IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v9y2021i2p457-472.html
   My bibliography  Save this article

The effect of institutional innovations on tourism spending in developed countries

Author

Listed:
  • Martin Rigelský

    (University of Prešov, Slovakia)

  • Beata Gavurova

    (Technical University of Košice, Slovakia)

  • Ladislav Suhanyi

    (University of Prešov, Slovakia)

  • Radovan Bačík

    (University of Prešov, Slovakia)

  • Viera Ivankova

    (Technical University of Košice, Slovakia)

Abstract

The new institutional economy deals with the study of innovations that can be reflected in various national sectors, including tourism. The objective of the presented study was to evaluate the significance of the effects of institutional innovations on tourism spending. The analyses included data from databases of the World Travel & Tourism Council (business tourism spending (BTS), leisure tourism spending (LTS), domestic tourism spending (DTS) and visitor exports (foreign spending) (VEFS)) and the Global Innovation Index reports published by Cornell University, INSEAD and WIPO (political environment, regulatory environment, business environment) from 2010 to 2019 for 36 OECD countries (excluding Colombia). Panel regression models (pooling, fixed, random) adjusted by robust estimation were used for analytical processing. The findings indicate that LTS was the category with the highest spending and BTS was the category with the lowest spending. One of the most important findings is that institutional innovations in the business environment have the greatest effect on tourism spending. It can be concluded that with an increase in innovations in the business environment, an increase in BTS, LTS and VEFS can be expected. In the political and regulatory environments, it is not possible to talk about demonstrable effects in general.

