Sectoral Growth and Poverty Alleviation: A Multiplier Decomposition Technique Applied to South Africa |
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| Institution: | 1. Department of Community Sustainability, Michigan State University, 131 Natural Resources Building, 480 Wilson Road, East Lansing, MI 48824, United States;2. Department of Plant, Soil, and Microbial Sciences, Michigan State University, 286A Plant & Soil Sciences Building, 1066 Bogue Street, East Lansing, MI 48824, United States;1. University Federico II, Naples, Italy;2. World Bank, Washington DC, USA;1. South Asian Network for Development and Environmental Economics (SANDEE-ICIMOD), Lalitpur, Nepal;2. Southasia Institute of Advanced Studies, Kathmandu, Nepal |
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| Abstract: | How does an increase in a sector's output affect poverty alleviation? In this paper a multiplier decomposition for a socioeconomic system represented by a Social Accounting Matrix (SAM) is used to study this linkage. The decomposition applied to South Africa reveals that growth in agriculture, services and some manufacturing sectors can alleviate poverty for the black African population. For sectoral growth to be effective, however, the need for appropriate skill acquisition for the poor must be addressed directly. Only long-term policies geared towards improving both economic growth and the human capital stock of the poor can lead to significant poverty alleviation. |
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