Participation in pro poor agro based enterprises in Malawi: do households’ poverty levels change automatically?

Pangapanga, Phiriinnocent and Thangalimodzi, Lucy Tembo (2012): Participation in pro poor agro based enterprises in Malawi: do households’ poverty levels change automatically?

Abstract

This paper explores factors that influence households’ engagement in pro poor agro enterprises and examines the impacts of such small and medium scale enterprise on households’ poverty reduction. The paper approaches the objective by estimating a multivariate and data censoring analyses on 1000 household dataset from Malawi. The paper found that fish and mushroom farming, cassava flour processing, pig and chicken rearing, rural bakeries, and other have positive effect on household poverty levels. Pro poor agro based enterprises reduced household poverty by 8-24% among poor household in Malawi. However, the data depicts that pro poor small and medium scale businesses owners are challenged by lack of credit, low bargaining power, high input costs, low product prices and lack of reliable markets. The paper recommends mainstreaming factors and market based barriers that affect participation in agro based enterprises in Malawi. The paper also suggests that pro poor programs ought to be gender responsive at all levels of their operations.

• Item Type: MPRA Paper
• Language: English
• Keywords: Households, Multivariate Analysis; Pro poor Agro Enterprises; Malawi
• Subjects: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling; D - Microeconomics > D1 - Household Behavior and Family Economics

References

Action Aid. (2006). Climatic Change and Smalholder Farmers in Malawi. Lilongwe. http://actionaid.org.uk/doc_lib/malawi_climate_change.

Aggarwal P.K., Baethegan W.E., Cooper P., Gommes R., Lee B., MeinkE H., Rathore L.S. and Sivakumar M.V.K. (2010). Managing Climatic Risks to Combat Land Degradation and Enhance Food security. Procedia Environmental Sciences Vol. 1:305–312.

Ajayi O.C., Akinnifesi F.K., Sileshi G., Chakeredza S., Mn’gomba S., Nyoka I and Chineke T. (2008).Local Solutions to Global Problems: The Potential of Agroforestry for Climate Change Adaptation and Mitigation in Southern Africa. Lilongwe, Malawi

Akpalu W., Hassan R.M. and Ringler C. (2008). Climate Variability and Maize Yield in South Africa. Environment and Production Technology Division. IFPRI Paper 00843.

Ben-Akiva and Lerman S.R. (1985). Discrete Choice Analysis: Theory and Application to Travel Demand. The MIT Press. Cambridge.

Bhat, C. R. (1995). A Heteroskedastic Extreme Value Model of Intensity Travel Mode choice. Transportation Research Vol. 29 (2): 471-483

Daly A and Zachary S. (1979). Improved Multiple Choice Model. Teakfield, London.

Edriss A.K. (2003). Passport to Research Methods. International Publishers, Las Vegas, USA.

Environmental Affairs Department. (2006). National Adaptation Programme for Action. Ministry of Natural Resources and Environmental Affairs, Malawi

Famine early Warning Network-USAID. (2011). Malawi food updates, Malawi.

Food and Agricultural Organization. (2011). Effects of climatic change on world food production and food security. Rome. http://www.fao.org/docrep/W5183E/w5183e0b.htm.

Gomani M., Bie S. and Mkwambisi D. (2008). Climate Change and rural livelihoods in Malawi. Final Report. The Royal Norwegian Embassy, Malawi.

Google Earth. (2011). www. worldcountries.info/googleearth/googleearth-malawi.php.

Government of Malawi (GoM). (2008). Annual Economic Report. Ministry of Development Planning and Cooperation. Lilongwe. Malawi

Government of Malawi. (2004). Malawi National Land Policy. Ministry of Land Development, Lilongwe, Malawi.

Government of Malawi. (2006). Malawi Growth and Development Strategies. Ministry of Development, Planning and Cooperation, Lilongwe. Malawi.

Gueye A and Gauci A. (2003). Pro poor growth strategies in Africa.

Greene W.H. (2003). Econometric Analysis, 5th ed. Upper Saddle River: Prentice Hall.

Hassan R. and Nhemachena C. (2007). Determinants of African farmers’ strategies for adapting to climatic change: Multinomial choice analysis. African Journal of Agricultural and Resource Economics Vol. 2(1):83-104 .

International Monetary Fund. (2010). World Economic Outlook. Recovery, Risk and Rebalancing. IMF Publication Services. Washington DC, USA.

Langyintuo A. and Mekuria M. (2008). Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture. African Journal of Agric. Economics Vol. 2(2):152-169.

Maddison D. (2006). The perception and adaptation to climate change in Africa. CEEPA Discussion Paper No. 10, Centre for Environmental Economics and Policy in Africa, University of Pretoria, South Africa.

Michael S. (2009). Social cash transfers and pro poor growth.

McFadden D. (1978). Modelling the choice of residential location. Spacial interaction Theory and Residential location. North Hollard, Amsterdam.

McFadden D. (1980). Econometric models for Probabilistic Choice of product; A Journal of Business, Vol. 53 (3): 13-29.

Molua E.L. and Mlambi C.M. (2008). The Impact of Climate Change on Agriculture in Cameroon, Policy Research Working Paper 4364, Development Research Group, Sustainable Rural and Urban Development Team. Washington DC.

National Statistical Office (2005). Second Integrated Household Survey. Malawi.

Nhemachena C. (2009). Agriculture and Future Climate Dynamics in Africa: Impacts and Adaptation Options. University of Pretoria. South Africa.

Rosenzweig C. and Parry M. (1994). Potential Impacts of Climate Change on World Food Supply. No. 367: 133–138.

Stopher P.R., Maybrug A.H. and Brog W. (1981). Travel Behavior Research: New Horizons in Travel Behavior Research. Lexington Books, Massachusetts.

Tchale H., Bohn E., Armas E and Kambambe S. (2004). Malawi and Southern Africa: Climatic Variability and Economic Performance, Washington DC.

Tchale H. and Sauer J. (2006). Soil Fertility Management and Agricultural Productivity in Malawi, Bunda College. Lilongwe, Malawi.

Train K. (2002). Structural Logit Model of Auto Ownership of Choice Model: Review of Economic Studies, Vol 37 (2): 357-370.

World Bank. (2010). The Economics of Adaptation to Climate Change Synthesis Report. Washington DC. USA.