Adoption of Climate Smart Agricultural Technologies among Smallholder Farmers in Semi-Arid Ghana

Odoom, Ekua S.; Afful, Rose; Mensah, Adelina; Nukpezah, Daniel; Shaibu, Mohammed T.; Sibanda, Darlington

doi:10.5539/jsd.v16n3p89

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Almost same order of importance of the problems was reported in a study conducted for examining the problems faced by farmers in adoption of improved technologies [6]. A study in Ghana among small farm holders showed similar result [9]. The financial constraints like lack of required finance and high cost of inputs comes out as major limitations in adaptation of crop-livestock integrated system at Madhya Pradesh [10].…”

Section: Resultsmentioning

confidence: 53%

Perceived Barriers to the Adoption of Climate Smart Adaptive Livelihood Technology by the Farmers in Flood Prone Areas of Assam

Borah,

Gogoi,

Rahman

2024

IJECC

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Flood is an annual major natural disaster of Assam. It causes a huge loss to human, animal, crop, infrastructures and natural resources. Since agriculture is the prime source of livelihood and majority of inhabitants resides in rural areas, the impact of flood has a vital role in the living conditions of Assam’s population. In the present study different kinds of barriers were identified which found to create resistance in the resilience building by the farmers in the studied area. Here the Garrett’s ranking technique was used to rank the barriers associated with the resilience building by the farmers in the study area. The problem of limited skills upon climate smart adaptive livelihood technology (CSALT) got the highest mean score of 65.55 and ranked 1st among all the identified problems. However, the last rank was given to the problem of limited resources with farmers to invest in CSALT having mean score 44.44. It was seen that after the extension problem the other key problems in descending order of value were economic problem such as unavailability of quality seeds and planting materials at right time, unavailability of labour in vital period of farming, in addition to which higher wage and lack of post harvest technologies and marketing facilities were also observed along with communication and information problems and socio-personal problem. Moreover reluctance to take up new project due to deprived risk taking ability, lack of awareness and skill on advanced farming technologies, lack of interest in cultivation due to poor return in short term with poor educational status of the farmers were some of the observed barriers.

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Section: Resultsmentioning

confidence: 53%

Perceived Barriers to the Adoption of Climate Smart Adaptive Livelihood Technology by the Farmers in Flood Prone Areas of Assam

Borah,

Gogoi,

Rahman

2024

IJECC

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Multivariate Probit Modeling of Climate-Smart Adaptation Choices Among Farmers in Sub-Saharan Africa: Ghanaian Study of Cocoa Farmers

INKOOM,

DADZIE

2024

Clim. Change Econ.

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Climate change and variability pose significant challenges to cocoa production in many sub-Saharan African countries, and Ghana is no exception. Therefore, knowledge of how farmers react to climate change and its variability effects is crucial in developing policies and programs to guide the design and implementation of effective climate-smart adaptation strategies at the farm level in Africa. This study aims to examine climate-smart adaptation choices cocoa farmers make as coping strategies for climate change and variability in Ghana using a multivariate probit modeling approach. Following a multistage sampling procedure, primary data was collected from 720 cocoa farmers across the major cocoa-growing regions in Ghana. The study found major adaptation choices for cocoa farmers to include improved and resistant varieties, optimal fertilizer application, optimal pesticide application, adjusting planting/harvesting dates, shade tree management, crop diversification, non-crop diversification, and off-farm economic diversification. We further observed that farmers’ adaptation choices were significantly influenced by climate change and adaptation-related variables such as rainfall variability index, temperature variability index, climate change impact perception index, and CSA awareness as well as agroclimatic zone effects. Concerning the influence of farmer and farm-specific variables, the study identifies that sex, age, education, farm size, quality of extension services delivery, access to credit, and membership in farmer groups were significant predictors of farmers’ CSA decision choices. This study offers beneficial insights for policymakers and stakeholders on how to promote climate-smart adaptation methods among cocoa farmers in Ghana.

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Adoption of Climate Smart Agricultural Technologies among Smallholder Farmers in Semi-Arid Ghana

Cited by 2 publications

References 26 publications

Perceived Barriers to the Adoption of Climate Smart Adaptive Livelihood Technology by the Farmers in Flood Prone Areas of Assam

Perceived Barriers to the Adoption of Climate Smart Adaptive Livelihood Technology by the Farmers in Flood Prone Areas of Assam

Multivariate Probit Modeling of Climate-Smart Adaptation Choices Among Farmers in Sub-Saharan Africa: Ghanaian Study of Cocoa Farmers

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