Journal of Rural Development

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Bodo Tribes are Multidimensionally Poor: Evidence from Udalguri District, Assam, India


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1 Associate Professor, Department of Economics, Vidyasagar University, Midnapore, West Bengal, India
     

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The aim of this paper is to identify the income poverty, income inequality and multidimensional poverty status of Bodo people residing in Udalguri district of Bodoland, Assam. The study is entirely conducted on the basis of the novel data collected through multistage stratified purposive random sampling technique from 327 Bodo households. Foster, Greer and Thorbecke (FGT) weighted poverty index, the Gini coefficient, Atkinson index and Multiple Correspondence Analyses are used to measure the income poverty, income inequality and multidimensional poverty, respectively. The results suggest that in terms of both FGT and MPI indicators, Bodos are self-sufficient, far from saying surplus, and there is lower inequality in the distribution of income. The improvement in the MPI status can be achieved by giving more emphasis on education, proper health habits, infrastructure and appropriate implementation of the land reform policy.

Keywords

Multidimensional Poverty Index, Multiple Correspondence Analysis (MCA), Bodo Households, FGT Poverty Index, Inequality Index.
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  • Alkire, S. (2002). Dimensions of Human Development. World Development, 30 (2), 181-205.

  • Alkire, S. & Foster, J. E. (2007). Counting and Multidimensional Poverty Measures, OPHI Working Paper-7. Oxford University, Oxford Poverty & Human Development Initiative.

  • Alkire, S. & Foster, J. E. (2011). Counting and Multidimensional Poverty Measurement. Journal of Public Economics, 95(7-8), 476-487.

  • Anand S. & Sen. A. (1997). Concepts of Human Development and Poverty: A Multidimensional Perspective.

  • Poverty and Human Development: Human Development Papers - 1997, New York: United Nations Development Programme; 1997: 1-20, Reprinted In: Fukuda-Parr, S., Shiva Kumar, A. K. (Eds.) Readings in Human Development (New Delhi: Oxford University Press, 2003).

  • Assam Human Development Report (2014). Assam Human Development Report 2014. Managing Diversities, Achieving Human Development. Prepared by OKD Institute of Social Change and Development, Guwahati Institute for Human Development, New Delhi, On behalf of Planning and Development Department Government of Assam, 1-308.

  • Asselin, L. M. (2002). Composite Indicator of Multidimensional Poverty. In: CECI, June.

  • Asselin, L-M. & Anh, V.T. (2005). Multidimensional Poverty in Vietnam 1993-1998 according to CBMS indicators. Vietnam Socio-Economic Development Review, Spring 2005, 41.

  • Atkinson, A. & Bourguignon, F. (1982). The Comparison of Multidimensional Distributions of Economic Status. Review of Economic Studies, 49, 183-201.

  • Batista Foguet, J.M., Fortiana, J., Currie, C., & Villalbí, J.R. (2004). Socio-Economic Indexes in Surveys for Comparisons between Countries. Social Indicators Research, Kluwer Academic Publishers, Printed in the Netherlands, 67, 315-332.

  • Duclos, J.Y., Sahn, D., & Younger, S. (2001). Robust Multi-dimensional Poverty Comparisons. Economic Journal, 116(514), 943-968.

  • Economic Survey of Assam (2014-15). Retrieved from:http://planassam.info/contents_sub.php?username=& status=&q=25&link_name=25&ID=122&link_caption=Economic%20Survey%20&%20Statistics. Accessed on 18/02/2015.

  • Ezzrari A., & Verme, P. (2012). A Multiple Correspondence Analysis Approach to the Measurement of Multidimensional Poverty in Morocco 2001-2007. Policy Research Working Paper, 6087. The World Bank Middle East and North Africa Region Economic Policy, Poverty and Gender.

  • Kabubo-Mariara, J., Wambugu, A., and Musau, S. (2010). Multidimensional Poverty in Kenya: Analysis of Maternal and Child Wellbeing, Final Report Presented in 8th Poverty and Economic Policy Research Network. School of Economics, University of Nairobi.

  • Kolm, S.C. (1997). Multidimensional Egalitarianisms. Quarterly Journal of Economics, 91, (1-13).

