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Weather Shocks’ Impacts on Farm-Level Agricultural Outcomes in Bolivia

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Natural Disasters and Climate Change

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Abstract

This paper studies how weather shocks affect agricultural outcomes in Bolivia at the farm-level. Using micro-data from the Bolivian Agricultural Survey of 2008 and 2015, satellite climate data, and a municipality level fixed effects model, we show that weather shocks, such as extreme temperature and extreme rainfall shocks have detrimental effects on Bolivian farmers’ yield. We also study how farmers cope with short-run weather extreme variations. We present our results differentiating by the climate risk areas and the geographic regions of Bolivia. On average, farmers that live in highlands municipalities experience greater reductions in yields and farmers that live in flood-prone municipalities increase the within farm labor supply in agricultural activities to cope with weather shocks. Our findings could orient policies toward mitigating the short-run implications of weather extreme variations.

I would like to thank Alex Armand, Joseph Gomes and Ivan Kim for their collaboration and suggestions. I am extremely grateful with all the staff from Instituto Nacional de Estadística de Bolivia—INE.

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Notes

  1. 1.

    Previous works on socioeconomics impacts of weather realizations in Bolivia take municipalities as the unit of observations using cross sectional data and their aim is to analyze implications of climate realizations not of weather shocks. See Andersen and Verner (2014) and Castro (2018).

  2. 2.

    Agricultural Productive Units (APU) (Unidades de Producción Agropecuaria, UPA) is defined in the 2013 Report of the Agricultural Census as all land that is used totally or partially in agricultural or livestock activities, regardless of size, tenure or legal status.

  3. 3.

    For example, in lowlands, soybeans account for more than 75% of the cultivated crops; in highlands, 30% is quinoa, 25% is potato, 15% is alfalfa, and 10% is corn; while in valleys, 65% of the cultivated land is dedicated to corn, and 20% to potato.

  4. 4.

    Our results do not change if we include observations below or above this 5 ℃ bound. In fact, as a robustness check we estimate \(t_{u}\) running different regressions with \(0 \le t_{u} \le 10.\)

Abbreviations

JEL Codes :

O13; O12; Q12; Q15; Q51; Q54.

References

  • Acevedo S, Mrkaic M, Novta N, Poplawski-Ribeiro M, Pugacheva E, Topalova P (2017) World economic outlook, October 2017, seeking sustainable growth: short-term recovery, long-term challenges, chapter the effects of weather shocks on economic activity: how can low-income countries cope? pp 117–183. International Monetary Fund

    Google Scholar 

  • Andersen LE and Verner D (2014, November). Social impact of climate change in Bolivia: a municipal level analysis of the effects of recent climate change on life expectancy, consumption, poverty and inequality. Latin Am J Econ Dev 22:49–83

    Google Scholar 

  • Aragon FM, Oteiza F, Rud JP (2019) Climate change and agriculture: subsistence farmers’ response to extreme heat

    Google Scholar 

  • Castro M (2018) Clusters de calidad de vida y cambio climático en Bolivia: Un análisis espacial multitemporal aplicando sistemas de información geográfica. Latin Am J Econ Dev 29:103–147

    Google Scholar 

  • Delgadillo MF, Lazo A (2015) Evaluación de daños y pérdidas por eventos climáticos: Bolivia 2013–2014. Technical report, Unidad de Análisis de Políticas Sociales y Económicas (UDAPE)

    Google Scholar 

  • Dell M, Jones BF, Olken BA (2014). What do we learn from the weather? the new climate-economy literature. J Econ Lit 52(3):740–798

    Google Scholar 

  • Deschenes O, Greenstone M (2007) The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather. Am Econ Rev 97(1):354–385

    Google Scholar 

  • Eckstein D, Hutfils M-L, Winges M (2019) Global climate risk index 2019: Who suffers most from extreme weather events? weather-related loss events in 2017 and 1998 to 2017. Technical report, Germanwatch Nord-Sud¨ Initiative eV

    Google Scholar 

  • Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S, Husak G, Rowland J, Harrison L, Hoell A et al (2015) The climate hazards infrared precipitation with stations–a new environmental record for monitoring extremes. Scientific data 2(150066)

    Google Scholar 

  • Gorriti D, Gutierrez S (2014) Metodología para el cálculo del Índice de riesgo municipal con datos del censo 2012. Technical report, World Bank

    Google Scholar 

  • IPCC (2014) Climate change 2014: synthesis report. contribution of working groups i, ii and iii to the fifth assessment report of the intergovernmental panel on climate change. techreport, IPCC

    Google Scholar 

  • Schlenker W, Hanemann WM, Fisher AC (2006). The impact of global warming on U.S. agriculture: an econometric analysis of optimal growing conditions. Rev Econ Stat 88(1):113–125

    Google Scholar 

  • Schlenker W, Roberts MJ (2009). Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change. Proc Natl Acad Sci 106(37):15594–15598

    Google Scholar 

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Correspondence to Sergio Daga .

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Appendix

Appendix

Tables 12 and 13.

Table 12 Weather shocks and yield, by climate risk areas
Table 13 Weather shocks and value of livestock, by climate risk areas

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Daga, S. (2020). Weather Shocks’ Impacts on Farm-Level Agricultural Outcomes in Bolivia. In: Durante, J., Rosillo, R. (eds) Natural Disasters and Climate Change. SpringerBriefs in Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-43708-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-43708-4_2

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