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Evaluating the comprehensive impacts of tourism in Hainan by intergrating input-output model with MCDM methods

    Ping-Ping Lin   Affiliation
    ; Deng-Feng Li   Affiliation
    ; Bin-Qian Jiang   Affiliation
    ; Gao-Feng Yu   Affiliation
    ; An-Peng Wei   Affiliation

Abstract

To evaluate the comprehensive impacts of tourism in Hainan, this paper proposes an approach integrating input-output (IO) model with multi-criteria decision making (MCDM) methods. Four steps are taken: (1) constructing an extended IO model that can separate out domestic and imported effects from the traditional IO system; (2) constituting a 3-level evaluation criteria hierarchy based on various tourism multipliers obtained from the extended IO model; (3) calculating the weights of criteria using the entropy theory; (4) giving an evaluation of comprehensive impacts of tourism based on four MCDM methods – WSM, TOPSIS, ELECTRE, and PROMETHEE. Using Hainan 2002, 2007, and 2012 IO tables as database, the proposed approach is implemented in the empirical study of Hainan. The results show economic dimension is the most important consideration and the overall performance of tourism in Hainan shows a trend of first increasing and then decreasing from 2002 to 2012. Two types sensitivity analysis of weights show single criterion weight change has little influence on the results. But it is different when four dimensions weights change. Especially, when the environmental dimension is valued, the overall performance gets worse annually. These findings can offer insightful policies for the development of Hainan’s tourism.


First published online 23 June 2020

Keyword : comprehensive evaluation, tourism, input-output model, multi-criteria decision making, Hainan

How to Cite
Lin, P.-P., Li, D.-F., Jiang, B.-Q., Yu, G.-F., & Wei, A.-P. (2020). Evaluating the comprehensive impacts of tourism in Hainan by intergrating input-output model with MCDM methods. Technological and Economic Development of Economy, 26(5), 989-1029. https://doi.org/10.3846/tede.2020.12706
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References

Ahmadi, Z., Dehaghi, M. R., Meybodi, M. E., Goodarzi, M., & Aghajani, M. (2014). Pollution levels in Iranian economy sectors using input-output analysis and TOPSIS technique: an approach to sustainable development. Procedia – Social and Behavioral Sciences, 141, 1363–1368. https://doi.org/10.1016/j.sbspro.2014.05.235

Aksoy, S., & Ozbuk, M. Y. (2017). Multiple criteria decision making in hotel location: Does it relate to postpurchase consumer evaluations? Tourism Management Perspectives, 22, 73–81. https://doi.org/10.1016/j.tmp.2017.02.001

Alptekin, G., & Buyukozkan, G. (2011). An integrated case-base reasoning and MCDM system for web based tourism destination planning. Expert System With Application, 38(3), 2125–2132. https://doi.org/10.1016/j.eswa.2010.07.153

Archer, B. (1995). Importance of tourism for the economy of Bermuda. Annals of Tourism Research, 22(4), 918–930. https://doi.org/10.1016/0160-7383(95)00018-1

Artal-Tur, A., Navarro-Azorín, J. M., & Ramos-Parreño, J. M. (2019). Estimating the impact of cruise tourism through regional input–output tables. Anatolia, 30(2), 235–245. https://doi.org/10.1080/13032917.2018.1519209

Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). PROMETHEE: a comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200(1), 198–215. https://doi.org/10.1016/j.ejor.2009.01.021

Brans, J. P., & Vincke, P. (1985). A preference ranking organization method. Management Science, 31(6), 647–656. https://doi.org/10.1287/mnsc.31.6.647

Cadarso, M., Gómez, N., López, L. A., & Zafrilla, J. E. (2015). Quantifying spanish tourism’s carbon footprint: the contributions of residents and visitors: a longitudinal study. Journal of Sustainable Tourism, 23(6), 922–946. https://doi.org/10.1080/09669582.2015.1008497

Cadarso, M. Á., Gómez, N., López, L. A., & Tobarra, M. Á. (2016). Calculating tourism's carbon footprint: measuring the impact of investments. Journal of Cleaner Production, 111(B), 529–537. https://doi.org/10.1016/j.jclepro.2014.09.019

