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Transition to a greener economy: Climate change risks and resilience in a state-space framework

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  • Bhadury, Soumya
  • Pratap, Bhanu
  • Gajbhiye, Dhirendra

Abstract

Transitioning to a low-carbon economy is a long and challenging process requiring a well-planned policy mix to achieve net-zero emissions. This paper proposes a country-agnostic, empirical framework to analyse a country’s preparedness for mitigating climate change risks. Utilizing a dynamic factor model (DFM), we create composite indices to measure climate change 'exposure' and 'resilience' by integrating diverse datasets on renewable and non-renewable production, energy consumption, structural and economic factors. Further, we employ a flexible ‘predator-prey’ species interaction model to capture the dynamic interaction between exposure and resilience. We apply our proposed framework in the context of India, a large developing economy. Our analysis indicates that, while India’s climate change exposure has declined relative to the world, its resilience towards climate change has significantly diminished over time. We also find that an increase in resilience leads to a direct decline in future exposure to climate change. Our framework underscores the need for policies that foster climate change resilience such as expanding renewable energy production, ensuring accessible finance for the renewables sector, developing climate financing infrastructure and increasing investment in research and development for a smoother transition.

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  • Bhadury, Soumya & Pratap, Bhanu & Gajbhiye, Dhirendra, 2025. "Transition to a greener economy: Climate change risks and resilience in a state-space framework," Journal of Asian Economics, Elsevier, vol. 98(C).
  • Handle: RePEc:eee:asieco:v:98:y:2025:i:c:s1049007825000521
    DOI: 10.1016/j.asieco.2025.101928
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    1. Anubhab Pattanayak & Madhumitha Srinivasan & K. S. Kavi Kumar, 2023. "Crop Diversity and Resilience to Droughts: Evidence from Indian Agriculture," Review of Development and Change, , vol. 28(2), pages 166-188, December.
    2. Kahn, Matthew E. & Mohaddes, Kamiar & Ng, Ryan N.C. & Pesaran, M. Hashem & Raissi, Mehdi & Yang, Jui-Chung, 2021. "Long-term macroeconomic effects of climate change: A cross-country analysis," Energy Economics, Elsevier, vol. 104(C).
    3. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    4. Chateau, Jean & Jaumotte, Florence & Schwerhoff, Gregor, 2024. "Climate policy options: A comparison of economic performance," Energy Policy, Elsevier, vol. 192(C).
    5. Soumya Bhadury & Bhanu Pratap, 2018. "India’s Bad Loan Conundrum: Recurrent Concern for Banking System Stability and the Way Forward," International Symposia in Economic Theory and Econometrics, in: Banking and Finance Issues in Emerging Markets, volume 25, pages 123-161, Emerald Group Publishing Limited.
    6. Marc Jarsulic, 1989. "Endogenous Credit and Endogenous Business Cycles," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 12(1), pages 35-48, September.
    7. Menegaki, Angeliki N., 2011. "Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis," Energy Economics, Elsevier, vol. 33(2), pages 257-263, March.
    8. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "A World Induced Technical Change Hybrid Model," The Energy Journal, , vol. 27(2_suppl), pages 13-37, June.
    9. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    10. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    11. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    12. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    13. Furceri, Davide & Ganslmeier, Michael & Ostry, Jonathan, 2023. "Are climate change policies politically costly?," Energy Policy, Elsevier, vol. 178(C).
    14. Torre, V, 1977. "Existence of Limit Cycles and Control in Complete Keynesian System by Theory of Bifurcations," Econometrica, Econometric Society, vol. 45(6), pages 1457-1466, September.
    15. Robert S. Pindyck, 2013. "Climate Change Policy: What Do the Models Tell Us?," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 860-872, September.
    16. Nordhaus, William D & Yang, Zili, 1996. "A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies," American Economic Review, American Economic Association, vol. 86(4), pages 741-765, September.
    17. Soumya Bhadury & Bhanu Pratap, 2018. "India’s Bad Loan Conundrum: Recurrent Concern for Banking System Stability and the Way Forward," International Symposia in Economic Theory and Econometrics, in: Banking and Finance Issues in Emerging Markets, volume 25, pages 123-161, Emerald Group Publishing Limited.
    18. Solomon Hsiang & Robert E. Kopp, 2018. "An Economist's Guide to Climate Change Science," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 3-32, Fall.
    19. Sandra Batten & Stephen Millard, 2024. "Energy and climate policy in a DSGE model of the United Kingdom," Bank of England working papers 1064, Bank of England.
    20. 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.
    21. Stephen C Peck & Thomas J. Teisberg, 1992. "CETA: A Model for Carbon Emissions Trajectory Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 55-78.
    22. Heckman, James, 2001. "Accounting for Heterogeneity, Diversity and General Equilibrium in Evaluating Social Programmes," Economic Journal, Royal Economic Society, vol. 111(475), pages 654-699, November.
    23. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    24. 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.
    25. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    26. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, Enero-Abr.
