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Relations between infrastructure innovations and tourism spending in developed countries: a macroeconomic perspective

    Beata Gavurova   Affiliation
    ; Jaroslav Belas   Affiliation
    ; Katarina Valaskova   Affiliation
    ; Martin Rigelsky   Affiliation
    ; Viera Ivankova   Affiliation

Abstract

Tourism spending as well as innovations are characterized by great economic value, which emphasizes the need for their research from a macroeconomic perspective. The objective of the research was to assess the significance of the relations between infrastructure innovations and tourism spending in a sample of developed countries. The analytical processes included macroeconomic indicators expressing tourism spending and innovations. The research sample consisted of 36 countries of the Organization for Economic Co-operation and Development (OECD) (2010–2019). The analytical processes were primarily performed using robust panel regression and cluster analysis. One of the most important findings is that innovations in information and communication technologies (ICTs) were dominant in terms of the effects on tourism visitors' spending. The results showed that innovations in other areas of infrastructure (general infrastructure, ecological sustainability) should not be neglected either. The significant effects of selected innovation indicators showed positive trajectories. As a result, with the strengthening of innovation activities, an increase in tourism spending is expected, which may lead to economic development. It can be assumed that innovation efforts in countries such as Mexico, the Slovak Republic and Turkey could have great potential for improvement. Based on the results, innovations should be considered a part of tourism development strategies, while ICTs play an important role in this issue. It is desirable to support effective tools to increase the number of innovations in tourism. These innovation efforts at the national level may translate into higher tourism spending, which appears to be economically beneficial.

Keyword : economic development, expenditure, innovations, information and communication technologies, ecological sustainability, tourism, OECD

How to Cite
Gavurova, B., Belas, J., Valaskova, K., Rigelsky, M., & Ivankova, V. (2021). Relations between infrastructure innovations and tourism spending in developed countries: a macroeconomic perspective. Technological and Economic Development of Economy, 27(5), 1072-1094. https://doi.org/10.3846/tede.2021.15361
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Aug 26, 2021
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References

Adedoyin, F. F., & Bekun, F. V. (2020). Modelling the interaction between tourism, energy consumption, pollutant emissions and urbanization: Renewed evidence from panel VAR. Environmental Science and Pollution Research, 27(31), 38881–38900. https://doi.org/10.1007/s11356-020-09869-9

Adeola, O., & Evans, O. (2020). ICT, infrastructure, and tourism development in Africa. Tourism Economics, 26(1), 97–114. https://doi.org/10.1177/1354816619827712

Alonso-Almeida, M. D., Rocafort, A., & Borrajo, F. (2016). Shedding light on eco-innovation in tourism: A critical analysis. Sustainability, 8(12), 1262. https://doi.org/10.3390/su8121262

Amaro, S., Duarte, P., & Henriques, C. (2016). Travelers’ use of social media: A clustering approach. Annals of Tourism Research, 59, 1–15. https://doi.org/10.1016/j.annals.2016.03.007

Angrist, J. D., & Newey, W. K. (1991). Over-identification tests in earnings functions with fixed effects. Journal of Business and Economic Statistics, 9(3), 317–323. https://doi.org/10.1080/07350015.1991.10509857

Ardielli, E. (2020). Evaluation of eparticipation service’s availability on Czech municipal websites. International Journal of Entrepreneurial Knowledge, 8(1), 19–33. https://doi.org/10.37335/ijek.v8i2.99

Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. https://doi.org/10.1111/j.1468-0084.1987.mp49004006.x

Ballina, F. J., Valdes, L., & Del Valle, E. (2019). The Phygital experience in the smart tourism destination. International Journal of Tourism Cities, 5(4), 656–671. https://doi.org/10.1108/IJTC-11-2018-0088

Baltagi, B. H., & Li, Q. (1995). Testing AR (1) against MA(1) disturbances in an error component model. Journal of Econometrics, 68(1), 133–151. https://doi.org/10.1016/0304-4076(94)01646-H

