Do the internet, economic growth, and environmental quality spur people's happiness during Covid-19 pandemic?

Authors

  • Dang Bui Hong Ho Chi Minh City University of Food Industry
  • Thang Do Van Ho Chi Minh City University of Food Industry
  • Ngoc Bui Hoang Ho Chi Minh City University of Food Industry

DOI:

https://doi.org/10.1285/i20705948v17n1p20

Keywords:

Bayesian inference, COVID-19 pandemic, happiness, economic growth, environmental quality

Abstract

Factors affecting people's happiness have attracted much attention in the context of the COVID-19 pandemic. This paper was conducted to investigate whether internet use, economic growth, and environmental quality improvements can ease psychological darns caused by the COVID-19 pandemic. In the context of Southeast countries, and by applying the Bayesian inference, the findings of this study are summarized: (i) internet use and economic growth positively drive people's happiness; (ii) the effect of environmental quality on happiness is unclear in the context of the COVID-19 pandemic. Based on this evidence, the study suggests practical implications for policymakers in boosting economic growth and enhancing people's happiness.

Author Biographies

Dang Bui Hong, Ho Chi Minh City University of Food Industry

Dr. Dang is the Vice-Rector of Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Vietnam. He is a expert in Human Resource Management.

Thang Do Van, Ho Chi Minh City University of Food Industry

Dr. Thang is a lecturer of Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Vietnam. He is a expert in economic development, and environmental pollution.

Ngoc Bui Hoang, Ho Chi Minh City University of Food Industry

Ngoc Ph.D. is a lecturer at the Faculty of Business Administration, Ho Chi Minh City University of Food Industry, Vietnam. He studies applied and theoretical econometrics. His research interests include tourism development, energy consumption, environmental pollution, institutions quality, sustainable development, and poverty. His research has chiefly been in the areas of the use of high-dimensional statistical methods in economic applications, by using dynamics spatial regression, autoregressive distributed lag, non-linear ARDL, Quantile ARDL, Quantile on Quantile, and Wavelet approaches. He has published 31 articles in journals listed in the SSCI, SCIE, and Scopus databases.

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Published

15-03-2024

Issue

Vol. 17 No. 1 (2024): Electronic Journal of Applied Statistical Analysis (Special Issue: Big Data in Economics' Applications)

Section

Special Issue - BigData2023

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