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Towards a Framework for Appropriate Conservation Agriculture Mechanization of Smallholder Rice Production in Ghana, 2022-2023
Creator
Dorvlo, S, University of Ghana
Mkandawire, E, University of Pretoria
Roelich, K, University of Leeds
Jumbe, C, Lilongwe University of Agriculture and Natural Resources
Study number / PID
857209 (UKDA)
10.5255/UKDA-SN-857209 (DOI)
Data access
Restricted
Series
Not available
Abstract
While Conservation Agriculture (CA) provides agricultural practices that offer a sustainable means to increase productivity, the drudgery in production will simply increase without effective mechanisation. This research project is formed on the premise that mapping the factors that affect farmers’ choice of machinery will aid in developing a framework for promoting gender-transformative access to and control of machinery within farming communities. Focusing on smallholder farmers in Asutsuare, a local rice production community in Ghana, who do not have fully mechanised production, the project explores the factors influencing farmers’ choice of CA-compliant machinery or a particular mechanisation model, the effect of gender norms on the choice of machinery, and how the choice of machinery influences farm productivity and sustainability. The data for this study was meticulously collected from the farmers using a mixed-method approach, including questionnaires, focus-group discussions, and key informant interviews. The Theory of Planned Behaviour was then employed to develop the ‘choice’ construct within the framework, and econometric models were used to evaluate the impact on the productivity of the smallholder farmers’ (men, women, and youth) individual machinery choices. This rigorous process ensures the reliability and validity of our findings. Given the study’s gathering of relatively sensitive data on smallholder farmers’ choices (underpinned by their attitudes and perceived norms), the emphasis is placed on ethical data management and safeguarding. The study promotes effective CA mechanisation in Ghana, advancing the United Nations' sustainable development goals and supporting national agricultural intensification targets.The Food Systems Research Network for Africa (FSNet-Africa) will strengthen food systems research and its translation into implementable interventions in support of interrelated Sustainable Development Goals related to food systems in Africa...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/11/2022 - 01/01/2023
Country
Ghana
Time dimension
Not available
Analysis unit
Individual
Organization
Family: Household family
Group
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Data collection mode
The study used mixed methods to collect qualitative and quantitative data, including demographic data, variables related to productivity, and farmers’ experiences with CA-compliant machinery use. Qualitative data was collected through focus groups and key informant interviews. Quantitative data was obtained through tested questionnaires that gathered data on production, land tenure, and the farmer's intention construct based on the Theory of Planned Behaviour.
Funding information
Grant number
ES/T015128/1
Access
Publisher
UK Data Service
Publication year
2024
Terms of data access
The UK Data Archive has granted a dissemination embargo. The embargo will end on 2 January 2025 and the data will then be available in accordance with the access level selected.