scholarly journals Accommodation Capacity, Trade Openness and International Tourism Demand in Croatia

Tourism ◽  
2021 ◽  
Vol 70 (1) ◽  
pp. 28-42
Author(s):  
Nataša Erjavec ◽  
Kristina Devčić
Keyword(s):  
Trade Openness ◽  
International Tourism ◽  
Annual Data ◽  
Tourism Demand ◽  
Relative Prices ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Lagged Dependent Variable ◽  
The Difference ◽  
The Impact

This paper investigates the determinants of international tourism demand in Croatia, a country whose economy is heavily dependent on tourism. A particular focus is placed on the role of accommodation capacity and trade openness, two demand drivers that have been rarely examined in combination. Using the difference GMM estimator, a dynamic panel model of international tourism demand in Croatia is estimated, employing annual data for 16 tourism generating countries from 2007 to 2019. The results show that the lagged dependent variable, income, accommodation capacity, and exchange rate have a positive effect on international tourism demand, while the impact of relative prices and trade openness prove to be irrelevant in the Croatian context.

Determinants of Foreign Direct Investment in India’s Service Sector

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Niti Bhasin
Keyword(s):  
Trade Openness ◽  
Ordinary Least Squares ◽  
Gdp Per Capita ◽  
Annual Data ◽  
Fdi Inflows ◽  
Skilled Labour ◽  
Services Sector ◽  
Lagged Dependent Variable ◽  
Per Capita ◽  
The Impact

With the ever-growing importance of services sector in India’s economy, this paper seeks to identify the determinants of FDI in the services sector. The study uses ordinary least squares regression analysis and examines the impact of GDP, GDP per capita, trade openness, FDI openness, and labour cost on FDI inflows. We also use another specification to include the lagged dependent variable as an explanatory variable. Using annual data for the period 1991 to 2010, we find that FDI inflows in the services sector in India are significantly determined by national income, GDP per capita, trade openness, FDI openness and skilled labour availability. This confirms the view that FDI in the services sector is efficiency-seeking and greater availability of skilled labour in India leads to greater inflows of FDI in services sector.

Does institutional quality affect tourism demand? Evidence from India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reffat Mushtaq ◽  
Aijaz Abdullah Thoker ◽  
Aaqib Ahmad Bhat
Keyword(s):  
Trade Openness ◽  
Institutional Quality ◽  
Positive Association ◽  
International Tourism ◽  
Tourism Demand ◽  
Content Type ◽  
Regulatory Quality ◽  
Tourism Sector ◽  
The Individual ◽  
The Impact

PurposeThe purpose of this paper is to empirically examine the impact of institutional quality on the international tourism demand of India. To carry out the analysis, the study first analyses the impact of composite institutional quality index and then proceeds to examine the impact of each of the individual components of institutional quality on the international tourism demand of India. The impact of income of the tourist originating countries, tourism price, trade openness and Human Development Index (HDI) on tourism demand has also been examined.Design/methodology/approachThe study employed panel autoregressive distributed lag (ARDL) model, with data from top 30 tourist originating countries for India for the period of 1995–2016.FindingsThe results indicated that an increase in the income of the tourist originating countries has spillover effects on the development of tourism sector of India. The impact of cost of travel proxied by relative prices between the destination and origin country is found to be negative, however, statistically insignificant. The impact of trade openness and development level of the host country (proxied by HDI) is found to have positive association with the tourism demand. Institutional quality is found to have positive association with international tourism demand of India. Among the individual components of institutional quality, rule of law, regulatory quality, control of corruption and voice and accountability are found to promote the tourism sector development in the economy. Contrarily, the impact of government effectiveness is found to be negative. In the short run, most of the variables were found to support their counterpart results in long run.Practical implicationsThis study has practical implication not only in formulating tourism sector policies of the host countries but also for issuing tourist advisories in tourist originating countries. The study holds that policymakers should work for improving institutional environment of the country such as bureaucracy, legislature, regulatory quality, rule of law and for reducing corruption at all levels so as to ensure a sustained rise in tourist inflows to India.Originality/valueThis study validates the link between institutional quality of a country and international demand for its tourism. To the best of the authors' knowledge, the study is the first attempt that has comprehensively analysed the impact of institutional quality on tourism demand in Indian context which has been generally ignored in the tourism literature.

scholarly journals DEMOGRAPHIC BONUS ANALYSIS AND ECONOMIC GROWTH OF EAST JAVA

2018 ◽  
Vol 2 (1) ◽  
pp. 8-21
Author(s):  
Amirusholihin ◽  
Listiono
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Demographic Variables ◽  
Spatial Inequality ◽  
Solow Model ◽  
Dynamic Panel Model ◽  
Goods And Services ◽  
Panel Model ◽  
Working Age ◽  
The Impact

BKKBN predicts that Indonesia will get demographic bonus in 2020 until 2030. The question is whether the demographic bonus has a positive impact on the economy of East Java or even a negative impact. Based on data from BPS, by 2015 the workingage population in East Java is around 69.4 percent of the total population, while the child and old-age is 30.6 percent. The size of the working-age population is closely related to the amount of labor, which also greatly determines the amount of output on goods and services produced. This paper aims to explain how the impact of demographic bonuses on East Java's regional economy, based on the Solow model extended to include demographic variables. The analysis uses a dynamic panel model by 38 districts in East Java that have demographic bonuses in 2020 with GDP as a reference in determining the growth of economists. From these analyzes it can be seen the impact of demographic bonuses in East Java as an advantage or even create new spatial inequality between regions.

