Collaborations with enthusiastic and committed graduate students are welcomed. For more details see the wiki on Graduate Student Opportunity to Lead Research on Agricultural Productivity in Ghana
The primary objective of this project is to determine whether agricultural production shortfalls in Ghana are driven by farmer technical inefficiency, technology gaps, or a combination of both.
It compiles a series of research articles that assess farmer-specific and institutional factors, exploring how they influence technical inefficiency and the adoption of advanced agricultural technologies.
By identifying the root causes of production shortfalls, this project provides empirical evidence crucial for policy discussions aimed at enhancing agricultural productivity in contexts with limited access to new technologies.
The project utilizes farm-level data from the Ghana Living Standards Surveys (GLSS), which are population-based surveys conducted periodically, approximately every five years, in Ghana: GLSS1, GLSS2, GLSS3, GLSS4, GLSS5, GLSS6, and GLSS7
- The Meta-Stochastic Frontier (MSF) model, as introduced by Huang, Huang, & Liu (2014), is employed to capture technological heterogeneity and technical inefficiencies across farmers.
- To minimize self-selection bias and to reduce model dependency, a matching approach is also utilized where applicable (Abadie and Imbens 2006; Abadie and Imbens 2016).
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Technology and managerial performance of farm operators by age in Ghana | 🗂️⚙️
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Taking stock of gender gaps in crop production technology adoption and technical efficiency in Ghana | 🗂️⚙️
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Starchy Staples Production Shortfall in Ghana is influenced by Technical Inefficiency than by Ecological Technology Gaps | 🗂️⚙️
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Production Technology, Efficiency, and Productivity of Cereal Farms | 🗂️⚙️
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Effect of Fertilizer Subsidy on Household Level Cereal Production in Ghana | 🗂️⚙️
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Spatiotemporal Evaluation of Dry Beans and Groundnut Production Technology and Inefficiency in Ghana | 🗂️⚙️
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Vegetable Production Technical Efficiency and Technology Gaps in Ghana | 🗂️⚙️
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Nationally Representative Farm/Household Level Dataset on Crop Production in Ghana from 1987-2017 | 🗂️⚙️
- Technology Gaps Drive Inequality in Production for Farmers with Disabilities | 🗂️⚙️
- [Heterogeneous Impacts of Farmer Education on Technology Access and Technical Efficiency in Ghana]https://github.com/ftsiboe/okwaayeli/blob/main/replications/tech_inefficiency_education#heterogeneous-impacts-of-farmer-education-on-technology-access-and-technical-efficiency-in-ghana) | 🗂️⚙️
- [Digging into the Linkages Between Resource Extraction and Farm Performance]https://github.com/ftsiboe/okwaayeli/blob/main/replications/tech_inefficiency_resource_extract#digging-into-the-linkages-between-resource-extraction-and-farm-performance) | 🗂️⚙️
- Societal Peace and Cohesion Improve Farm Technology and Technical Efficiency in Ghana | 🗂️⚙️
- Financial Inclusion and Credit Impacts on Crop Production in Ghana | 🗂️⚙️
- Land Ownership Appears Neither Necessary nor Sufficient for Superior Agricultural Performance in Ghana | 🗂️⚙️
- The Association Between Income Transfers and Crop Production in Ghana | 🗂️⚙️
- The link between extension services and Farm Technology Endowment and its Efficient Use | 🗂️⚙️
The datasets and code used in this project are openly available to facilitate replication and further research. They may also be used freely for related studies. To help track the usage and impact of these resources, please inform us if you intend to use them beyond direct replication.
Constructive feedback is highly appreciated, and collaborations using the available codes and data are actively encouraged. Please reach out by sending emails to Francis Tsiboe ([email protected]).
This project did not receive any external funding.
If you find this repository useful, please star this project and cite our papers listed above.
See the LICENSE file in the repository’s root for details.
Maintained by ftsiboe