تاب‏ آوری اقتصادی و پاندمی کووید-19: یک رهیافت غیرخطی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش آموخته کارشناسی ارشد علوم اقتصادی، گروه علوم اقتصادی، دانشکده علوم انسانی و اجتماعی، سنندج، دانشگاه کردستان، ایران

2 استادیار، گروه علوم اقتصادی، دانشکده علوم انسانی و اجتماعی، دانشگاه کردستان، سنندج، ایران

3 استادیار گروه علوم اقتصادی، دانشکده علوم انسانی و اجتماعی، دانشگاه کردستان، سنندج، ایران.

4 دانشجوی دکتری اقتصاد، گروه توسعه اقتصادی و برنامه‌ریزی، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرس، تهران، ایران

چکیده

در سال های اخیر پاندمی کووید-19 به عنوان یک بحران جهانی آسیب هایی را به اقتصاد کشور‌ها وارد کرده است. در ادبیات اقتصادی توجه ویژه ایی به شاخص ترکیبی تاب آوری اقتصادی در برابر شوک های خارجی در راستای کمی کردن این مفهوم صورت گرفته است. هدف از این پژوهش، بررسی تأثیر پاندمی کووید-19 بر تاب آوری اقتصادی کشورها با سطوح درآمد‌ی بالا، متوسط و پایین است. این مطالعه برای 150 کشور و با استفاده از مدلPSTR ، در بازه زمانی 2021-2020 صورت گرفته است. برای انجام این پژوهش، شاخص تاب آوری اقتصادی با استفاده از روش بریگوگلیو محاسبه شده است. نتایج پژوهش حاضر حاکی از آن است که پاندمی کووید-19 اثر منفی و معنی‌دار بر تاب‌آوری اقتصادی کشورها دارد. نتایج آزمون خطی بودن، وجود رابطه غیر‌خطی بین متغیرها را تأیید می کند. با در نظر گرفتن یک تابع انتقال و یک پارامتر آستانه‌ای، می‌توان یک مدل دو رژیمی برای توضیح رابطه غیرخطی بین متغیرهای الگو در سه گروه کشورهای با درآمد بالا، متوسط و پایین بهینه‌سازی کرد. پارامتر شیب (سرعت انتقال) برای سه گروه کشور به ترتیب برابر 57/4 ، 00/5 و 12/8 است. نتایج برآورد مدل حاکی از آن است در هر دو رژیم خطی و غیرخطی، متغیر کووید-19‌ تأثیر منفی بر تاب آوری اقتصادی گروه کشورهای با درآمد بالا، متوسط و پایین داشته است. بدین معنی که افزایش در پاندمی کووید-19 منجر به کاهش میزان تاب آوری اقتصادی این گروه کشورها شده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Economic Resilience and the Covid-19 Pandemic: A Non-Linear Approach

نویسندگان [English]

  • Sedigheh Hossaini 1
  • Saman Ghaderi 2
  • zana mozaffari 3
  • Ramin Amani 4
1 M.Sc. in Economics, Department of Economics, Faculty of Humanities and Social Sciences, University of Kurdistan, Sanandaj, Iran
2 Assistant Professor, Department of Economics, Faculty of Humanities and Social Sciences, University of Kurdistan, Sanandaj, Iran.
3 Assistant Professor of Economics, University of Kurdistan, Sanandaj, Iran
4 Ph.D. Student in Economics, Department of Economic Development and Planning, Faculty of Management and Economics, University of Tarbiat Modares, Iran
چکیده [English]

