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Impactos climáticos y económicos de El Niño Oscilación del Sur: Evidencia en PIB agrícola de Bolivia
[Climate and Economic Impacts of El Niño Southern Oscillation: Evidence on Bolivia's Agricultural GDP]

Author

Listed:
  • Valdivia Coria, Joab Dan
  • Pareja Marín, Caroline Andrea

Abstract

La investigación analiza los efectos de los fenómenos climáticos extremos registrados en El Niño-Oscilación del Sur (ENOS) en la producción agrícola y el PIB agrícola de Bolivia. Los resultados muestran que condiciones atmosféricas adversas tienen un efecto negativo en el desempeño del PIB Agrícola, una pérdida de 1,2pp y 0,39pp, en la tasa de crecimiento del PIB de Productos Agrícolas No Industriales e Industriales, respectivamente. El escenario contra-factual estimado muestra que en ausencia de eventos climáticos, el PIB Agrícola de Bolivia perdió Bs66.301 millones entre 1991 y 2022

Suggested Citation

  • Valdivia Coria, Joab Dan & Pareja Marín, Caroline Andrea, 2023. "Impactos climáticos y económicos de El Niño Oscilación del Sur: Evidencia en PIB agrícola de Bolivia [Climate and Economic Impacts of El Niño Southern Oscillation: Evidence on Bolivia's Agricultural GDP]," MPRA Paper 119069, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:119069
    as

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    References listed on IDEAS

    as
    1. Mr. Romain A Duval & Mr. Kevin C Cheng & Kum Hwa Oh & Richa Saraf, 2014. "Trade Integration and Business Cycle Synchronization: A Reappraisal with Focus on Asia," IMF Working Papers 2014/052, International Monetary Fund.
    2. Andrea Bastianin & Alessandro Lanza & Matteo Manera, 2018. "Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 623-633, September.
    3. Lykke E. Andersen & Luis Carlos Jemio (ed.), 2015. "La dinámica del cambio climático en Bolivia," INESAD ebooks, Institute for Advanced Development Studies, edition 1, volume 1, number 201501, July.
    4. Raymond Hicks & Dustin Tingley, 2011. "Causal mediation analysis," Stata Journal, StataCorp LLC, vol. 11(4), pages 605-619, December.
    5. Masters, William A & McMillan, Margaret S, 2001. "Climate and Scale in Economic Growth," Journal of Economic Growth, Springer, vol. 6(3), pages 167-186, September.
    6. Fajri, Halimah Cahyaning & Siregar, Hermanto & Sahara, Sahara, . "Impact Of Climate Change On Food Price In The Affected Provinces Of El Nino And La Nina Phenomenon: Case Of Indonesia," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 7(4).
    7. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
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    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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