Cheon Yu

Purpose - This study is designed to provide new insights on trade claim management by typifying trade claims from a relational perspective, which...

Building upon institutional theory and the concept of openness to external sources in terms of breadth and depth, this study investigates the following three understudied drivers of eco-innovation in terms of external and internal factors: Anticipated regulation and self-regulation as external drivers, and information sourcing openness comprised of breadth and importance as internal drivers. Toward this end, this study employs a sample of 1824 Korean manufacturing firms collected from the Korean Innovation Survey 2010, which is compatible with the Oslo Manual and the Eurostat Community Innovation Survey (CIS). The current research adopts a multivariate probit model for the nine binary outcome variables and a zero-inflated negative binomial (ZINB) regression model for a count variable. It is found that, both anticipated regulation and self-regulation positively affect eco-process innovation and eco-product innovation across all of the nine eco-innovation types. The empirical findings on the effects of the breadth of external sources and the importance of used information acquired from external sources for innovative activities indicate that both the breadth and the importance have positive impacts on the number of types of eco-innovation with which a firm is engaged.

Tourist loyalty is one of the most crucial aspects in determining the sustainable growth of a tourism destination. In attempting to find an aspect that boosts tourist loyalty for sustainable development of a tourism destination, the role of destination social responsibility (DSR) has begun to attract the attention of researchers and tourism stakeholders. This study empirically examines the structural relationship between DSR, destination image, and tourist loyalty using data collected from international tourists who have visited Hoi An in Vietnam through a self-administrated survey. Also, this study takes the cultural differences between Asians and Westerners into consideration regarding insights on tourism marketing. The results show that the socially responsible behavior of a tourism destination positively affects tourist loyalty by forming a positive image of the destination. And the results of the comparison between the Asian and the Western groups on the structural relationships of the perceived DSR, destination image, and tourist loyalty show that different cultures afford different degrees of importance to the components of DSR.

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.

The purpose of this study is to define destination social responsibility as a multidimensional construct and examine the relationships between destination social responsibility, tourists’ emotions and their satisfaction, through the lens of corporate social responsibility. A model is empirically tested with a sample of 359 random foreign tourists visiting Hoi An, Vietnam. The results indicate that all destination social responsibility dimensions, including economic, environmental, legal–ethical, and philanthropic responsibilities significantly enhance tourists’ emotions, while only legal–ethical and philanthropic responsibilities directly affect tourists’ satisfaction. The findings also confirm the mediating effect of emotions between destination social responsibility and tourists’ overall satisfaction.

As climate is not only a valuable tourism resource but also a factor influencing travel experience, estimating climate change can provide implications to sustainable development of the tourism industry. This study develops Climate Volatility Index (CVI) using GARCH model and estimates the relationship between CVI and Japanese tourism demand for Korea using a tourism demand model, based on data from January 2000 to December 2013. Time lag is applied based on a decision making process regarding travel destinations. The result shows that an increase in volatility of climate change leads to a decrease in tourism demand.

The purpose of this study is to define destination social responsibility as a multidimensional construct and examine the relationships among DSR, tourists’ emotions, and their satisfaction through the lens of corporate social responsibility. A model was empirically tested with a sample of 359 random foreign tourists caught in Hoi An, Vietnam. The results indicate that all DSR dimensions, including economic, environmental, legal-ethical, and philanthropic responsibilities significantly enhance tourists’ emotions while only legal-ethical and philanthropic responsibilities directly affect tourists’ satisfaction. The findings also confirm the mediating effect of emotions between destination social responsibility and tourists’ overall satisfaction.

기후는 관광지의 자원이자 관광객 경험에 영향을 미치는 요소로 이의 변화를 추정하는 것은 관광산업의 지속가능한 발전을 위한 시사점을 줄 수 있다. 본 연구는 극한기후의 변화가 관광수요에 미치는 영향을 규명하기 위한 것으로 2005년 1월부터 2016년 12월까지의 월별자료를 이용하여 실증분석을 실시하였다. 사용된 극한기후지표는 집중호우한계점, 최대건조 지속기간, 월최저기온, 월최고기온이며 자기상관과 이분산성을 고려하여 패널 GLS 분석을 실시하였다. 분석결과 극한기후변화는 관광수요에 영향을 미치는 것으로 나타났다. 특히 계절별로 영향변수, 방향성, 영향정도가 각각 차이를 보였다. 이러한 결과는 기후변화에 따른 관광수요의 영향을 보다 효율적으로 추정하기 위해서는 극한기후변화가 고려되어져야 하며, 이때 계절에 따른 추정이 필요함을 시사한다.