Effects of Income and Price on Household’s Charcoal Consumption in Three Cities of Tanzania

Author:

Nyamoga G. Z.12ORCID,Sjølie H. K.3,Latta G.4,Ngaga Y. M.1,Malimbwi R.1,Solberg B.2

Affiliation:

1. Sokoine University of Agriculture–SUA College of Forestry, Wildlife and Tourism, Department of Forest and Environmental Economics, P.O. Box 3011, Morogoro, Tanzania

2. Norwegian University of Life Sciences–NMBU, Faculty of Environmental Sciences and Natural Resource Management–MINA, P.O. Box 5003, Ås, Norway

3. Inland Norway University of Applied Sciences, Faculty of Applied Ecology, Agriculture and Biotechnology, Department of Forest and Wildlife Ecology, Elverum, Norway

4. University of Idaho College of Natural Resources, Department of Natural Resources and Society, 875 Perimeter Drive MS 1139, Mascow, ID 83844-1139, USA

Abstract

More than 80% of the urban and periurban population in Tanzania depend on charcoal as their main source of energy for cooking. This charcoal is supplied from natural forests, mainly Miombo woodlands, and the high charcoal consumption is a main trigger for deforestation, forest degradation, and climate gas emissions. The country’s urban population is increasing at an annual rate of 5-6%, and better understanding of the urban demand for charcoal is of high interest regarding the country’s energy development, climate mitigation, and land use. We surveyed 360 households situated in the Tanzanian cities Dodoma, Morogoro, and Mtwara and analyzed statistically the impacts of household income, charcoal prices, and household size on the per capita charcoal consumption. For the total sample, statistically significant elasticities were found to be 0.03, −0.13, and −0.62 for per capita income, charcoal price, and household size, respectively. In the low-income group, the elasticities of charcoal price and household size were found to be statistically significant with the values of −0.44 and −0.59, respectively, whereas in the middle-income group, the household size was the only statistically significant variable, with elasticity −0.81. In the high-income group, we got statistically significant elasticities of 0.17 for per capita income and −0.44 for household size. These results are based on small samples and should be followed up by larger surveys.

Funder

Sokoine University of Agriculture

Publisher

Hindawi Limited

Subject

Nature and Landscape Conservation,Plant Science,Ecology, Evolution, Behavior and Systematics,Forestry

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