Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-23T15:48:05.759Z Has data issue: false hasContentIssue false

A second look at the pesticides initiative program: evidence from Senegal

Published online by Cambridge University Press:  06 July 2012

MELISE JAUD*
Affiliation:
The World Bank
OLIVIER CADOT*
Affiliation:
University of Lausanne, CEPR, CEPREMAP, and FERDi

Abstract

This paper investigates whether the Pesticides Initiative Program has significantly affected the export performance of Senegal's horticulture industry. We apply two main microeconometric techniques, difference-in-differences and matching difference-in-differences, to identify the effect of the Pesticides Initiative Program on exports of fresh fruits and vegetables. We use a unique firm-level dataset containing data on sales, employment, and exports by product and destination markets, as well as firm enrolment year, over 2000–2008. The results suggest that while the program had no significant effect on exports pooled over all products and destinations, it had a positive effect when considering fresh fruits and vegetables exports to the European Union.

Type
Review Article
Copyright
Copyright © Melise Jaud and Olivier Cadotd 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Angrist, Joshua D. and Alan, B. Krueger (1999), ‘Empirical Strategies in Labor Economics’, in Ashenfelter, Orley and Card, David Edward (eds.), Handbook of Labor Economics, Vol. 3A, Amsterdam: Elsevier, Chapter 23.Google Scholar
Bertrand, Marianne, Esther, Duflo, and Sendhil, Mullainathan (2004), ‘How Much Should We Trust Differences-in-Differences Estimates?’, Quarterly Journal of Economics, 119: 249275.CrossRefGoogle Scholar
Blundell, Robert and Dias, Monica Costa (2002), ‘Alternative Approaches to Evaluation in Empirical Macroeconomics’, CEMMAP Working Paper CWP10/02, Institute for Fiscal Studies.Google Scholar
Brenton, Paul and von Uexkull, Jan Erik (2009), ‘Product Specific Technical Assistance for Exports: Has It Been Effective?’, Journal of International Trade and Economic Development, 18: 235254.CrossRefGoogle Scholar
Cali, Massimiliano and te Velde, Dirk W. (2009), ‘Does Aid for Trade Really Improve Trade Performance?’, World Development, 39: 725740.CrossRefGoogle Scholar
Economic Community (2009), Making Trade Work for Development: Trade-Related Assistance – An Update, Brussels: EC Commission, DG Trade.Google Scholar
Ferro, Esteban, Portugal-Perez, Alberto, and Wilson, John S. (2011), Aid to the Services Sector: Does It Affect Manufacturing Exports?, World Bank Policy Research Working Paper 5728, Washington, DC: The World Bank.CrossRefGoogle Scholar
Gamberoni, Elisa and Richard, Newfarmer (2009), Aid for Trade: Matching Potential Demand and Supply, World Bank Policy Research Working Paper 4991, Washington, DC: The World Bank.CrossRefGoogle Scholar
Heckman, James J. (1979), ‘Sample Selection Bias as a Specification Error’, Econometrica, 47: 153161.CrossRefGoogle Scholar
Heckman, James J., Hidehiko, Ichimura, and Petra, Todd (1997), ‘Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Program’, Review of Economic Studies, 64: 605654.CrossRefGoogle Scholar
Heckman, James J., Smith, J. A., and Petra, Todd (1998), ‘Characterising Selection Bias Using Experimental Data’, Econometrica, 66: 10171098.CrossRefGoogle Scholar
Jaffee, Adam B. (2002), ‘Building Program Evaluation into the Design of Public Research Support Programs’, Oxford Review of Economic Policy, 18: 2234.CrossRefGoogle Scholar
Marcano, Luis and Ruprah, Inder J. (2009), Does Technical Assistance Matter? An Impact Evaluation Approach to Estimate its Value Added, Office of Evaluation and Oversight, Washington, DC: Inter-American Development Bank.Google Scholar
Maertens, Miet and Swinnen, Johan F. M. (2009), ‘Trade, Standards, and Poverty: Evidence from Senegal’, Journal of World Development, 37: 161178.CrossRefGoogle Scholar
Maertens, Miet, Liesbeth, Colen, and Swinnen, Johan F. M. (2011), ‘Globalization and Poverty in Senegal: A Worst Case Scenario?’, European Review of Agricultural Economics, 38: 3154.CrossRefGoogle Scholar
Nelson, Douglas and Silva, Simone J. (2008), ‘Does Aid Cause Trade? Evidence from an Asymmetric Gravity Model’, University of Nottingham Research Paper 2008/21.CrossRefGoogle Scholar
OECD (2010), How to Evaluate Aid for Trade: Approaches, Methodologies, and Processes, OECD, COM/DCD/TAD (2010) 2, Paris: OECD.Google Scholar
Osei, Robert, Oliver, Morrissey, and Tim, Lloyd (2004), ‘The Nature of Aid and Trade Relationships’, The European Journal of Development Research, 16: 354374.CrossRefGoogle Scholar
Rosenbaum, Peter and Rubin, Donald B. (1983), ‘The Central Role of the Propensity Score in Observational Studies for Causal Effects’, Biometrika, 70: 4155.CrossRefGoogle Scholar
Smith, Jeffrey (2000), ‘A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies’, Swiss Journal of Economics and Statistics, 136: 247268.Google Scholar
Smith, Jeffrey and Petra, Todd (2005), ‘Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?’, Journal of Econometrics, 125: 305353.CrossRefGoogle Scholar
Te, Velde, Dirk, Willem, and Adrian, Hewitt, Massimiliano, Calì, and Sheila Page (2006), Critical Assessment of the EU's Trade-related Assistance to Third Countries: Lessons from the Past, Policy Options for the Future, London: Overseas Development Institute, Study for the International Trade Committee of the European Parliament.Google Scholar
Wagner, Don (2003), ‘Aid and Trade: An Empirical Study’, Journal of the Japanese and International Economies, 17: 153173.CrossRefGoogle Scholar
WTO/OECD (2011), Aid for Trade at a Glance: Showing Results, Geneva/Paris: WTO and OECD.Google Scholar