Purpose: In recent years, the COVID-19 pandemic has imposed considerable harm on economies globally. This situation has prompted researchers to thoroughly examine the issue from different perspectives and view bolstering the resilience of countries as the most effective strategy to address the vulnerabilities. Such efforts can mitigate the harmful effects and negative outcomes of the disease. The susceptibility of economic systems to the shock of the COVID-19 pandemic varies, with some being significantly more vulnerable to its effects. In this context, the greater a country's ability to mobilize its resources against such risks, the more resilient it becomes. Hence, economic resilience is regarded as a comprehensive approach to enhancing the existing capacities and reducing economic vulnerability in the face of various crises and environmental threats. Moreover, economic resilience is shaped by the implementation of economic policies and has an accumulative nature. Individuals and different schools of thought have focused on the concept of resilience within the economic realm, structuring their studies accordingly. Economic resilience emerges as a pervasive criterion in the literature on economic stabilization.
In the economic discourse, particular emphasis is placed on assessing the composite index of economic resilience against external shocks, aiming to quantify this notion. This study sets out to investigate how the COVID-19 pandemic has impacted the economic resilience of countries across high, medium and low levels of income. Addressing 150 nations, this research employs the PSTR model over the timeframe spanning 2020 to 2021. The Economic Resilience Index is computed utilizing the Bruegel method for this inquiry.
 
Methodology: The PSTAR (Panel Smooth Transition Autoregressive) model is a powerful tool utilized to analyze nonlinearities and regime shifts in panel data. It extends traditional autoregressive models by allowing for smooth transitions between different states or regimes, thereby capturing complex dynamics in economic time series data.
The PSTAR model assumes that the relationship between variables evolves smoothly over time and across different regimes. It is particularly useful in capturing threshold effects, where the impacts of one or more variables on the dependent variable change abruptly beyond a certain threshold level. This is achieved through the specification of transition functions, which determine how the model transitions occur between different regimes based on the values of certain threshold variables. The PSTAR model estimation involves several steps, including the specification of transition functions, estimation of model parameters using maximum likelihood or other suitable methods, and diagnostic checks to assess the model's goodness-of-fit and validity of assumptions. Additionally, we conduct robustness checks and sensitivity analyses to ensure the reliability of our findings.
Findings and Discussion: This study reveals a significant negative impact of the COVID-19 pandemic on the economic resilience of countries across different income levels. Employing a two-regime model, the analysis demonstrates a nonlinear correlation among the variables, suggesting varied adjustment speeds among economic regimes. Specifically, countries with high incomes experience a moderate pace of adjustment, those with moderate incomes adjust slowly, and low-income countries adjust rapidly. This suggests that economic changes in response to the pandemic occur at different speeds across income groups.
The COVID-19 pandemic has induced structural and performance alterations in economies worldwide, including increased unemployment, reduced growth, and shifts in consumption and investment patterns. These changes, coupled with challenges such as quarantine restrictions and decreased incomes, have led to considerable adjustments in economic dynamics, varying in speed from one state to another.
Overall, economic changes during the pandemic are of significant diversity across countries, affecting consumption and production behaviors, policy frameworks, and international relations. Threshold values, representing critical points of pandemic severity, determine whether economic variables behave linearly or nonlinearly. When the pandemic's impact surpasses these thresholds, economic variables begin shifting to nonlinear regimes.
Estimations from the smooth panel regression approach indicate a notable negative effect of the pandemic on economic vulnerability, affecting countries with high, medium, and low incomes alike. Per capita GDP, remittances, and foreign direct investment emerge as key influencers of economic resilience. While per capita GDP decreases during the pandemic for high and medium-income countries, it increases in the second threshold regime and boosts economic resilience. Remittances positively impact economic resilience in high-income countries but negatively affect medium and low-income ones initially, transitioning to positive effects after crossing the threshold. Foreign direct investment initially reduces economic resilience across all income levels but becomes positive and significant in high-income countries after crossing the threshold.
In summary, the study underscores the complex interplay between the COVID-19 pandemic and economic resilience, emphasizing the need for tailored policy responses to mitigate its adverse effects across different income groups.
Conclusions and Policy Implications: Although the public health system is evolving, the world remains susceptible to shocks caused by contagious diseases that present fundamental challenges to economies. The vulnerability resulting from the COVID-19 pandemic has spurred countries to allocate more funds to ensure economic security and global health. Nations across the globe are working to reduce the economic impact of the COVID-19 crisis through well-balanced policies, seeking to mitigate risks to the society as much as possible. To tackle the COVID-19 crisis, extensive actions are being taken, including sharing knowledge and experiences regarding strategies, policies and improvement plans, examining common responses, and coordinating actions to enhance resilience and effective recovery preparedness. Strengthening communication among policymakers, development planners, and relevant stakeholders, establishing strong multilateral institutions with political support for global health shock coordination, creating fast financial procurement mechanisms for essential goods, increasing investment in disease surveillance at global and regional levels, developing regional production capacities for vaccines, tests and medicines, sharing medical technology and knowledge, and transferring medical technologies are the measures being taken. Additionally, strategic approaches to national improvement, including economic and financial measures, effective financial procurement design, and financial resource mobilization efforts to mitigate the effects of COVID-19, are being pursued. These measures aim to enhance the resilience and sustainability of public health systems and foster systematic research and development for the preparation of effective and safe vaccines against any virus. Therefore, based on the findings of this research and similar studies, policymakers need to focus on strengthening the economic resilience of countries, in addition to implementing other policies aimed at reducing the spread of and preventing the COVID-19 disease. These actions may include policies to strengthen healthcare infrastructure, develop economic and social crisis response plans, and encourage the development of human resources needed to combat the disease and its economic impacts.

کلیدواژه‌ها [English]

  • Economic Resilience
  • Covid-19 pandemic
  • Panel Smooth Transition Regression
Ali, M. J., Bhuiyan, A. B., Zulkifli, N., & Hassan, M. K. (2022). The COVID-19 pandemic: Conceptual framework for the global economic impacts and recovery. Towards a Post-Covid Global Financial System, 8(1), 225-242. Availabe in papers https://doi.org/10.1108/978-1-80071-625-420210012
Amani, R., Ghaderi, S., & Ahmadzadeh, K. (2022). Covid-19 and Inflation Rate: An Evidence for OECD Countries. Iranian Journal of Economic Studies11(1), 86-102.do10.22099/ijes.2023.43481.1825. [In Persian]
Amiri, H., Pirdadeh Biranvand, M., Norouzi Amooghin, M., Alizadeh, S., (2018). Estimating Economic Vulnerability and Resilience Indicators in Iran. Strategic Macro Policies Quarterly, 6(3), 434-455. [In Persian]
Asongu, S. A., Diop, S., & Nnanna, J. (2021). The geography of the effectiveness and consequences of Covid‐19 measures: Global evidence. Journal of Public Affairs, 21: 85-105
Barua, S., (2020), Understanding Coronanomics: The Economic Implications of the Coronavirus (COVID-19) Pandemic. SSRN Electronic Journal, 33(5): 68-93, DOI:10.2139/ssrn.3566477
Beck, T. (2020). Finance in the times of coronavirus. In Baldwin, R. and di Mauro, B.W.(eds).Economics in the Time of COVID-19. A VoxEU.org Book, Centre forEconomic Policy Research, London. Accessed 26March 2020at: Availabe in papers https://voxeu.org/system/files/epublication/COVID-19.pdf
Bloom, D. E., Kuhn, M., & Prettner, K. (2022). Modern infectious diseases: macroeconomic impacts and policy responses. Journal of Economic Literature, 60(1), 85-131.
Boissay, F., & Rungcharoenkitkul, P. (2020). Macroeconomic effects of Covid-19: an early review., Bank for International Settlements. 12(7), 148-171.
Boone, L. (2020). Tackling the fallout from COVID-19. In Baldwin, R. and di Mauro, B.W. (eds). (2020). Economics in the Time of COVID-19. A VoxEU.org Book, Centre for Economic Policy Research, London. Accessed 26 March https://voxeu.org/system/files/epublication/COVID-19.pdf
Briguglio, L. (2016). Exposure to External Shocks and Economic Resilience of Countries: Evidence from Global Indicators. Journal of Economic Studies, 43(6), 1057-1078.
Briguglio, L., Cordina, G., Farrugia, N., & Vella, S. (2008). Economic vulnerability and resilience. United Nations University (UNU). World Institute for Development Economics Research (WIDER). https://www.um.edu.mt/library/oar//handle/123456789/18562
Briguglio, L., G. Cordina, N. Farrugia and Vella, S., (2009). Economic Vulnerability and Resilience: Concepts and Measurements. Journal of Oxford Development Studies, 37 (3), 229–247
Briguglio, L., Cordina, G., Farrugia, N., Vella, S. (2006). Conceptualising andMeasuring Economic Reslience, in L. Briguglio, G. Cordina and E.J. Kisanga(eds.), Building the Economic Reslience of Small States, Malta: Islands andSmall States Institute of the University of Malta and London: Journal of Commonwealth Secretariat, 45(9), 265-288
Cecchetti, S.G. and Schoenholtz, K.L. (2020). Contagion: Bank runs and COVID-19. In Baldwin, R. and di Mauro, B.W. (eds). Economics in the Time of COVID-19. A VoxEU.org Book, Centre for Economic Policy Research, London. Accessed 26 March 2020 at: https://voxeu.org/system/files/epublication/COVID-19.pdf
