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Assessment of multidimensional rural poverty in Burji and Konso area, Southern Ethiopia

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Abstract

Poverty is one of the hoariest socio-economic problems in the world and a complex concept that attracted the involvement of several researchers and policymakers. Nowadays, it is the number one global agenda as it has indicated on SDG. Ethiopia is one of the poorest countries in the world and the level of poverty is more challenging in rural areas compared to urban. Currently, there are great tendencies over the world to measure poverty using Alkire and Fosters' MPI approach among different approaches of poverty assessment. This study aimed at assessing multidimensional rural poverty status household's poverty in Burji and Konso area in Southern Ethiopia. To address this objective, 368 households were selected using simple random sampling techniques. The data were collected from both primary and secondary sources. Interview schedule, focused group discussion, key informant interview, and observation methods were implemented to collect primary data. Alkire and Foster Methodology with modified four dimensions and 14 indicators used to analyze multidimensional rural poverty. The study reveals as the highest three deprivations 97.8% of cooking fuel, 92.6% of the floor, and 76.1% of drinking water. The multidimensional Poverty Index (MPI) of the study area was 0.419 with 76.6% of incidence and 54.7% the intensity of multidimensional rural poverty. The highest (15%) contributor to MPI was deprivation in school attendant and the highest (36%) deprivation dimension was in living Standard out of four dimensions.

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Fig. 1

Source: Ethio GIS and CSA (2017)

Fig. 2

Source: Own survey data, 2020

Fig. 3

Source: Computed from own field survey, 2020

Fig. 4

Source: Own survey result, 2020

Fig. 5

Source: Own survey result, 2020

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Abbreviations

HDI:

Human Development Index

MPI:

Multidimensional Poverty Index

OPHDI:

Oxford Poverty and Human Development Initiative

SDG:

Sustainable Development Goals

SNNPR:

South Nation Nationalities and Peoples Region

UNDP:

United Nation Development Program

References

  • Adepoju A (2018) Determinants of Multidimensional Poverty Transitions among Rural Households in Nigeria. 30th International Conference of Agricultural Economist, Vancouver

  • Alkire S (2008) Using the capability approach: prospective and evaluative analyses. In: Commim F, Qizilbash M, Alkire S (eds) The capability approach. Cambridge University Press, pp 26–49

    Chapter  Google Scholar 

  • Alkire S, Foster J (2011) Counting and multidimensional poverty measurement. J Public Econ 95(7–8):476–487

    Article  Google Scholar 

  • Alkire S, Jahan S (2018) The new global MPI 2018: aligning with the sustainable development goals', HDRO Occasional Paper, United Nations Development Program

  • Alkire S, Kanagaratnam U (2018) Multidimensional Poverty Index Winter 2017-18: Brief methodological note and results. University of Oxford, OPHI Methodological Notes 45

  • Alkire S, Santos ME (2010) Acute multidimensional poverty: a new index for developing countries. Human development research paper, 2010/2011. UNDP, USA

  • Alkire S, Santos M (2011) Acute multidimensional poverty: a new index for developing countries. In: Proceedings of the German development economics conference, Berlin 2011, No. 3

  • Alkire S, Foster J, Seth S, Santos ME, Roche JM, Ballon P (2015) Multidimensional poverty measurement and analysis. Oxford University Press, Oxford (5)

    Book  Google Scholar 

  • Alkire S, Jindra C, Robles G, Vaz A (2016) Multidimensional Poverty Index 2016: brief methodological note and results. OPHI Briefing 42, University of Oxford

  • Amao JO, Ayantoye K, Fanfosi GE (2017) An analysis of multidimensional poverty and its determinants in rural Nigeria. J Dev Agric Econ 9(11):303–311. https://doi.org/10.5897/JDAE2017.0857

    Article  Google Scholar 

  • Andualem (2015) Multidimensional Poverty: Theory and Empirics. Lombardy Advances school of economic research, https://air.unimi.it/retrieve/handle/2434/340448/485315/phd_unimi_R09909.pdf

  • Bourguignon F, Chakravarty SR (2003) The measurement of multidimensional poverty. J Econ Inequal 1(1):25–49

    Article  Google Scholar 

  • Bucheli JR, Bohara K, Villa K (2016) The impact of a rural road development project on multidimensional poverty in Nepal. Massachusetts, Boston

