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Weather Volatility and Production Efficiency

Author

Listed:
  • Denitsa Angelova

    (School of Management, Technical University of Munich, Arcisstraße 21, 80333 Munich, Germany)

  • Jan Käbel

    (School of Life Sciences Weihenstephan, Technical University of Munich, Alte Akademie 8, 85354 Freising, Germany)

Abstract

We formulate a stochastic production frontier model to estimate the production efficiency scores while correcting for technical progress and weather effects in the form of temperature and precipitation levels and volatility. We econometrically estimate a model for European agriculture. Our results indicate that average temperature, unlike average precipitation levels, significantly influences aggregate agricultural output. We estimate that a marginal increase in temperature would decrease aggregate European agricultural output by about 1.6% percent. Further estimation results indicate a slight increase in output associated with marginal increases of precipitation and temperature volatilities.

Suggested Citation

  • Denitsa Angelova & Jan Käbel, 2019. "Weather Volatility and Production Efficiency," Sustainability, MDPI, vol. 11(24), pages 1-12, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6970-:d:295010
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    References listed on IDEAS

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    1. Maria Belyaeva & Raushan Bokusheva, 2018. "Will climate change benefit or hurt Russian grain production? A statistical evidence from a panel approach," Climatic Change, Springer, vol. 149(2), pages 205-217, July.
    2. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    3. Sun Ling Wang & Eldon Ball & Richard Nehring & Ryan Williams & Truong Chau, 2018. "Impacts of Climate Change and Extreme Weather on US Agricultural Productivity: Evidence and Projection," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 41-75, National Bureau of Economic Research, Inc.
    4. repec:adr:anecst:y:1999:i:55-56:p:11 is not listed on IDEAS
    5. Clive W. J. Granger & Namwon Hyung, 1999. "Spurious Stochastics in a Short Time-Series Panel Data," Annals of Economics and Statistics, GENES, issue 55-56, pages 299-315.
    6. Zhangqi Zhong & Yiqin Hu & Lei Jiang, 2019. "Impact of Climate Change on Agricultural Total Factor Productivity Based on Spatial Panel Data Model: Evidence from China," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    7. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    8. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    9. Marco Letta & Richard S. J. Tol, 2019. "Weather, Climate and Total Factor Productivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 283-305, May.
    10. Olivier Deschênes & Michael Greenstone, 2012. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Reply," American Economic Review, American Economic Association, vol. 102(7), pages 3761-3773, December.
    11. Bernard Oury, 1965. "Allowing for Weather in Crop Production Model Building," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(2), pages 270-283.
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