Brida, J. G., & Scuderi, R. (2013). Determinants of tourist expenditure: a review of microeconometric models. Tourism Management Perspectives, 6, 28–40. https://doi.org/10.1016/j.tmp.2012.10.006

Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: Lessons from tourism and hospitality. Journal of Service Management, 30(4), 484–506. https://doi.org/10.1108/JOSM-12-2018-0398

Buonincontri, P., Morvillo, A., Okumus, F., & Van Niekerk, M. (2017). Managing the experience cocreation process in tourism destinations: Empirical findings from Naples. Tourism Management, 62, 264–277. https://doi.org/10.1016/j.tourman.2017.04.014

Cornell University, INSEAD, & WIPO. (2020b). The Global Innovation Index 2020: Who will finance innovation? Cornell University, INSEAD, and the World Intellectual Property Organization, Ithaca, Fontainebleau, and Geneva. https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2020.pdf

Cornell University, INSEAD, & WIPO. (2020a). About the Global Innovation Index. https://www.globalinnovationindex.org/about-gii#reports

David-Negre, T., Hernandez, J. M., & Moreno-Gil, S. (2018). Understanding tourists’ leisure expenditure at the destination: A social network analysis. Journal of Travel & Tourism Marketing, 35(7), 922–937. https://doi.org/10.1080/10548408.2018.1447533

Divisekera, S., & Nguyen, V. K. (2018). Determinants of innovation in tourism evidence from Australia. Tourism Management, 67, 157–167. https://doi.org/10.1016/j.tourman.2018.01.010

Dogru, T., & Bulut, U. (2018). Is tourism an engine for economic recovery? Theory and empirical evidence. Tourism Management, 67, 425–434. https://doi.org/10.1016/j.tourman.2017.06.014

Dogru, T., Bulut, U., Kocak, E., Isik, C., Suess, C., & Sirakaya-Turk, E. (2020). The nexus between tourism, economic growth, renewable energy consumption, and carbon dioxide emissions: Contemporary evidence from OECD countries. Environmental Science and Pollution Research, 27(32), 40930–40948. https://doi.org/10.1007/s11356-020-10110-w

Dragicevic, V., Jovicic, D., Blesic, I., Stankov, U., & Boskovic, D. (2012). Business tourism destination competitiveness: A case of Vojvodina province (Serbia). Economic Research-Ekonomska Istraživanja, 25(2), 311–331. https://doi.org/10.1080/1331677X.2012.11517510

Dvorsky, J., Kliestik, Z., Cepel, M., & Strnad, Z. (2020). The influence of some factors of competitiveness on business risks. Journal of Business Economics and Management, 21(5), 1451–1465. https://doi.org/10.3846/jbem.2020.13440

Eco-innovation Observatory. (2016). Eco-innovate: A guide to eco-innovation for SMEs and business coaches. https://cfsd.org.uk/site-pdfs/SME_eco-innovation_guide_2nd_edition_small.pdf

Eugenio-Martin, J. L., & Campos-Soria, J. A. (2014). Economic crisis and tourism expenditure cutback decision. Annals of Tourism Research, 44, 53–73. https://doi.org/10.1016/j.annals.2013.08.013

European Commission. (2014). Guide on EU funding for the tourism sector (2014-2020). https://ec.europa.eu/growth/content/guide-eu-funding-tourism-sector-2014-2020_en

European Commission. (2016). International tourism trends in EU-28 member states – Current situation and forecast for 2020–2025–2030. European Commission, Directorate General for Enterprise and Industry by the World Tourism Organization (UNWTO). https://ec.europa.eu/growth/content/international-tourism-trends-eu-28-member-states-current-situation-and-forecast-2020-2025-0_en

European Commission. (2019). Annual report on European SMEs 2018/2019. Research & Development and Innovation by SMEs. SME Performance Review 2018/2019. https://ec.europa.eu/growth/smes/sme-strategy/performance-review_en

European Union. (2019). Eco-innovation in Europe. A policy brief from the policy learning platform on environment and resource efficiency. https://euagenda.eu/upload/publications/untitled-202507-ea.pdf

Fialova, V., & Vasenska, I. (2020). Implications of the COVID-19 crisis for the sharing economy in tourism: The case of Airbnb in the Czech Republic, Ekonomicko-manazerske spektrum, 14(2), 78–89.

