IDEAS home Printed from https://ideas.repec.org/p/kob/dpaper/dp2020-30.html
   My bibliography  Save this paper

The Covid-19 Impact on Agricultural Market Arrivals and Prices in India: A Panel VAR Approach

Author

Listed:
  • Katsushi S. Imai

    (Department of Economics, The University of Manchester, UK and Research Institute for Economics and Business Administration, Kobe University, JAPAN)

  • Nidhi Kaicker

    (School of Business, Public Policy and Social Entrepreneurship, Ambedkar University, INDIA)

  • Raghav Gaiha

    (Glovbal Development Institute, University of Manchester, UK and Population Studies Centre, University of Pennsylvania, U.S.A.)

Abstract

Using the panel data on market arrivals and prices for the 17 Indian states from July 2019 to June 2020, the present study examines whether the growth of Covid-19 pandemic influenced fractional changes in market arrivals and prices. A point of departure of our analysis from the literature is that we take into account the dynamic and lagged interactions between the fractional changes in market arrivals and prices of food commodities, namely, rice, onion, potato, and tomato, and the growth rate in the severity ratio of the Covid-19 pandemic, using a panel VAR model based on GMM. Our results suggest that there was virtually no effect of the Covid-19 pandemic growth on fractional changes in market arrivals while the former negatively influences fractional food price changes in the short run. However, once we consider feedback effects in the VAR model based on Impulse Response Functions, the overall elasticity of the fractional change in the market arrival with respect to the Covid-19 pandemic growth turns from weakly positive to zero in a relatively short term. The overall elasticity of the fractional change in the market price with respect to the Covid-19 pandemic growth turns from positive to zero or negative in onion and tomato, from negative to zero in rice and potato. We also find a great deal of regional heterogeneity where, for instance, the negative effect of the pandemic growth on the fractional change in price is larger in Maharashtra, the state with the worst pandemic. While the effect of the pandemic growth is relatively short-lived, policymakers need to take into account dynamic effects over time given the complexity of the transmission mechanism.

Suggested Citation

  • Katsushi S. Imai & Nidhi Kaicker & Raghav Gaiha, 2020. "The Covid-19 Impact on Agricultural Market Arrivals and Prices in India: A Panel VAR Approach," Discussion Paper Series DP2020-30, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2020.
    • Handle: RePEc:kob:dpaper:dp2020-30
    as

