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2.
Social Behavior and Personality ; 51(3):1-13, 2023.
Article in English | ProQuest Central | ID: covidwho-2288856

ABSTRACT

This research investigated how mental fatigue is associated with moral judgments during the COVID-19 pandemic and studied the moderating effect of social support. We used self-report questionnaires to collect data from 4,042 people. We assessed peoples mental fatigue and social support during the pandemic, and designed nine moral dilemmas based on the background of COVID-19 to measure peoples moral judgments. The results showed that during the COVID-19 pandemic mental fatigue had a significant impact on moral judgments. Individuals with higher mental fatigue were more likely to make more utilitarian choices, while social support moderated the relationship between mental fatigue and moral judgments. When experiencing mental fatigue, individuals with low, compared to high, social support are more likely to rely on utilitarianism to make moral judgments.

3.
Stat Anal Data Min ; 2022 Apr 04.
Article in English | MEDLINE | ID: covidwho-2237163

ABSTRACT

Coronavirus 2019 (COVID-19) has caused violent fluctuation in stock markets, and led to heated discussion in stock forums. The rise and fall of any specific stock is influenced by many other stocks and emotions expressed in forum discussions. Considering the transmission effect of emotions, we propose a new Textual Multiple Auto Regressive Moving Average (TM-ARMA) model to study the impact of COVID-19 on the Chinese stock market. The TM-ARMA model contains a new cross-textual term and a new cross-auto regressive (AR) term that measure the cross impacts of textual emotions and price fluctuations, respectively, and the adjacent matrix which measures the relationships among stocks is updated dynamically. We compute the textual sentiment scores by an emotion dictionary-based method, and estimate the parameter matrices by a maximum likelihood method. Our dataset includes the textual posts from the Eastmoney Stock Forum and the price data for the constituent stocks of the FTSE China A50 Index. We conduct a sliding-window online forecast approach to simulate the real-trading situations. The results show that TM-ARMA performs very well even after the attack of COVID-19.

4.
J Rural Stud ; 95: 373-381, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2041979

ABSTRACT

The concept of resilience gains prominence as human society faces more frequent and impactful shocks and disturbances. This study seeks to investigate how rural populations build resilience amid the COVID-19 pandemic. A simple theoretical model is presented to illustrate the determinants of knowledge acquisition and precautionary behaviors among rural residents. Based on a High Frequency Phone Survey of 10,583 Latin American adults, this study found that rural residents were less capable of using informal channels (e.g., the internet) to collect COVID-19 information. Younger generations were generally less likely to adopt precautionary behaviors than the elderly. The age disparity, however, was relatively minor for rural populations. Costly preventive measures such as staying at home are less affordable for rural residents. Meanwhile, confidence in government ensures better compliance to ensure public health guidelines. We argue that internet skills, prosociality, and political confidence are necessary to build rural residents' resilience during the pandemic.

5.
Sustain Cities Soc ; 73: 103133, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1294232

ABSTRACT

In 2020, the COVID-19 pandemic has spread worldwide. To alleviate this spread, various blockade policies have been implemented in many areas. This has led to a sluggish demand in the world's major economies, sharp drop in the trade index, and negative growth in energy consumption. To formulate a better epidemic prevention policy for urban energy consumption of commercial tourism cities, this study summarizes the major statistics of energy supply and demand before and during the epidemic period based on actual data. The characteristics of energy consumption in different sectors, including hotels, transportation, tourism culture, and public utilities, are then analyzed in detail. Finally, the energy consumption features of commercial tourism cities represented by Macao are compared to those of other typical countries (e.g., Italy, United States, Japan, and Brazil). These analyses demonstrate the impact of COVID-19 on the energy consumption in commercial tourism cities, which provides insights for the government or energy providers to formulate policies to adapt to this pandemic.

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