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Predicting the Impact of Climate Conditions on the Economic Production of Iranian Provinces with The Approach of Random Forest Algorithm

Author

Listed:
  • Lotfali Azari

    (Ph.D. Candidate in Economics, Ferdowsi University of Mashhad)

  • Aliakbar Naji Meidani

    (Associate Professor of Economics, Ferdowsi University of Mashhad)

  • Narges Salehnia

    (Associate Professor of Economics, Ferdowsi University of Mashhad)

Abstract

The importance of climate as one of the human biological facts in the field of macro-economic and social issues has never been considered as much as today. Investigating the economic effects of climate change requires detailed analyzes at the national and local levels. Although there are several global studies that examine the economic impacts of climate change, so far limited studies have been conducted at local levels within countries, especially in the case of Iran. In this article, an attempt has been made to make a comprehensive analysis of the influence of the economic production of the country's provinces on climate change by using the new data set of the weather conditions of the country's provinces in the period from 2000 to 2020 through the random forest algorithm of machine learning subsets. Submitted. The results show that temperature and precipitation affect production in all provinces of the country. The forecast of production changes in Kerman, Semnan, North Khorasan, Ilam, Qazvin and Kohgiluyeh and Boyar Ahmad provinces is presented with more effectiveness than other provinces, and also the influence of precipitation compared to temperature is presented with higher importance in the model, while the importance of the influence of temperature on production in the warm months of the year are predicted to be less than the cold months of the year

Suggested Citation

  • Lotfali Azari & Aliakbar Naji Meidani & Narges Salehnia, 2024. "Predicting the Impact of Climate Conditions on the Economic Production of Iranian Provinces with The Approach of Random Forest Algorithm," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 11(2), pages 1-34.
    • Handle: RePEc:ris:qjatoe:0337
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    References listed on IDEAS

    as
    1. Chiranjit Chakraborty & Andreas Joseph, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    2. Fankhauser, Samuel & S.J. Tol, Richard, 2005. "On climate change and economic growth," Resource and Energy Economics, Elsevier, vol. 27(1), pages 1-17, January.
    3. Marshall Burke & Solomon M. Hsiang & Edward Miguel, 2015. "Global non-linear effect of temperature on economic production," Nature, Nature, vol. 527(7577), pages 235-239, November.
    4. Elshennawy, Abeer & Robinson, Sherman & Willenbockel, Dirk, 2016. "Climate change and economic growth: An intertemporal general equilibrium analysis for Egypt," Economic Modelling, Elsevier, vol. 52(PB), pages 681-689.
    5. Auffhammer, Maximilian & Schlenker, Wolfram, 2014. "Empirical studies on agricultural impacts and adaptation," Energy Economics, Elsevier, vol. 46(C), pages 555-561.
    6. Newell, Richard G. & Prest, Brian C. & Sexton, Steven E., 2021. "The GDP-Temperature relationship: Implications for climate change damages," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    7. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    8. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    9. 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.
    10. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    11. Edinaldo Tebaldi & Laura Beaudin, 2016. "Climate change and economic growth in Brazil," Applied Economics Letters, Taylor & Francis Journals, vol. 23(5), pages 377-381, March.
    12. Olper, Alessandro & Maugeri, Maurizio & Manara, Veronica & Raimondi, Valentina, 2021. "Weather, climate and economic outcomes: Evidence from Italy," Ecological Economics, Elsevier, vol. 189(C).
    13. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    14. Sachs, Jeffrey D & Warner, Andrew M, 1997. "Fundamental Sources of Long-Run Growth," American Economic Review, American Economic Association, vol. 87(2), pages 184-188, May.
    15. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2012. "Temperature Shocks and Economic Growth: Evidence from the Last Half Century," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 66-95, July.
    16. Nicholas Stern, 2013. "The Structure of Economic Modeling of the Potential Impacts of Climate Change: Grafting Gross Underestimation of Risk onto Already Narrow Science Models," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 838-859, September.
    17. Burke, Marshall & Hsiang, Solomon M & Miguel, Edward, 2015. "Global non-linear effect of temperature on economic production," Department of Economics, Working Paper Series qt3g72r0zv, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    18. Abidoye, Babatunde & Odusola, Ayodele, 2015. "Climate Change and Economic Growth in Africa: An Econometric Analysis," UNDP Africa Economists Working Papers 307336, United Nations Development Programme (UNDP).
    19. Mendelsohn, Robert & Dinar, Ariel & Sanghi, Apurva, 2001. "The effect of development on the climate sensitivity of agriculture," Environment and Development Economics, Cambridge University Press, vol. 6(1), pages 85-101, February.
    20. Dani Rodrik & Arvind Subramanian & Francesco Trebbi, 2004. "Institutions Rule: The Primacy of Institutions Over Geography and Integration in Economic Development," Journal of Economic Growth, Springer, vol. 9(2), pages 131-165, June.
    21. Babatunde O. Abidoye & Ayodele F. Odusola, 2015. "Climate Change and Economic Growth in Africa: An Econometric Analysis," Journal of African Economies, Centre for the Study of African Economies, vol. 24(2), pages 277-301.
    22. Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
    23. Auffhammer, Maximilian & Mansur, Erin T., 2014. "Measuring climatic impacts on energy consumption: A review of the empirical literature," Energy Economics, Elsevier, vol. 46(C), pages 522-530.
    24. Chang, Ching-Cheng, 2002. "The potential impact of climate change on Taiwan's agriculture," Agricultural Economics, Blackwell, vol. 27(1), pages 51-64, May.
    25. Nicolas Woloszko, 2020. "Adaptive Trees: a new approach to economic forecasting," OECD Economics Department Working Papers 1593, OECD Publishing.
    26. Maximilian Auffhammer, 2018. "Quantifying Economic Damages from Climate Change," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 33-52, Fall.
    27. Solomon Hsiang, 2016. "Climate Econometrics," Annual Review of Resource Economics, Annual Reviews, vol. 8(1), pages 43-75, October.
    28. Kalkuhl, Matthias & Wenz, Leonie, 2020. "The impact of climate conditions on economic production. Evidence from a global panel of regions," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    29. Mei, H. & Li, Y.P. & Suo, C. & Ma, Y. & Lv, J., 2020. "Analyzing the impact of climate change on energy-economy-carbon nexus system in China," Applied Energy, Elsevier, vol. 262(C).
    30. Burke, M & Craxton, M & Kolstad, CD & Onda, C & Allcott, H & Baker, E & Barrage, L & Carson, R & Gillingham, K & Graf-Zivin, J & Greenstone, M & Hallegatte, S & Hanemann, WM & Heal, G & Hsiang, S & Jo, 2016. "Opportunities for advances in climate change economics," University of California at Santa Barbara, Recent Works in Economics qt4tc5d9pb, Department of Economics, UC Santa Barbara.
    31. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    32. Solomon M. Hsiang, 2016. "Climate Econometrics," NBER Working Papers 22181, National Bureau of Economic Research, Inc.
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    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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