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 Arab Spring and the International Defense Market

2020 ◽  
pp. 1-19
Author(s):  
Jeroen Klomp
Keyword(s):  
Political Violence ◽  
Abnormal Return ◽  
Arab Spring ◽  
Substantial Part ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Stock Market Return ◽  
The One ◽  
The Arab Spring ◽  
The Impact

Abstract The aim of this study is to analyze the impact of the political violence during the Arab Spring on the stock market return of international defense firms. The direction of this impact is not directly straightforward as the civil unrests influence the expectations of investors in two opposite ways. On the one hand, investors might expect that when the peaceful demonstrations were turned into violent events, the Arab governments involved will start acquiring more military-strategic goods to repress the protests or send a strong signal of power to ensure their stay in office. However, on the other hand, when the popular protests escalated, investors, perhaps, became more concerned about the possible imposition of international military sanctions against the Arab Spring countries to restore peace and protect human rights. The main empirical findings of a dynamic panel model clearly confirm this pattern and point out that when the Arab Spring originated, the abnormal return of international defense stocks starts to rise immediately. However, in the course of time, the concerns of the introduction of arms embargoes become stronger and eventually start to dominate, causing the abnormal return to fall again, while the idiosyncratic risk began to fall due to enhanced diversification. It turns out that firm-specific factors can explain a substantial part of the effect found. For instance, the reaction of investors to the Arab Spring is significantly larger for firms that produce predominantly military goods.

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 ◽  
Author(s):  
Hsiao-I Kuo ◽  
Chia-Lin Chang ◽  
Chi-Chung Chen ◽  
Biing-Wen Huang ◽  
Michael McAleer
Keyword(s):  
Panel Data ◽  
International Tourism ◽  
Tourism Demand ◽  
Avian Flu ◽  
The Impact

scholarly journals Foreign Direct Investment and Trade Components in Context of Pakistan

2016 ◽  
Vol 12 (34) ◽  
pp. 384 ◽  
Author(s):  
Muhammad Akram Gilal ◽  
Khadim Hussain ◽  
Muhammad Ajmair ◽  
Sabahat Akram
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Trade Openness ◽  
Annual Data ◽  
Investment Liberalization ◽  
Long Run ◽  
Short Run ◽  
The Impact

Objective of this paper was to evaluate the impact of foreign direct investment (FDI) on trade components (exports and imports) of Pakistan using annual data from 1975 to 2013. Engle and Granger two step cointegration method was used for conducting the analysis. This method was adopted because all the variables of interest were non stationary in level and stationary at first difference. Results provide evidence of long run cointegrating relationship as well as short run relationship between FDI and trade components. A rise in FDI causes both exports and imports to increase. Based on these empirical findings, we strongly recommend Government of Pakistan to focus on the strategy of investment liberalization as well as trade openness.

scholarly journals EDITORIAL: COVID-19 PANDEMIC AND INTERNATIONAL TOURISM DEMAND

2020 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Tri Haryanto
Keyword(s):  
Global Economy ◽  
Economic Recession ◽  
International Tourism ◽  
Tourism Demand ◽  
Research Topics ◽  
Global Issue ◽  
The World ◽  
Global Economic Growth ◽  
The Impact

COVID-19 pandemic has become a global issue. Many experts predict that this pandemic will cause global economic growth to decline this year, or even the global economic recession. All efforts conducted by many countries in the world massively to prevent its spread such as social distancing, self-isolation, and similar actions to lockdown may have a major impact on tourism demand in many countries. The next section sequentially will discuss a brief review of the role of international tourism on the economy, the impact of the COVID-19 pandemic on the global economy and international tourism, and further research topics for the next edition.

scholarly journals The Influence of Foreign Direct Investment on the GDP Progression of Pakistan

2020 ◽  
Vol 4 (2) ◽  
pp. 22-33
Author(s):  
Muhammad Aslam Javed
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Direct Investment ◽  
Price Index ◽  
Trade Openness ◽  
Consumer Price Index ◽  
Annual Data ◽  
Monthly Basis ◽  
Beneficiary Country ◽  
The Impact

The Foreign Direct Investment (FDI) inflows play a very important role in the economic development of the beneficiary country. The objective of this study is to check the impact of the exchange rate (and other variables like Foreign Exchange Rate, Consumer price index, Trade Openness, and Energy Imports) on foreign direct investment in Pakistan by taking annual data from the period 1999-2013 (Monthly Basis).By using Descriptive,Correlation and regression , the effect of Consumer Price Index, exchange rate, trade openness, energy imports on Foreign Direct Investment (FDI) of Pakistan.  The study guide the foreign investor and to categorize the factors, that can affect the Foreign Direct Investment (FDI), while investing in Pakistan.

Sign in / Sign up

Export Citation Format

Share Document