Vol. 9(1), pp. 19-27, 2021
ISSN: 2354-2292
Copyright ©2021, the copyright of this article is retained by the author(s)
https://gjournals.org/GJPBCS
Tutor, Science Department, Saint Catherine Senior High School, Sogakofe.
Article No.: 110921118
Type: Research
The study investigated the constraints to rice production on the Weta Irrigation Scheme in the Ketu North District of the Volta Region of Ghana. A two-stage sampling procedure was used to select a sample of 290 rice farmers from a population of 1,024. Primary data, collected from 285 respondents using structured interview schedule, were used for the study. A translog stochastic frontier production function which incorporates a model for inefficiency effects, using the Maximum Likelihood Method was employed in the analysis of the data. Results indicated that the mean technical efficiency index was estimated at 70.7 per cent which implies that the rice farmers were not fully technically efficient. Thus there was the opportunity to increase the output of rice in the study area by 29.3 per cent via efficient reallocation of available resources.
Finally, the major constraints faced by rice farmers in the study area were low purchasing price of rice, lack of government support, difficulty in accessing capital and erratic rainfall patterns. All other things being equal, if these constraints are removed or minimised rice farmers on the Weta irrigation scheme would be more efficient in production.
The study recommended among others that the Ministry of Food and Agriculture should intensify training of farmers on how to improve upon their production activities through the efficient combination of inputs by establishing demonstration farms within the vicinity of farmers.
Accepted: 13/11/2021
Published: 30/11/2021
*Corresponding Author
Francis K. Kavi
E-mail: kastro8k@ yahoo.com
Keywords:
rice production, technical efficiency, stochastic, maximum likelihood estimates, socioeconomic
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Journal Name : citation_journal : Greener Journal of Plant Breeding and Crop Science