    27. 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.
    28. Ahmad, Ashfaq & Zhao, Yuhuan & Shahbaz, Muhammad & Bano, Sadia & Zhang, Zhonghua & Wang, Song & Liu, Ya, 2016. "Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy," Energy Policy, Elsevier, vol. 96(C), pages 131-143.
    29. Celso Brunetti & Matteo Crosignani & Benjamin Dennis & Gurubala Kotta & Donald P. Morgan & Chaehee Shin & Ilknur Zer, 2024. "Climate-Related Financial Stability Risks for the United States: Methods and Applications," Economic Policy Review, Federal Reserve Bank of New York, vol. 30(1), pages 1-37, October.
    30. Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
    31. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    32. Stephen C. Peck & Thomas J. Teisberg, 1992. "CETA: A Model for Carbon Emissions Trajectory Assessment," The Energy Journal, , vol. 13(1), pages 55-77, January.
    33. Sandra Batten & Stephen Millard, 2024. "Energy and climate policy in a DSGE model of the United Kingdom," Bank of England working papers 1064, Bank of England.
    34. Kaufmann,Daniel & Kraay, Aart C., 2024. "The Worldwide Governance Indicators : Methodology and 2024 Update," Policy Research Working Paper Series 10952, The World Bank.
    35. Semmler, Willi, 1987. "A macroeconomic limit cycle with financial perturbations," Journal of Economic Behavior & Organization, Elsevier, vol. 8(3), pages 469-495, September.
    36. Enrica De Cian & Valentina Bosetti & Alessandra Sgobbi & Massimo Tavoni, 2009. "The 2008 WITCH Model: New Model Features and Baseline," Working Papers 2009.85, Fondazione Eni Enrico Mattei.
    37. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    38. Hope, Chris & Anderson, John & Wenman, Paul, 1993. "Policy analysis of the greenhouse effect : An application of the PAGE model," Energy Policy, Elsevier, vol. 21(3), pages 327-338, March.
    39. Karl Naumann-Woleske, 2023. "Agent-based Integrated Assessment Models: Alternative Foundations to the Environment-Energy-Economics Nexus," Papers 2301.08135, arXiv.org, revised Jan 2023.
    40. Jean Chateau & Geetika Dang & Ms. Margaux MacDonald & John A Spray & Sneha D Thube, 2023. "A Framework for Climate Change Mitigation in India," IMF Working Papers 2023/218, International Monetary Fund.
    41. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    42. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    43. Kahouli, Bassem, 2018. "The causality link between energy electricity consumption, CO2 emissions, R&D stocks and economic growth in Mediterranean countries (MCs)," Energy, Elsevier, vol. 145(C), pages 388-399.
    44. Harvey, A C & Todd, P H J, 1983. "Forecasting Economic Time Series with Structural and Box-Jenkins Models: A Case Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 299-307, October.
    45. William D. Nordhaus, 1992. "The 'DICE' Model: Background and Structure of a Dynamic Integrated Climate-Economy Model of the Economics of Global Warming," Cowles Foundation Discussion Papers 1009, Cowles Foundation for Research in Economics, Yale University.
    46. Mary Corcoran & Greg J. Duncan, 1979. "Work History, Labor Force Attachment, and Earnings Differences between the Races and Sexes," Journal of Human Resources, University of Wisconsin Press, vol. 14(1), pages 3-20.
    47. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis.
    48. Shuping Shi & Stan Hurn & Peter C B Phillips, 2020. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money–Income Relationship [Energy Consumption and Economic Growth in the United States]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 158-180.
    49. Serhan Cevik, João Tovar Jalles, 2023. "Eye of the Storm: The Impact of Climate Shocks on Inflation and Growth," Working Papers REM 2023/0276, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    50. Cevik Serhan & Jalles Joao, 2024. "Eye of the Storm: The Impact of Climate Shocks on Inflation and Growth," Review of Economics, De Gruyter, vol. 75(2), pages 109-138.
    51. Leonardo Nascimento & Takeshi Kuramochi & Gabriela Iacobuta & Michel den Elzen & Hanna Fekete & Marie Weishaupt & Heleen Laura van Soest & Mark Roelfsema & Gustavo De Vivero-Serrano & Swithin Lui & Fr, 2022. "Twenty years of climate policy: G20 coverage and gaps," Climate Policy, Taylor & Francis Journals, vol. 22(2), pages 158-174, February.
    52. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178, Decembrie.
    53. 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.
    54. Sonal Barve & K. S. Kavi Kumar & Brinda Viswanathan, 2021. "Weather Variability, Agricultural Productivity, And Farmer Suicides In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-27, May.
    55. Harvey, A C & Todd, P H J, 1983. "Forecasting Economic Time Series with Structural and Box-Jenkins Models: A Case Study: Response," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 313-315, October.
    56. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    57. Marshall Burke & Kyle Emerick, 2016. "Adaptation to Climate Change: Evidence from US Agriculture," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 106-140, August.
    58. R. H. Shumway & D. S. Stoffer, 1982. "An Approach To Time Series Smoothing And Forecasting Using The Em Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 3(4), pages 253-264, July.
    59. Foley, Duncan K., 1987. "Liquidity-profit rate cycles in a capitalist economy," Journal of Economic Behavior & Organization, Elsevier, vol. 8(3), pages 363-376, September.
    60. Bhattacharya, S.C. & Jana, Chinmoy, 2009. "Renewable energy in India: Historical developments and prospects," Energy, Elsevier, vol. 34(8), pages 981-991.
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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