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Pregled bibliografske jedinice broj: 1238149

A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand: Evidence from Count Models


Šergo, Zdravko; Gržinić, Jasmina; Zanini Gavranić, Tatiana
A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand: Evidence from Count Models // Tourism: An International Interdisciplinary Journal, 70 (2022), 4; 642-655 doi:10.37741/t.70.4.7 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1238149 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand: Evidence from Count Models

Autori
Šergo, Zdravko ; Gržinić, Jasmina ; Zanini Gavranić, Tatiana

Izvornik
Tourism: An International Interdisciplinary Journal (1332-7461) 70 (2022), 4; 642-655

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Gubici bioraznolikosti, turistički dolasci, modeli, cross-sectional podaci, zemlje svijeta
(Biodiversity loss, tourism arrivals, count models, cross-sectional data, world countries)

Sažetak
The purpose of this study is to examine the relationship between tourism arrivals and the global incidence of biodiversity loss, measured by the probability of the extinction of species of plants, mammals, birds and fish while controlling for other relevant covariates: protected areas, agrarian production's share in GDP, crop production, energy intensity and population levels. This study is designed around cross- sectional data from 2018 in 178 countries across the world. The biodiversity loss–tourism arrivals nexus is assessed in this study by the count model estimation. We adopted negative binomial and hurdle negative binomial regressions. The findings showed the existence of a positive relationship between tourism arrivals and some species extinction variables. Tourism demand is responsible for an excessive degree of biodiversity loss in the case of mammals and birds. The findings of this study suggest that an overdispersion test due to count data constraints should be taken into account when examining the link between biodiversity loss and tourism in a cross-sectional analysis.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


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Citiraj ovu publikaciju:

Šergo, Zdravko; Gržinić, Jasmina; Zanini Gavranić, Tatiana
A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand: Evidence from Count Models // Tourism: An International Interdisciplinary Journal, 70 (2022), 4; 642-655 doi:10.37741/t.70.4.7 (međunarodna recenzija, članak, znanstveni)
Šergo, Z., Gržinić, J. & Zanini Gavranić, T. (2022) A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand: Evidence from Count Models. Tourism: An International Interdisciplinary Journal, 70 (4), 642-655 doi:10.37741/t.70.4.7.
@article{article, author = {\v{S}ergo, Zdravko and Gr\v{z}ini\'{c}, Jasmina and Zanini Gavrani\'{c}, Tatiana}, year = {2022}, pages = {642-655}, DOI = {10.37741/t.70.4.7}, keywords = {Gubici bioraznolikosti, turisti\v{c}ki dolasci, modeli, cross-sectional podaci, zemlje svijeta}, journal = {Tourism: An International Interdisciplinary Journal}, doi = {10.37741/t.70.4.7}, volume = {70}, number = {4}, issn = {1332-7461}, title = {A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand: Evidence from Count Models}, keyword = {Gubici bioraznolikosti, turisti\v{c}ki dolasci, modeli, cross-sectional podaci, zemlje svijeta} }
@article{article, author = {\v{S}ergo, Zdravko and Gr\v{z}ini\'{c}, Jasmina and Zanini Gavrani\'{c}, Tatiana}, year = {2022}, pages = {642-655}, DOI = {10.37741/t.70.4.7}, keywords = {Biodiversity loss, tourism arrivals, count models, cross-sectional data, world countries}, journal = {Tourism: An International Interdisciplinary Journal}, doi = {10.37741/t.70.4.7}, volume = {70}, number = {4}, issn = {1332-7461}, title = {A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand: Evidence from Count Models}, keyword = {Biodiversity loss, tourism arrivals, count models, cross-sectional data, world countries} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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