IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/109021.html
   My bibliography  Save this paper

Modeling the Social Economy of Pandemics in China: An Input-Output Approach

Author

Listed:
  • Khan, Haider
  • Szymanski-Burgos, Adam

Abstract

COVID-19 impacts have exacerbated socioeconomic inequalities and the threat of hunger and absolute poverty for vulnerable populations globally. China, as the most important Southern engine of growth, is a complex case. In taking countervailing measures for economic recovery and public health protection, the Chinese case is interesting for several reasons. First, from a public health perspective, what was distinctive about the Chinese policy and what have been the consequences so far? Second, what economic policy measures have led to a V-shaped recovery? Finally, what is the further prognosis for the Chinese Economy for the next few years? Our analysis highlights the salience of considering development and the economic and social shocks of pandemics from a Socially Embedded Intersectional Approach (SEICA) perspective. Using an economy-wide modelling methodology, we are able to draw conclusions that may be relevant for the case of other economies in various stages of development, particularly those with sharply uneven development patterns and large rural populations.

Suggested Citation

  • Khan, Haider & Szymanski-Burgos, Adam, 2021. "Modeling the Social Economy of Pandemics in China: An Input-Output Approach," MPRA Paper 109021, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:109021
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/109021/1/MPRA_paper_109021.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kerry Liu, 2021. "COVID-19 and the Chinese economy: impacts, policy responses and implications," International Review of Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 308-330, March.
    2. Gradín, Carlos & Wu, Binbin, 2020. "Income and consumption inequality in China: A comparative approach with India," China Economic Review, Elsevier, vol. 62(C).
    3. Kerry Liu, 2019. "China's reserve requirements and their effects on economic output and assets markets during 2008-2018," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 12(3), pages 212-232.
    4. Khan, Haider, 2021. "COVID-19 in South Africa: An Intersectional Perspective based on Socio-economic Modeling and Indigenous Knowledge Base," MPRA Paper 108321, University Library of Munich, Germany.
    5. Yi Wen & Xin Wang, 2013. "Multiplier Effects of Government Spending: A Tale of China," 2013 Meeting Papers 214, Society for Economic Dynamics.
    6. C. Cindy Fan, 1997. "Uneven development and beyond: regional development theory in post‐Mao China," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 21(4), pages 620-639, December.
    7. Brandt, Loren & Ma, Debin & Rawski, Thomas G., 2016. "Industrialization in China," IZA Discussion Papers 10096, Institute of Labor Economics (IZA).
    8. Haider A. Khan, 1998. "Technology, Development and Democracy," Books, Edward Elgar Publishing, number 1247.
    Full references (including those not matched with items on IDEAS)

    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. Khan, Haider, 2023. "Socialism or Barbarism in the 21st Century? China vs. Global North during Capitalist (COVID) Crisis, Inequality and Poverty," MPRA Paper 117227, University Library of Munich, Germany.
    2. Haider, Khan & Szymanski-Burgos, Adam, 2021. "COVID-19 and Strategic Sectors in Brazil: A Socially-Embedded Intersectional Capabilities Approach," MPRA Paper 109022, University Library of Munich, Germany.
    3. Fulong Wu, 2016. "China's Emergent City-Region Governance: A New Form of State Spatial Selectivity through State-orchestrated Rescaling," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 40(6), pages 1134-1151, November.
    4. Xiaowei Jiang & Brandon Mastromartino & Qian Yang & Jianwei Zhang & James J. Zhang, 2022. "Influence of Consumer Interaction and Community Relationships on Value Co-Creation Willingness: A Mediation Model of Chinese Sports Brands," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    5. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    6. Shasha Lu & Xingliang Guan & Chao He & Jiali Zhang, 2014. "Spatio-Temporal Patterns and Policy Implications of Urban Land Expansion in Metropolitan Areas: A Case Study of Wuhan Urban Agglomeration, Central China," Sustainability, MDPI, vol. 6(8), pages 1-26, July.
    7. Zhu Pengcheng, 2022. "A Study of Factor of Housing Costs and Cost Effectiveness of Real Estate Enterprises in China," International Journal of Science and Business, IJSAB International, vol. 6(1), pages 43-57.
    8. Khan, Haider, 2023. "China’s Augmented National Innovation System (ANIS) and the Future: A Nonlinear Complex Systems Model with Application to Semiconductors and AI," MPRA Paper 116836, University Library of Munich, Germany.
    9. Jianxu Liu & Xiaoqing Li & Shutong Liu & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Addressing Rural–Urban Income Gap in China through Farmers’ Education and Agricultural Productivity Growth via Mediation and Interaction Effects," Agriculture, MDPI, vol. 12(11), pages 1-23, November.
    10. Chousa, Juan Pineiro & Khan, Haider A. & Melikyan, Davit & Tamazian, Artur, 2005. "Assessing institutional efficiency, growth and integration," Emerging Markets Review, Elsevier, vol. 6(1), pages 69-84, April.
    11. Tushar Agrawal & Ankush Agrawal, 2023. "Beyond Consumption Expenditure: Income Inequality and Its Sources in India," Progress in Development Studies, , vol. 23(1), pages 7-27, January.
    12. Zheng, Jingling & Li, Zeyun & Ghardallou, Wafa & Wei, Xuecheng, 2023. "Natural resources and economic performance: Understanding the volatilities caused by financial, political and economic risk in the context of China," Resources Policy, Elsevier, vol. 84(C).
    13. Pi‐Han Tsai & Chien‐Yu Huang & Tsun‐Feng Chiang, 2020. "Fiscal Expenditure And Industrial Land Price In China: Theory And Evidence," Contemporary Economic Policy, Western Economic Association International, vol. 38(4), pages 593-606, October.
    14. Michael Dunford & Boyang Gao & Weidong Liu, 2021. "Geography and the theory of uneven and combined development: Theorizing uniqueness and the return of China," Environment and Planning A, , vol. 53(5), pages 890-916, August.
    15. Caitlin Allen Whitehead & Haroon Bhorat, 2021. "Understanding Economic Complexity: An Application to the MER Sector," Working Papers 202105, University of Cape Town, Development Policy Research Unit.
    16. Khan, Haider A., 2011. "Human development and capabilities in MENA economies with special emphasis on Egypt," MPRA Paper 39381, University Library of Munich, Germany.
    17. Dario Judzik & Haider A Khan & Laura T Spagnolo, 2016. "Social capabilities–based flexicurity for a learning economy," The Economic and Labour Relations Review, , vol. 27(3), pages 333-348, September.
    18. Khan, Haider A, 2010. "Development Strategies: Lessons from the Experiences of South Korea, Malaysia, Thailand and Vietnam," WIDER Working Paper Series 010, World Institute for Development Economic Research (UNU-WIDER).
    19. Yun Li & Ming Xu & Juncheng Dai & Zhenshan Yang & Zhe Cheng, 2023. "Examining the Impact of Infrastructure Financialization on Uneven Regional Development: Evidence from China," Land, MDPI, vol. 12(3), pages 1-12, March.
    20. Haichao Fan & Zheng Fang & Bihong Huang & Mohan Zhou, 2022. "Prevalence of SOEs and intergenerational income persistence: Evidence from China," The World Economy, Wiley Blackwell, vol. 45(1), pages 276-291, January.

    More about this item

    Keywords

    Input-output; China; Development; Covid-19; Socially Embedded Intersectional Approach;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy
    • P0 - Political Economy and Comparative Economic Systems - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

    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:pra:mprapa:109021. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.