Onil Banerjee
Inter-American Development Bank
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Featured researches published by Onil Banerjee.
The Journal of Environment & Development | 2016
Onil Banerjee; Martin Cicowiez; Mark Horridge; Renato Vargas
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.
Climate Change Economics | 2015
Onil Banerjee; Moogdho Mahzab; Selim Raihan; Nabiul Islam
Bangladesh is one of the most vulnerable countries to climate change (CC) with higher temperatures reducing crop yields and sea level rise decreasing arable land supply. The Government of Bangladesh aspires to offer its people a comparable standard of living to that of middle-income countries by 2021. Bangladeshs population will reach 247 million by 2050 and GDP is projected to grow annually by 7.9%. With increasing population density, greater demand for resources, and CC impacts, adaptation and mitigation strategies will be required for agricultural output to meet growing food demand. We develop a dynamic computable general equilibrium model linked with a food security module to explore CC impacts on agriculture and food security. Although CC impacts had a relatively small effect on GDP, reducing it by
Documentos de Trabajo del CEDLAS | 2017
Onil Banerjee; Martin Cicowiez; Adela Moreda
29,925 million Taka (-0.11%) by 2030, agricultural sector impacts were felt more acutely, reducing output by -1.23%, increasing imports by 1.52%, and reducing total caloric consumption by 17%, with some households remaining underfed due to inequitable food distribution. Evidence generated here can guide policy to ensure economic growth contributes to meeting national development and food security targets.
Archive | 2015
Onil Banerjee; Martin Cicowiez; Sebastien Gachot
There is a debate in the literature on the appropriate methods and metrics for evaluating the economic impacts of tourism investments. Available analytical techniques include input-output modelling, computable general equilibrium modelling, cost benefit analysis, expenditure-based methods, and others. Metrics of benefits often include indicators such as gross regional product, household income and measures of welfare, while the choice of appropriate metrics will in part be conditioned by from whose perspective the analysis is undertaken. In this paper, we capitalize on the strengths of general equilibrium and cost benefit analytical techniques and develop an integrated approach to evaluating public investments in tourism. We apply the approach to the evaluation of a US
Review of Development Economics | 2018
Martin Cicowiez; Onil Banerjee; Emily Morris
6.25 million tourism investment in Uruguay from the perspective of a multi-lateral development bank and the beneficiary government. The approach developed here is powerful in that it captures first and subsequent rounds of investment impacts both on the benefits and costs side; resource diversion and constraints are accounted for, and; the estimation of benefits is consistent with the welfare economics underpinnings of cost benefit analysis.
Journal of Sustainable Tourism | 2018
Onil Banerjee; Martin Cicowiez; Thomas O. Ochuodho; Michel Masozera; Bernabas Wolde; Pankaj Lal; Sebastian Dudek; Janaki Alavalapati
This 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
Agricultural Systems | 2018
Yiheyis Maru; Ashley Sparrow; James Butler; Onil Banerjee; Ray Ison; Andy Hall; Peter Carberry
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. Results of this analysis showed a positive impact on sectoral activity, especially for the hotel and restaurant sector (182.1% in 2040) and a 2.0% increase in Gross Regional Product by 2040. The Souths exports fell 4.7% below baseline and imports were 6.1% higher due to the inflow of foreign exchange, the appreciation of the regional real exchange rate, increased demand for most goods and services, and limited regional productive capacity. The rate of unemployment fell from 26% to 23%. The investment helped lift some of the region?s poorest out of poverty, reducing the poverty headcount by 1.6 percentage points. Driving this result was an increase in employment, wages 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 increased employment opportunities and poverty reduction.
Archive | 2017
Onil Banerjee; Martin Cicowiez; Mark Horridge; Renato Vargas
In this study we develop an evidence-based tool to help to guide policy and investment choices, to maximize developmental returns from tourism. Specifically, we develop a tourism-extended social accounting matrix and computable general equilibrium and microsimulation models customized for tourism investment analysis. To demonstrate the approach, we develop these data structures for Belize, at both national and regional levels. The framework developed herein can be used to quantify the direct and indirect, and short- and long-run impacts of tourism investments. Anticipating application of the approach to tourism investment analysis in the Central American Region, we provide a stock take of the availability of data to develop a similar suite of models for other countries in the region.
Archive | 2016
Onil Banerjee; Kevin J. Boyle; Cassandra Rogers; Janice Cumberbatch; Barbara Kanninen; Michele H. Lemay; Maja Schling
ABSTRACT Rwandas Nyungwe National Park is a biodiversity hotspot with the most endemic species in the ecoregion and the highest number of threatened species internationally. Nyungwe supplies critical ecosystem services to the Rwandan population including water provisioning and tourism services. Tourism in the Park has strong potential for financing enhanced visitor experiences and the sustainable management of the Park. 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. The methods developed in this paper are novel in integrating the results of stated preference techniques with a regional computable general equilibrium modelling approach to capture multisectoral, 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. Results of this analysis demonstrate that adjustment of Park fees has a relatively small impact on the regional economy and well-being when compared with a strategy aimed at generating increased tourism demand through investment in improving the visitor experience at Nyungwe National Park.
Tourism Management | 2015
Onil Banerjee; Martin Cicowiez; Sebastien Gachot
Abstract Food insecurity persists in many parts of Africa and Asia, despite ongoing agricultural research for development (AR4D) interventions. This is resulting in a growing demand for alternative approaches to designing and evaluating interventions in complex systems. Theory of Change (ToC) is an approach which may be useful because it enables stakeholders to present and test their theories and assumptions about why and how impact may occur, ideally within an environment conducive to iterative reflection and learning. However, ToC is yet to be appropriately mainstreamed into development by donors, researchers and practitioners. We carried out a literature review, triangulated by interviews with 26 experts in African and Asian food security, consisting of researchers, advisors to programs, and donors. Although 17 (65%) of the experts had adopted ToC, their responses and the literature revealed four challenges to mainstreaming: (i) different interpretations of ToC; (ii) incoherence in relationships among the constituent concepts of ToC; (iii) confused relationships between ToC and project “logframes”; and (iv) limitations in necessary skills and commitment for enacting ToC. A case study of the evolution of a ToC in a West African AR4D project over 4 years which exemplified these challenges is presented. Five recommendations arise to assist the mainstreaming of ToC: (i) select a type of ToC suited to the relative complexity of the problem and focal system of interest; (ii) state a theory or hypotheses to be tested as the intervention progresses; (iii) articulate the relationship between the ToC and parallel approaches (e.g. logframe); (iv) accept that a ToC is a process, and (v) allow time and resources for implementers and researchers to develop ToC thinking within projects. Finally, we suggest that communities of practice should be established among AR4D and donor organisations to test, evaluate and improve the contribution that ToCs can make to sustainable food security and agricultural development.