Chiou.T. Y, KaiChan.H, Ettice. F, HoChung.S. (2011). The influence ofgreening the suppliers and green innovation on environmental performanceand competitive advantage in Taiwan’s Transportation. Research Part E: Logistics and Transportation Review. 47(6), 822-836.
Chitiga‐Mabugu, M., Henseler, M., Mabugu, R., & Maisonnave, H. (2021). Economic and distributional impact of COVID‐19: Evidence from macro‐micro modelling of the South African economy. South African Journal of Economics, 89(1), 82-94
Cochran, J.H. (2020). Coronavirus monetary policy. In Baldwin, R. and di Mauro, B.W. (eds). Economics in the Time of COVID-19. A VoxEU.org Book, Centre for Economic Policy Research, London. Accessed 26 March 2020 at: https://voxeu.org/system/files/epublication/COVID-19.pdf
Colletaz, G. and Hurlin, C. (2006). Threshold Effects of the Public CapitProductivity: An International Panel Smooth Transition Approach.Working Paper, 1/2006, LEO, Université d'Orléans,38(12) 423-448.
Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & Webb, J. (2008). A place-based model for understanding community resilience to natural disasters. Global environmental change, 18(4), 598-606.
Diop, S., Asongu, S. A., & Nnanna, J. (2021). Global health pandemics usually impact economies and indicate their degree of vulnerability resilience. International Social Science Journal, 71(S1), 37-50.
Dontoh, A., Elayan, F. A., Ronen, J., & Ronen, T. (2021). Unfair “Fair Value” in illiquid markets: Information spillover effects in times of crisis. Management Science, 67(8), 5163-5193.
Fernandes, N. (2020). Economic Effects of Coronavirus Outbreak (COVID-19) on the World Economy. March 22. Available at SSRN: https://ssrn.com/abstract=3557504
Fok, D., Van Dijk, D. & P. Franses (2004). A Multi- Level Panel STARModel for US Manufacturing Sectors. Working Paper, University ofRotterdam, 8(5), 98-110
Fornaro, L. and Wolf, M. (2020). Covid-19 Coronavirus and Macroeconomic Policy. Working Paper, Centre de Recerca en Economia Internacional (CREi). Accesed 27 March 2020 at: http://www.crei.cat/wp-content/uploads/2020/03/C19-1.pdf
Gonzalez, A., Terasvirta, T., Van Dijk, D. (2005). Panel Smooth TransitionRegression Models. SEE/EFI Working Paper Series in Economics and Finance 604: pp. 1-33
Guan, D., Wang, D., Hallegatte, S., Davis, S. J., Huo, J., Li, S.,... & Gong, P. (2020). Global supply-chain effects of COVID-19 control measures. Nature human behaviour, 4(6), 577-587.
Hansen, B. E. (1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93: 345-368.
Holding, P. A., & Snow, R. W. (2001). Impact of Plasmodium falciparum malaria on performance and learning: review of the evidence. The Intolerable Burden of Malaria: of the American Journal of Tropical Medicine and Hygiene. A New Look at the Numbers: Supplement to Volume 64 (1),89-108
Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136: 101922, 74-98
Ivanov, D., & Dolgui, A. (2021). OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications. International Journal of Production Economics, 23 (12), 221-245
Jude, E. (2010). Financial Development and Growth: A Panel SmoothRegression Approach, Journal of Economic Development, 35(8) 15-33.
Koulyound, P. H., & Kazemi, H. (2021). The Impact of COVID-19 on Mental Health, Socio-Economic Issues, and Social Relationships in Tehran: A Pilot Study. Shafa-ye-Khatam Quarterly, 9(2), 100-110. [In Persian]
