Next Article in Journal
Political Law on the Environment: The Authority of the Government and Local Government to File Litigation in Law Number 32 Year 2009 on Environmental Protection and Management
Previous Article in Journal
New Insight into the Influence of Rhamnolipid Bio-Surfactant on the Carbonate Rock/Water/Oil Interaction at Elevated Temperature
Article

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

1
Wondo Genet College of Forestry and Natural Resources, Department of Natural Resource Economics and Policy, Hawassa University, P.O. Box 128, Shashemene, Ethiopia
2
Department of Community Development and Applied Economics, University of Vermont, Burlington, VT 05405, USA
*
Author to whom correspondence should be addressed.
Resources 2018, 7(4), 76; https://doi.org/10.3390/resources7040076
Received: 7 September 2018 / Revised: 3 November 2018 / Accepted: 6 November 2018 / Published: 23 November 2018
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. View Full-Text
Keywords: linear programming; cropland; productivity; profitability; Ethiopia; smallholder linear programming; cropland; productivity; profitability; Ethiopia; smallholder
Show Figures

Figure 1

MDPI and ACS Style

Mellaku, M.T.; Reynolds, T.W.; Woldeamanuel, T. Linear Programming-Based Cropland Allocation to Enhance Performance of Smallholder Crop Production: A Pilot Study in Abaro Kebele, Ethiopia. Resources 2018, 7, 76. https://doi.org/10.3390/resources7040076

AMA Style

Mellaku MT, Reynolds TW, Woldeamanuel T. Linear Programming-Based Cropland Allocation to Enhance Performance of Smallholder Crop Production: A Pilot Study in Abaro Kebele, Ethiopia. Resources. 2018; 7(4):76. https://doi.org/10.3390/resources7040076

Chicago/Turabian Style

Mellaku, Meselu T., Travis W. Reynolds, and Teshale Woldeamanuel. 2018. "Linear Programming-Based Cropland Allocation to Enhance Performance of Smallholder Crop Production: A Pilot Study in Abaro Kebele, Ethiopia" Resources 7, no. 4: 76. https://doi.org/10.3390/resources7040076

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop