References
- Arellano, M. and Bond, S. 1991. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies 58 (2): 277 – 297.
- Aslan, A., Kaplan, M., and Kula, F. 2008. International Tourism Demand for Turkey: A Dynamic Panel Data Approach. MPRA Paper 10601, University Library of Munich, Germany, September.
- Athanasoglou, P.P., Brissimis, S., and Delis, M.D. 2008. Bank-Specific, Industry-Specific and Macroeconomic Determinants of Bank Profitability. Journal of International Financial Markets Institutions and Money 18 (2): 121-136.
- Balalia, A.E. and Petrescu, R.M. 2011. The involvement of the public and private sector – elements with influence on travel & tourism demand during the crisis period. Journal of Hospitality and Tourism Management. 17 (2): 217 – 230.
- Blundell, R. and Bond, S. 1998. Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics 87 (1): 115-143.
- Bond, S., Hoeffler, A., and Temple, J. 2001. GMM Estimation of Empirical Growth Models. Economics Working Papers 2001 – W21, University of Oxford, United Kingdom, September.
- Bulut, U., Kocak, E., and Suess, C. 2020. The effect of freedom on international tourism demand: Empirical evidence from the top eight most visited countries. Tourism Economics 26 (8): 1358–1373.
- Burlea-Schiopoiu, A. and Ozuni, F. 2021. The Potential of Albanian Tourism Sector. Sustainability 13(7): 3928.
- Ciro, A. and Toska, M. 2020. Entrepreneurial Eco-Systems for Sustainable Community-Based Tourism Development in Albania: Case Studies of Community Tourism Development. In Innovation and Entrepreneurial Opportunities in Community Tourism, edited by J. Renner, R. Soares, 109 - 137. IGI Global Publisher: Pennsylvania.
- Cizmar, S. and Lisjak, S. 2007. Tourism Master Plans. An Effective Tourism Destination Management Tool in SEE. The South East European Journal of Economics and Business 2 (1): 48 – 57.
- Cuicui, L. and Wooldridge, J.M. 2020. A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form. Applied Economics Letters 27 (12): 997-1001.
- Dancausa Millán, M. G., Vazquez de la Torre, M.G., and Rojas, R. H. 2021. Analysis of the demand for gastronomic tourism in Andalusia (Spain). Plos One 16 (2): 1 – 23.
- Dritsakis, N. 2004. Tourism as a Long Run Economic Growth Factor: an empirical investigation for Greece. Tourism Economics 10 (3): 305 – 316.
- Dunne, G., Flanagan, and S. Buckley, J. 2010. Towards an understanding of international city break travel. International Journal of Tourism Research 12 (5): 409–417.
- Eugenio-Martin, J.L. 2003. Modelling determinants of tourism demand as a five-stage process: A discrete choice methodological approach. Tourism and Hospitality Research 4 (4): 341 – 354.
- Gozgor, G., Seetaram, and Lau, C.K.M. 2021. Effect of global uncertainty on international arrivals by purpose of visits and length of stay. Int. J. Tourism Res 23 (6): 1086-1098.
- Hayakawa, K. 2007. Small sample bias properties of the system GMM estimator in dynamic panel data models. Economics Letters Elsevier 95 (1): 32 – 38.
- INSTAT. 2022. Arrivals of foreign citizens at national borders by countries by Country, Type and Year. Available from http://databaza.instat.gov.al/pxweb/en/DST/START__TU__TU1/TU4/ (accessed on 27.02.2023)
- Kattara, S. H., Weheba, D., and Ahmed O. 2015. The impact of employees’ behaviour on costumers’ service quality perceptions and overall satisfaction. African Journal of Hospitality, Tourism and Leisure 4 (2): 1-14.
- Ketenci, N. 2010. Cointegration analysis of tourism demand for Turkey. Applied Econometrics and International Development 10 (1): 91 – 114.
- Koçak, E. and Yucel, A. G. 2022. Does migration fear affect tourism demand? Evidence from instrumental variable cointegration test. Tourism Economics 11 (11): 1-15.
- Könnyid, L., Váradi, Z., Nagy, Z., Ilyés N., and Horváth, O.H. 2022. The Changes in the Demographic Characteristics and Spatial Structure of Tourism Demand in the West Balaton Region’s Spa Cities. Sustainability 14 (17): 10531.
- Kripfganz, S. 2017. Sequential (two-stage) estimation of linear panel data models. Paper presented in 23rd UK Stata Users Group Meeting, University of Exeter Business School, London, September.
- Kukanja, M. and Planinc, T. 2019. Cost – effective service excellence: Exploring the relationships among restaurants’ operational efficiency, size, and service quality. The South East European Journal of Economics and Business 14 (2): 67-81.
- Lambin, J.J. 2016. Market – driven management, Marketing strategico e operative. Milan: McGraw-Hill.
- Leitão, N.C. 2015. Portuguese Tourism Demand: A dynamic Panel Data Analysis. International Journal of Economics and Financial Issues 5 (3): 673 – 677.
- Li, J., Xu, L., Tang, L., Wang, L., and Li, L. 2018. Big data in tourism research: a literature review. Tourism Management 68 (5): 301-323.
- Lickorish, L.J, Jenkins, C.L. 1997. Introduction to Tourism. London: Routledge.
- Malaj, V. 2020. Gravity-model specification for tourism flows: the case of Albania. Centre for European Studies Working Paper. Alexandru Ioan Cuza University, September 12 (2): 144-155.
