首页    期刊浏览 2024年07月07日 星期日
登录注册

文章基本信息

  • 标题:Evaluation of economic recovery capability under the background of COVID-19: application of a big data information processing model
  • 本地全文:下载
  • 作者:Yufeng Shi ; Jiaohui Tang ; Dan Wan
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2022
  • 卷号:355
  • 页码:1-8
  • DOI:10.1051/matecconf/202235502050
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:In order to promote local economic recovery under the COVID-19 pandemic, this paper first constructs a big data information processing model, then measure the growth of GDP and fiscal revenue driven by consumption, investment and export in Guangdong province. The measurement results show that under the stimulus of consumption, investment and export of the same intensity, Guangzhou, Shenzhen and Foshan perform better in the GDP index, while Shenzhen, Shaoguan and Qingyuan perform better in the fiscal revenue index. To this end, local governments should give priority to Guangzhou, Shenzhen, Foshan, Shaoguan and Qingyuan to take effective economic stimulus measures to achieve faster growth in GDP and fiscal revenue. The research results are of practical significance for guiding local governments to implement precise policies to promote the process of economic recovery.
  • 关键词:COVID-19;Local economy;Measurement model
国家哲学社会科学文献中心版权所有