11.[1-13]Adoption of Modern Agricultural Production Technologies by Farm Households in Ghana (original) (raw)
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Journal of Biology Agriculture and Healthcare, 2012
Low adoption of modern agricultural production technologies amongst farmers in Ghana has been identified as one of the main reasons for the low agricultural productivity in the country. This paper examines the factors that influence farm households' modern agricultural production technology adoption decisions in Ghana. Household questionnaires were administered to 300 farmers the Bawku West District of Ghana; and the logit model was estimated to ascertain the factors. The results showed that farm size, expected benefits from technology adoption, access to credit and extension services are the factors that significantly influence technology adoption decisions of farm households in the study area. It is concluded that farm households' agricultural technology adoption decisions depends on their socioeconomic circumstances and institutional effectiveness. We recommend that policies should be formulated to take advantage of the factors that positively influence farmers' adoption of modern agricultural production technologies and to mitigate the negative ones.
11.Adoption of Modern Agricultural Production Technologies by Farm Households in Ghana
Low adoption of modern agricultural production technologies amongst farmers in Ghana has been identified as one of the main reasons for the low agricultural productivity in the country. This paper examines the factors that influence farm households' modern agricultural production technology adoption decisions in Ghana. Household questionnaires were administered to 300 farmers the Bawku West District of Ghana; and the logit model was estimated to ascertain the factors. The results showed that farm size, expected benefits from technology adoption, access to credit and extension services are the factors that significantly influence technology adoption decisions of farm households in the study area. It is concluded that farm households' agricultural technology adoption decisions depends on their socio-economic circumstances and institutional effectiveness. We recommend that policies should be formulated to take advantage of the factors that positively influence farmers' adoption of modern agricultural production technologies and to mitigate the negative ones.
Farm Technology Adoption by Smallholder Farmers in Ghana
Review of Agricultural and Applied Economics, 2018
Technology adoption by smallholder farmers is a key strategy to improve agricultural sustainability and productivity in developing countries. This study therefore investigated the factors influencing adoption of agricultural mechanisation and improved varieties by rice farmers in northern Ghana. A bivariate probit model was used to analyse the determinants of farmers’ joint adoption decisions. The results indicated that the age and gender of the household head, the degree of specialisation in production, household size, and location of the farm were significantly associated with farmers’ joint adoption decision. Furthermore, farm size, extension visits, herd ownership and the production system were significant factors in farm mechanisation adoption but not the adoption of improved rice varieties. The study concludes that several individual and household characteristics interplay to influence smallholders’ joint adoption decisions. Hence, efforts to improve rice production in Ghana a...
FACTORS INFLUENCING TECHNOLOGY ADOPTION BY TRADITIONAL AFRICAN VEGETABLE FARMERS IN NORTHERN GHANA
UDS International Journal of Development , 2021
The production of traditional African vegetables is an age-old tradition among the people of the northern region of Ghana. However, the knowledge base of traditional African vegetable production remains local due to a lack of research and policy support. Therefore, the adoption of improved technology among traditional vegetable farmers is generally low and impedes efforts to promote widespread cultivation, consumption and even commercialisation. This study aims at clarifying potential factors that determine the adoption of technologies by traditional African vegetable farmers in the northern region of Ghana. One hundred and five (105) respondents in five communities and across two administrative districts in the northern region were selected for an in-depth survey using a combination of quantitative and qualitative data collection methods. In addition, a logit regression was used to determine the effect of various factors on technology adoption by farmers. Among the factors, the educational level of a farmer, access to credit, farm size, experience in farming and access to extension support were found to be important factors affecting the decision of traditional African vegetable farmers to adopt improved technology. The results of this study can help enhance the effectiveness of policy reorientation towards a more effective commercialisation of traditional African vegetables in Ghana and elsewhere.
2020
The study examined factors influencing adoption of improved agricultural technologies (IATs) among smallholder farmers in rural communities of Kaduna State.The study was conducted in Giwa and Sabon-gari Local Government Areas. Three objectives guided the study. The study adopted a descriptive research design. Purposive sampling technique was employed to select the farming communities for the study. Two rural communities (Bassawa and Shika) were purposely selected out of 16 villages primarily because of their age-long agricultural technologies. The sample size of the study was 200 smallholder farmers made up of 100 farmers from each of the communities which were purposively selected. Primary data were collected using a structured interview schedule, focus group discussion and in-depth interview while the secondary data which relate to the objectives of the study were collected from the office of the Kaduna State Agricultural Development Project (ADP) and National Agricultural Extension and Research Liaison Services (NAERLS), ABU, Zaria. Data were analyzed using frequency and percentages. Results from the findings of the study revealed a positive significant (p<0.05) influence on adoption of agricultural technology and farmers' educational levels, gender and age also had a positive significant influence on the adoption of technology. Therefore, the following recommendations were made: there is need to increase farmers' capital and credit facilities and make funds accessible to the farmers. Also, it is therefore imperative for Government to ensure that policies that support the adoption of improved agricultural technologies are put in place.
