Adoption of agricultural innovations as a two-stage partial observability process
By Efthalia Dimara, Dimitris Skuras. 2003
188 citations recorded by the source corpus.
In this paper, we reconsider the appropriateness of certain statistical analyses in innovation adoption studies and suggest that partial observability models may sometimes be more useful. The proposed models allow for a flexible specification of the process of adoption from one stage to two stages, facilitate the modelling of non-adopters and remedy the violation of the assumption of full information. An application to the adoption of organic cultivation in Greece demonstrates the relative merits of the proposed analysis. © 2003 Elsevier Science B.V. All rights reserved.
Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Plant Science
View Paper: https://www.semanticscholar.org/paper/09d445409b77af8f45b0903390806f4ba40310f2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In General Agricultural and Biological Sciences
- M. Demont
- C. Y. Tizale
- Alisher Mirzabaev
- A. Diagne
- Camilla Andersson
- Oliver Kiptoo Kirui
- M. Wollni
- M. Qaim
In Plant Science
- C. Y. Tizale
- Alisher Mirzabaev
- M. Demont
- A. Diagne
- Camilla Andersson
- Oliver Kiptoo Kirui
- M. Wollni
- M. Qaim
Citations in the corpus
- The dynamics of soil degradation and incentives for optimal management in the Central Highlands of Ethiopia (2007, methodology): “However, the full information assumption is often violated and hence analysis of the adoption decision using logit, probit and Tobit models may suffer from model misspecification (Dimara and Skuras, 2003).”
- Incentives and policies for integrated pest management in Europe: a review (2014, unknown): “Persistent barriers to the adoption of new farming practices include, amongst other factors, limited availability of and access to production and market information (Atanu et al. 1994; Lohr and Salomonsson 2000; Dimara and Skuras 2003).”
- Taking a new look at empirical models of adoption: average treatment effect estimation of adoption rates and their determinants (2007, methodology): “Case (1993) Saha et. al., (1994) and Dimara and Skuras (2003) .”
- Spatial patterns of organic agriculture adoption: Evidence from Honduras (2014, result): “This is in accordance with previous adoption studies of organic practices, which have found positive effects of market access on adoption (Dimara and Skuras, 2003; Koesling et al., 2008).”
- Economics of land degradation in Eastern Africa (2014, methodology): “…(Fufa & Hassan, 2003), use a partial observability model to capture the varied access to information and levels of awareness of the new technology (Dimara & Skuras, 2003), use of a double hurdle model to capture the sequential decisions and multiple stages in investing in SLM (Gabremedhin &…”