Suggested Citation

  • Martin Rigelský & Beata Gavurova & Ladislav Suhanyi & Radovan Bačík & Viera Ivankova, 2021. "The effect of institutional innovations on tourism spending in developed countries," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(2), pages 457-472, December.
    • Handle: RePEc:ssi:jouesi:v:9:y:2021:i:2:p:457-472
    DOI: 10.9770/jesi.2021.9.2(30)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/34/Rigelsky_The_effect_of_institutional_innovations_on_tourism_spending_in_developed_countries.pdf
    Download Restriction: no
    File URL: https://jssidoi.org/jesi/article/926
    Download Restriction: no
    File URL: https://libkey.io/10.9770/jesi.2021.9.2(30)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Martin L. Weitzman, 1974. "Prices vs. Quantities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(4), pages 477-491.
    2. Uzi Rebhun, 2021. "Inter-Country Variations in COVID-19 Incidence from a Social Science Perspective," Migration Letters, Migration Letters, vol. 18(4), pages 413-423, July.
    3. Beritelli, Pietro & Laesser, Christian, 2011. "Power dimensions and influence reputation in tourist destinations: Empirical evidence from a network of actors and stakeholders," Tourism Management, Elsevier, vol. 32(6), pages 1299-1309.
    4. Ender Demir & Giray Gozgor & Sudharshan Reddy Paramati, 2019. "Do geopolitical risks matter for inbound tourism?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 183-191, June.
    5. Swamy, P A V B & Arora, S S, 1972. "The Exact Finite Sample Properties of the Estimators of Coefficients in the Error Components Regression Models," Econometrica, Econometric Society, vol. 40(2), pages 261-275, March.
    6. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    7. Jayoti Das & Cassandra Dirienzo, 2010. "Tourism Competitiveness and Corruption: A Cross-Country Analysis," Tourism Economics, , vol. 16(3), pages 477-492, September.
    8. Olga Ganjour & Eric D. Widmer & Gil Viry & Jacques-Antoine Gauthier & Vincent Kaufmann & Guillaume Drevon, 2020. "Understanding the Reconstruction of Personal Networks Through Residential Trajectories," Migration Letters, Migration Letters, vol. 17(5), pages 621-638, September.
    9. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    10. Bogdan-Constantin IBĂNESCU & Oana Mihaela STOLERIU & Alexandra GHEORGHIU, 2018. "Gender differences in tourism behaviour in the European Union," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 23-43, June.
    11. Douglas M. Hawkins, 1980. "Critical Values for Identifying Outliers," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 95-96, March.
    12. Egan, Patrick J.W., 2013. "R&D in the periphery? Foreign direct investment, innovation, and institutional quality in developing countries," Business and Politics, Cambridge University Press, vol. 15(1), pages 1-32, April.
    13. Hoon-Ku Sul & Xiaoting Chi & Heesup Han, 2020. "Measurement Development for Tourism Destination Business Environment and Competitive Advantages," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    2. Beata Gavurova & Jaroslav Belas & Katarina Zvarikova & Martin Rigelsky & Viera Ivankova, 2021. "The Effect of Education and R&D on Tourism Spending in OECD Countries: An Empirical Study," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 806-806, August.
    3. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    4. Serkan K n & Serta Hopo lu & G rkan Bozma, 2016. "Conflict, Defense Spending and Economic Growth in the Middle East: A Panel Data Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 80-86.
    5. Andersson, Fredrik N.G. & Karpestam, Peter, 2013. "CO2 emissions and economic activity: Short- and long-run economic determinants of scale, energy intensity and carbon intensity," Energy Policy, Elsevier, vol. 61(C), pages 1285-1294.
    6. Pandey, Ashish & Guhathakurta, Kousik, 2022. "Value relevance of loan loss provision components and the choice of model specification," Advances in accounting, Elsevier, vol. 58(C).
    7. Schier, Franziska & Morland, Christian & Dieter, Matthias & Weimar, Holger, 2021. "Estimating supply and demand elasticities of dissolving pulp, lignocellulose-based chemical derivatives and textile fibres in an emerging forest-based bioeconomy," Forest Policy and Economics, Elsevier, vol. 126(C).
    8. Michal Pilc, 2015. "What Determines The Reforms Of Employment Protection Legislation? A Global Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 10(4), pages 111-129, December.
    9. Dědeček Radek & Dudzich Viktar, 2022. "Exploring the limitations of GDP per capita as an indicator of economic development: a cross-country perspective," Review of Economic Perspectives, Sciendo, vol. 22(3), pages 193-217, September.
    10. Adams, Zeno & Füss, Roland, 2010. "Macroeconomic determinants of international housing markets," Journal of Housing Economics, Elsevier, vol. 19(1), pages 38-50, March.
    11. Sean P. Sullivan, 2016. "Why Wait to Settle? An Experimental Test of the Asymmetric-Information Hypothesis," Journal of Law and Economics, University of Chicago Press, vol. 59(3), pages 497-525.
    12. Fankhauser, Samuel & Hepburn, Cameron, 2010. "Designing carbon markets. Part I: Carbon markets in time," Energy Policy, Elsevier, vol. 38(8), pages 4363-4370, August.
    13. Evan F. Koenig, 1985. "Indirect Methods for Regulating Externalities Under Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(2), pages 479-493.
    14. Wallace E. Oates, 1990. "Economics, Economists, and Environmental Policy," Eastern Economic Journal, Eastern Economic Association, vol. 16(4), pages 289-296, Oct-Dec.
    15. Inés Macho-Stadler, 2008. "Environmental regulation: choice of instruments under imperfect compliance," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(1), pages 1-21, March.
    16. Brice Corgnet & Roberto Hernán Gonzalez & Ricardo Mateo, 2015. "Cognitive Reflection and the Diligent Worker: An Experimental Study of Millennials," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-13, November.
    17. J. Christina Wang, 2003. "Merger-related cost savings in the production of bank services," Working Papers 03-8, Federal Reserve Bank of Boston.
    18. de la Croix, David & Gosseries, Axel, 2012. "The natalist bias of pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 271-287.
    19. Markus Reisinger & Ludwig Ressner, 2006. "The Choice of Prices vs. Quantities under Uncertainty," Working Papers 007, Bavarian Graduate Program in Economics (BGPE).
    20. Hahn Robert, 2010. "Designing Smarter Regulation with Improved Benefit-Cost Analysis," Journal of Benefit-Cost Analysis, De Gruyter, vol. 1(1), pages 1-19, July.

    More about this item

    Keywords

    tourism; innovation; expenditure; political environment; regulatory environment; business environment;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssi:jouesi:v:9:y:2021:i:2:p:457-472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.