Analysis of economic forecasting in the post-epidemic era: evidence from China

被引:3
作者
Li, Xin [1 ]
机构
[1] Beijing Technol & Business Univ, Sch Math & Stat, Beijing 100048, Peoples R China
关键词
D O I
10.1038/s41598-022-19011-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper presents a predictive analysis of the Chinese economy in the post-epidemic era. Five major public health emergencies historically similar to the COVID-19 epidemic are used as the control group, and a fuzzy mathematical model is applied to forecast and analyze China's economy after the COVID-19 epidemic. The forecast results show that China's overall economy will have recovered to the pre-epidemic level in about 1 year, with the fastest recovery in individual economic indicators, followed by government final consumption and imports, then CPI, fiscal revenue, exports and money supply, and the slowest recovery in employment. Finally, a combination of all the parties makes policies and recommendations for China's economic and social development in the post-epidemic era.
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页数:9
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共 31 条
  • [11] Business Return in New Orleans: Decision Making Amid Post-Katrina Uncertainty
    Lam, Nina S. N.
    Pace, Kelley
    Campanella, Richard
    LeSage, James
    Arenas, Helbert
    [J]. PLOS ONE, 2009, 4 (08):
  • [12] The Economic Recovery from Traffic Restriction Policies during the COVID-19 through the Perspective of Regional Differences and Sustainable Development: Based on Human Mobility Data in China
    Li, Yawen
    Yang, Yushan
    Luo, Guorong
    Huang, Jizhou
    Wu, Tian
    [J]. SUSTAINABILITY, 2022, 14 (11)
  • [13] Liqing LI., 2022, INT J DISAST RISK RE, V77, P1
  • [14] China macroeconomic report 2020: China's macroeconomy is on the rebound under the impact of COVID-19
    Liu, Xiaoguang
    Liu, Yuanchun
    Yan, Yan
    [J]. ECONOMIC AND POLITICAL STUDIES-EPS, 2020, 8 (04): : 395 - 435
  • [15] Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic
    Long, Jed A.
    Ren, Chang
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2022, 91
  • [16] Oshinubi K., 2022, ORIGINAL RES, V7, P1
  • [17] Qiu Y, 2020, J POPUL ECON, V33, P1127, DOI [10.1007/s00148-020-00778-2, 10.1101/2020.03.13.20035238]
  • [18] Robert J., 2020, NONPHARMACEUTICAL IN, V27049, P1
  • [19] Saaty TL., 2008, INT J SERV SCI, V1, P83, DOI [DOI 10.1504/IJSSCI.2008.017590, 10.1108/JMTM-03-2014-0020, DOI 10.1108/JMTM-03-2014-0020]
  • [20] A natural interpretation of fuzzy sets and fuzzy relations
    Shimoda, M
    [J]. FUZZY SETS AND SYSTEMS, 2002, 128 (02) : 135 - 147