scholarly journals Tourism under the Early Phase of COVID-19 in Four APEC Economies: An Estimation with Special Focus on SARS Experiences

2020 ◽  
Vol 17 (20) ◽  
pp. 7543
Author(s):  
Bao-Linh Tran ◽  
Chi-Chung Chen ◽  
Wei-Chun Tseng ◽  
Shu-Yi Liao
Keyword(s):  
Hong Kong ◽  
New Zealand ◽  
Fixed Effects ◽  
Negative Impact ◽  
Asia Pacific ◽  
International Tourism ◽  
Special Focus ◽  
Tourism Demand ◽  
Data Set ◽  
The Impact

This study examines how experience of severe acute respiratory syndrome (SARS) influences the impact of coronavirus disease (COVID-19) on international tourism demand for four Asia-Pacific Economic Cooperation (APEC) economies, Taiwan, Hong Kong, Thailand, and New Zealand, over the 1 January–30 April 2020 period. To proceed, panel regression models are first applied with a time-lag effect to estimate the general effects of COVID-19 on daily tourist arrivals. In turn, the data set is decomposed into two nation groups and fixed effects models are employed for addressing the comparison of the pandemic-tourism relationship between economies with and without experiences of the SARS epidemic. Specifically, Taiwan and Hong Kong are grouped as economies with SARS experiences, while Thailand and New Zealand are grouped as countries without experiences of SARS. The estimation result indicates that the number of confirmed COVID-19 cases has a significant negative impact on tourism demand, in which a 1% COVID-19 case increase causes a 0.075% decline in tourist arrivals, which is a decline of approximately 110 arrivals for every additional person infected by the coronavirus. The negative impact of COVID-19 on tourist arrivals for Thailand and New Zealand is found much stronger than for Taiwan and Hong Kong. In particular, the number of tourist arrivals to Taiwan and Hong Kong decreased by 0.034% in response to a 1% increase in COVID-19 confirmed cases, while in Thailand and New Zealand, a 1% national confirmed cases increase caused a 0.103% reduction in tourism demand. Moreover, the effect of the number of domestic cases on international tourism is found lower than the effect caused by global COVID-19 mortality for the economies with SARS experiences. In contrast, tourist arrivals are majorly affected by the number of confirmed COVID-19 cases in Thailand and New Zealand. Finally, travel restriction in all cases is found to be the most influencing factor for the number of tourist arrivals. Besides contributing to the existing literature focusing on the knowledge regarding the nexus between tourism and COVID-19, the paper’s findings also highlight the importance of risk perception and the need of transmission prevention and control of the epidemic for the tourism sector.

Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data

2009 ◽  
Vol 15 (3) ◽  
pp. 501-511 ◽  
Author(s):  
Hsiao-I Kuo ◽  
Chia-Lin Chang ◽  
Bing-Wen Huang ◽  
Chi-Chung Chen ◽  
Michael McAleer
Keyword(s):  
Panel Data ◽  
Pandemic Influenza ◽  
Fixed Effects ◽  
Data Models ◽  
International Tourism ◽  
Panel Data Models ◽  
Tourism Demand ◽  
Avian Flu ◽  
Potential Risks ◽  
The Impact

This paper investigates the impacts of avian flu on global and Asian tourism using panel data procedures. Both static and dynamic fixed effects panel data models are adopted to estimate the impacts of this infectious disease. The empirical results from static and dynamic fixed effects panel data models are consistent and indicate that the number of affected poultry outbreaks has significant impacts on the international tourism of global and Asian affected countries. The high mortality rate among humans, the potential of a global flu pandemic and some media frenzy with hype and speculation might adversely affect the images of these infected destinations as a safe tourist destination. Moreover, it was found that the average damage to Asian tourism was more serious, which might have been induced by an ineffective suppression in numerous Asian infected countries. In addition, Asia was the earliest affected region and the area infected most seriously by avian flu, both in humans and in poultry. Since the potential risks and damage arising from avian flu and the subsequent pandemic influenza are much greater than for previous diseases, the need to take necessary precautions in the event of an outbreak of avian flu and pandemic influenza warrants further attention and action in modelling and managing international tourism demand and risk.