Croes, R., & Semrad, K. J. (2015). The relevance of cultural tourism as the next frontier for small island destinations. Journal of Hospitality & Tourism Research, 39(4), 469–491. https://doi.org/10.1177/1096348013491599

Cheng, Q., Guo, J. J., & Ling, S. P. (2016). Fuzzy importance-performance analysis of visitor satisfaction for theme park: the case of Fantawild Adventure in Taiwan, China. Current Issues in Tourism, 19(9), 895–912. https://doi.org/10.1080/13683500.2013.777399

Dong, Y. C., Liu, Y. T. Liang, H. M., Chiclana, F., & Herrera-Viedma, E. (2018). Strategic weight manipulation in multiple attribute decision making. Omega, 75, 154–164. https://doi.org/10.1016/j.omega.2017.02.008

Dwyer, L., Forsyth, P., & Spurr, R. (2004). Evaluating tourism’s economic effects: New and old approaches. Tourism Management, 25(3), 307–317. http://doi.org/10.1016/S0261-5177(03)00131-6

Ferrari, G., Jiménez, J. M., & Secondi, L. (2018). Tourists’ expenditure in Tuscany and its impact on the regional economic system. Journal of Cleaner Production, 171(10), 1437–1446. https://doi.org/10.1016/j.jclepro.2017.10.121

Fletcher, J. E. (1989). Input-output analysis and tourism impact studies. Annals of Tourism Research, 16(4), 514–529. https://doi.org/10.1016/0160-7383(89)90006-6

Frechtling, D. C., & Horváth, E. (1999). Estimating the multiplier effects of tourism expenditures on a local economy through a regional input-output model. Journal of Travel Research, 37(4), 324–332. https://doi.org/10.1177/004728759903700402

Hainan Provincial Bureau of Statistics & National Bureau of Statistics Hainan Investigation Team. (2019a). Hainan statistical yearbook 2002. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YHNTX&bh=

Hainan Provincial Bureau of Statistics & National Bureau of Statistics Hainan Investigation Team. (2019b). Hainan statistical yearbook 2007. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YHNTX&bh=

Hainan Provincial Bureau of Statistics & National Bureau of Statistics Hainan Investigation Team. (2019c). Hainan statistical yearbook 2012. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YHNTX&bh=

Hainan Provincial Bureau of Statistics & National Bureau of Statistics Hainan Investigation Team. (2019d). Hainan statistical yearbook 2019. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YHNTX&bh=

Hanly, P. A. (2012). Measuring the economic contribution of the international association conference market: An Irish case study. Tourism Management, 33(6), 1574–1582. https://doi.org/10.1016/j.tourman.2011.12.010

Henry, E. W., & Deane, B. (1997). The contribution of tourism to the economy of Ireland in 1990 and 1995. Tourism Management, 18(8), 535–553. https://doi.org/10.1016/S0261-5177(97)00083-6

Huang, J. H., & Peng, K. H. (2012). Fuzzy Rasch model in TOPSIS: A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries. Tourism Management, 33(2), 456–465. https://doi.org/10.1016/j.tourman.2011.05.006

Intergovernmental Panel on Climate Change. (1997). Revised 1996 IPCC guidelines for national greenhouse gas inventories reference manual (Vol. 3). Organization for Economic Cooperative Development, Paris. https://www.ipcc.ch/report/ipcc-guidelines-for-national-greenhouse-gas-inventories-2/

Kabak, Ö., & Ervural, B. (2017). Multiple attribute group decision making: a generic conceptual framework and a classification scheme. Knowledge-Based Systems, 123(1), 13–30. https://doi.org/10.1016/j.knosys.2017.02.011

Karni, R., Scanchez, P., & Tummala, V. M. R. (1990). A comparative study of multiattribute decision making methodologies. Theory and Decision, 29(3), 203–222. https://doi.org/10.1007/BF00126802