Fredman, P. (2008). Determinants of visitor expenditures in mountain tourism. Tourism Economics, 14(2), 297–311. https://doi.org/10.5367/000000008784460418

Fuchs, C., & Schreier, M. (2011). Customer empowerment in new product development. Journal of Product Innovation Management, 28(1), 17–32. https://doi.org/10.1111/j.1540-5885.2010.00778.x

Gajdosik, T., Gajdosikova, Z., Marakova, V., & Borsekova, K. (2017). Innovations and networking fostering tourist destination development in Slovakia. Quaestiones Geographicae, 36(4), 103–115. https://doi.org/10.1515/quageo-2017-0039

Garcia-Sanchez, A., Fernandez-Rubio, E., & Collado, M. D. (2013). Daily expenses of foreign tourists, length of stay and activities: Evidence from Spain. Tourism Economics, 19(3), 613–630. https://doi.org/10.5367/te.2013.0218

Ginevicius, R., Kliestik, T., Stasiukynas, A., & Suhajda, K. (2020). The impact of national economic development on the shadow economy. Journal of Competitiveness, 12(3), 39–55. https://doi.org/10.7441/joc.2020.04.03

Gomezelj, D. O. (2016). A systematic review of research on innovation in hospitality and tourism. International Journal of Contemporary Hospitality Management, 28(3), 516–558. https://doi.org/10.1108/IJCHM-10-2014-0510

Gossling, S. (2017). Tourism, information technologies and sustainability: an exploratory review. Journal of Sustainable Tourism, 25(7), 1024–1041. https://doi.org/10.1080/09669582.2015.1122017

Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: foundations and developments. Electronic Markets, 25, 179–188. https://doi.org/10.1007/s12525-015-0196-8

Grissemann, U. S., & Stokburger-Sauer, N. E. (2012). Customer co-creation of travel services: The role of company support and customer satisfaction with the co-creation performance. Tourism Management, 33(6), 1483–1492. https://doi.org/10.1016/j.tourman.2012.02.002

Hardy, A., & Aryal, J. (2020). Using innovations to understand tourist mobility in national parks. Journal of Sustainable Tourism, 28(2), 263–283. https://doi.org/10.1080/09669582.2019.1670186

Hjalager, A. M., & Flagestad, A. (2012). Innovations in well-being tourism in the Nordic countries. Current Issues in Tourism, 16(8), 725–740. https://doi.org/10.1080/13683500.2011.629720

Ibanescu, B. C., Stoleriu, O. M., & Gheorghiu, A. (2018). Gender differences in tourism behaviour in the European Union. Eastern Journal of European Studies, 9(1), 23–43.

Kassambara, A. (2017). Practical guide to cluster analysis in R: Unsupervised machine learning (Vol. 1, 1th ed.). STHDA.

Kocak, E., Ulucak, R., & Ulucak, Z. S. (2020). The impact of tourism developments on CO2 emissions: an advanced panel data estimation. Tourism Management Perspectives, 33, 100611. https://doi.org/10.1016/j.tmp.2019.100611

Krylov, S. (2019). Strategic customer analysis based on balanced scorecard. Ekonomicko-manazerske spektrum, 13(1), 12–25. https://doi.org/10.26552/ems.2019.1.12-25

Kumar, N., & Kumar, R. R. (2020). Relationship between ICT and international tourism demand: A study of major tourist destinations. Tourism Economics, 26(6), 908–925. https://doi.org/10.1177/1354816619858004

Kurniawati, M. A. (2020). The role of ICT infrastructure, innovation and globalization on economic growth in OECD countries, 1996–2017. Journal of Science and Technology Policy Management, 11(2), 203–225. https://doi.org/10.1108/JSTPM-06-2019-0065

Lee, C. C., & Chang, C. P. (2008). Tourism development and economic growth: a closer look at panels. Tourism Management, 29(1), 180–192. https://doi.org/10.1016/j.tourman.2007.02.013

