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Measuring Demand and Supply Shocks From COVID-19: An Industry-Level Analysis for India

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  • Anuradha Patnaik

Abstract

The present article attempts to decompose the COVID-19-induced shock to output and inflation of the Indian economy at the aggregate and disaggregate levels into demand and supply shocks for the period March 2020 to June 2020, using a structural Bayesian VAR model following Baumeister and Hamilton (2015, 2019). The results of the empirical analysis reveal that while the negative supply shocks dominate at the aggregate and disaggregate levels, their magnitude varies across industries. Demand shocks to output were positive in some industries like the manufacture of food products (10), textiles (13), chemicals and chemical products (20), and electrical equipment (27), but were outweighed by the negative supply shocks. In response to the COVID-19 shock the government announced the three pronged Atmanirbhar Bharat Abhiyan (ABA), which is a blend of demand management, supply management and structural policies. It not only promises to address the short-term distress caused to the industries due to the COVID-19 shock but also attempts to make them self-reliant and resilient to such shocks in future. JEL Classification: E10, C32, C40, E30

Suggested Citation

  • Anuradha Patnaik, 2022. "Measuring Demand and Supply Shocks From COVID-19: An Industry-Level Analysis for India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 16(1), pages 76-105, February.
    • Handle: RePEc:sae:mareco:v:16:y:2022:i:1:p:76-105
    DOI: 10.1177/09738010211067392
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    References listed on IDEAS

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    1. Hiroyasu Inoue & Yasuyuki Todo, 2020. "The propagation of economic impacts through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-10, September.
    2. Luca Fornaro & Martin Wolf, 2020. "Covid-19 coronavirus and macroeconomic policy," Economics Working Papers 1713, Department of Economics and Business, Universitat Pompeu Fabra.
    3. S. Mahendra Dev & Rajeswari Sengupta, 2020. "Covid-19: Impact on the Indian economy," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-013, Indira Gandhi Institute of Development Research, Mumbai, India.
    4. Pravakar Sahoo & Ashwani, 2020. "COVID-19 and Indian Economy: Impact on Growth, Manufacturing, Trade and MSME Sector," Global Business Review, International Management Institute, vol. 21(5), pages 1159-1183, October.
    5. Xavier Jaravel & Martin O'Connell, 2020. "Inflation spike and falling product variety during the Great Lockdown," IFS Working Papers W20/17, Institute for Fiscal Studies.
    6. Luca Fornaro & Martin Wolf, 2020. "Covid-19 Coronavirus and Macroeconomic Policy," Working Papers 1168, Barcelona School of Economics.
    7. Balleer, Almut & Link, Sebastian & Menkhoff, Manuel & Zorn, Peter, 2020. "Demand or Supply? Price Adjustment during the COVID-19 Pandemic," IZA Discussion Papers 13568, Institute of Labor Economics (IZA).
    8. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    9. Farhi, Emmanuel & Baqaee, David Rezza, 2020. "Nonlinear Production Networks with an Application to the Covid-19 Crisis," CEPR Discussion Papers 14742, C.E.P.R. Discussion Papers.
    10. Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
    11. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    12. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 0. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
    13. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    14. S. G. Deshmukh & Abid Haleem, 2020. "Framework for Manufacturing in Post-COVID-19 World Order: An Indian Perspective," International Journal of Global Business and Competitiveness, Springer, vol. 15(1), pages 49-60, June.
    15. Sabyasachi Kar & B B Bhattacharya, 2011. "Shocks, Economic Growth and the Indian Economy," Working Papers id:4319, eSocialSciences.
    16. repec:ind:igowpp:2018-005 is not listed on IDEAS
    17. Seetharaman, Priya, 2020. "Business models shifts: Impact of Covid-19," International Journal of Information Management, Elsevier, vol. 54(C).
    18. Geert Bekaert & Eric Engstrom & Andrey Ermolov, 2023. "The Variance Risk Premium in Equilibrium Models," Review of Finance, European Finance Association, vol. 27(6), pages 1977-2014.
    19. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    20. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    21. Goyal, Ashima & Kumar, Abhishek, 2018. "Active monetary policy and the slowdown: Evidence from DSGE based Indian aggregate demand and supply," The Journal of Economic Asymmetries, Elsevier, vol. 17(C), pages 21-40.
    22. Das, Panchanan, 2020. "COVID-19 Pandemic and Macroeconomic Uncertainty: Indian Economic Outlook," MPRA Paper 99757, University Library of Munich, Germany.
    23. Bhavesh Salunkhe & Anuradha Patnaik, 2019. "Inflation Dynamics and Monetary Policy in India: A New Keynesian Phillips Curve Perspective," South Asian Journal of Macroeconomics and Public Finance, , vol. 8(2), pages 144-179, December.
    24. Xavier Estupinan & Mohit Sharma & Sargam Gupta & Bharti Birla, 2020. "Impact of COVID-19 pandemic on labour supply and gross value added in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-022, Indira Gandhi Institute of Development Research, Mumbai, India.
    25. S. G. Deshmukh & Abid Haleem, 0. "Framework for Manufacturing in Post-COVID-19 World Order: An Indian Perspective," International Journal of Global Business and Competitiveness, Springer, vol. 0, pages 1-12.
    26. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    27. Jaravel, Xavier & O'Connell, Martin, 2020. "Real-time price indices: Inflation spike and falling product variety during the Great Lockdown," Journal of Public Economics, Elsevier, vol. 191(C).
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    Cited by:

    1. Ghulam Ghouse & Muhammad Ishaq Bhatti & Muhammad Hassam Shahid, 2022. "Impact of COVID-19, Political, and Financial Events on the Performance of Commercial Banking Sector," JRFM, MDPI, vol. 15(4), pages 1-18, April.
    2. Yadavindu Ajit & Taniya Ghosh, 2024. "A Historical perspective on India's inflation persistence: A Quantile analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2024-015, Indira Gandhi Institute of Development Research, Mumbai, India.

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    Keywords

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    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • 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
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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