scholarly journals Ethical Attitudes toward COVID-19 Passports: Evidences from Spain

2021 ◽  
Vol 18 (24) ◽  
pp. 13098
Author(s):  
Mario Arias-Oliva ◽  
Jorge Pelegrín-Borondo ◽  
Ala Ali Almahameed ◽  
Jorge de Andrés-Sánchez
Keyword(s):  
Regression Analysis ◽  
Smart City ◽  
Positive Attitude ◽  
The Other ◽  
Sufficient Condition ◽  
Ethical Judgments ◽  
Multidimensional Ethics Scale ◽  
User Attitudes ◽  
The Impact ◽  
Positive Evaluation

A so-called COVID-19 passport or Immunity passport (IP) has been proposed to facilitate the mobility of individuals while the SARS-CoV-2 pandemic persists. A COVID-19 passport can play a key role in the control of the pandemic, specifically in areas with a high density of population, and the help of smart city technology could be very useful to successfully implement IPs. This research studies the impact of ethical judgments on user attitudes toward using vaccine passports based on a Multidimensional Ethics Scale (MES) that contains five ethical constructs: moral equity, relativism, egoism, utilitarianism, and contractualism. Regression analysis shows that MES satisfactorily explains attitude (R2 = 87.82%, p < 0.001) and that a positive evaluation in moral equity, egoism and utilitarianism is significant (p < 0.001). The objective of the passport (variable leisure) shows a significant negative moderating effect on moral equity (coefficient = −0.147, p = 0.0302) and a positive one on relativism (coefficient = 0.158, p = 0.0287). Adjustment by means of fsQCA shows that five ethical constructs satisfactorily explain both favorable and unfavorable attitudes toward IPs. Solutions explaining acceptance attain an overall consistency (cons) = 0.871 and coverage (cov) = 0.980. In the case of resistance, we found that cons = 0.979 and cov = 0.775. However, that influence is asymmetrical. To have a positive attitude toward the passport, it is a sufficient condition to attain a positive evaluation on a single ethical factor. On the other hand, when explaining resistance, and with the exception of the recipe ~utilitarianism (cons = 0.911 and cov = 0.859), explanatory prime implications require the interaction of at least two variables. Likewise, the context in which the passport is required is significant to explain rejection.

THE IMPACT OF TERRORISM ON TURKISH BANKS’ STOCKS AND CROSS-BANK VARIATION OF ABNORMAL RETURNS

2020 ◽  
Vol 20 (02) ◽  
pp. 2050011
Author(s):  
EDA ORHUN
Keyword(s):  
Regression Analysis ◽  
Event Study ◽  
Banking Sector ◽  
Terrorist Attack ◽  
Abnormal Returns ◽  
Income Level ◽  
The Other ◽  
Terrorist Attacks ◽  
Study Analysis ◽  
The Impact

This paper investigates the impact of the recent terrorist attacks on the Turkish banking sector. Specifically, an event study analysis is executed to estimate the abnormal returns of banks’ stocks in Turkey. According to the results, negative and significant abnormal returns were observed on the event dates of terrorist attacks, those of which especially occurred at international points and touristic places. The study continues with a regression analysis that looks into the cross-bank variation of abnormal returns by using important bank characteristics as predictors. The regression analysis exhibits that banks with higher leverage and larger size are prone to getting more negatively affected by the terrorist attack. On the other hand, banks with higher liquidity and higher income level are likely to have less negative abnormal returns.

scholarly journals How COVID-19 Lockdown Impacted on Mobility and Environmental data

2021 ◽  
pp. 3-13
Author(s):  
Claudio Badii ◽  
Pierfrancesco Bellini ◽  
Stefano Bilotta ◽  
Bologna Daniele ◽  
Cenni Claudio ◽  
...  
Keyword(s):  
Smart City ◽  
Imperial College ◽  
Environmental Data ◽  
The Other ◽  
Data Collector ◽  
Global Mobility ◽  
Other Hand ◽  
Main Effects ◽  
The Impact ◽  
Mobility Reduction

