Input-Output Relationship in Cassava Production: Empirical Evidence among Cassava Farmers in Kogi State, Nigeria
الموضوعات :
Thankgod Akoh
1
(Department of Agricultural Science, Kogi State College of Education Ankpa, Nigeria)
Ufedo Shaibu
2
(Department of Agricultural Economics and Extension, Kogi State University Anyigba, Nigeria)
Habibat Usman
3
(Department of Agricultural Economics and Extension, Kogi State University Anyigba, Nigeria)
الکلمات المفتاحية: Cassava, Input, Output, Frontier, Inefficiency,
ملخص المقالة :
This study assessed the input and output relationship in cassava production in Kogi State, Nigeria. A multistage random sampling technique was used to select 120 cassava farmers for the study. The survey instrument was a structured questionnaire. Data were collected on farmers’ socioeconomic characteristics, inputs used in cassava production, and other relevant data. The data were analyzed with the use of descriptive statistics and Cobb- Douglas stochastic frontier production function. The result of the socioeconomic characteristics of the respondents showed that most of the farmers were female (64.2%). This study found an average age of 39.8 years among cassava farmers with a mean family size of 8 members and an average farm size of 3.7ha. Inputs identified in cassava production are; herbicide (65%), hired labour (50.8%), pesticide (21.7%), organic manure (38.3%), fertilizer (29.2%) and improved cassava cuttings (22.5%). The parameters of the production function were estimated by the maximum likelihood method using the computer program frontier. Results indicated that farm size (β = 75862.79), cassava cuttings (β = 63.4853), and labour (β = 409.4048) significantly influenced the output of cassava farmers at 5% level of significance. Furthermore, age (β = -.9921587), household size (β = -10.52704) and farming experience (β = 1.634783) significantly influenced inefficiency among cassava farmers in the area. Recommendations made to enhance the input-output relationship in cassava production include; provision of improved cassava cuttings to boost cassava production and there should be adequate farmland for cassava framers.
Adegeye, A. J. and Dittoh, J. S. (2015), Essentials of Agricultural Economics, revised version.
Agricultural Research Council, ARC (2019). Cassava Production and its Importance to the World: https://www.arc.agric.za/arc-iic/Pages/Cassava.aspx
Audu, S. I., Otiolaiye, J. O and Ibitoye, S. J. (2011). A Stochastic Frontier Approach to Measurement of Cost Efficiency in Small Scale Cassava Production in Kogi State. Department of Agricultural Economics and Extension, Faculty of Agric, Kogi State University, Anyigba, Kogi State, Nigeria.
Bamidele, F.S., Babatunde, R.O. and Rasheed, A. (2008). Productivity Analysis of Cassava- Based Production Systems in the Guinea Savannah: Case Study of Kwara State, Nigeria. American-Eurasian Journal of Scientific Research 3(1): 33-39.
Ebukiba, E. (2010). Economic analysis of cassava production (farming) in AkwaIbom State. Agriculture and Biology Journal Of North America. 1(4): 612-614
Evangeline N. M. (2013). Analysis of use of improved cassava production technologies among farmers in Anambra State, Nigeria. Wudpecker Journal of Agricultural Research, 2(12): 335 – 341.
FAO. (2016). FAO STAT database. Online: https://faostats.fao.org
FAO. (2017). FAO STAT database. Online: https://faostats.fao.org
Idiong, I. C. (2007) Estimation of farm level technical efficiency in small scale swamp rice production in Cross River State of Nigeria: A stochastic frontier approach. World Journal of Agricultural Sciences 3 (5); 653 – 658.
KADP. (2011). Kogi State ADP Annual report.Lokoja Planning, Monitoring and Evaluation Department. Pp.15
Okoh, M.A..(2016). Analysis of Profitability and Resource Use Efficiency on Cassava Farming in Benue State, Nigeria. M. Sc. Dissertation, Ahmadu Bello University Zaria, Nigeria.
Onogu L. E. (2018), Assessment of Post-Harvest Loss of Selected Vegetable in the Agricultural Zones of Kogi State, Nigeria. B.Sc. Project, unpublished. Department of Agricultural Economics and Extension, Faculty of Agriculture, Kogi State University.
Orebiyi, J., Eze, C., Henri-Ukoha, A., Akubude, F., Ibitoye, S. (2011). Demand for Institutional Credit from the Nacrdb by Small Scale Farmers in Imo State, Nigeria.International Journal of Agricultural Science, Research and Technology (IJASRT) in Extension and Education Systems, 1(2): 83-87. http://ijasrt.iau-Shoushtar.ac.ir/article_517747_f3f14b3abc866caa682a7984af91894c.pdf
Rahman, K.M.M., Mia, M.I. and Alam, M.A. (2012), Farm-Size Specific Technical Efficiency. A Stochastice Frontier Analysis for Rice Growers in Bangladesh. Bangladesh Journal of Agricultural Economics , ‘1&2:131-142.
Todaro M.P (1992), Economic Development in the Third World; 4th Edition, New York, longman publishers.