The effect of freedom on international tourism demand: Empirical evidence from the top eight most visited countries

2019 ◽  
Vol 26 (8) ◽  
pp. 1358-1373
Author(s):  
Umit Bulut ◽  
Emrah Kocak ◽  
Courtney Suess
Keyword(s):  
Panel Data ◽  
Civil Liberties ◽  
The United States ◽  
Policy Implications ◽  
International Tourism ◽  
Political Rights ◽  
Tourism Demand ◽  
Data Set ◽  
Cointegration Tests ◽  
The Impact

The present study investigates the impact of freedom (i.e. the effects of political rights and civil liberties) on tourist arrivals for the eight countries with the highest tourist arrivals in 2016 (France, the United States, Spain, China, Italy, the United Kingdom, Germany, and Mexico), using annual data from 1998 to 2016, through advanced panel data methods. Notably, the key strengths of this study are as follows: (i) it examines the impact of institutional quality on international tourism demand for the most visited countries and (ii) it employs advanced panel data techniques, which have been suggested in recent years. We first constituted a freedom index using political rights and civil liberties data. Second, we performed cross-sectional dependence (CD) tests to examine whether there existed CD in the panel data set. After detecting the presence of CD, we used panel unit root and cointegration tests, which are robust to CD to avoid problems from spurious regression. Finally, we estimated long-run parameters of the empirical model through a panel data estimator that is capable of presenting efficient and unbiased output in the presence of CD. Our empirical findings show that the level of freedom may play a role in explaining the volume of international tourist arrivals. Theoretical and policy implications are discussed in the study, particularly with respect to the importance of rights and freedom in the context of international inbound tourist arrivals.

scholarly journals The Impact of the Minimum Wage on Employment: An EU Panel Data Analysis

2021 ◽  
Vol 13 (16) ◽  
pp. 9359
Author(s):  
Cristian Valeriu Paun ◽  
Radu Nechita ◽  
Alexandru Patruti ◽  
Mihai Vladimir Topan
Keyword(s):  
Panel Data ◽  
Minimum Wage ◽  
Fixed Effects ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
The Elderly ◽  
Special Focus ◽  
Female Workers ◽  
Cointegration Tests ◽  
The Impact

Minimum wage laws have become one of the most debated state interventions in the economy, being considered by many specialists as a very efficient tool used to correct certain labour market failures. The aim of this paper is to explore the relationship between minimum wage and employment dynamics, with a special focus on some vulnerable categories recognized in the literature (young people, female workers, the elderly, etc.). Thus, we analysed the relation between the dynamics of minimum wages and that of employment in 22 EU countries, panel data (1999–2016). The results suggest a negative impact of the minimum wage on total employment and on sensitive categories (youth, female workers, the elderly). The long-running negative impact holds for all but one group (55–64 years). The models were tested for random and fixed effects and the results were correspondingly adjusted with country and time and random and fixed effects. Cointegration tests and the tests using lagged minimum wage also confirm a robust relationship between the dynamics of the minimum wage and that of employment over time. Our findings are consistent with many previous studies and confirm the recommendations to prudently use this public policy tool.

The Psychological and Financial Impact of Cybercrime Victimization: A Novel Application of the Shattered Assumptions Theory

2021 ◽  
pp. 089443932098382
Author(s):  
Jildau Borwell ◽  
Jurjen Jansen ◽  
Wouter Stol
Keyword(s):  
Negative Impact ◽  
Secondary Analysis ◽  
Well Being ◽  
Policy Implications ◽  
Financial Impact ◽  
Financial Loss ◽  
Data Set ◽  
Loss Compensation ◽  
Shattered Assumptions ◽  
The Impact

While criminality is digitizing, a theory-based understanding of the impact of cybercrime on victims is lacking. Therefore, this study addresses the psychological and financial impact of cybercrime on victims, applying the shattered assumptions theory (SAT) to predict that impact. A secondary analysis was performed on a representative data set of Dutch citizens ( N = 33,702), exploring the psychological and financial impact for different groups of cybercrime victims. The results showed a higher negative impact on emotional well-being for victims of person-centered cybercrime, victims for whom the offender was an acquaintance, and victims whose financial loss was not compensated and a lower negative impact on emotional well-being for victims with a higher income. The study led to novel scientific insights and showed the applicability of the SAT for developing hypotheses about cybercrime victimization impact. In this study, most hypotheses had to be rejected, leading to the conclusion that more work has to be done to test the applicability of the SAT in the field of cybercrime. Furthermore, policy implications were identified considering the prioritization of and approach to specific cybercrimes, treatment of victims, and financial loss compensation.