According to the COVID-19 lockdown and successive reopening a number of facts can be analysed. The main effects have been detected on: mobility and environment, and specifically on traffic, environmental data and parking. The mobility reduction has been assessed to be quite coherent with respect to what has been described by Google Global mobility report. On the other hand, in this paper a number of additional aspects have been put in evidence providing detailed aspects on mobility and parking that allowed us to better analyse the impact of the reopening on an eventual revamping of the infection, also taking into account of the Rt index. To this end, the collected data from the field have been compared from those of Google and some considerations with respect to the Imperial college Report 20 have been derived. For the pollutant aspects, a relevant reduction on most of them has been measured and rationales are reported. The solution has exploited the Snap4City IOT smart city infrastructure and data collector and Dashboard in place in Tuscany.

Bicycle Sharing and Public Transit

2015 ◽  
Vol 2534 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Ting Ma ◽  
Chao Liu ◽  
Sevgi Erdoğan
Keyword(s):  
Regression Analysis ◽  
Public Transit ◽  
Policy Implications ◽  
The Other ◽  
Quantitative Studies ◽  
Other Hand ◽  
Transit Ridership ◽  
The World ◽  
The Impact

Bicycle-sharing programs have emerged around the world. Theoretically, the effect of bicycle sharing on more conventional transit modes can take a substitute or complementary form. On one hand, bicycle sharing could substitute for conventional transit as a convenient and sustainable travel option. On the other hand, bicycle sharing may complement such transit by seamlessly connecting transit stations with origins and destinations and thus increase accessibility. However, the questions of how and to what extent bicycle-sharing programs affect public transit ridership remain to be answered, despite the attempts of a few empirical and quantitative studies. This study examined the impact of the Capital Bikeshare (CaBi) program on Metrorail's ridership in Washington, D.C. When CaBi trips were mapped, it was observed that Metrorail stations had been important origins and destinations for CaBi trips. Six of seven CaBi stations producing more than 500 trips were located close to Metrorail stations. This study conducted a regression analysis and found that public transit rider-ship was positively associated with CaBi ridership at the station level. A 10% increase in annual CaBi ridership contributed to a 2.8% increase in average daily Metrorail ridership. On the basis of these results, policy implications and recommendations are discussed.

scholarly journals SIKAP DAN PERILAKU MASYARAKAT WAJIB PAJAK DALAM PEMBAYARAN PBB DI SUMATERA BARAT

2018 ◽  
Author(s):  
Firman - Firman
Keyword(s):  
Regression Analysis ◽  
Random Sampling ◽  
Income Tax ◽  
Positive Attitude ◽  
Property Tax ◽  
Negative Attitude ◽  
Analysis Data ◽  
The Other ◽  
The City ◽  
Cluster Random Sampling

The research aimed to expressed about : (1) the attitude of WPBB (Wajib Pajak Bumi dan Bangunan) in some of cities of West Sumatera. WPBB is people who had had to pay some of tax ,e.g : income tax, property tax an land tax, (2) the behavior of WPBB to pay taxation in the city of West Sumatera, and (3) the influence of bahavior to WPBB in paying taxation. The population of this research was people who had had to pay taxation. It used Purposive Cluster Random Sampling with 342 people. Collecting data using questionnaires. The data were analyzed by using procentage and regression analysis. The analysis data showed that : (1) 68,26 % of WPBB had had positive attitude to pay taxation. The other 30,99 % had had negative attitude and 0,43 % still doubt, 64,28 % of WPBB had had positive attitude in paying taxation, 28,76 % of them had negative attitude and 2 % still get doubt attitude, (3) the attitude cold gave influence to the behavior of WPBB in paying taxation as much as 25,5 %.