- Matja, L. and Liçaj, B. 2017. Tourism and employment in Albania – is there a strong correlation?” Paper presented in the 13th International Conference of ASECU, Durres / Albania, May.
- Manuel, A. and Bover, O. 1995. Another look at the instrumental variable estimation of error-components models. Journal of Econometrics 68 (1): 29-51.
- Maps Distance Calculator. Available from https://www.calc-maps.com/map-distance/ (accessed on 11.02.2023).
- McKercher, B., Chan, A., and Lam, C. 2008. The Impact of Distance on International Tourist Movements. Journal of Travel Research 47 (2): 208-224.
- McKercher, B. and Mak, B. 2019. The impact of distance on international tourism demand. Tourism Management Perspectives 31 (1): 340 – 347.
- Nadal, J.R. and Gallego, M.S. 2022. Gravity models for tourism demand modelling: Empirical review and outlook. Journal of Economic Surveys 36 (5): 1358-1409.
- Prasetyo, P. E. 2020. The Role of Government Expenditure and Investment for MSME Growth: Empirical Study in Indonesia. The Journal of Asian Finance, Economics and Business 7 (10): 471–480.
- Pervan, M. and Jurić. E. 2021. Determinants of tourism demand in Croatia. International Journal of Economics and Statistics 9 (1): 102 – 107.
- Roodman, D. 2009. How to do Xtabond2: An Introduction to Difference and System GMM in Stata. The Stata Journal 9 (1): 86–136.
- Rodríguez, A.X., Roget, M.F., and Pawlowska, E. 2012. Academic tourism demand in Galicia, Spain. Tourism Management 33 (6): 1583-1590.
- Romilly, P., Song, H., and Liu, X. 1998. An empirical study of outbound tourism demand in the UK. Paper presented in the 17th International Symposium on Forecasting Bridgetown / Barbados, June 1997.
- Rudez, H.N. 2018. The Relationship between Income and Tourism Demand: Old Findings and New Research. Tourism and Innovation Journal 11 (1): 67-73.
- Samirkaş, M. and Samirkaş, M. 2015. The Impact of Exchange Rate on Tourism Industry: The Case of Turkey. In Handbook of Research on Global Hospitality and Tourism Management edited by A. Camillo, 107 - 118. IGI Global Publisher: Pennsylvania.
- Scutariu, A. L. 2012. Measuring the regional tourism activity in Romania: an EU Pre- and Post-Accession comparative analysis. Economic Insights - Trends and Challenges 1 (4): 79 – 88.
- Seetram, N. 2012. Immigration and International Inbound Tourism: Empirical Evidence from Australia. Tourism Management 33 (6): 1535–1543.
- Song, H., Li, G., Witt, S.F., and Fei, B. 2010. Tourism demand modelling and forecasting: how should demand be measured. Tourism Economics 16 (1): 63 – 81.
- Song, H., and Witt, S.F. 2003. Tourism forecasting: the general-to-specific approach. Journal of Travel Research 42 (1): 65-74.
- Song, H., Witt, S.F., and Li, G. 2003. Modelling and forecasting the demand for Thai tourism. Tourism Economics 9 (4): 363-387.
- Soto, M. 2009. System GMM estimation with a small sample. Working Papers 395, Barcelona School of Economics, Barcelona.
- Tawang, B., Paddu, A.H., and Tadjibu, M.D. 2020. The influence of Government Expenditure, Infrastructure, and Investment on Tourism Sector Development. Case Study (West Nusa Tenggara, South Sulawesi, North Sulawesi, Papua. Global Scientific Journals 8 (12): 728-735.
- UN DESA. 2023. Emigrants from Albania: Where did they move? Available from https://ourworldindata.org/migration (accessed on 10.02.2023).
- UWTO 2022. Global and regional tourism performance. Available from https://www.unwto.org/tourism-data/global-and-regional-tourism-performance (accessed on 28.02.2023).
- Wakimin, N.F., Azlina, A.A., Samsudin, H., Kamaludin, M. 2019. The Impact of Tourism Demand, Government Expenditure on Education, and Income on the Environment in ASEAN-5 Countries. Jurnal Ekonomi Malaysia 53 (3): 75 - 90.
- Wintoki, M.B., Linck, J.S., Netter, J.M. 2012. Endogeneity and the dynamics of internal corporate governance. Journal of Financial Economics 105 (3): 581 – 606.
- Wooldridge, J.M. 2012. Introductory Econometrics: A Modern Approach. Boston: Cengage Learning.
- World Bank, World Bank Open Data 2023. Available from https://data.worldbank.org/ (accessed 07.02.2023 – 01.03.2023).
- WTTC 2021. Albania: 2022 Annual Research: Key Highlights. Available from http://https://wttc.org/research/economic-impact (accessed on 03.03.2023).
- Wu, D.C., Song, H., and Shen, S. 2017. New developments in tourism and hotel demand modelling and forecasting. Int. J. Contemp. Hospit. Manag 29 (1): 507-529.
- Xuankai, M., Yang, Zh., and Zheng, J. 2022. Analysis of spatial patterns and driving factors of provincial tourism demand in China. Scientific Reports 12 (1): 2260.
DOI: https://doi.org/10.2478/jeb-2023-0027 | Journal eISSN: 2233-1999
Language: English
Page range: 186 - 196
Published on: Dec 10, 2023
Published by: University of Sarajevo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
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© 2023 Emiljan Karma, published by University of Sarajevo
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