    Download full text from publisher

    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2020-30.pdf
    File Function: Revidsed version, 2020
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. William G. Tomek & Robert J. Myers, 1993. "Empirical Analysis of Agricultural Commodity Prices: A Viewpoint," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(1), pages 181-202.
    2. Kanika Mahajan & Shekhar Tomar, 2020. "Here Today, Gone Tomorrow: COVID-19 and Supply Chain Disruptions," Working Papers 28, Ashoka University, Department of Economics.
    3. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    4. Deepak Varshney & Devesh Roy & J. V. Meenakshi, 2023. "Impact of COVID-19 on Agricultural Markets: Assessing the Roles of Commodity Characteristics, Disease Caseload, and Market Reforms," India Studies in Business and Economics, in: Indrani Gupta & Mausumi Das (ed.), Contextualizing the COVID Pandemic in India, chapter 0, pages 249-271, Springer.
    5. Reardon, Thomas & Bellemare, Marc F. & Zilberman, David, 2020. "How COVID-19 may disrupt food supply chains in developing countries," IFPRI book chapters, in: COVID-19 and global food security, chapter 17, pages 78-80, International Food Policy Research Institute (IFPRI).
    6. Jody Harris & Lutz Depenbusch & Arshad Ahmad Pal & Ramakrishnan Madhavan Nair & Srinivasan Ramasamy, 2020. "Food system disruption: initial livelihood and dietary effects of COVID-19 on vegetable producers in India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 841-851, August.
    7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    8. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
    9. Katsushi S. Imai & Nidhi Kaicker & Raghav Gaiha, 2021. "Severity of the COVID‐19 pandemic in India," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 517-546, May.
    10. Katsushi S. Imai & Nidhi Kaicker & Raghav Gaiha, 2020. "The Covid-19 Impact on Agricultural Prices in India," Discussion Paper Series DP2020-25, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2020.
    11. Tomek, William G. & Myers, Robert J., 1993. "Empirical Analysis Of Agricultural Commodity Prices: A Viewpoint," Working Papers 6847, Cornell University, Department of Applied Economics and Management.
    12. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Goswami, Binoy & Mandal, Raju & Nath, Hiranya K., 2021. "Covid-19 pandemic and economic performances of the states in India," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 461-479.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Na Zhang & Jinqian Deng & Fayyaz Ahmad & Muhammad Umar Draz & Nabila Abid, 2023. "The dynamic association between public environmental demands, government environmental governance, and green technology innovation in China: evidence from panel VAR model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9851-9875, September.
    2. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    3. Charles Shaaba Saba & Nicholas Ngepah, 2022. "ICT Diffusion, Industrialisation and Economic Growth Nexus: an International Cross-country Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2030-2069, September.
    4. Joan Costa-Font & Cristina Vilaplana-Prieto, 2023. "‘Investing’ in care for old age? An examination of long-term care expenditure dynamics and its spillovers," Empirical Economics, Springer, vol. 64(1), pages 1-30, January.
    5. Clovis Wendji Miamo & Elvis Dze Achuo, 2022. "Can the resource curse be avoided? An empirical examination of the nexus between crude oil price and economic growth," SN Business & Economics, Springer, vol. 2(1), pages 1-23, January.
    6. David C. López-Valenzuela & Enrique Montes-Uribe & Héctor M. Zárate-Solano & Alvaro Carmona-Duarte, 2019. "Determinantes y evolución entre precios y cantidades de las exportaciones industriales de Colombia: un estudio a partir de un modelo de Panel-VAR," Borradores de Economia 1075, Banco de la Republica de Colombia.
    7. Sherif. M. Hassan & John M. Riveros Gavilanes, 2021. "First to React Is the Last to Forgive: Evidence from the Stock Market Impact of COVID 19," JRFM, MDPI, vol. 14(1), pages 1-25, January.
    8. Charfeddine, Lanouar & Zaouali, Sana, 2022. "The effects of financial inclusion and the business environment in spurring the creation of early-stage firms and supporting established firms," Journal of Business Research, Elsevier, vol. 143(C), pages 1-15.
    9. Ioannis Kostakis, 2020. "Is Tourism a Key Factor for Economic Growth? Fresh Evidence from South Europe Using Panel Cointegration and PVAR Analyses," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 6(2), pages 123-138, December.
    10. Sleibi, Yacoub & Casalin, Fabrizio & Fazio, Giorgio, 2020. "Bank-specific shocks and aggregate leverage: Empirical evidence from a panel of developed countries," Journal of Financial Stability, Elsevier, vol. 49(C).
    11. Kais Mtar & Walid Belazreg, 2023. "On the nexus of innovation, trade openness, financial development and economic growth in European countries: New perspective from a GMM panel VAR approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 766-791, January.
    12. Sène, Babacar & Mbengue, Mohamed Lamine & Allaya, Mouhamad M., 2021. "Overshooting of sovereign emerging eurobond yields in the context of COVID-19," Finance Research Letters, Elsevier, vol. 38(C).
    13. Yang Song & Dayu Liu & Qiaoru Wang, 2021. "The dual-financial-threshold effect in the “club convergence” of economic growth: a dynamic panel threshold model," Empirical Economics, Springer, vol. 61(5), pages 2713-2737, November.
    14. Clement Olalekan Olaniyi & Olaolu Richard Olayeni, 2020. "A new perspective into the relationship between CEO pay and firm performance: evidence from Nigeria’s listed firms," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(2), pages 250-277, December.
    15. Katsushi S. Imai & Nidhi Kaicker & Raghav Gaiha, 2020. "The Covid-19 Impact on Agricultural Prices in India," Discussion Paper Series DP2020-25, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2020.
    16. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    17. Trofimov, Ivan D., 2022. "Determinants of the profit rates in the OECD economies: A panel data analysis of the Kalecki's profit equation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 380-397.
    18. Oguzhan Cepni & Ibrahim Ethem Guney & Doruk Kucuksarac & M. Hasan Yilmaz, 2021. "Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data‐rich environment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1214-1229, November.
    19. Ibrahim Ayoade Adekunle & Sheriffdeen Adewale Tella & Oluwaseyi Adedayo Adelowokan, 2021. "Macroeconomic policy volatility and household consumption in Africa," SN Business & Economics, Springer, vol. 1(3), pages 1-22, March.
    20. Pazouki, Azadeh & Zhu, Xiaoxian, 2022. "The dynamic impact among oil dependence volatility, the quality of political institutions, and government spending," Energy Economics, Elsevier, vol. 115(C).

    More about this item

    Keywords

    Covid-19 pandemic; Food prices; A panel VAR model; Lockdown; INDIA;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kob:dpaper:dp2020-30. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Office of Promoting Research Collaboration, Research Institute for Economics & Business Administration, Kobe University (email available below). General contact details of provider: https://edirc.repec.org/data/rikobjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.