scholarly journals AN ANALYSIS OF COMPETITIVE CAPABILITIES AND ACCOMMODATION PERFORMANCE FOR SMALL AND MEDIUMSIZED ACCOMMODATIONS (SMSAs) IN EAST-COAST OF MALAYSIA DURING THE COVID-19 PANDEMIC

2021 ◽  
Author(s):  
Siti Nur ‘Atikah Zulkiffli ◽  
◽  
Siti Falindah Padlee ◽  
Nur Farah Zafira Zaidi ◽  
Noor Zatul Iffah Hussin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Human Resource ◽  
Hospitality Industry ◽  
East Coast ◽  
The Other ◽  
Business Climate ◽  
Competitive Capabilities ◽  
Two Factors ◽  
Hospitality Firms ◽  
The Impact

The COVID -19 pandemic has posed an unprecedented threat to the hospitality industry. Numerous hospitality firms have been impacted by strategies used to flatten the COVID-19 curve. Hospitality firms are required to significantly alter their operations in the COVID-19 business climate in order to secure industry survival and to mitigate the impact of the pandemic. As a result, this study focuses on small and medium-sized accommodations (SMSAs) on Malaysia’s East Coast, which are particularly hard hit by the pandemic. The study of SMSAs on Malaysia’s East Coast discovered that marketing and human resource management contribute significantly to accommodation performance, while the other two factors have a negligible effect on accommodation performance during this pandemic, as determined by multiple regression analysis.

scholarly journals Academic Dishonesty: Methods and the Influence of Psychological Gender

2019 ◽  
Vol 8 (2S9) ◽  
pp. 578-584
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Academic Dishonesty ◽  
The Other ◽  
Primary Data ◽  
Cheating Behavior ◽  
Assignment Completion ◽  
Other Hand ◽  
Psychological Gender ◽  
The Impact

The research seeks to investigate students rating of various forms of academic dishonesty and also examined the impact of psychological gender on cheating behavior among undergraduates in a Malaysian university. Primary data were sourced through the distribution of 363 questionnaires. Statistical analysis of the data revealed that the following cheating techniques have widely used them a. Using published materials without reference, copying the assignments, using unfair means for presenting data, getting unauthorized help for assignment completion and presenting others work. On the other hand, regression analysis on the psychological gender revealed that the instrumental traits tend to influence male to engage in academic dishonesty.

scholarly journals Does Smart City Development Promote Urbanization in India?

2021 ◽  
Author(s):  
Sabyasachi Tripathi
Keyword(s):  
Smart City ◽  
Urban Population ◽  
Smart Cities ◽  
Developed Countries ◽  
The Other ◽  
City Development ◽  
The World ◽  
Sustainable Economic Growth ◽  
The Impact ◽  
Positive Effect

The recent explosion of urbanization is mainly driven by the developing countries in the world. Therefore, urban planners in less developed countries face huge pressure to create planned urbanization which includes the higher provision of infrastructure and basic public services. The part of this planned urbanization ‘smart city’ development is one of the important initiatives taken by many countries and India is one of them. In terms of the size of the urban population through India ranked the second position in the world but in terms of the percentage of the urban population, it ranks very low. Therefore, to promote the urbanization Government of India (GoI) has taken ‘Smart Cities Mission’ initiatives for 100 cities in 2015. In this context, the present chapter quantitatively assesses the impact of smart city development on the urbanization in India. Urbanization is measured by the size, density, and growth rate of the population of the smart cities. On the other hand, we use factor analysis to create infrastructure index by considering city level total road length, number of latrines, water supply capacities, number of electricity connections, hospitals, schools, colleges, universities, banks, and credit societies. OLS regression analysis suggests that infrastructure has a strong positive effect on urbanization. Therefore, the smart city mission is very much essential for the promotion of urbanization in India. Finally, we suggest that we need to have more smart cities in the future so that a higher rate of urbanization promotes higher and sustainable economic growth.