Lee, A., & Cho, J. (2016). The impact of epidemics on labor market: identifying victims ofthe Middle EastRespiratory Syndrome in the Korean labor market. International journal forequity in health, 15(1), 196-210
Matani, H. (2019). Study of the Effects of the Corona Virus on the Global Economy. Scientific Quarterly Journal of Social Impact Assessment, 11(2), 163-181. [In Persian]
McKibbin, W., & Fernando, R. (2021). The global macroeconomic impacts of COVID-19: Seven scenarios. Asian Economic Papers, 20(2), 1-30
Novoa, R. I. B. (2021). Macro and Microeconomic Analysis of the Impact of the COVID-19 Pandemic in Chile and the Projections of the Central Banks. International research journal of management, IT and social sciences, 8(3), 236-245.
OECD. (2020c). Evaluating the initial impact of Covid-19 containment measures on economic activity, Availabe https://read.oecd-ilibrary.org
Rahimi, F. (2022). Investigating the Impact of the Coronavirus (COVID-19) on Economic Development and the Tourism Industry. Applied Economics Quarterly, 12(40), 53-65. [In Persian]
Rezagholizade, M., Jafari, H., & Abdolhosseini, M. (2023). Investigating the economic impact of non-pharmaceutical interventions by governments during the outbreak of the COVID-19: Acomparison of developed and developing countries. The Journal of Economic Policy,15(29), 40-79. [In Persian]
Ruiz Estrada, M. A., Koutronas, E., Park, D., Khan, A., & Tahir, M. (2022). The impact of COVID-19 on the economic performance of Wuhan, China (2019–2021). Quality & quantity,48(25) 1-16.
Sakhaei, E., Khorsandi, M., Mohammadi, T., & Arbab, H. (2020). Investigating the Effects of Shock Caused by Covid-19 Virus on Iran's Economy: A GVAR Approach. Journal of Economics and Modeling11(2), 125-153. doi: 10.29252/jem.2021.185229.1492 [In Persian]
Salvatore, D. (2020). Growth and trade in the United States and the world economy: Overview. Journal of Policy Modeling, 42(4), 750-759.
Schwartz, N.D. (2020). Coronavirus Recession Looms, Its Course‘Unrecognizable’. The New York Times. Accessed 27 March 2020.at:https://www.nytimes.com/2020/03/21/business/economy/coronavirus- recession.html
Shishegari, T., Memarnejad, A., & Ghaffari, S. (2022). Impacts of sanction on foreign Trade analyzed with the gravity model approach: A case study of Iran & Russia. The Journal of Economic Policy ,14(27), 215-245. [In Persian] 
Sodhi, M. S. (2016). Natural disasters, the economy and population vulnerability as a vicious cycle with exogenous hazards. Journal of sOperations Management, 45: 101-113
Taherinia, M., & Hasanvand, A. (2020). The Economic Consequences of COVID-19 on the Iranian Economy: Emphasizing Employment. Nursing Management Quarterly, 9(3), 168-188. [In Persian]
Taherpour, J. (2018). The Impact of Labor Productivity on Economic Resilience and Vulnerability. Journal of Economic Modeling Research, 31: 199-227. [In Persian]
Taherpour, J., & Amiri, S. (2018). The Position of Economic Vulnerability and Resilience of Iran Among Oil Countries. Majlis and Strategy Journal, 25(93), 121-148. [In Persian]
 Unrecognizable.The New York Times. Accessed 27 March 2020 at: https://www.nytimes.com/2020/03/21/business/economy/coronavirus recession.html.
Velde te, W. (2021). The economic impact of coronavirus: five lessons and challenges. In ph, MacCan&, Vorley (eds.). Productivity and the pandemic: challenges and insights from Covid-19.(pp. 1_21) (Vol. 8) London: Edward Elgar publishing.