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Climatic effects and agricultural productivity: The case of El Salvador

Author

Listed:
  • Bravo-Uretaa, Boris E.
  • Njukib, Eric
  • Jara-Rojasc, Roberto
  • Salazar, Lina

Abstract

[EN] We analyze Total Factor Productivity (TFP) using a large farm level panel data set from El Salvador, a country highly vulnerable to climatic events. For this purpose, alternative stochastic production frontier models are implemented to evaluate the robustness of the analysis. Key findings show that temperature shocks adversely impact output, aggregate rainfall has a positive effect, while mean temperature exhibits no significant effect. Furthermore, TFP declined by -5.36 % on average, while average technological change and technical efficiency declined by -2.25 % and -1.36 %, respectively with considerable variability across time and space. [ES] En este trabajo se analizan cambios en la Productividad Total de Factores (PTF) utilizando datos de panel a nivel predial para El Salvador, país altamente vulnerable a la variabilidad climática. Para este efecto, se implementan modelos de fronteras de producción estocásticos alternativos para evaluar la robustez del análisis. Los hallazgos muestran que las variaciones en temperatura afectan negativamente la producción, la lluvia acumulativa tiene un efecto positivo, mientras que la temperatura media no tiene efecto significativo sobre la productividad. Además, la PTF disminuyó en un -5,36 % en promedio, el cambio tecnológico promedio y la eficiencia técnica disminuyeron en un -2,25 % y -1,36 %, respectivamente.

Suggested Citation

  • Bravo-Uretaa, Boris E. & Njukib, Eric & Jara-Rojasc, Roberto & Salazar, Lina, 2026. "Climatic effects and agricultural productivity: The case of El Salvador," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 26(1), June.
    • Handle: RePEc:ags:earnsa:404202
    DOI: 10.22004/ag.econ.404202
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    References listed on IDEAS

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    1. Shenggen Fan, 1991. "Effects of Technological Change and Institutional Reform on Production Growth in Chinese Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 266-275.
    2. Eric Njuki & Boris E. Bravo-Ureta & Christopher J. O’Donnell, 2019. "Decomposing agricultural productivity growth using a random-parameters stochastic production frontier," Empirical Economics, Springer, vol. 57(3), pages 839-860, September.
    3. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    4. Awudu Abdulai & Hendrik Tietje, 2007. "Estimating technical efficiency under unobserved heterogeneity with stochastic frontier models: application to northern German dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(3), pages 393-416, September.
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