Determinants of Adoption of Improved Cocoa Technologies in Ekiti State, Nigeria
Julius Olumide Ilesanmi,
Jimoh Atanda Afolabi
Issue:
Volume 5, Issue 2, March 2020
Pages:
36-42
Received:
28 February 2020
Accepted:
17 March 2020
Published:
1 April 2020
Abstract: The study investigated the determinants of adoption of improved cocoa technologies in Ekiti State, Nigeria. Specifically, it examined the socio economic characteristics of the cocoa farmers in the study area; identified the various technologies practiced by cocoa farmers in the study area and determined the intensity of adoption of improved technologies. A multi-stage sampling technique was used to select eighty (80) respondents in four (4) local government areas namely: Ise/Orun LGA, Irepodun Ifelodun LGA, Oye LGA and Ekiti South-West LGA; which were predominated with cocoa farmers. Tobit model was used to examine the determinants and intensity of adoption of improved cocoa technologies. At 5% level of significance, variables that positively and significantly influence adoption of improved cocoa technologies include sex, level of education, source of information and visit by the extension agents; meaning they were important in the adoption of improved cocoa technologies and raises the probability of adoption by 9.14, 2.97, 2.98 and 3.94%. The age of the cocoa farmers; family size and the farm size were not significant and have negative coefficients meaning increase in these factors will reduce the likelihood of cocoa farmers adopting the improved techniques. Result of budgeting analysis implies a better performance of the adopters of improved cocoa technologies whereby the benefit cost ratio for the adopters and non-adopters of improved cocoa technologies were 3.50 and 1.26 respectively.
Abstract: The study investigated the determinants of adoption of improved cocoa technologies in Ekiti State, Nigeria. Specifically, it examined the socio economic characteristics of the cocoa farmers in the study area; identified the various technologies practiced by cocoa farmers in the study area and determined the intensity of adoption of improved technol...
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A Bayesian Approach to Evaluating the Dynamics of Rice Production in Madagascar
Finaritra Solomampionona Maminirivo,
Koki Kyo
Issue:
Volume 5, Issue 2, March 2020
Pages:
43-48
Received:
25 February 2020
Accepted:
17 March 2020
Published:
28 April 2020
Abstract: In Madagascar, domestic rice production does not meet the local demand. Thus, increasing productivity is crucial for ensuring food security for a booming population. The last two decades have been marked by technological improvements in support of a vision of agricultural development. The main objective of the present study is to evaluate rice productivity in Madagascar based on changes in technology and the planted area during the period from 1961 to 2017. To conduct our analysis, we construct a set of statistical models involving time-varying parameters that capture the changes in productivity and progress in rice production technology. To estimate these time-varying parameters, we apply Bayesian methods based on the smoothness prior approach. The estimates for variances in system noise show that the proposed model is well fitted to the data. In addition, the results provide the interesting finding that technological change is estimated to be elastic, with values increasing from 1 to 8 during the six decades of the study period. However, the planted area estimates are inelastic, despite positive values fluctuating around 0.9–1. Thus, rice productivity in Madagascar is highly dependent on technology, although more time is required before a positive response is seen.
Abstract: In Madagascar, domestic rice production does not meet the local demand. Thus, increasing productivity is crucial for ensuring food security for a booming population. The last two decades have been marked by technological improvements in support of a vision of agricultural development. The main objective of the present study is to evaluate rice prod...
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