South Africa’s increasing climate variability and its effect on food production

2021 ◽  
pp. 003072702110049
Author(s):  
Mashudu Tshikovhi ◽  
Roscoe Bertrum van Wyk
Keyword(s):  
South Africa ◽  
Climate Variability ◽  
Food Production ◽  
Fixed Effects ◽  
Crop Yields ◽  
Negative Impact ◽  
Secondary Data ◽  
Mean Annual Temperature ◽  
Fixed Effects Panel Regression ◽  
The Impact

This study examines the impact of increasing climate variability on food production in South Africa, focusing on maize and wheat yields. A two-way fixed effects panel regression model was used to assess the climate variability impacts, analysing secondary data for the period 2000 to 2019 for nine provinces in South Africa. The study found that increasing climate variability has a negative impact on maize and wheat production in South Africa. Specifically, the results indicated a negative correlation between mean annual temperature with both maize and wheat yields. A decrease in precipitation affected maize yields negatively, while the impact on wheat yields was positive, although insignificant. This analysis, therefore, depicted that crop yields generally increase with more annual precipitation and decrease with higher temperatures. The study recommends that funding initiatives to educate farmers on increasing climate variability and its effects on farming activities in South Africa should be prioritised.

Was India Right in Not Joining RCEP? A Cost–Benefit Analysis

2021 ◽  
pp. 097492842110477
Author(s):  
Monika Jain
Keyword(s):  
New Zealand ◽  
South Korea ◽  
Free Trade ◽  
Trade Diversion ◽  
Trade Agreements ◽  
Asia Pacific ◽  
Trade Creation ◽  
Asean Countries ◽  
The Cost ◽  
The Impact

India dropped out of the Regional Comprehensive Economic Partnership (RCEP), which included the Association of Southeast Asian Nations (ASEAN) countries, China, South Korea, New Zealand, Japan and Australia, after negotiating for almost seven years in November 2018 on the grounds of national interest and also that free trade agreements (FTAs) did not amount to free trade and led to more trade diversion than trade creation. The cost and benefit of a regional agreement depend on the amount of trade creation with respect to trade diversion (Panagriya, 2000). This study tries to examine India’s concerns and at the same time, highlights the cost of not joining RCEP. India’s trade deficit with 11 out of the 15 RCEP nations has been a major cause of concern. Unfavourable trade balance, concerns about the impact on dairy sector, economic slowdown, past experience with FTA’s, China factor, data localisation, rules of origin, the experience of ASEAN countries with Sino-FTA have been some of the reasons behind India’s decision to opt-out of this mega multilateral agreement. Also, bilateral trade agreements with some RCEP countries such as Japan, Malaysia, Singapore, Thailand and South Korea were operational. A multilateral trade agreement with ASEAN countries was very much in place. So, trade between India and 12 of the RCEP member countries would not have changed much after India’s inclusion in RCEP. The impact of lower tariffs would have been evident for the remaining three countries: China, Australia and New Zealand. Furthermore, there was fear of a massive surge in imports of manufactures from China, dairy imports from Australia and New Zealand. This study also examines the long term impact of this decision and if India has missed out on becoming a part of the global value chain and gaining greater market access in the Asia Pacific region. India’s policy of import substitution and protectionism did not capitulate desired results in the past. Hence, a critical evaluation of India’s decision and some validation on her concerns and fears have been done.

scholarly journals Impact of Working Capital Management on Corporate Profitability- Empirical Evidence from Pharmaceutical Industry of Bangladesh

2018 ◽  
Vol 10 (9) ◽  
pp. 136
Author(s):  
Rakibul Islam ◽  
Mohammad Emdad Hossain ◽  
Mohammad Nazmul Hoq ◽  
Md. Morshedul Alam
Keyword(s):  
Regression Analysis ◽  
Correlation Matrix ◽  
Negative Impact ◽  
Pearson Correlation ◽  
Capital Management ◽  
Working Capital ◽  
Data Set ◽  
Working Capital Management ◽  
Pharmaceutical Firms ◽  
The Impact

Working capital management plays centric role in enhancing operational efficiency and their ultimate profitability. Globally financial managers have been searching the proper way on how to utilize working capital components which prolong profitability. The purpose of this study is to assess the impact of working capital components on profitability indicators of selected pharmaceutical firms in Bangladesh. The paper used financial data of 9 pharmaceutical firms listed in Dhaka stock exchange (DSE) covered 2011-2015. Two methods were used in this study for analysis data set. Firstly, to measure the relationship between selected variables Pearson Correlation matrix was used. Secondly, multiple regression analysis was used to investigate the impact working capital components on profitability of selected pharmaceutical firms. The study also conducted Durbin Watson test to assess autocorrelation of selected variables. In this study the correlation matrix identified a negative correlation between working capital components and profitability, whereas regression analysis found number of days account receivable (AR) had significant positive and current ratio (CR) and debt ratio (DR) had appeared a significant negative impact on profitability.

