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Environmental Science and Pollution Research

, Volume 25, Issue 23, pp 22725–22735 | Cite as

Climate change and economic growth: a heterogeneous panel data approach

  • Tiago Neves Sequeira
  • Marcelo Serra Santos
  • Manuela Magalhães
Research Article
  • 59 Downloads

Abstract

Climate change is a global phenomenon. Its impact on economic growth must therefore be analyzed in accordance with its (time-varying) common effects. We present an econometric analysis that evaluates this effect taking into account its global nature. Contrary to previous evidence that ignores the global effects, we obtain that the rising temperature has not decreased growth in real GDP per capita in the second half of the twentieth century for the world countries. However, we obtain a negative effect of rising temperatures and a positive effect of rising precipitation in poor countries. This positive effect of rising precipitation is also confirmed for hot and temperate countries.

Keywords

Global warming Temperature Precipitation Economic growth Industrial output 

Notes

Funding information

Tiago Neves Sequeira (CEFAGE-UBI has financial support from FCT, Portugal, and FEDER/COMPETE 2020, through grant UID/ECO/04007/2013 (POCI-01-0145-FEDER-007659)).

Marcelo Serra Santos (CEFAGE-UBI has financial support from FCT, Portugal, and FEDER/COMPETE 2020, through grant UID/ECO/04007/2013 (POCI-01-0145-FEDER-007659)).

Manuela Magalhães received financial support from FCT (via POCI, project number 24068/2005), from the University of Warwick, from the University of Alicante, and from the Spanish Ministry of Economics and Competition (ECO2012-36719).

References

  1. Banks AS, Wilson K (2015) Cross-national time-series data archive. Databanks International, Jerusalem. Available at http://www.databanksinternational.com Google Scholar
  2. Banerjee A, Carrion-i-Silvestre J (2011) Testing for panel cointegration using common correlated effects estimators. Paper presented at the 14th Applied Economics Meeting, HuelvaGoogle Scholar
  3. Barreca A, Clay K, Deschenes O, Greenstone M, Shapiro J (2013) Adapting to climate change: the remarkable decline in the U.S. temperature-mortality relationship over the 20th Century. NBER Working Paper, 18692Google Scholar
  4. Bailey N, Kapetanios G, Pesaran MH (2016) Exponent of Cross? Sectional Dependence: Estimation and Inference. J Appl Econ 31:929–960.  https://doi.org/10.1002/jae.2476 CrossRefGoogle Scholar
  5. Burgess R, Donaldson D (2010) Can openness mitigate the effects of weather shocks? Evidence from India’s famine era. Am Econ Rev 100(2):449–53CrossRefGoogle Scholar
  6. Burke (2015) Global non-linear effect of temperature on economic production. Nature 527:235–239CrossRefGoogle Scholar
  7. Chudik A, Pesaran M (2013) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Federal Reserve Bank of Dallas Globalization and Monetary Policy Institute Working Paper No. 146Google Scholar
  8. Dell M, Jones B, Olken B (2012) Temperature shocks and economic growth: evidence from the last half century. American Journal of Economics: Macroeconomics 4(3):66–95Google Scholar
  9. Dell M, Jones B, Olken B (2014) What do we learn from the weather? The new climate—economy literature. J Econ Lit 52(3):740–798CrossRefGoogle Scholar
  10. Eberhardt M, Prebistero A (2015) Public debt and growth: heterogeneity and non-linearity. J Int Econ 97:45–58CrossRefGoogle Scholar
  11. Eberhardt M, Teal F (2011) Econometrics for grumblers: a new look at the literature on cross-country growth empirics. J Econ Surv 25(1):109–155CrossRefGoogle Scholar
  12. Feenstra R, Inklaar R, Timmer M (2015) The next generation of the Penn World Table. Am Econ Rev 105(10):3150–3182CrossRefGoogle Scholar
  13. Pesaran M (2004) General diagnostic tests for cross section dependence in panels. University of Cambridge, mimeoGoogle Scholar
  14. Pesaran M (2006) Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica 74(4):967–1012CrossRefGoogle Scholar
  15. Pesaran M (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 22 (2):265–312CrossRefGoogle Scholar
  16. Pesaran M (2015) Testing weak cross-sectional dependence in large panels. Econ Rev 34(6-10):1089–1117CrossRefGoogle Scholar
  17. Waldinger M (2015) The economic effects of long-term climate change: evidence from the little ice age. Centre for Climate Change Economics and Policy Working PaperGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Departamento de Gestão e EconomiaUniversidade da Beira InteriorCovilhãPortugal
  2. 2.CEFAGE-UBICovilhãPortugal
  3. 3.University PortucalensePortoPortugal

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