Review of Agricultural and Applied Economics, 2018
Improved rice production techniques are being promoted in Ghana as a way of enhancing sustainable productivity among farmers. Despite the important role that the adoption of improved rice production technologies plays in improving output, very few studies, especially in the context of Northern Ghana, have been conducted to analyse the factors influencing their intensive adoption. In this study, we compared the results of negative binomial, Poisson and zero inflated Poisson (ZIP) models to analyse the determinants of intensity of adoption of improved rice production techniques, using primary data collected from 543 rice farmers in the Upper East and Northern regions of Ghana. Based on model diagnostics, we accept the results of the ZIP model. The empirical results confirm the relevance of technology demonstration fields, farmers' experience, training, and sex of the farmer in enhancing and sustaining the adoption of improved agricultural technologies. Household extension method, research and extension, and farm size should also be considered in promoting the adoption of improved practices among rice farmers since these covariates had significant relationship with the intensity of adopting improved agricultural technologies.
This study analyzed factors affecting modern agricultural technology adoption by farmers and the impact of technology adoption decision on the welfare of households in the study area. The data used for the study were obtained from 145 randomly selected sample households in the study area. Binary logit model was employed to analyze the determinants of farmers' decisions to adopt modern technologies. Moreover, the average effect of adoption on household incomes and expenditure were estimated by using propensity score matching method. The result of the logistic regression showed that household heads' education level, farm size, credit accessibility, perception of farmers about cost of the inputs and off-farm income positively and significantly affected the farm households' adoption decision; while family size affected their decision negatively and significantly. The result of the propensity score matching estimation showed that the average income and consumption expenditure of adopters are greater than that of non-adopters. Based on these findings it is recommended that the zonal and the woreda leaders extension agents farm and education experts, policy makers and other development oriented organizations have to plan in such a way that the farm households in the study area will obtain sufficient education, credit accessibilities and also have to train farmers to make them understand the benefits obtained from adopting the new technologies. These bodies have also to arrange policy issues that improve farm labour participation of household members and also to arrange the ways in which farmers obtain means of income outside farming activities.
Cogent Economics & Finance, 2022
His research interest includes Effect, Impact and effectiveness of policies, poverty, food security, technology adoption, and agricultural innovations and extensions, and agricultural productivity. Abebaw Hailu is a lecturer at Debre Berhan university, Ethiopia. His current research interests are development issue like urban and rural development, microeconomic and macroeconomics. In our country Ethiopia, where agriculture is at the heart of the economy. This study tried to examine the determinants of multiple agricultural technology adoption so as to raise the productivity of the agricultural sector. The result reveals that educational level, family size, off-farm participation, livestock, extension contact, credit access, advisory service, and farmers closer to plot, all-weather road, zonal town, and farmers with lower remittance income are the determinants of multiple agricultural technology adoption in Amhara Region.
Technology Adoption and Output Difference Among Groundnut Farmers in Northern Ghana
The European Journal of Development Research
Adoption of improved groundnut production technologies is an important avenue for increasing productivity and improving the living standard of farmers. This study seeks to analyze technology adoption and output difference among groundnut farmers in Northern Ghana. The study used primary and cross-sectional data from 250 groundnut farmers. The Probit regression model and t test were used to analyze the objectives of this study. Results of the study reveals that while household size, distance to district capital, farmer-based organization, and access to credit significantly affects adoption of improved groundnut varieties (IGV), only household size and distance to district capital affected the adoption of agrochemical in production. Also, apart from extension and education which affect adoption of mobile phone, factors such as sex, marital status, distance to district capital, household size, farmer-based organization (FBO), and access to credit significantly influenced the adoption of mechanization and mobile phone, respectively. The study revealed that the average output level of adopters of these improved groundnut technologies was relatively higher than non-adopters. The study recommends that projects/programs and policies related to the introduction and dissemination of improved groundnut production technologies in northern Ghana should draw lessons from studies like this to ensure improved technology uptake. Keywords Adoption • Groundnut technology • Productivity • Probit model • Northern Ghana Résumé L'adoption des techniques de production améliorés des arachides est un moyen important pour augmenter la productivité et améliorer le niveau de vie des agriculteurs. Cet étude cherche à analyser l'adoption de la technologie et les écarts de production parmi les agriculteurs d'arachides au nord du Ghana. L'étude utilise des donnés pri
This study investigated the factors affecting Agriculture technological adoption to the maize production in Iringa District. Specific objectives were; to find out the role of extension services to the adoption of agricultural technologies for the maize production, Toa determine the effect of price of agricultural inputs and outputs in the technological adoption and to find out the level of impact of inputs distribution on the adoption of agricultural technologies. The study was conducted in Iringa District specifically in Kalenga Division, by which cluster sampling was used to divide wards and hence villages. 125 household respondents were randomly selected while 10 were purposively interviewed and Cross sectional data were captured. Both questionnaire and interview methods were used to capture the data from the respondents while Documentary review was used to complement other methods. The data obtained from the field were primarily subjected to analysis using inferential statistics to test hypotheses (null hypothesis was rejected) and little with content analysis. The results of a Binary Probit model showed that extension services are positive and statistically significant related to the adoption of agricultural technologies with a p- value of 0.025. This implies that farmers with access to extension services/trainings increase the chance of adopting agriculture technology. The researcher ran further Binary Probit regression whereby being a member of agriculture community showed great influence on the adoption of agriculture technology with a p-value of 0.002. Also status income of the household and the amount of harvested maize showed influence on the adoption with a p- values of 0.036 and 0.006(-0.741 coeffic). Age and sex showed negative coefficient sign and statistically insignificant which means that they don’t have relation with the adoption of agricultural technologies. The study thus recommends that, the government should make reforms on DADP to let the extension officers operate their services to every farmer and not limited to groups/community so as to encourage more adoption of agriculture technology.