  • Krejcie, R.V., & Morgan, D.W. (1970). Determining Sample Size for Research Activities, In Hill, R. 1998. What Sample Size is ‘Enough’ in Internet Survey Research? Interpersonal Computing and Technology: An Electronic Journal for the 21st Century. Available at http://www.emoderators.com/ipct-j/1998/n3-4/hill.hmtl, site accessed on 12th May 2013.

  • Njong, A.M., & Ningaye, P. (2008). Characterising Weights in the Measurement of Multidimensional Poverty: An Application of Data-driven Approaches to Cameroonian Data. OPHI Working Paper 21 August, 2008, Available at www.ophi.org.uk site accessed on 14tth April 2015.

  • Noglo, Y. A. (2014). Measuring and Analysing the Non-monetary Approach of Multidimensional Poverty by the Basic Needs in Togo. William Davidson Institute Working Paper Number 1083, University of Michigan.

  • OPHI. (2015). Retrieved from: www.ophi.org.uk, accessed on 15th January 2015.

  • Press Note on Poverty (2013). Government of India, Planning Commission, Press Information Bureau, 1-9.

  • Rao, M., S., & Rao, B. L. (2010). Factors Influencing Socio-Economic Status of the Primitive Tribal Groups (PTGs) and Plain Tribes in Andhra Pradesh (A Logistic Regression Analysis). World Applied Sciences Journal, 11 (2), 235-244.

  • Ravallion, M. (1996). Issues in Measuring and Modelling Poverty. The Economic Journal, 106 (438), 1328-1343.

  • SCRIBD (2015). Retrieved from: www.ophi.org.uk, accessed on 15th August 2015.

  • Sen, A. (1993). Capability and Well-being. In: Nussbaum, M.C., Sen, A.K. (eds.) The Quality of Life, Oxford Claredon Press.

  • Sen, A.K. (1976). Poverty: An Ordinal Approach to Measurement. Econometrica, 44, 219-23.

  • Singh, N. K. (2014). New Poverty Line: Rs 32 in villages, Rs 47 in cities. Times of India. July 7.

  • Statistical Handbook of Assam (2013-14). Retrieved from:http://planassam.info/contents_sub.php?username=& status=&q=25&link_name=25&ID=122&link_caption=Economic%20Survey%20&%20 Statistics, access on 18/02/2015.

  • Townsend, P. (1993). The International Analysis of Poverty. Harvester Wheatsheat: London, UK.

  • Udalguri (2016), Official Website. Retrieved from: http://udalguri.gov.in/districtatglance.htm, accessed on 7th December, 2015.

  • UNDP. (2010). Human Development Report. Retrieved from http://hdr.undp.org/sites/default/files/reports/270/hdr_2010_en_complete_reprint.pdf.

  • Wardhana, D. (2010). Multidimensional Poverty Dynamics in Indonesia (1993 - 2007). M.Sc. Dissertation, School of Economics, University of Nottingham.

  • World Bank. (2001). World Development Report 2000/01: Attacking Poverty. World Bank, Washington D.C.


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  • Bodo Tribes are Multidimensionally Poor: Evidence from Udalguri District, Assam, India

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Authors

Shrabanti Maity
Associate Professor, Department of Economics, Vidyasagar University, Midnapore, West Bengal, India

Abstract


The aim of this paper is to identify the income poverty, income inequality and multidimensional poverty status of Bodo people residing in Udalguri district of Bodoland, Assam. The study is entirely conducted on the basis of the novel data collected through multistage stratified purposive random sampling technique from 327 Bodo households. Foster, Greer and Thorbecke (FGT) weighted poverty index, the Gini coefficient, Atkinson index and Multiple Correspondence Analyses are used to measure the income poverty, income inequality and multidimensional poverty, respectively. The results suggest that in terms of both FGT and MPI indicators, Bodos are self-sufficient, far from saying surplus, and there is lower inequality in the distribution of income. The improvement in the MPI status can be achieved by giving more emphasis on education, proper health habits, infrastructure and appropriate implementation of the land reform policy.

Keywords


Multidimensional Poverty Index, Multiple Correspondence Analysis (MCA), Bodo Households, FGT Poverty Index, Inequality Index.

References





DOI: https://doi.org/10.25175/jrd%2F2020%2Fv39%2Fi1%2F122281