Inbound tourism and the marketization of China’s institutions

2016 ◽  
Vol 7 (4) ◽  
pp. 542-554
Author(s):  
Jing Ma ◽  
Shuo Liu
Keyword(s):  
Panel Data ◽  
Dynamic Panel Data ◽  
Economic Resources ◽  
Tourism Demand ◽  
Demand Model ◽  
Content Type ◽  
International Recognition ◽  
China Market ◽  
Inbound Tourism ◽  
The Relationship

Purpose The purpose of this paper is to examine whether the institutions play a role in tourism development and international recognition, specifically the influence of marketization on the international tourists’ inbound arrivals in different Chinese provinces. Design/methodology/approach This paper constructs a demand model of tourism and empirically analyzes the relationship between marketization and inbound tourism demand with the panel data of the provinces of China and NERI Index of Marketization. Findings Marketization does have an influence on inbound tourism demand of China. Specially, the relationship between government and market, the development of product market, the market intermediary organizations and the legal system environment can increase the demand of the foreign tourists to visit China, although the magnitudes are different. Practical implications This paper argues that the qualities of marketization intuitions are important in increasing inbound tourism, given that it can bring better tourism experience and improve the international recognition. Strengthening the legislation and protecting the legitimate rights and interests of consumers can attract more international travelers to China. Market distribution of competitive economic resources, reducing political intervention into corporate activities and relieving tax burdens of enterprises can improve the competitiveness and the service qualities of Chinese domestic tourism firms. Originality/value This paper leads the discussions of institutions and tourism. It combines the consumer theory and uses static and dynamic panel data models to analyze the influencing factors of Chinese tourism. It argues that Chinese inbound tourism shall develop with the systemic marketization progress in China.

Board independence and private information-based trading: evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiunn-Shyan Khong ◽  
Chee-Wooi Hooy ◽  
Chun-Teck Lye
Keyword(s):  
Panel Data ◽  
Private Information ◽  
Audit Committee ◽  
Dynamic Panel Data ◽  
Independent Directors ◽  
Board Independence ◽  
Disclosure Quality ◽  
Board Diversity ◽  
Content Type ◽  
The Relationship

PurposeThis study investigates the effect of board independence on private information-based trading (PIBT) events. This study also examines the interaction effects of firm's disclosure quality and the statutory and demographic roles of independent directors and board diversity attributes, respectively, on the relationship between board independence and PIBT.Design/methodology/approachThis study uses panel data of 811 non-financial public listed companies in Bursa Malaysia for the sample period 2009–2017. The dynamic general method of moments (DGMM) is used for the dynamic panel data estimation and to address the potential endogeneity problem.FindingsThe results show that board independence has a negative effect on PIBT and the effect could be strengthened by firm's disclosure quality, women independent directors and board gender diversity, but attenuated by CEO duality. The overall result suggests that apart from independent audit committee, the statutory and demographic attributes of independent directors and board diversity, and firm's disclosure quality are complementary to board independence in preventing persistent PIBT.Originality/valueThis study augments the existing corporate governance and information-based trading literature from the perspectives of firm's disclosure quality, and the statutory and demographic roles of independent directors and board diversity attributes, by examining their effects on the relationship between board independence and PIBT.

Investigating the impact of climate change on the tourism sector: evidence from a sample of island economies

2019 ◽  
Vol 74 (2) ◽  
pp. 194-203 ◽  
Author(s):  
Boopen Seetanah ◽  
Sheereen Fauzel
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
Climatic Change ◽  
Tourism Development ◽  
Dynamic Panel Data ◽  
Small Island ◽  
Tourism Demand ◽  
Dynamic Panel ◽  
Content Type ◽  
The Impact

PurposeAlthough it is a widely accepted fact that climate change can negatively impact on tourism demand and affect the economies at the socio-economic level, empirical studies on the climate change tourism development nexus has been quite scant, especially for the case of island economies that are heavily dependent on tourism. This study aims to supplement the literature on climate change and tourism by empirically assessing the relationship between climate change and tourist arrivals for the case of 18 small island developing states over the period from 1989 to 2016.Design/methodology/approachThis paper uses dynamic panel data techniques, namely, a panel vector autoregressive framework, which accounts for dynamic and endogeneity issues.FindingsThe results from the analysis confirm the existence of a significant relationship between climate change and tourism demand in both the long-run and short run. Further analysis shows a bi-directional causality between climatic change and tourism demand while the study also confirms the tourism led growth hypothesis.Research limitations/implicationsThis research supplements the literature on the tourism-environment link, especially for tourism dependent island economies.Practical implicationsResults from this study are important to policymakers who should spare no effort to mitigate the effect of adverse climatic change in the context of tourism development.Originality/valueThis study is built on a unique data set for a sample of island economies and interestingly adopts dynamic panel data analysis to account for dynamics and endogenity in the climate change-tourism development nexus.

