AN EXAMINATION OF MULTIDIMENSIONAL POVERTY PROFILE IN LIMPOPO, SOUTH AFRICA: IMPLICATIONS FOR THE USE OF CBMS GENERATED DATA FOR INTEGRATED DEVELOPMENT PLANNING.
DOI:
https://doi.org/10.17501/icoss.2017.4105Keywords:
Poverty, integrated-development-plans, community based system, South AfricaAbstract
This study sought to establish the status of multidimensional poverty in Tzaneen Local Municipality in South Africa by using community-based system (CBMS). The objective was to profile multidimensional poverty on basic services and assess the usability of the generated data by local municipalities for Integrated development planning. Consultative, capacity building and CBMS design approach was adopted in the study. Administered household profile questionnaire was used on 1534 households. Indicators for poverty measurements were generated in partnership with Local municipality and aligned to Statistics South Africa. Data was captured using excel software and imported to CSPro6.3 software for creation of data dictionary and database. Data analysis was done using predetermined indicators and formulas. CBMS-NRDB software was used to generate poverty maps. Community validation approach was used to authenticate study findings. We conclude that CBMS generated multidimensional poverty data and maps can be used for formulating effective Integrated development plans and regular progress monitoring. The information can further be used to assess poverty policy implications at local levels. We recommend that Local municipality use CBMS generated data as a baseline for Integrated development planning and to compliment other national poverty surveys data.
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References
Bhorat, H., and Kanbur, R., 2005, Poverty and well-being in post-apartheid South Africa: an overview of data, outcomes and policy, working Paper No. 05/101, Cape Town: Development Policy Research Unit, University of Cape Town.
Cantillon, S., and Nolan, B.,2001, Poverty within households: measuring gender differences using nonmonetary indicators. Feminist Economics,7,5-23.
Carrim, Y,2001, Bridging the gap between the ideas and practice: challenges of the new local government system. Umrabulo, May 10.
Creswell, J. W., Plano Clark, V. L., Gutmann, M., and Hansan, W., 2003, Advanced mixed methods research designs. In: Tashakkori, A. and Teddlie, C. (editors), Handbook of mixed methods in social behavioral research, (Thousand Oaks, CA, Sage), pp.209-240.
DBSA., 2000, Building developmental local government. development report 2000. Development Bank of Southern Africa, Midrand, SA.
Hirschowitz, R., Orkin, M., and Alberts, P., 2000. Key baseline statistics for poverty measurement. In R. Hirschowitz (Ed.), Measuring poverty in South Africa. Pretoria: Statistics South Africa, pp. 5-52.
Integrated Development Plans.,2012, Integrated development plans 2012/13-2016/17 [Draft]. Tzaneen: Tzaneen Local Municipality.
Integrated Development Plans,2007, Mutale local municipality integrated development plans. Mutale, Vhembe District: Mutale Local Municipality.
Litman, Todd., 2006, Planning principles and practices, victoria transport policy institute. accessed at <http://www.vtpi.org/planning.pdf> 4-8 - 2017.
Magasela,W.,2005, Towards Constitutional based definition of Poverty In post-Apartheid South Africa. State of Nation, South Africa,2005-2006. HSRC Press,2005.
May, J.,2001, An elusive consensus: Definitions, measurement and analysis of poverty. In A. Grinspun (Ed.), Choices for the poor: Lessons from national poverty strategies. New York: United Nations Development Programme, pp. 23-54.
McIntyre, D., Muirhead, D., & Gilson, L., 2000, Geographic patterns of deprivation in South Africa: Informing health equity analyses and public resource allocation strategies. Health Policy and Planning. 17, 30-39.
National Planning Commission., 2011, National development plan vision 2030, Pretoria, South Africa: The Presidency.
Noble, M., Wright, G., & Cluver, L., 2006, Developing a child-focused and multidimensional model of child poverty for South Africa. Journal of Children and Poverty, 12(1), 39-53.
Oosthuizen, M., 2011, Estimating poverty lines for South Africa. Retrieved from www.infr.gov.za on 12/7/17 from Department of Social Development.
Partnership for Economic Policy Network, 2009, Building partnerships, strengthening capacities and Fostering responsive and accountable governance. Proceedings of the 2009 national conference of Community based monitoring system. Philippines. December. pp 1-257.
Reyes, C., & Due, R., 2009, Fighting poverty with facts: Community-based Monitoring system. Ottawa, ON: International Development Research Centre.
SALDRU, 2008, The South African national economic dynamic study (NIDS): lessons from the international experience.
Scott, C.,2000, Measuring up to the poverty measuring problems: The role of statistics in evidence based policy making. UK: London school of Economics.
South Africa Local government: municipal structure amendment Bill of 2016. Accessed on12/7/17 from WWW.gov.za/documents/local-government-municipality-structures-act.
South Africa Local government: Municipal structure amendment act1 of 2003. Accessed on 12/7/17 from WWW.gov.za/documents/local-government-municipality-structures-act.
South Africa Local government: Municipal structure amendment act 32 of 2000. Accessed on 12/7/17 from WWW.gov.za/documents/local-government-municipality-structures-act
South Africa Local Government: Municipal Structures Act 117 of 1998. Accessed on 12/7/17 from WWW.gov.za/documents/local-government-municipality-structures-act.
South Africa White paper on Local Government. Accessed on 12/7/17 fromwww.cogta.gov.za/cgta_2016/wp-content…/white paper_local-Gov_1998.
SPII ,2005, The Measurement of Poverty in South Africa Project: Key issues from statistics South Africa (2000) Measuring poverty in South Africa, Pretoria: Statistics South Africa.
SPII ,2007, The Measurement of Poverty in South Africa Project: Key issues. Pretoria: Statistics South Africa.
Statistics South Africa. (2008). Community Survey 2007: methodology, processes and studies in poverty and inequality. Johannesburg, South Africa: Statistics South Africa.
Statistics South Africa,2007, General household survey 2006. Pretoria South Africa: Statistics South Africa.
Statistics South Africa,2007,Income and expenditure of Household survey 2005/2006 statistical release. Pretoria, South Africa: Statistics South Africa.
Tarozzi, A., & Deaton, A., 2007, Using census and survey data to estimate poverty and inequality for small area. The review of Economic Statistics, 61(1), 146-149.
United Nations, 2005, A handbook on poverty statistics: Concepts, methods and policy use. NY: United Nations.
United Nations ,2006, Towards achieving sustainable growth and development through vision 2014; united nations development assistant framework for South Africa 2007-2010.NY: United Nations.
United Nations Development programme ,2000, Human Development report 2000: United nations Development programme, New York: Oxford University Press.
Woolard, I., & Leibbrandt, M., 2006, Towards a poverty line for South Africa: A background note. Cape town, South Africa: Southern Africa Labor and Development Research Unit. Retrieved from http://www.treasury.gov.za.
World Bank, 2016, Poverty and shared responsibility. Taking on inequality. World Bank. Washington DC.USA.
World Bank,2005, World Development Report 2005: A better investment Climate for everyone. Volume 33-35. Oxford University Press, World Bank NY USA.
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