The relationship between public attention and COVID-19: evidence from the big data analysis of Google trends-Reference-Cited by-同舟云学术

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The relationship between public attention and COVID-19: evidence from the big data analysis of Google trends

Published:2021-06-30 Issue: Volume: Page:1-8
ISSN:1350-4851
Container-title:Applied Economics Letters
language:en
Short-container-title:Applied Economics Letters

Author:

Lo Kai Lisa¹^ORCID,Liu Huizhu¹,Yang Minhua¹,Mi Jackson Jinhong¹

Affiliation:

1. School of Economics and Management, Shanghai Maritime University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Soft Science Research Funds

National Statistical Science Research

Publisher

Informa UK Limited

Subject

Economics and Econometrics

Link

https://www.tandfonline.com/doi/pdf/10.1080/13504851.2021.1948958

Reference13 articles.

1. Aksoy, C. G., M. Ganslmeier, and P. Poutvaara. 2020. “Public Attention and Policy Responses to COVID-19 Pandemic.” Available at SSRN 3638340.

2. Rationing social contact during the COVID-19 pandemic: Transmission risk and social benefits of US locations

3. Economic depression in the world

4. Potential Impacts of the SARS Outbreak on Taiwan's Economy

5. Google. 2020. “COVID-19 Community Mobility Reports.” https://www.google.com/covid19/mobility

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1. Online attention dynamics: The triangle framework of theory, big data and simulations;Expert Systems with Applications;2023-12

2. Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platforms;Kybernetes;2023-11-21

3. How do industries recover through Covid-19 pandemic? An empirical investigation on Chinese online recruitment data;Applied Economics Letters;2023-02-08

4. The effect of air pollution on Chinese green bond market: The mediation role of public concern;Journal of Environmental Management;2023-01

5. Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index;Land;2021-10-31

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