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dc.date.accessioned 2016-03-16T14:18:25Z
dc.date.available 2016-03-16T14:18:25Z
dc.date.issued 2016-02
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/51684
dc.description.abstract Ex-ante economic impact analyses are required to demonstrate the development impact and economic viability of loans and grants extended by multi-lateral development banks. These assessments are performed under tight time constraints and often in data poor environments. This paper develops a framework for assessing development interventions in data poor environments and applies it to the analysis of the Sustainable Tourism Program, a US$15 million loan from the Inter-American Development Bank to the Government of Belize to foster tourism development in emerging destinations and enhance participation of low income people in the tourism value chain. This paper contributes to the literature in two critical ways: (i) the paper develops a generalizable approach to building dynamic computable general equilibrium models for development policy analysis in data poor environments; (ii) realistic expectations of agent behavioral responses to development interventions are required to calibrate model simulations. To estimate business as usual tourism arrivals and expenditure, auto-regressive integrated moving average methods were used. To estimate agent response to the development intervention, a survey-based quasi-contingent valuation approach was employed. These projections and information on investment structuring and costs were used to calibrate the model shocks. Results of this analysis show that the proposed investment will have positive impacts on Belize’s economy by hastening economic growth. Gross domestic product increases 3% by 2040 and unemployment falls from 12% to 10%. Cross validating with a break-even scenario confirms that the Government of Belize would recover all investment costs even if actual agent demand response were considerably less than forecast. The model developed here may be applied to the ex-ante economic analysis of other sectoral development interventions ranging from agricultural policy to fiscal policy, from integration and trade, to health and education. en
dc.language en es
dc.subject turismo es
dc.subject ex-ante economic impact analysis; tourism development; economy-wide model; auto-regressive integrated moving average; contingent valuation; data poor environment en
dc.subject Belice es
dc.subject pobreza es
dc.title Economic Assessment of Development Interventions in Data Poor Countries: An Application to Belize’s Sustainable Tourism Program es
dc.type Articulo es
sedici.identifier.uri http://cedlas.econo.unlp.edu.ar/download.php?file=archivos_upload/doc_cedlas194.pdf es
sedici.identifier.issn 1853-0168 es
sedici.creator.person Banerjee, Onil es
sedici.creator.person Cicowiez, Martín es
sedici.creator.person Cotta, Jamie es
sedici.subject.materias Ciencias Económicas es
sedici.description.fulltext true es
mods.originInfo.place Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS) es
sedici.subtype Documento de trabajo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Documentos de Trabajo del CEDLAS es
sedici.relation.journalVolumeAndIssue no. 194 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)