Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/261535 
Year of Publication: 
2019
Citation: 
[Journal:] Journal of Economic Structures [ISSN:] 2193-2409 [Volume:] 8 [Issue:] 32 [Publisher:] Springer [Place:] Heidelberg [Year:] 2019 [Pages:] 1-14
Publisher: 
Springer, Heidelberg
Abstract: 
Zai is a conventional soil rehabilitation management practice where organic matter is buried in a small pit to help restore fertility and conserve water in the soil. However, adoption of this environmentally-friendly technology is low. This study makes two key contributions. First, it identifies the determinants of adoption and intensity of adoption of Zai technology for soil fertility management. Second, it performs diagnostic tests to show that Cragg's double-hurdle as compared to the Heckman and the standard Tobit regression models is the best econometric approach to identify factors influencing farmers' decision to adopt and the extent of adoption of the Zai in the Upper East region, Ghana. Results from the Cragg's double-hurdle model revealed that different set of variables affect the probability and the intensity of adoption of Zai technology. The paper concludes that farm households should be encouraged to engage in non-farm economic activities to complement their farm income and enhance the purchase of productive farm inputs. Moreover, farm-level policies oriented towards increasing access to agricultural extension services, credit facilities, and the facilitation of farmer groups are essential to improving the adoption of farm innovations such as the Zai technology.
Subjects: 
Adoption
Double-hurdle model
Heckman two-stage model
Intensity of adoption
Zai technology
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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