A double life cycle in tourism arrivals to Spain: Unit root tests with gradual change analysis

Pina, Isabel Pilar Albaladejo; González-Martínez, María Isabel; Martínez-García, María Pilar

doi:10.1016/j.jdmm.2020.100497

Cited by 10 publications

(11 citation statements)

References 42 publications

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“…At its core is the word of mouth effect, by which a visitor might induce a potential tourist to visit the destination (Lundorpt and Wanhill, 2001; Paphathedorus, 2004). Some empirical studies, however, challenge the theory (Ivars i Baidal et al, 2013; Albaladejo et al, 2020) and highlight the need to introduce new elements. Economic factors such as the organisation of the industry, the market structure (Debbage, 1990) and agglomeration externalities need to be taken into account.…”

Section: Related Literature and Our Contributionmentioning

confidence: 99%

“…Destinations are strongly interconnected. The outbreak of the ‘Arab Spring’ protests, which led to a significant decline in tourism in Tunisia and Morocco, increased the number of tourists in Spain (Albaladejo et al, 2020). The earthquake that hit the Umbria Region of Central Italy on September 26, 1997, reduced arrivals in the Assisi district to less than 50% of the figure for the previous year (Mazzocchi and Montini, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Tourism distribution at competing destinations: Mobility changes and relocation

2022

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We present a dynamic model of competing destinations to study the agglomeration and dispersion forces driving long-run geographical distribution of tourism. The relative strength of these forces determines whether tourism is agglomerated at one destination or is more disperse. Economies of scale in the tourism industry favour agglomeration while tourists’ preference for local tourist attractions and local services is conducive to dispersion. If returns to scale approach constant and tourists do not appreciate local goods, the interaction between the two destinations disappears and our model converges to the well-known Tourism Area Life Cycle model. By contrast, if destinations interact and the price sensitivity of tourists is low enough to offset the economies of scale that induce firms to agglomerate, the sharing of tourism between the two destinations is stable. Otherwise, tourism tends to agglomerate in one destination. Tourism policies interfere with the agglomeration and dispersion forces and could induce tourist relocation. We calibrate the model with real data before and after the restrictions in force during the pandemic in 2021 and those derived from the war in Ukraine.

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Section: Related Literature and Our Contributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tourism distribution at competing destinations: Mobility changes and relocation

2022

Self Cite

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“…However, in our study, we examined the impact of board characteristics (a board's gender diversity and independence) on tourism sector performance as measured by tourist arrivals and tourism receipts. These two factors have been investigated by several tourism studies (Albaladejo et al ., 2020; Demir et al ., 2020; Fîntîneru et al ., 2014; Popescu, 2016) as measures of H&T firms' performance, but not, as we did, by considering a micro–macro link between firms' BOD characteristics and tourism sector performance. Thus, we investigated whether board configuration benefits go beyond firm-level outcomes to help improve countries' tourism sector performance.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, although most previous studies have focused exclusively on the macro level (Albaladejo et al ., 2020; Dücan and Bozkurt, 2017; Seabra et al ., 2020) or the micro level (Ongsakul et al ., 2020; Paniagua et al ., 2018; Uyar et al ., 2020), our study established a link with which to examine the impact of micro-variables on macro-level changes. We therefore suggest implications for firms and tourism sector development organizations.…”

Section: Introductionmentioning

confidence: 99%

Hospitality and tourism firms' board characteristics, board policies and tourism sector performance: what is the nexus?

Nimer

Kuzey²,

Uyar³

2023

IJPPM

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PurposeThis study investigated the micro–macro link in the hospitality and tourism (H&T) sector, specifically considering whether the gender diversity, independence and board attendance rates of H&T firms' boards, alongside the moderation effect of board policies, played a significant role in tourism sector performance.Design/methodology/approachThe 2011–2018 data were retrieved from the World Bank and the Thomson Reuters Eikon databases, and fixed effects panel regression was conducted.FindingsWhile female directors were a significant driver of tourism sector performance in terms of tourist arrivals and tourism receipts, independent directors were effective in improving tourist arrivals only. Furthermore, moderation analyses demonstrated the inefficacy of board policies in enhancing these directors' contributions to the sector's development. Moreover, the findings revealed the inefficiency of board meetings.Practical implicationsConcerning the efficacy of board policies, the results suggest that firms' boards should review and revise their policies. Surprisingly, while board-diversity policies made no difference to female directors' role in the sector's development (although females were influential), board-independence policies produced unexpected results. In the absence of a board-independence policy, independent directors are influential, but if a policy exists, they are not.Originality/valueAlthough prior firm-level studies tested whether board characteristics enhanced firms' performance in the H&T sector, they did not investigate whether board characteristics promoted tourism sector performance. Moreover, the moderating effect of board policies on boards' structures and tourism sector performance has not yet been examined.

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“…whether the effects of such shocks are permanent or transitory. Various papers have analysed this question by carrying out unit root tests (Bahmani-Oskoee, et al, 2021;Narayan, 2005;Albaladejo, Gonzalez-Martinez & Martinez-Garcia, 2020;Al-Nsour, 2020;etc.). Some recent studies have applied instead a more general framework allowing the differencing parameter to take fractional as well as integer values.…”

Section: Introductionmentioning

confidence: 99%