IDEAS home Printed from https://ideas.repec.org/a/bla/rdevec/v27y2023i2p1113-1134.html
   My bibliography  Save this article

Estimating the link between trade uncertainty, pandemic uncertainty and food price stability in Togo: New evidence for an asymmetric analysis

Author

Listed:
  • Kuamvi Sodji

Abstract

Globally, the outbreak of COVID‐19 and the associated containment measures adopted by governments are causing disruptions that sow uncertainty in several sectors of the economy. In this study, we explore the asymmetric impact of pandemic uncertainty and global trade policy on food prices in Togo. The study uses a nonlinear autoregressive distributive lag (NARDL) framework and causality tests for the period 2000 M1–2021 M5. The results show that the different types of uncertainty affect food price stability in the short and long run, but the shock is more pronounced in the case of pandemic uncertainty, as they are sudden and disrupt food price stability. The main findings remain significant when we use various alternative methods and estimation techniques. However, our results suggest that the Togolese food market is facing pandemic uncertainty and trade policy, which should lead policymakers and stakeholders to take corrective measures to control losses.

Suggested Citation

  • Kuamvi Sodji, 2023. "Estimating the link between trade uncertainty, pandemic uncertainty and food price stability in Togo: New evidence for an asymmetric analysis," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 1113-1134, May.
  • Handle: RePEc:bla:rdevec:v:27:y:2023:i:2:p:1113-1134
    DOI: 10.1111/rode.12963
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rode.12963
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rode.12963?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    2. Giordani, Paolo E. & Rocha, Nadia & Ruta, Michele, 2016. "Food prices and the multiplier effect of trade policy," Journal of International Economics, Elsevier, vol. 101(C), pages 102-122.
    3. Nartea, Gilbert V. & Bai, Hengyu & Wu, Ji, 2020. "Investor sentiment and the economic policy uncertainty premium," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).
    4. Kalle Hirvonen & Bart Minten & Belay Mohammed & Seneshaw Tamru, 2021. "Food prices and marketing margins during the COVID‐19 pandemic: Evidence from vegetable value chains in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 407-421, May.
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. Xiaoyong Xiao & Qingsong Tian & Shuxia Hou & Chongguang Li, 2019. "Economic policy uncertainty and grain futures price volatility: evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(4), pages 642-654, August.
    7. Libo Yin & Liyan Han, 2014. "Macroeconomic uncertainty: does it matter for commodity prices?," Applied Economics Letters, Taylor & Francis Journals, vol. 21(10), pages 711-716, July.
    8. Donald A. P. Bundy & Nilanthi de Silva & Susan Horton & Dean T. Jamison & George C. Patton, 2017. "Disease Control Priorities, Third Edition," World Bank Publications - Books, The World Bank Group, number 28876.
    9. Luca Rigotti & Chris Shannon, 2005. "Uncertainty and Risk in Financial Markets," Econometrica, Econometric Society, vol. 73(1), pages 203-243, January.
    10. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    11. Diao, Xinshen & Mahrt, Kristi, 2020. "Assessing the impact on household incomes and poverty of declines in remittances due to COVID-19," Myanmar SSP policy notes 6, International Food Policy Research Institute (IFPRI).
    12. Chinedu Obi & Fabio Bartolini & Marijke D’Haese, 2020. "International migration, remittance and food security during food crises: the case study of Nigeria," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 207-220, February.
    13. Arnade, Carlos & Cooke, Bryce & Gale, Fred, 2017. "Agricultural price transmission: China relationships with world commodity markets," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 28-40.
    14. Broadstock, David C. & Zhang, Dayong, 2019. "Social-media and intraday stock returns: The pricing power of sentiment," Finance Research Letters, Elsevier, vol. 30(C), pages 116-123.
    15. Qin, Meng & Su, Chi-Wei & Tao, Ran, 2021. "BitCoin: A new basket for eggs?," Economic Modelling, Elsevier, vol. 94(C), pages 896-907.
    16. Maria Eugenia Genoni, 2012. "Health Shocks and Consumption Smoothing: Evidence from Indonesia," Economic Development and Cultural Change, University of Chicago Press, vol. 60(3), pages 475-506.
    17. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    18. Hailemariam, Abebe & Smyth, Russell & Zhang, Xibin, 2019. "Oil prices and economic policy uncertainty: Evidence from a nonparametric panel data model," Energy Economics, Elsevier, vol. 83(C), pages 40-51.
    19. Charles N. Mock & Rachel Nugent & Olive Kobusingye & Kirk R. Smith, 2017. "Disease Control Priorities, Third Edition," World Bank Publications - Books, The World Bank Group, number 28576.
    20. Kim, Dukpa & Perron, Pierre, 2009. "Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses," Journal of Econometrics, Elsevier, vol. 148(1), pages 1-13, January.
    21. King K. Holmes & Stefano Bertozzi & Barry R. Bloom & Prabhat Jha, 2017. "Disease Control Priorities, Third Edition," World Bank Publications - Books, The World Bank Group, number 28659.
    22. Dorairaj Prabhakaran & Shuchi Anand & Thomas A. Gaziano & Jean-Claude Mbanya & Yangfeng Wu & Rachel Nugent, 2017. "Disease Control Priorities, Third Edition," World Bank Publications - Books, The World Bank Group, number 28875.
    23. Xiaoyong Xiao & Qingsong Tian & Shuxia Hou & Chongguang Li, 2019. "Economic policy uncertainty and grain futures price volatility: evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(4), pages 642-654, August.
    24. Qin, Meng & Su, Chi-Wei & Hao, Lin-Na & Tao, Ran, 2020. "The stability of U.S. economic policy: Does it really matter for oil price?," Energy, Elsevier, vol. 198(C).
    25. Imlak Shaikh & Toan Luu Duc Huynh, 2021. "Does disease outbreak news impact equity, commodity and foreign exchange market? Investors' fear of the pandemic COVID-19," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(4), pages 647-664, 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. Hu, Xin & Zhu, Bo & Zhang, Bokai & Zhou, Sitong, 2024. "Do internal and external risk spillovers of the food system matter for national food security?," Economic Modelling, Elsevier, vol. 136(C).

