Volume 5, Issue 1, March 2020, Page: 14-20
Impacts of Livestock Holdings on Households’ Decision to Participate in Wood Fuel Production from Dryland Forest (Case study in Dire Dawa; Ethiopia)
Mitku Alemu Mengistu, Forest Economics and Management, School of Economics and Management, Beijing Forestry University, Beijing, China; Socieconomics Policy, Extension and Gender, Bahir Dar Environment and Forest Research Centre, Bahir Dar, Ethiopia
Yi Xie, Forest Economics and Management, School of Economics and Management, Beijing Forestry University, Beijing, China
Received: Feb. 25, 2020;       Accepted: Mar. 9, 2020;       Published: Mar. 8, 2020
DOI: 10.11648/j.ajere.20200501.13      View  327      Downloads  87
Abstract
This study examines the influence of livestock holding on households’ decision to participation in wood fuel production from dryland forest. Survey data were collected from 160 households in Dire Dawa administration council of Oromia state, Ethiopia following a snowball sampling technique. Binary logit regression model and descriptive statistics were used to analyze the impacts of livestock holding on households’ decision to participation in fuelwood production from dryland forest. The estimation of the model indicates that livestock and size of arable land holdings were significant factors in determining households’ participation in wood fuel production. An increase of one unit in livestock holding leads to the probability of participation in wood fuel production of households decreased by 0.118 units while the land size has a negative impact on the participation of wood fuel production. When land size increased by 1 hectare the probability of participating in wood fuel production will be decreased by 0.9 units. The mean of wood fuel producers’ livestock holding was about 5.84 TLU and 10.67 for non- wood fuel producer which indicates the negative correlation of livestock holding and wood fuel production. Thus the study concludes that households with large livestock less likely to participate in wood fuel extraction from dryland forest. Promoting sustainable livestock production with appropriate grazing plan can have a significant role in dryland forest conservation and sustainable forest management.
Keywords
Livestock, Dryland Forest, Wood Fuel, Households, Forest Management
To cite this article
Mitku Alemu Mengistu, Yi Xie, Impacts of Livestock Holdings on Households’ Decision to Participate in Wood Fuel Production from Dryland Forest (Case study in Dire Dawa; Ethiopia), American Journal of Environmental and Resource Economics. Vol. 5, No. 1, 2020, pp. 14-20. doi: 10.11648/j.ajere.20200501.13
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Maass, J. M., et al., Ecosystem services of tropical dry forests: insights from longterm ecological and social research on the Pacific Coast of Mexico. Ecology and society: a journal of integrative science for resilience and sustainability, 2005. 10 (1): p. 1-23.
[2]
Weber, K. T. and S. Horst, Desertification and livestock grazing: The roles of sedentarization, mobility and rest. Pastoralism: Research, Policy and Practice, 2011. 1 (1): p. 19.
[3]
Lawry, S., R. McLain, and H. Kassa, Strengthening the resiliency of dryland forest-based livelihoods in Ethiopia and South Sudan: a review of literature on the interaction between dryland forests, livelihoods and forest governance. Vol. 182. 2015: CIFOR.
[4]
Raymond H., P., Neil E., 1 Froend, & Ladd, Phillip G., Grazing in remnant woodland vegetation: changes in species composition and life form groups, in Opulus Press Uppsala. 1995, Vegetation Science Sweden. p. 121-130.
[5]
Belsky, A. J. and D. M. Blumenthal, Effects of Livestock Grazing on Stand Dynamics and Soils in Upland Forests of the Interior West: Efectos del Pastoreo sobre la Dinámica de Árboles y Suelos en Bosques en el Altiplano del Occidente Interior. Conservation Biology, 1997. 11 (2): p. 315-327.
[6]
Van Dam, J., et al., The charcoal transition: greening the charcoal value chain to mitigate climate change and improve local livelihoods. 2017.
[7]
Teketay, D., Causes and consequences of dryland forest degradation in Sub-Saharan Africa. Vol. 24. 2004. 3-20.
[8]
Chidumayo, E. N. and D. J. Gumbo, The dry forests and woodlands of Africa: managing for products and services. 2010: Earthscan.
[9]
Fikir, D., W. Tadesse, and A. Gure, Economic contribution to local livelihoods and households dependency on dry land forest products in Hammer District, Southeastern Ethiopia. International Journal of Forestry Research, 2016. 2016.
[10]
Ndegwa, G. M., Evaluating Dry Woodlands Degradation and On-farm Tree Management in Kenyan Drylands. 2017, Universität Passau.
[11]
Giorgis, K. Agricultural and pastoral technologies and practices for climate change adaptation in dryland areas of Ethiopia. in proceeding of a high level policy forum workshop. 2014. Addis Ababa: Afar National Regional State, and UNDP Country Office.
[12]
Kiruki, H. M., et al., The effect of charcoal production and other land uses on diversity, structure and regeneration of woodlands in a semi-arid area in Kenya. Forest Ecology and Management, 2017. 391: p. 282-295.
[13]
Berhanu, A. a. T., Getachew, The Prosopis dilemma, impacts on dryland biodiversity and some controlling method. Journal of the Drylands, 2006. 1 (2): p. 158--164.
[14]
COOKE, P., KÖHLIN, G., & HYDE, W., Fuel wood, forests and community management – evidence from household studies. Environment and Development Economics, 2008. 13 (1) (S1355770X0700397X): p. 103-135.
[15]
Abay, N. G., Assessment on Acacia Woodland Degradation in Dire Dawa International Journal of Regional Development, 2018.
[16]
Dragan, I.-M. and A. Isaic-Maniu, Snowball sampling completion. Journal of Studies in Social Sciences, 2013. 5 (2).
[17]
Gujarati, Basics of Econometrics 1988, New York.
[18]
Gujarati, D. N. and D. C. Porter, Essentials of econometrics. Vol. 2. 1999: Irwin/McGraw-Hill Singapore.
[19]
Aldrich, J. H., et al., Linear probability, logit, and probit models 1984.
[20]
Mendum, R. and M. Njenga, Integrating wood fuels into agriculture and food security agendas and research in sub-Saharan Africa. FACETS, 2018. 3 (1): p. 1-11.
[21]
Pettit, N. E. a. F., Raymond H and Ladd, Phillip G, Grazing in remnant woodland vegetation: changes in species composition and life form groups. Journal of Vegetation Science, 1995. 6 (1): p. 121--130.
[22]
Adhikari, B., S. Di Falco, and J. C. Lovett, Household characteristics and forest dependency: evidence from common property forest management in Nepal. Ecological economics, 2004. 48 (2): p. 245-257.
[23]
MoARD, Forest Resources of Ethiopia. 2004: Addis Ababa, Ethiopia.
[24]
FAO, Global Forest Resource Assessment. Main Report FA Forestry Paper. 2010, Food and Agricultural Organization United Nations, Rome.
[25]
Reusing, M., Mapping woodland vegetation in SW Ethiopia based on a hybrid model. 2017, International Journal of Sustainable Development & World Ecology, p. 251-259.
[26]
Gebremedhin, T., Biomass estimation of herbaceous and woody vegetation in closed areas of Northern Ethiopia. 2002.
[27]
White, R. P. and J. Nackoney, Drylands, people, and ecosystem goods and services: a web-based geospatial analysis (PDF version). World Resources Institute ([Available at: http://pdf. wri. org/drylands. pdf accessed on 30/01/2012]), 2003.
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