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Impact Evaluation of Innovation and Linkage Development Programs in Costa Rica: The Cases of PROPYME and CR Provee

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  • Ricardo Monge-Gonzalez
  • Juan Antonio Rodriguez-Alvarez

Abstract

This paper estimates the impact of two productive development programs (PDPs) in Costa Rica: PROPYME and CR Provee. The first seeks to increase the capacity of small and medium-sized firms (SMEs) to innovate, and the second aims to increase backward linkages between Costa Rican SMEs and multinational companies operating in the country. The impacts of each program were measured in terms of three result variables: real average wages, employment demand, and the probability of exporting. A combination of fixed effects and propensity score matching techniques was used in estimations to correct for any selection bias. The results show that both PROPYME and CR Provee have positive and significant impacts on SME performance. PROPYME’s beneficiaries performed better than other firms in terms of labor demand and their probability of exporting, while firms treated by CR Provee showed higher average wages, labor demand, and chances of exporting than untreated firms. Firms treated simultaneously by both programs performed better in terms of average wages than those that were only treated by CR Provee. This result is of special interest to policymakers since it indicates the importance of bundling in the implementation of PDPs. The findings suggest that policies aimed at overcoming the weaknesses of these two programs are important for obtaining higher real wages, generating more employment, and increasing the probability of exporting by Costa Rican SMEs.

Suggested Citation

  • Ricardo Monge-Gonzalez & Juan Antonio Rodriguez-Alvarez, 2013. "Impact Evaluation of Innovation and Linkage Development Programs in Costa Rica: The Cases of PROPYME and CR Provee," Research Department Publications IDB-WP-461, Inter-American Development Bank, Research Department.
    • Handle: RePEc:idb:wpaper:idb-wp-461
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    Cited by:

    1. Diego Aboal & Gustavo Rojas & Belén Servín & Paz Queraltó, 2019. "How Effective are Innovation Support Programs to Stimulate Innovation? Evidence from Paraguay," Documentos de Trabajo 17233, The Latin American and Caribbean Economic Association (LACEA).

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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