Farm Technology Adoption by Smallholder Farmers in Ghana (original) (raw)
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Ghana Journal of Development Studies, 2019
The need for practising modern techniques in rice production has become increasingly important in Ghana as the per capita cultivable land continues to shrink. This study employed a multivariate probit model to estimate the determinants of adoption of improved agricultural technologies using household data collected from 543 rice farmers in the Upper East and Northern region of Ghana. There was complementarity among all the improved rice production technologies (i.e. nursery establishment, harrowing, line planting, spacing, urea briquette, irrigation, and bunding). Among the socioeconomic variables, education, household size, experience, farm size, sex, and age of the farmer play significant roles, with differing signs across technologies. Among the institutional factors, membership of farmer-based organisation, access to research service, training and credit were significant with differing signs across the improved technologies. Location also had significant and differing influence on adoption. Also, demonstration, TV, radio, video, mobile phones, and household extension methods had significant and differing influence on the adoption of improved technologies, providing significant justification for the review
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.
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.[1-13]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.
Journal of Agricultural and Practice, 2023
Rice (Oryza sativa) is the most important food crop in the world, being a staple food for more than half of the world's population, predominantly in Asia and Africa where more than 90% of the rice is grown and consumed. The research study focused on factors affecting the rate of adoption of agricultural technology among small scale rice farmers in the study area. A simple random sampling was used to collect data from 120 respondents in which each member in the area council wards such as Dobi, Gwako,Ikwa, Paiko Tungamaje and Gwagwalada Centre has equal chance of being selected and the selection of all the members is independent of one another. The sample procedure is by the use of wellstructured questionnaire, which was administered in the study area. With the use of SPSS, a descriptive analysis of the data was performed. The study's findings indicated that few agricultural innovations are being used by rice farmers in the study area. Herbicide spraying (70.83%), fertilizer application (67.50%), pesticide use (65.0%), and 'improved seeds (60.83%) were the main agricultural technological innovations used in the research region. The cost of innovation (mean = 3.74), the lack of adoption training for farmers (mean = 3.53), the inability to acquire financing facilities (mean = 3.48) and the inadequate extension service (mean = 3.25) were the main barriers to innovation adoption among rice farmers in the study area. Farmers' demographic traits, such as gender, education level, and farm size, have an impact on the adoption of innovation. Therefore, government and pertinent organizations should encourage farmer's education on the application of new innovations, and extension agents should visit regularly and make new ideas available to farmers.
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.
Technology in Society, 2021
Ghana's agricultural sector is dominated by smallholder farmers who often face substantial challenges such as limited access to improved production inputs and technology, financial capital and extension services. These challenges jointly contribute to low agricultural productivity and hinder Ghana's ability to meet the rising demand for food caused by increasing population, urbanization, and changing dietary habits of consumers. Adoption of agricultural technologies and innovations has often been recognized as important pathways for ensuring smallholder farming systems transformation and improved agricultural productivity, food security, rural economic growth, and reduced poverty and vulnerability among smallholder farmers. This study examines the productivity and efficiency effects of improved rice technology adoption among 412 smallholder rice farmers in Northern Ghana. Using sample selection stochastic production frontier model, selection bias stemming from observable and unobservable farmer characteristics was accounted for because farmers self-select into adopting improved rice technologies. The results indicate that adopters are 24% more technically efficient than nonadopters. In addition, adoption of improved rice varieties is associated with about 76% increase in rice farmers' productivity, relative to non-adoption. Moreover, IRVs adoption is positively and significantly influenced by access to irrigation, access to credit, and farmer group membership. Farm size, fertilizer, chemicals, irrigation, and soil quality are the main positive determinants of rice productivity for both adopters and nonadopters.
Ghana Journal of Development Studies, 2019
Technology adoption is important to enhance agricultural productivity and production efficiency of smallholder farmers in developing countries where productivity and efficiency gaps remain high. Technology adoption, however, remains low among smallholders due to a myriad of factors. This study explores the effect of adoption of improved rice varieties on productivity of smallholder farmer households in northern Ghana. The study relies on farm household survey data collected in 2014 using multi-stage stratified random sampling technique. Adoption was modelled using a binary probit model while propensity score matching was used to estimate the average treatment effect of adoption on productivity. The results indicated that adoption of improved rice varieties is influenced by age, sex and years of formal education of the household head, household size, adoption of mechanization, herd size, and the location of the farm. Estimates of the average treatment effect of adoption on productivity indicated that adopters of improved rice varieties were more productive than non-adopters. The study concludes that adoption of improved varieties enhances productivity of smallholder rice farmers. The author therefore recommends public investment in developing and disseminating improved planting materials to smallholder farmers to enhance agricultural productivity, food security and rural incomes.
2016
Adoption of improved agricultural technologies is fundamental to transformation of sustainable farming system, and a driving force for increasing agricultural productivity. This study provides empirical evidence on the determinants, and the perceived effects of adoption of improved food crop technologies in Nigeria. It is a cross-sectional survey of available technologies and 1,663 farm households in Nigeria. Data were analyzed with both descriptive and inferential statistics. The findings revealed very low technology adoption index. Available food crop production technologies used by sampled respondents were assessed as effective, appropriate, readily available, affordable, durable, user and gender friendly, with requisite skill to use them. However, processing technologies such as cabinet dryer were observed as unaffordable, not durable, not gender or users friendly. Packaging machines are also not users or gender friendly; washing machine not affordable, durable and gender friend...
Journal of Agricultural Extension, 2019
The study examined the benefits of adoption of improved rice technologies among smallscale rice farmers in Kogi State, Nigeria. The specific objectives were to; describe the socioeconomic characteristics of the rice farmers, assessed farmers' level of adoption of improved rice technologies, identify the rice farmers' sources of agricultural information and source of information preferred, identify the benefits derived from adoption and identify the constraints to rice production in the area. Primary and secondary data were used for the study. Data were collected using structured questionnaire from 212 rice farmers. Data collected were analysed using descriptive statistics. Results show that 59.9% of the respondents were male, and within the ages of 40-49 years. The majority (58.0%) of the respondents were married and 60.8% of the farmers depend on extension agents for agricultural information. The improved technologies disseminated; rice production facilities, rice farming inputs, field preparation were adopted with adoption index of 0.70, 0.71 and 0.77 respectively indicating high adoption level, while processing technologies had low adoption level with adoption index of 0.37. Increased output (98.6%), acquisition of skills (91.5%), increase in income (85.5%) and expansion of farm land (72.2%) were the major benefits derived by the farmers from adoption of the technologies. The study concluded that the major benefits derived from adoption of the technologies were increased farm size, increased output and Creative Commons User License: CC BY-NC-ND