    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. Sun, Ting-Ting & Su, Chi-Wei & Mirza, Nawazish & Umar, Muhammad, 2021. "How does trade policy uncertainty affect agriculture commodity prices?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    2. Cao, Yan & Cheng, Sheng & Li, Xinran, 2023. "How economic policy uncertainty affects asymmetric spillovers in food and oil prices: Evidence from wavelet analysis," Resources Policy, Elsevier, vol. 86(PB).
    3. Chen, Xiaowei & Chong, Wing Fung & Feng, Runhuan & Zhang, Linfeng, 2021. "Pandemic risk management: Resources contingency planning and allocation," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 359-383.
    4. Wen, Jun & Khalid, Samia & Mahmood, Hamid & Zakaria, Muhammad, 2021. "Symmetric and asymmetric impact of economic policy uncertainty on food prices in China: A new evidence," Resources Policy, Elsevier, vol. 74(C).
    5. Long, Shaobo & Li, Jieyu & Luo, Tianyuan, 2023. "The asymmetric impact of global economic policy uncertainty on international grain prices," Journal of Commodity Markets, Elsevier, vol. 30(C).
    6. Chowdhury, Mohammad Ashraful Ferdous & Meo, Muhammad Saeed & Aloui, Chaker, 2021. "How world uncertainties and global pandemics destabilized food, energy and stock markets? Fresh evidence from quantile on quantile regressions," International Review of Financial Analysis, Elsevier, vol. 76(C).
    7. Bakhsh, Satar & Zhang, Wei, 2023. "How does natural resource price volatility affect economic performance? A threshold effect of economic policy uncertainty," Resources Policy, Elsevier, vol. 82(C).
    8. Adediran, Idris A. & Yinusa, Olalekan D. & Lakhani, Kanwal Hammad, 2021. "Where lies the silver lining when uncertainty hang dark clouds over the global financial markets?," Resources Policy, Elsevier, vol. 70(C).
    9. Amare, Mulubrhan & Abay, Kibrom A. & Tiberti, Luca & Chamberlin, Jordan, 2021. "COVID-19 and food security: Panel data evidence from Nigeria," Food Policy, Elsevier, vol. 101(C).
    10. Nima Nonejad, 2024. "Point forecasts of the price of crude oil: an attempt to “beat” the end-of-month random-walk benchmark," Empirical Economics, Springer, vol. 67(4), pages 1497-1539, October.
    11. Liu, Fangying & Su, Chi Wei & Tao, Ran & Umar, Muhammad, 2023. "The instability of U.S. economic policy: A hindrance or a stimulus to green financing?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 33-46.
    12. Wang, Yilei & Cheng, Sheng & Cao, Yan, 2022. "How does economic policy uncertainty respond to the global oil price fluctuations? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 79(C).
    13. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    14. Ruixin Su & Jianguo Du & Fakhar Shahzad & Xingle Long, 2020. "Unveiling the Effect of Mean and Volatility Spillover between the United States Economic Policy Uncertainty and WTI Crude Oil Price," Sustainability, MDPI, vol. 12(16), pages 1-12, August.
    15. Zhuo Chen & Bo Yan & Hanwen Kang, 2023. "Price bubbles of agricultural commodities: evidence from China’s futures market," Empirical Economics, Springer, vol. 64(1), pages 195-222, January.
    16. Vuong, Giang Thi Huong & Nguyen, Manh Huu & Huynh, Anh Ngoc Quang, 2022. "Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    17. Sheng Cheng & Wei Liu & Qisheng Jiang & Yan Cao, 2023. "Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of China and Global Oil Prices in Time–Frequency Domains," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1593-1616, April.
    18. Manel Youssef & Khaled Mokni & Ahdi Noomen Ajmi, 2021. "Dynamic connectedness between stock markets in the presence of the COVID-19 pandemic: does economic policy uncertainty matter?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    19. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    20. Huang, Jianbai & Li, Yingli & Zhang, Hongwei & Chen, Jinyu, 2021. "The effects of uncertainty measures on commodity prices from a time-varying perspective," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 100-114.

    More about this item

    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:bla:rdevec:v:27:y:2023:i:2:p:1113-1134. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1363-6669 .

    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.