nep-tur New Economics Papers
on Tourism Economics
Issue of 2020‒08‒31
four papers chosen by
Laura Vici
Università di Bologna

  1. Tourists satisfaction towards Bao Loc city, Vietnam By Giao, Ha Nam Khanh; Hang, Tran Dieu; , Le Thai Son; Kiem, Dinh; Vuong, Bui Nhat
  2. Seasonality in tourist flows: Decomposing and testing changes in seasonal concentration By Luigi Grossi; Mauro Mussini
  3. Retrospective Experiential Learning Theory and its Impact on Countering Social Exclusion in Ecotourism By Mathew, C. D.; Aithal, Sreeramana
  4. Airbnb, Hotels, and Localized Competition By Maximilian Schäfer; Kevin Ducbao Tran

  1. By: Giao, Ha Nam Khanh; Hang, Tran Dieu; , Le Thai Son; Kiem, Dinh; Vuong, Bui Nhat
    Abstract: Bao Loc City is the new tourism destination in Lam Dong province, Vietnam, where more and more tourists have been drawn to pay a visit. This study aims to test the correlative impact of tourism service quality factors on satisfaction of the tourists who have visited Bao Loc City. The key theory used in this study is SERVQUAL scale. The survey sample consists of 350 tourists who stayed overnight in Bao Loc City in the last quarter of 2019; 315 valid survey questionnaires could be used for the analysis. The research applied Cronbach’s Alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM), and bootstrap test. The results show that the satisfaction of the tourists who have visited Bao Loc City has been affected statistically by three factors: (1) Responsiveness; (2) Reliability; and (3) Empathy, which were ranked by descending importance. Surprisingly, the research found that Tangibles and Assurance do not have an impact on tourists’ satisfaction towards Bao Loc City. The research formulates some suggestions to the city policy-makers and the tourism businesses management in Bao Loc City in order to enhance tourists’ satisfaction through improving the tourism service quality at Bao Loc City.
    Date: 2020–07–07
  2. By: Luigi Grossi (Department of Economics (University of Verona)); Mauro Mussini (Department of Economics (University of Verona))
    Abstract: In this paper, we show that the changes in the timing and magnitude of seasonality in tourist flows can be measured by decomposing the change in the Gini index, a widely used measure of seasonal concentration, into two components. One of them tracks the changes in the timing of fluctuations, examining the extent to which the seasonal pattern is stable and the second captures the changes in the magnitude of seasonal fluctuations. To assess whether changes in the seasonal pattern and magnitude are significant, a technique for testing statistical hypotheses concerning the two components is developed. The decomposition and statistical tests are used to examine changes in the seasonal concentration of tourist arrivals in six tourist destinations in the Veneto region, one of the most important regions in Italy and Europe for tourism, over the decade from 2006 to 2016. Our analysis shows that the magnitude of seasonality significantly decreased in some destinations characterized by diversified tourist products, such as Euganean spas and Lake Garda. The seasonal pattern remained substantially stable for all destinations except Venice, where a non-negligible shift in the seasonal pattern occurred. The policy implications are discussed.
    Keywords: concentration indices, Gini index decomposition, tourism seasonality, tourism time series
    JEL: C46 C63 L83 Z32
    Date: 2019–10
  3. By: Mathew, C. D.; Aithal, Sreeramana
    Abstract: Retrospective Experiential Learning (REL) is an instrument for regularising and normalising the guiding experience of the guides. Ultimately it results in routinising the very rare excellent service that happened earlier. In this paper, the Retrospective Experiential Learning test is carried out at Thenmala and PTR concerning Client Associations Management. Guides have been asked to reminisce their good experiences in connection with tourism services. REL has contributed towards enhanced service quality. The empirical study shows that REL can produce results. It has been found that concentrated REL strategy is not applicable to the two destinations. Here, the tourists who are assessed in connection with implementing new ideas told that they would prefer intuitive, imaginative, creative, participative, and idea generating environment to enjoy eco-tourism with local tourist guides rather than a rigid bureaucratic environment. The paper focuses on the impact of REL on service quality in ecotourism sector. The discussions are directed towards improving service quality and its impact on social exclusion.
    Keywords: REL, Customer satisfaction, Service quality, Local guides, PTR, Thenmala
    JEL: O1 O4 Q5
    Date: 2020–02–15
  4. By: Maximilian Schäfer; Kevin Ducbao Tran
    Abstract: The rise of online platforms has disrupted numerous traditional industries. A prime example is the short-term accommodation platform Airbnb and how it affects the hotel industry. On the one hand, consumers can profit from Airbnb due to an increased number of choices and lower prices. On the other hand, critics of the platform argue that it allows professional hosts to operate de facto hotels while being subject to much laxer regulation. Understanding the nature of competition between Airbnb and hotels as well as quantifying consumer welfare gains from Airbnb is important to inform the debate on necessary platform regulation. In this paper, we analyze competition between hotels and Airbnb listings as well as the effect of Airbnb on consumer welfare. For this purpose, we use granular daily-level data from Paris for the year 2017. We estimate a nested logit model of demand that allows for consumer segmentation along accommodation types and the different districts within the city. We extend prior research by accounting for the localized nature of competition within districts of the city. Our results suggest that demand is segmented by district as well as accommodation type. Based on the parameter estimates, we calibrate a supply-side model to assess how Airbnb affects hotel revenues and consumer welfare. Our simulations imply that Airbnb increases average consumer surplus by 4.3 million euro per night and reduces average hotel revenues by 1.8 million euro. Furthermore, we find that 28 percent of Airbnb travelers would choose hotels if Airbnb did not exist.
    Keywords: Hotel industry, short-term rentals, localized competition, consumer welfare, sharing economy, peer-to-peer markets, Airbnb
    JEL: D4 D6 L1 Z38
    Date: 2020

This nep-tur issue is ©2020 by Laura Vici. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at For comments please write to the director of NEP, Marco Novarese at <>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.