Toward farm-based policy analysis: concepts applied in Haiti
Material type:
ArticleLanguage: En Publication details: 1991ISSN: - 1574-0862 (Revista en electrónico)
- 0169-5150
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
| Article | CIMMYT Knowledge Center: John Woolston Library | Reprints Collection | Look under journal title (Browse shelf(Opens below)) | 1 | Available | 624571 |
Browsing CIMMYT Knowledge Center: John Woolston Library shelves, Collection: Reprints Collection Close shelf browser (Hides shelf browser)
| CIS-4074 Chapter 3. Assessment of effects on genetic diversity | CIS-4075 Polymorphism at rDNA loci in barley and its relation with climatic variables | CIS-7006 Transgenic rice evaluated for risks to marketability | Look under journal title Toward farm-based policy analysis: concepts applied in Haiti | Look under journal title Technology, production environment, and household income : assessing the regional impacts of technological change | Look under journal title Farm household-economics and the design and impact of biological research in Southern Africa | Look under journal title Developing appropriate technologies through on-farm research: |
Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0169-5150
Tables graphs, references p. 235
Many policies on the delivery of inputs or on marketing systems, credit, or extension influence the potential utilization of new technologies. Through 'farm based policy analysis' it is possible to use data generated in on farm research (OFR) to identify policy constraints to the use of new technologies, and effectuvely communicate that information to policy makers. This paper describes a tentative framework for farm-based policy analysis and suggests a sequence of five steps for the analysis: (!)identify the policy induced constraints;(2) determine the rationale behind the policy; (3) identify the decision makers to whom the results should be communicated; (4) identify solutions or policy options; and (5) communicate results to decision makers. A case of farm based policy analysis from Haiti illustrates the concepts and methods described in the first part of the paper. On-farm experiments in les Cayes, Haiti, confirmed a response to nitrogen in maize, but adoption of the recommended practice and consequent gains in productivity and income were constrained by the scarcity of urea in the local market. An analysis of local supply and potential local denabd for urea and the potential benefits of urea application was conducted, and results communicated to two target grouos of decision makers: representatives of the Ministry of Agriculture responsible for fertilizer distribution policy, and representatives of private fertilizer enterprises. These grouos responded by making larger supplies of urea available to local farmers. Adoption of the fertilizer recommendation and urea sales increased. The case demonstrates the potential value of farm-based policy analysis building upon data from OFR.
English
SEP archives|John Wiley|MIC 11558-R|1