Li, K. X., Jin, M., & Shi, W. (2018). Tourism as an important impetus to promoting economic growth: a critical review. Tourism Management Perspectives, 26, 135–142. https://doi.org/10.1016/j.tmp.2017.10.002

Makkonen, T., & Hokkanen, T. J. (2013). ICT innovation and local economy: Mobile game as a tourist attraction. Scandinavian Journal of Hospitality and Tourism, 13(3), 257–268. https://doi.org/10.1080/15022250.2013.772770

Marrocu, E., Paci, R., & Zara, A. (2015). Micro-economic determinants of tourist expenditure: A quantile regression approach. Tourism Management, 50, 13–30. https://doi.org/10.1016/j.tourman.2015.01.006

Milicevic, S., Petrovic, J., & Dordevic, N. (2020). ICT as a factor of destination competitiveness: The case of the republics of former Yugoslavia. Management & Marketing-Challenges for the Knowledge Society, 15(3), 381–392. https://doi.org/10.2478/mmcks-2020-0022

Mura, L. (2020). Marketing management of family businesses: results of empirical study. International Journal of Entrepreneurial Knowledge, 8(2), 56–66. https://doi.org/10.37335/ijek.v8i2.118

Nair, M., Pradhan, R. P., & Arvin, M. B. (2020). Endogenous dynamics between R&D, ICT and economic growth: Empirical evidence from the OECD countries. Technology in Society, 62, 101315. https://doi.org/10.1016/j.techsoc.2020.101315

Neuts, B., Roman, J., Nijkamp, P., & van Leeuwen, E. (2013). Digital destinations in the tourist sector: A path model for the impact of e-services on tourist expenditures in Amsterdam. Letters in Spatial and Resource Science, 6(2), 71–80. https://doi.org/10.1007/s12076-012-0087-y

Nicula, V., & Elena, P. R. (2014). Business tourism market developments. Procedia Economics and Finance, 16, 703–712. https://doi.org/10.1016/S2212-5671(14)00858-2

Oliveira, T., & Martins, M. F. (2010). Understanding e-business adoption across industries in European countries. Industrial Management & Data Systems, 110(8–9), 1337–1354. https://doi.org/10.1108/02635571011087428

Organisation for Economic Co-operation and Development, & Eurostat. (2019). Oslo manual 2018: Guidelines for collecting, reporting and using data on innovation. The measurement of scientific, technological and innovation activities (4th ed.). OECD Publishing.

Organisation for Economic Co-operation and Development. (2013). Green innovation in tourism services (OECD Tourism Papers, No. 2013/01). OECD Publishing.

Organisation for Economic Co-operation and Development. (2020). OECD.Stat. https://stats.oecd.org/

Park, S., Woo, M., & Nicolau, J. L. (2020). Determinant factors of tourist expenses. Journal of Travel Research, 59(2), 267–280. https://doi.org/10.1177/0047287519829257

Pikkemaat, B., Peters, M., & Bichler, B. F. (2019). Innovation research in tourism: Research streams and actions for the future. Journal of Hospitality and Tourism Management, 41, 184–196. https://doi.org/10.1016/j.jhtm.2019.10.007

Popescu, A. (2018). Analysis of tourism trends in the new EU member states. In Proceedings of 32nd Conference of the International Business Information Management Association (IBIMA) (pp. 4330– 4346), Seville, Spain.