Merton-type default risk and financial performance: the dynamic panel moderation of firm size

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Mushafiq ◽  
Syed Ahmad Sami ◽  
Muhammad Khalid Sohail ◽  
Muzammal Ilyas Sindhu
Keyword(s):  
Financial Performance ◽  
Firm Size ◽  
Default Risk ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Content Type ◽  
Nonfinancial Firms ◽  
The Relationship

PurposeThe main purpose of this study is to evaluate the probability of default and examine the relationship between default risk and financial performance, with dynamic panel moderation of firm size.Design/methodology/approachThis study utilizes a total of 1,500 firm-year observations from 2013 to 2018 using dynamic panel data approach of generalized method of moments to test the relationship between default risk and financial performance with the moderation effect of the firm size.FindingsThis study establishes the findings that default risk significantly impacts the financial performance. The relationship between distance-to-default (DD) and financial performance is positive, which means the relationship of the independent and dependent variable is inverse. Moreover, this study finds that the firm size is a significant positive moderator between DD and financial performance.Practical implicationsThis study provides new and useful insight into the literature on the relationship between default risk and financial performance. The results of this study provide investors and businesses related to nonfinancial firms in the Pakistan Stock Exchange (PSX) with significant default risk's impact on performance. This study finds, on average, the default probability in KSE ALL indexed companies is 6.12%.Originality/valueThe evidence of the default risk and financial performance on samples of nonfinancial firms has been minimal; mainly, it has been limited to the banking sector. Moreover, the existing studies have only catered the direct effect of only. This study fills that gap and evaluates this relationship in nonfinancial firms. This study also helps in the evaluation of Merton model's performance in the nonfinancial firms.

Assessing the Impact of Terrorism on African Tourism Demand

2021 ◽  
Author(s):  
Sheereen Fauzel ◽  
Boopen Seetanah
Keyword(s):  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Terrorist Attacks ◽  
Tourism Demand ◽  
African Countries ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Impact ◽  
The Relationship

Many African states are relying on or have identified tourism to accelerate their growth and the continent has become the world’s second fastest growing tourist industry. However, African states have also not been spared by increasing terrorism attacks during the past decades, probably hindering the growth of this sector to certain extent. This study examines the relationship between terrorism and tourism for a sample of selected African countries over the period 1995 to 2017. Given the dynamic nature of tourism demand and the possibility of endogenous relationships in the terrorism-tourism nexus, dynamic panel data analysis, namely a Panel vector error correction model (PVECM) is employed. The results confirm that terrorism negatively affects tourism demand in Africa and this can be explained by the reactive psychology of tourists to the various aggravated terrorist attacks in the countries. Moreover, the findings show that an increase in tourism may have resulted in an increase in terrorist attacks, hence confirming a bi directional causality between tourism and terrorism.

scholarly journals The Empirical Test on the Impact of Climate Volatility on Tourism Demand: A Case of Japanese Tourists Visiting Korea

2018 ◽  
Vol 10 (10) ◽  
pp. 3569
Author(s):  
Yun Hwang ◽  
Hyung Kim ◽  
Cheon Yu
Keyword(s):  
Empirical Test ◽  
Tourism Industry ◽  
Model Specification ◽  
Time Lags ◽  
Tourism Demand ◽  
Demand Model ◽  
Volatility Index ◽  
Tourism Resource ◽  
The Impact ◽  
The Relationship

As climate is not only a valuable tourism resource but also a factor influencing travel experience, estimating climate volatility has implications for sustainable development of the tourism industry. This study develops the Climate Volatility Index (CVI) using a Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and estimates the relationship between CVI and Japanese tourism demand in Korea, using a tourism demand model based on monthly data from January 2000 to December 2013. Possible time lags and multicollinearity among variables are considered for the model specification. The results show that an increase in climate volatility leads to a decrease in tourism demand.