scholarly journals Profitability Determinants of Big European Banks

2021 ◽  
Vol 10 (2) ◽  
pp. 39-56
Author(s):  
Vesna Karadžić ◽  
Nikola Đalović
Keyword(s):  
Fixed Effects ◽  
Negative Impact ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
The European Union ◽  
Macroeconomic Factors ◽  
Panel Models ◽  
Econometric Methods ◽  
Gdp Growth Rate ◽  
The Impact

Abstract The subject of research in this paper is the profitability of the biggest banks in the European financial market, some of which operate in Montenegro. The profitability of banks is influenced by a large number of factors, including internal banking and external macroeconomic factors. The aim of this paper is to use statistical and econometric methods to examine which factors and with what intensity affect the profitability of large banks in Europe. The empirical analysis used highly balanced panel models with annual data on 47 large banks from 14 European countries over the period 2013-2018. Three static panel models were estimated and evaluated (pooled ordinary least squares, model with fixed effects and model with random effects), as well as dynamic model utilizing general methods of moments. The POLS model was chosen as the best, confirming that all macroeconomic factors have a statistically significant impact on the profitability of big banks, while the impact of internal factors, which are controlled by the bank’s management, is not significant. GDP growth rate, inflation rate and market concentration have a positive effect on profitability, while the membership of the European Union has a negative impact on profit, meaning that banks with headquarters outside the EU are more profitable.

scholarly journals The Determinants of International Student Demand in New Zealand and the OECD

2021 ◽  
Author(s):  
◽  
Logan Page
Keyword(s):  
New Zealand ◽  
International Students ◽  
Fixed Effects ◽  
International Student ◽  
Tertiary Education ◽  
Descriptive Analysis ◽  
University Education ◽  
Export Market ◽  
Student Demand ◽  
The Impact

<p>Tertiary education, once a purely domestic affair, has become an increasingly globalised industry over previous decades. Whilst the international sector has grown to being New Zealand's fourth largest export market (Ministry of Education, 2016), there is a lack of credible research on the demand of international students.    This thesis aims to provide a greater understanding of the determinants of international student demand, both in New Zealand and internationally. I firstly provide a descriptive analysis of the trends in the international student market for New Zealand and 27 OECD countries. Secondly, I use a fixed-effects approach to analyse the demand of international students within New Zealand, using fees data at the course-by-university level. Thirdly, I then generalise this approach to the international market to provide an analysis of the demand for international students travelling to the OECD.    The findings from these analyses imply that the demand for international university education is relatively inelastic. The impact of a marginal increase in fees decreases the number of EFTS/students at a proportion of less than one. Furthermore, this effect is generally not statistically distinguishable from zero.</p>

scholarly journals Macroeconomic Characteristics of Tourism Economy in the Republic of Tunisia

REGIONOLOGY ◽  
2019 ◽  
pp. 224-245
Author(s):  
Marina A. Zhulina ◽  
Vyacheslav M. Kitsis ◽  
Svetlana V. Saraykina
Keyword(s):  
Negative Impact ◽  
Comparative Method ◽  
International Tourism ◽  
The Political ◽  
Factors Affecting ◽  
The World ◽  
Macroeconomic Indicators ◽  
The Republic ◽  
Tourism Economy ◽  
The Impact

Introduction. Tourism is a dynamic, constantly developing sector of the economy. Tourism economy develops along with the society, recreation and tourism. The purpose of the article is to show the features of the impact of tourism on the national economy using the case of Tunisia. The experience of Tunisia is especially useful for the countries where beach recreation has developed and where the political situation has remained difficult for a long time (Egypt, Turkey, Thailand, etc.). Materials and Methods. The article is based on the statistical data provided by the World Tourism Organization, the World Data Atlas and open Internet sources. The study employed general scientific methods (analysis, synthesis, synthesis, comparison, etc.) and special ones (the methods of mathematical statistics, the graphical method, the comparative method, etc.). Results. For the first time, the article has provided a fairly complete description of the macroeconomic indicators characterizing the level of development of international tourism in Tunisia. The article has analyzed the dynamics of inbound and outbound tourism, discussed the factors affecting the volume of international tourism, considered international tourism expenditures and revenues, which to a large extent have a positive or negative impact on the country’s balance of payments. The trends in the development of international tourism in Tunisia have been revealed and the problems facing the industry have been identified. Discussion and Conclusion. The research has revealed that tourism economy largely depends on the political and economic processes taking place in the country. The current level of macroeconomic indicators of tourism economy in Tunisia lags behind the 2008–2009 figures. The results of the study made it possible to assess the current state of international tourism and make a number of suggestions aimed at increasing the level of development of international tourism in the country. The results of the study can contribute to the development of a program aimed to boost tourism economy in Tunisia, one of the key tasks of which should be that of increasing performance at the macro-level.

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