    Google Scholar 

  • Desawi K (2019) Rural household multidimensional poverty and vulnerability in Degu’a Tembien district. Addis Ababa University, South Eastern Zone of Tigray, Ethiopia

    Google Scholar 

  • FAO 2015. The State of Food Insecurity in the World (2015) Meeting the 2015 international hunger targets: taking stock of uneven progress. FAO, Rome

    Google Scholar 

  • Getu (2018) Multidimensional poverty and its dynamics in Ethiopia, economic growth and development in Ethiopia, perspectives on development in the Middle East and North Africa (MENA) Region. https://doi.org/10.1007/978-981-10-8126-2_8

  • Lewis A (2009) Methodological issues in exploring the ideas of children with autism concerning self and spirituality. J Religion Disabil Health 13:64–76

    Article  Google Scholar 

  • Oxford Poverty and Human Development Initiative (2013) Measuring multidimensional poverty: insights from around the world. The global multidimensional poverty peer network. Brochure N.A., Oxford Department of International Development

  • Oxford Poverty & Human Development Initiative (2016) Multidimensional Poverty and its Measurement. Working paper 12, Seminar on poverty measurement, Geneva, Switzerland

  • Oxford Poverty and Human Development Initiative (2017a) Ethiopia country briefing, Multidimensional Poverty Index Data Bank. Retrieved from www.ophi.org.uk/multidimensional-povertyindex/mpi-country-briefings/. Accessed 12 Feb 2019

  • Oxford Poverty and Human Development Initiative (2017b) Ethiopia country briefing”, Multidimensional Poverty Index Data Bank. Retrieved from www.ophi.org.uk/multidimensional-povertyindex/mpi-country-briefings/. Accessed 23 Feb 2019

  • Oxford Poverty and Human Development Initiative (2018) Global Multidimensional Poverty Index 2018

  • Oxford Poverty and Human Development Initiative (2020) Ethiopia Country Briefing”, Multidimensional Poverty Index Data Bank. Oxford Poverty and Human Development Initiative, University of Oxford. Available at: www.ophi.org.uk/multidimensional-poverty-index/mpi-country-briefings/

  • Oyekale TO, Aboaba KA, Adewuyi SA, Dada DA (2019) Multidimensional poverty among rural households in Ogun State, Nigeria. J Agribus Rural Dev 4(54):335–344. https://doi.org/10.17306/J.JARD.2019.01287

  • Qizilbash M, Clark DA (2005) The capability approach and fuzzy poverty measures: an application to the South African context. Soc Indic Res 74:103–139

    Article  Google Scholar 

  • Sen A (1980) Equality of what? In Sen AK (1982), Choice, welfare and measurement, Oxford: Blackwell

  • Sen A (1984) Resources, values and development. Blackwell, Oxford

    Google Scholar 

  • Sen A (1999) Development as freedom. Oxford University Press, Oxford

    Google Scholar 

  • United Nations (2015) The millennium development goals report 2015. United Nations, New York

    Google Scholar 

  • United Nations Development Programme and Oxford Poverty and Human Development Initiative (2019) Sierra Leone Multidimensional Poverty Index 2019. Statistics Sierra Leone, Edward Miller

  • Yamane T (1967) Statistics, an introductory analysis, 2nd edn. Harper and Row, New York

    Google Scholar 

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Acknowledgements

Thanks to Almighty God for giving me the health, wisdom, and patience to accomplish this task. I would like to express my gratitude to Dr. Yishak Gecho and Dr. Melkamu Mada to stand by my side throughout this work. I say thank you to Wolaita Sodo and Arba Minch University to support this study financially.

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Authors and Affiliations

  1. Department of Rural Developments and Agricultural Extension, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia

    Yohannes Mare

  2. Department of Rural Developments and Agricultural Extension, Wolaita Sodo University, P.O. Box 138, Sodo, Ethiopia

    Yishak Gecho

  3. Department of Economics, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia

    Melkamu Mada

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  1. Yohannes Mare
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  2. Yishak Gecho
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  3. Melkamu Mada
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Correspondence to Yohannes Mare.

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Mare, Y., Gecho, Y. & Mada, M. Assessment of multidimensional rural poverty in Burji and Konso area, Southern Ethiopia. Int Rev Econ 69, 49–69 (2022). https://doi.org/10.1007/s12232-021-00385-x

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