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Impact of COVID-19 on China's macroeconomy and agri-food system – an economy-wide multiplier model analysis

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  • Yumei Zhang
  • Xinshen Diao
  • Kevin Z. Chen
  • Sherman Robinson
  • Shenggen Fan

Abstract

Purpose - The purpose of this study is to assess the potential economic cost of the COVID-19 pandemic on China's macroeconomy and agri-food system and provide policy recommendations to stimulate economic growth and agri-food system development. Design/methodology/approach - An economy-wide multisector multiplier model built on China's most recent social accounting matrix (SAM) for 2017 with 149 economic sectors is used to assess the impact of COVID-19 on China's macroeconomy and agri-food system. SAM multiplier analysis focuses on supply chain linkages and captures the complexity of an interconnected economy. Findings - The paper finds that both the macroeconomy and agri-food systems are hit significantly by COVID-19. There are three main findings. First, affected by COVID-19, GDP decreased by 6.8% in the first quarter of 2020 compared with that in 2019, while the economic loss of the agri-food system is equivalent to 7% of its value added (about RMB 0.26 trillion). More than 46magri-food system workers (about 27% of total employment) lost their jobs to COVID-19 in the lockdown phase. The COVID-19 affects the employment of unskilled labor more than that of skilled labor. Second, when the economy starts to recover during the second and third quarters, the growth rate in the value added of the agri-food system turns positive but still modest. Many jobs resume during the period, but the level of agri-food system employment continues to be lower than the base. The agri-food system employment recovery is slower than that of other sectors largely due to the sluggish recovery of restaurants. Agri-food system employment drops by 8.6m, which accounts for about 33% of the total jobs lost. Third, although the domestic economy is expected to be normal in the fourth quarter, external demand still faces uncertainties due to the global pandemic. The agri-food system is projected to grow by 1.1% annually in 2020 with resuming export demand, while only by 0.4% without resuming export demand. These rates are much lower than an annual growth rate of 4.3% for the agri-food system in 2019. The results also show that, without resuming export demand, China's total economy will grow less than 1% in 2020, while, with export demand resumed, the growth rate rises to 1.7%. These rates are much lower than an annual GDP growth rate of 6.1% in 2019. Practical implications - The results show that continuously reducing economic dependency on exports and stimulating domestic demand are key areas that require policy support. The agri-food system can play an important role in supporting broad economic growth and job creation as SMEs are major part of the AFS. Job creation requires policies to promote innovation by entrepreneurs who run numerous SMEs in China. Originality/value - This paper represents the first systematic study assessing the impact of COVID-19 on China's agri-food system in terms of value added and employment. The assessment considers three phases of lockdown, recovery and normal phases in order to capture the full potential cost of COVID-19.

Suggested Citation

  • Yumei Zhang & Xinshen Diao & Kevin Z. Chen & Sherman Robinson & Shenggen Fan, 2020. "Impact of COVID-19 on China's macroeconomy and agri-food system – an economy-wide multiplier model analysis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 387-407, July.
  • Handle: RePEc:eme:caerpp:caer-04-2020-0063
    DOI: 10.1108/CAER-04-2020-0063
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    Citations

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    Cited by:

    1. Wenjin Long & Junxia Zeng & Tongquan Sun, 2021. "Who Lost Most Wages and Household Income during the COVID‐19 Pandemic in Poor Rural China?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(6), pages 95-116, November.
    2. Zainuddin, Muhamad Rias K V & Shukor, Md Shafiin & Zulkifli, Muhamad Solehuddin & Abdullah, Amirul Hamza, 2021. "Dynamics of Malaysia’s Bilateral Export Post Covid-19: A Gravity Model Analysis," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(1), pages 51-69.
    3. Wu, Jianxin & Zhan, Xiaoling & Xu, Hui & Ma, Chunbo, 2023. "The economic impacts of COVID-19 and city lockdown: Early evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 151-165.
    4. Mastronardi, Luigi & Cavallo, Aurora & Romagnoli, Luca, 2022. "How did Italian diversified farms tackle Covid-19 pandemic first wave challenges?," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    5. Rinaldi, Marta & Bottani, Eleonora, 2023. "How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy," International Journal of Production Economics, Elsevier, vol. 262(C).

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