Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu www.cedlas.econo.unlp.edu.ar 1 Terms of use: Documents in AbstractThis study develops a linked regional computable general equilibrium and micro-simulation (RCGE-MS) model to assess the regional economy-wide and poverty impacts of a US$36 million investment in tourism in the south of Haiti. The first social accounting matrix for Haiti with a base year of 2012/2013 was constructed to calibrate the model. This research addresses three key gaps identified in the tourism impact assessment literature. First, a destination-specific tourism demand and value chain analysis was used to calibrate the shocks implemented in the model. Second, the RCGE-MS approach moves beyond the representative household configuration to enable more robust analysis of tourism investment impacts on poverty and income inequality. Third, results of this modelling were used to inform a social cost-benefit analysis to provide greater transparency in the evaluation of trade-offs between investment alternatives. Considering the investment and projected tourism demand, results show a positive impact on sectoral activity, especially for the hotel and restaurant sector (182.1% in 2040). The investment leads to a 2.0% increase in Gross Regional Product in 2040 compared with the baseline. The South Department's exports are 4.7% below baseline in 2040 and imports are 6.1% higher due to the inflow of foreign exchange and the consequent appreciation of the regional real exchange rate, increased demand for most goods and services, and limited regional productive capacity. The rate of unemployment falls, beginning at 26% in 2013 and ending at 23.4% by 2040. The investment helps lift some of the poorest in the Haiti's South out of poverty, reducing the poverty headcount by 1.6 percentage points. Driving this result is an increase in employment, the average wage and non-labor income. The linked RCGE-MS approach proves to be a powerful tool for assessing how tourism investments affect regional economic activity and revealing the mechanisms through which tourism can contribute to increase employment opportunities and reduce poverty.

Economy-wide models such as computable general equilibrium (CGE) models are powerful tools that provide insights on policy impacts on standard economic indicators. With the recent publication of the System of Environmental-Economic Accounting (SEEA), the power of this approach is amplified. This article addresses an important gap in economy-wide policy modeling applications and literature by developing a conceptual framework for the integration of the SEEA in the CGE framework, enabling for the first time the analysis of policy impacts on the economy and the environment in a quantitative, comprehensive, and consistent framework. Previous integrated modeling efforts have generally focused on the interaction between the economy and one environmental resource in isolation, requiring significant data reconciliation. Integration of SEEA into a CGE circumvents this resource intense process, enhancing analytical power, obviating the need for strong assumptions in reconciling economic–environmental data, reducing start-up costs, and increasing the timeliness of evidence-based policy advice.

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Rwanda's Nyungwe National Park is a biodiversity hotspot with the most endemic species in the ecoregion as well as the highest number of threatened species internationally. In addition to great biological diversity, Nyungwe National Park supplies significant ecosystem services to the Rwandan population including water provisioning and tourism services. Tourism in the Park has strong potential for improving the sustainable management of the Park for continued provision of natural habitat and critical ecosystem services. This paper explores quantitatively the economic impacts of adjustment in Park visitation fees and tourism demand as a source of revenues to improve Park tourism opportunities and ongoing operations and maintenance where budgetary restrictions are particularly acute. The methods developed in this paper are novel in integrating the results of stated preference techniques with regional economy-wide modelling approaches to capture multi-sectoral, direct, indirect and induced impacts. Such methods have strong potential for assessing revenue generation alternatives in other contexts where Park Managers are faced with the need to generate additional revenue for sustainable park management while facing diminishing budget allocations.