei, Z., Chen, A. L., Wang, F., Shen, K., Zhou, Q., & Sun, L. (2015). Spatial distribution patterns and influencing factors of poverty-a case study on key country from national contiguous special poverty-stricken areas in China. Procedia Environmental Sciences, 26, 82-90.
Chesang, R. K. (2013). Drug abuse among the youth in Kenya. International journal of scientific & technology research, 2(6), 126-131.
Chetwynd, E., Chetwynd, F., & Spector, B. (2003). Corruption and poverty: A review of recent literature. Management Systems International, 600, 5-16.
Cremin, P., & Nakabugo, M. G. (2012). Education, development and poverty reduction: A literature critique. International Journal of Educational Development, 32(4), 499-506.
Daimon, T. (2001). The spatial dimension of welfare and poverty: Lessons from a regional targeting programme in indonesia. Asian Economic Journal, 15(4), 345-367.
De Vos, A., De Hauw, S., & Van der Heijden, B. I. (2011). Competency development and career success: The mediating role of employability. Journal of vocational behavior, 79(2), 438-447.
Diao, X., & Pratt, A. N. (2007). Growth options and poverty reduction in Ethiopia–An economy-wide model analysis. Food Policy, 32(2), 205-228.
Djankov, S., & Reynal-Querol, M. (2010). Poverty and civil war: Revisiting the evidence. The Review of Economics and Statistics, 92(4), 1035-1041.
Durrani, M. K. K., Usman, A., Malik, M. I., & Shafiq, A. (2011). Role of micro finance in reducing poverty: A look at social and economic factors. International Journal of Business and Social Science, 2(21).
Fan, S., & Zhang, X. (2008). Public expenditure, growth and poverty reduction in rural Uganda. African Development Review, 20(3), 466-496.
Freeman, P. K. (2000). Infrastructure, natural disasters, and poverty. Managing disaster risk in emerging economies, 55-61.
Gallardo, G. (2009). The Human Development Index as an Effort to Measure Well-Being in Honduras. The 3rd OECD (Organization for Economic Co-operation and Development) World Forum on “Statistics, Knowledge and Policyâ€. Charting Progress, Building Visions, Improving Life. Busan, Korea. October 27-30, 2009. Last retrieved on September 25, 2016 at goo.gl/O8I6ba.
Garau, M., Shah, K. K., Sharma, P., & Towse, A. (2015). Is the link between health and wealth considered in decision making? Results from a qualitative study. International journal of technology assessment in health care, 31(6), 449-456.
Ghosal, R. (2012). Growth, Poverty and Inequality Paradox in India: A Panel Data Approach. Retrieved on Jan, 25, 2013.
Gujarati, D. N. Sangeetha (2012), Basic Econometrics.
Hsiao, C. (2007). Panel data analysis—advantages and challenges. Test, 16(1), 1-22.
Itzigsohn, J. (2010). Developing poverty: The state, labor market deregulation, and the informal economy in Costa Rica and the Dominican Republic. Penn State Press.
Jahan, S. (2002). Measuring living standard and poverty: Human development index as an alternate measure. University of Massachusetts Political Economy Research Institute. URL: http://www. umass. edu/peri/pdfs/glw_jahan. pdf.
Jha, R. (2000). Growth, inequality and poverty in India: Spatial and temporal characteristics. Economic and Political Weekly, 921-928.
Justino, P. (2012). War and poverty. IDS Working Papers, 2012(391), 1-29.
Madan, S. (2012). Human development and poverty-a perspective across Indian States. STATISTIKA-STATISTICS AND ECONOMY JOURNAL, 49(4), 81-94.
McMillan, M. S., & Rodrik, D. (2011). Globalization, structural change and productivity growth (No. w17143). National Bureau of Economic Research.
Minot, N., & Baulch, B. (2005). Spatial patterns of poverty in Vietnam and their implications for policy. Food Policy, 30(5-6), 461-475.
O'Higgins, K. (1998). Review of literature and policy on the links between poverty and drug abuse. Combat Poverty Agency.
Ogun, T. P. (2010, August). Infrastructure and poverty reduction: Implications for urban development in Nigeria. In Urban Forum (Vol. 21, No. 3, pp. 249-266). Springer Netherlands.
Okwi, P. O., Ndeng'e, G., Kristjanson, P., Arunga, M., Notenbaert, A., Omolo, A., ... & Owuor, J. (2007). Spatial determinants of poverty in rural Kenya. Proceedings of the National Academy of Sciences, 104(43), 16769-16774.
Orfield, M. (2005). Land use and housing policies to reduce concentrated poverty and racial segregation. Fordham Urb. LJ, 33, 877.
Orr, R. (2002). Governing when chaos rules: enhancing governance and participation. Washington Quarterly, 25(4), 139-152.
Osborne, J.W. and Overbay, A. (2004). The Power of Outliers (and Why Researchers should always Check for them). Practical Assessment, Research & Evaluation. Volume 9. Last retrieved on December 21, 2017 from http://pareonline.net/getvn.asp?v=9&n=6
Oyeshola, D. (2007). Development and Poverty: A Symbiotic Relationship and its Implication in Africa. African Journal of Traditional, Complementary, and Alternative Medicines, 4(4), 553–558.
Paul, R.K. (2014). Multicollinearity: Causes, Effects and Remedies. Last retrieved on June 10, 2019 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1. 498.1478&rep=rep1&type=pdf
Porter, K. H., & Dupree, A. (2001). Poverty Trends for Families Headed by Working Single Mothers, 1993-1999.
Rindermann, H., Sailer, M., & Thompson, J. (2009). The impact of smart fractions, cognitive ability of politicians and average competence of peoples on social development. Talent Development & Excellence, 1(1), 3-25.
Rippin, N. (2010). Poverty severity in a multidimensional framework: the issue of inequality between dimensions (No. 47). Courant Research Centre: Poverty, Equity and Growth-Discussion Papers.
Rodriguez-Oreggia, E., De La Fuente, A., De La Torre, R., & Moreno, H. A. (2013). Natural disasters, human development and poverty at the municipal level in Mexico. The Journal of Development Studies, 49(3), 442-455.
Santana, P. (2002). Poverty, social exclusion and health in Portugal. Social Science & Medicine, 55(1), 33-45.
Smith, M. (2001). Writing a successful paper. The Trey Research Monthly, 53, 149-150.
Statistics Solutions. (2013a). Normality [WWW Document]. Last retrieved on June 10, 2019 from http://www.statisticssolutions.com/academic-solutions/resources/directory-of-statistical-analyses/normality/
Statistics Solutions. (2013b). Homoscedasticity [WWW Document]. Last retrieved on June 10, 2019 from http://www.statisticssolutions.com/homoscedasticity/.
Thorbecke, E. (2013). Multidimensional poverty: Conceptual and measurement issues. In The many dimensions of poverty (pp. 3-19). Palgrave Macmillan, London.
Torre, R., & Myrskylä, M. (2011). Income inequality and population health: a panel data analysis on 21 developed countries. Max Planck Institute for Demographic Research.
Wagstaff, A. (2002). Poverty and health sector inequalities. Bulletin of the world health organization, 80, 97-105.
Williams, R., Allison, P. D., & Moral-Benito, E. (2018). Linear dynamic panel-data estimation using maximum likelihood and structural equation modeling. The Stata Journal, 18(2), 293-326.
Young, I. M. (2013). Five faces of oppression. In The community development reader (pp. 346-355). Routledge.
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