scholarly journals The impact of board characteristics on earnings management

2021 ◽  
Vol 10 (3) ◽  
pp. 8-17
Author(s):  
Mahmoud Mohmad Aleqab ◽  
Maha Mohammad Ighnaim
Keyword(s):  
Regression Analysis ◽  
Earnings Management ◽  
Board Of Directors ◽  
Stock Exchange ◽  
The Other ◽  
Real Earnings Management ◽  
Board Members ◽  
Amman Stock Exchange ◽  
The Board Of Directors ◽  
The Impact

This study explores the effect of the board of directors’ characteristics on real earnings management in Jordanian non-financial companies listed on the Amman Stock Exchange. The sample size is 131 companies during the period of 2015–2017. The study uses a board of directors’ size, board members’ independence, board members’ financial experience, number of board meetings, membership in more than one board, and the ownership of board members of company shares to represent the board of directors’ characteristics. Real earnings management is measured using the Roychowdhury model (2006). A multiple regression analysis (panel data) is used to investigate the effect of the board of directors’ characteristics on real earnings management. The study found a negative and statistically significant impact for both: board members’ independence and board members’ financial experience on earnings management through real activities against the previous studies’ findings, this research measured the impact of real activities. On the other hand, the study did not find any statistically significant effect of the additional earnings management variables through actual activities

scholarly journals PENGARUH UPAH MINIMUM REGIONAL DAN RASIO INFRASTRUKTUR TERHADAPKESENJANGAN DISTRIBUSI PENDAPATAN DI INDONESIA

2020 ◽  
Vol 1 (2) ◽  
pp. 116-135
Author(s):  
Siti Nurul Noviana
Keyword(s):  
Regression Analysis ◽  
Minimum Wage ◽  
Gini Index ◽  
The Other ◽  
Data Regression ◽  
Independent Variable ◽  
The One ◽  
The Individual ◽  
The Impact ◽  
Distribution Of Income

This study aims to examine the impact of region minimum wage and infrastructure ratio onIncomeDistribution Gap in Indonesia. This study uses panel data for the period 2011-2017 and consists of 33provinces, except North Kalimantan Province because it is a new province. By using fixed effectpanel data regression analysis, with dependent variable is gini index. While independent variable areregional minimum wage and infrastructure ratio.On the one hand, based on hypothetical test, theresults show that the regional minimum wage and infrastructure ratio have a negative and significanteffect on the income distribution gap in Indonesia. On the other hand, based on the individual effectstest, the large islands such as Sumatera, Java, Kalimantan, Sulawesi, Bali, Maluku, and Papua have apositive effect on the gini ratio. This shows that there is an impact of the infrastructure ratio functionand regional minimum wages in increasing the distribution of income as measured by the gini index.

scholarly journals Intellectual capital: perceptions of productivity a and investment

2011 ◽  
Vol 15 (2) ◽  
pp. 249-260 ◽  
Author(s):  
Aristides Isidoro Ferreira ◽  
Luís Fructuoso Martinez
Keyword(s):  
Regression Analysis ◽  
Human Resources ◽  
Intellectual Capital ◽  
The Other ◽  
Organizational Productivity ◽  
Structural Capital ◽  
Other Hand ◽  
Customer Capital ◽  
The Impact

This study focuses on the influence intellectual capital has on employees' perceptions as related to both company investments and productivity levels. The data was obtained from 440 employees at 13 Portuguese companies. Both ANOVA and Regression Analysis were conducted in order to understand the impact three Intellectual Capital Scale components have on perceptions of investment and organizational productivity. Results show that companies with higher scores of Structural Capital have a lower perception of investment in human resources and research, as well as a higher perception of investment in marketing and sales. Moreover, employees of companies with higher Structural Capital scores also have higher perceptions of productivity. On the other hand, organizations with higher investment in Customer Capital tend to be associated with a lower perception of organizational productivity.

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