R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/

Racherla, P., Hu, C., & Hyun, M. Y. (2008). Exploring the role of innovative technologies in building a knowledge-based destination. Current Issues in Tourism, 11(5), 407–428. https://doi.org/10.1080/13683500802316022

Rehman, O. U., Liu, X., Rauf, A., Ben Slama, M., & Amin, W. (2020). Internet tradition and tourism development: a causality analysis on BRI listed economies. Tourism Economics, 26(6), 926–857. https://doi.org/10.1177/1354816619846251

Schubert, E., & Rousseeuw, P. J. (2019). Faster k-medoids clustering: Improving the PAM, CLARA, and CLARANS algorithms. In G. Amato, C. Gennaro, V. Oria, & M. Radovanović (Eds.), Lecture notes in computer science: Vol. 11807. Similarity search and applications (pp. 171–187). Springer. https://doi.org/10.1007/978-3-030-32047-8_16

Sigala, M. (2018). New technologies in tourism: from multi-disciplinary to anti-disciplinary advances and trajectories. Tourism Management Perspectives, 25, 151–155. https://doi.org/10.1016/j.tmp.2017.12.003

Stefko, R., Dzuka, J., Litavcova, E., Nakatova, D., & Lacny, M. (2020). Psychological characteristics of a tourist as predictors of expenditures: an analytical review and proposal of the predictive model. Contemporary Economics, 14(3), 320–336. https://doi.org/10.5709/ce.1897-9254.407

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, 40(2), 261–275. https://doi.org/10.2307/1909405

Tarí, J. J., Pereira-Moliner, J., Molina-Azorín, J. F., & López-Gamero, M. D. (2020). A taxonomy of quality standard adoption: Its relationship with quality management and performance in tourism organizations in Spain. Journal of Tourism and Services, 21(11), 22–37. https://doi.org/10.29036/jots.v11i21.151

Trunfio, M., & Campana, S. (2019). Drivers and emerging innovations in knowledge-based destinations: Towards a research agenda. Journal of Destination Marketing & Management, 14, 100370. https://doi.org/10.1016/j.jdmm.2019.100370

Uslu, A., Alagöz, G., & Güneş, E. (2020). Socio-cultural, economic, and environmental effects of tourism from the point of view of the local community. Journal of Tourism and Services, 21(11), 1–21. https://doi.org/10.29036/jots.v11i21.147

Usmani, G., Akram, V., & Praveen, B. (2021). Tourist arrivals, international tourist expenditure, and economic growth in BRIC countries. Journal of Public Affairs, 21(2), e2202. https://doi.org/10.1002/pa.2202

Uyen, J. G. (2019). SEM analysis for tourist expenditure in an emerging country. Economía y Sociedad, 24(56), 68–81. https://doi.org/10.15359/eys.24-56.4

Venkatesh, U. (2006). Leisure: meaning and impact on leisure travel behaviour. Journal of Services Research, 6, 87–108.

Vietze, C. (2011). What’s pushing international tourism expenditures? Tourism Economics, 17(2), 237– 260. https://doi.org/10.5367/te.2011.0039

Wang, D., & Xiang, Z. (2012). The new landscape of travel: a comprehensive analysis of smartphone apps. In M. Fuchs, F. Ricci, & L. Cantoni (Eds.), Information and communication technologies in tourism 2012 (pp. 308–319). Springer. https://doi.org/10.1007/978-3-7091-1142-0_27

Wang, Y., & Davidson, M. C. G. (2010). A review of micro-analyses of tourist expenditure. Current Issues in Tourism, 13(6), 507–524. https://doi.org/10.1080/13683500903406359

Wooldridge, J. M. (2010). Econometric analysis of cross–section and panel data. The MIT Press.

World Travel & Tourism Council. (2020). Total contribution to GDP. Tourism expenditure. https://wttc.org/

Wu, L., Zhang, J., & Fujiwara, A. (2013). Tourism participation and expenditure behaviour: analysis using a scobit based discrete-continuous choice model. Annals of Tourism Research, 40, 1–17. https://doi.org/10.1016/j.annals.2012.09.002

Xiang, Z., Tussyadiah, I., & Buhalis, D. (2015). Smart destinations: foundations, analytics, and applications. Journal of Destination Marketing & Management, 4(3), 143–144. https://doi.org/10.1016/j.jdmm.2015.07.001

Yang, C.-W., Wu, C.-L., & Lu, J.-L. (2021). Exploring the interdependency and determinants of tourism participation, expenditure, and duration: an analysis of Taiwanese citizens traveling abroad. Tourism Economics, 27(4), 649–669. https://doi.org/10.1177/1354816619896656