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Linear Programming-Based Cropland Allocation to Enhance Performance of Smallholder Crop Production: A Pilot Study in Abaro Kebele, Ethiopia

Author

Listed:
  • Meselu Tegenie Mellaku

    (Wondo Genet College of Forestry and Natural Resources, Department of Natural Resource Economics and Policy, Hawassa University, P.O. Box 128, Shashemene, Ethiopia)

  • Travis W. Reynolds

    (Department of Community Development and Applied Economics, University of Vermont, Burlington, VT 05405, USA)

  • Teshale Woldeamanuel

    (Wondo Genet College of Forestry and Natural Resources, Department of Natural Resource Economics and Policy, Hawassa University, P.O. Box 128, Shashemene, Ethiopia)

Abstract

Smallholder farmer crop production is a mainstay of the Ethiopian economy. A series of agricultural extension programs have been implemented since the 1950s in an effort to improve smallholder productivity. In this study, we argue that the limited attention that is given to cropland allocation by smallholders is one key driver of low performance of crop production as well as a key factor in environmental degradation. Drawing on data from a household survey of 75 randomly selected households in Abaro Kebele , Ethiopia, combined with focus-group discussions, key informant interviews, and secondary data sources, we use linear programming to highlight the impact of cropland allocation decisions on the performance of rural smallholder crop production systems. We find that under current land use practices households are not able to meet their consumption needs. The average profitability of farms under the current cropland allocation is also significantly below the estimated level of profit that could be realized by reallocating cropland while using linear programming. Additionally, survey results suggest that low crop production performance (in terms of meeting both household food crop production needs and profit goals) is the primary reason why households do not participate in conservation efforts and sustainable resource management practices. This study suggests that linear programming-based cropland allocation modeling might be applied to enhance the profit performance of smallholder crop production, help meet household food crop production requirements, and thereby promote the sustainable utilization of environmental resources.

Suggested Citation

  • Meselu Tegenie Mellaku & Travis W. Reynolds & Teshale Woldeamanuel, 2018. "Linear Programming-Based Cropland Allocation to Enhance Performance of Smallholder Crop Production: A Pilot Study in Abaro Kebele, Ethiopia," Resources, MDPI, vol. 7(4), pages 1-15, November.
    • Handle: RePEc:gam:jresou:v:7:y:2018:i:4:p:76-:d:185072
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    References listed on IDEAS

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    1. Kahsay, Goytom Abraha & Hansen, Lars Gårn, 2016. "The effect of climate change and adaptation policy on agricultural production in Eastern Africa," Ecological Economics, Elsevier, vol. 121(C), pages 54-64.
    2. Reynolds, Travis W. & Farley, Joshua & Huber, Candice, 2010. "Investing in human and natural capital: An alternative paradigm for sustainable development in Awassa, Ethiopia," Ecological Economics, Elsevier, vol. 69(11), pages 2140-2150, September.
    3. Kondwani G. Munthali & Yuji Murayama, 2013. "Interdependences between Smallholder Farming and Environmental Management in Rural Malawi: A Case of Agriculture-Induced Environmental Degradation in Malingunde Extension Planning Area (EPA)," Land, MDPI, vol. 2(2), pages 1-18, April.
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    Cited by:

    1. Sofoluwe, N.A. & Tijani, A. A., 2021. "Optimal Crop Plan Of Cooperative Farmers In Osun State, Nigeria: A Linear Programming Approach," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 15(1-2), June.

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