Corporate governance, globalization and firm performance in emerging economies

2018 ◽  
Vol 67 (8) ◽  
pp. 1310-1333 ◽  
Author(s):  
Neha Saini ◽  
Monica Singhania
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Panel Data ◽  
Foreign Capital ◽  
Good Governance ◽  
Foreign Ownership ◽  
Foreign Firms ◽  
Content Type ◽  
Governance Practices ◽  
The Relationship

PurposeThe purpose of this paper is to examine relationship between corporate governance (CG) and firm performance for a set of 255 foreign-funded firms in the form of foreign direct investment (FDI) and private equity (PE). The authors employ a wide range of CG measures including board size, meetings, board gender and foreign ownership which are used as the proxy of globalisation and control variables like firm age, leverage, firm size and capital expenditure to arrive at a conclusion.Design/methodology/approachPanel data set of 255 (187 companies funded by foreign capital in the form of FDI, and 68 companies having foreign capital in the form PE) companies listed on Bombay Stock Exchange, for the period of eight years (2008–2015) are analysed by using static (fixed and random effects) and dynamic (generalised method of moments (GMM)) panel data specifications to examine the relationship among CG, globalisation and firm performance.FindingsThe empirical results of static model indicate the relationship between CG and performance of foreign firms, which are not very strong in India. This is due to the fact that most of the firms are not following the guidelines and regulations strictly in the initial period of sample years. Diversity in board is found as an important variable in accessing firm performance. And the authors also found that foreign firms are very particular about the implementation of CG norms. The results of GMM model highlight the interaction term of foreign ownership with governance indicators. CG is having a positive and significant impact over performance, inferring that higher foreign ownership (in the form of FDI and PE) in firm leading to positive effect on profitability.Practical implicationsThe investor’s preference of financing a unit is guided by the performance of a firm. Investors are more inclined towards high-performing firms, and hence higher profitability leads to higher inflow of capital. The result indicates that higher accounting and market performance may be achieved by good governance practices, in turn, leading to reduced agency costs. Countries with high governance scores attract more of foreign capital. Similar to the best governed countries, the companies having good governance practices attract more foreign inflows in the form of capital.Originality/valueWhile previous literature considered a single measurement framework in the form of a CG index, the authors tried to incorporate a range of CG indicators to study the effect of globalisation and CG on firm performance. The authors segregated foreign-owned funds into two parts, especially FDI and PE. This paper examined heterogeneity in the form of FDI-funded and PE-funded firms, as no prior literature is available which has evaluated different sets of foreign funds simultaneously on CG.

scholarly journals Spatial distribution of touristic flows in a gravity model in South America

2018 ◽  
Vol 25 (1) ◽  
pp. 39-53 ◽  
Author(s):  
Natalia Porto ◽  
Noelia Garbero ◽  
Natalia Espinola
Keyword(s):  
Spatial Distribution ◽  
Gravity Model ◽  
Data Model ◽  
Regional Model ◽  
Dynamic Panel Data ◽  
Common Market ◽  
The Novel ◽  
Tourism Demand ◽  
Dynamic Panel ◽  
Content Type

Purpose This paper aims to investigate the determinants of international bilateral tourism demand in countries of Southern Common Market (specifically, Argentina, Brazil and Uruguay) and Chile. Design/methodology/approach In this study, an augmented gravity model is used to investigate the determinants of international bilateral tourism demand in countries of Southern Common Market. The novel aspect of the analysis is that three models of tourism are defined, depending on the spatial distribution of tourist arrivals and departures. An intra-regional model, an extra-regional model and a general model are estimated using a dynamic panel data model. Findings The results indicate that traditional gravity variables are significant in explaining bilateral inbound arrivals, but the characteristics and the behavior of the demand of tourism vary on whether the country belongs to the sub-regional bloc. Research limitations/implications The differences found in this paper might have some impacts on the desired design and direction of the touristic policies of each country. Originality/value This study analyzes the determinants of international tourism demand through different bilateral relationships, differentiating between intra- and extra-block tourisms.

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