Khalid, M. A., & Ali, Y. (2019). Economic impact assessment of natural disaster with multi-criteria decision making for interdependent infrastructures. Environment Development and Sustainability. https://doi.org/10.1007/s10668-019-00499-x

Kim, S. S., Chon, K., & Chung, K. Y. (2003). Convention industry in South Korea: An economic impact analysis. Tourism Management, 24(5), 533–541. https://doi.org/10.1016/S0261-5177(03)00006-2

Konan, D. E., & Chan, H. L. (2010). Greenhouse gas emissions in Hawaii: Household and visitor expenditure analysis. Energy Economics, 32(1), 210–219. https://doi.org/10.1016/j.eneco.2009.06.015

Khoshkhoo, M. H. I., Alizadeh, V., & Pratt, S. (2017). The economic contribution of tourism in Iran: An input-output approach. Tourism Analysis, 22(3), 435–441. https://doi.org/10.3727/108354217X14955605216168

Lee, H. C., & Chang, C. T. (2018). Comparative analysis of MCDM methods for ranking renewable energy source in Taiwan. Renewable and Sustainable Energy Reviews, 92, 883–896. https://doi.org/10.1016/j.rser.2018.05.007

Leontief, W. W. (1936). Quantitative input and output relations in the economic systems of the United States. The Review of Economics and Statistics, 18(3), 105–125. https://doi.org/10.2307/1927837

Leontief, W. (1974). Environmental repercussions and the economic structure: an input-output approach: a reply. The Review of Economics and Statistics, 56(1), 109–110. https://doi.org/10.2307/1927535

Lenzen, M., Sun, Y. Y., Faturay, F., Ting, Y. P., Geschke, A., & Malik, A. (2018). The carbon footprint of global tourism. Nature Climate Change, 8(6), 522–532. https://doi.org/10.1038/s41558-018-0141-x

Li, D. F. (2005). An approach to fuzzy multiattribute decision making under uncertainty. Information Sciences, 169(1–2), 97–112. https://doi.org/10.1016/j.ins.2003.12.007

Li, L., Li, J. J., Tang, L., & Wang, S. Y. (2019). Balancing tourism’s economic benefit and CO2 emissions: An insight from input-output and tourism satellite account analysis. Sustainability, 11(4), 1052– 1071. https://doi.org/10.3390/su11041052

Li, G., Law, R., Vu, H. Q., & Rong, J. (2013). Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet integral. Tourism Management, 36, 321–330. https://doi.org/10.1016/j.tourman.2012.10.017

Liu, J., Feng, T. T., & Yang, X. (2011). Energy requirements and carbon dioxide emissions of tourism industry of western China: A case of Chengdu city. Renewable & Sustainable Energy Reviews, 15(6), 2887–2894. https://doi.org/10.1016/j.rser.2011.02.029

Liu, J., Lin, C., Huang, L., Zhu, J. H., Wu, L. J., & Li, Y. Y. (2017). Use of household survey data as a tool to assess the carbon footprint of rural tourist accommodation and related services in China: A case study of Mount Qingcheng. Sustainability, 9(10), 1680–1697. https://doi.org/10.3390/su9101680

Liu, Y. T., Zhang, H. G., Wu, Y. Z., & Dong, Y. C. (2019) Ranking range based approach to MADM under incomplete context and its application in venture investment evaluation. Technological and Economic Development of Economy, 25(5), 877–899. https://doi.org/10.3846/tede.2019.10296

Lin, C. T., Lee, C., & Chen, W. Y. (2009). An expert system approach to assess service performance of travel intermediary. Expert System with Applications, 36(2), 2987–2996. https://doi.org/10.1016/j.eswa.2008.01.079

Lin, C. L., & Kuo, C. L. (2019). A service position model of package tour services based on the hybrid MCDM approach. Current Issues in Tourism, 22(20), 2478–2510. https://doi.org/10.1080/13683500.2018.1524856

Lin, P. P., Li, D. F., Jiang, B. Q., Wei, A. P., & Yu, G. F. (2019). Regional input–output multiple choice goal programming model and method for industry structure optimization on energy conservation and GHG emission reduction in China. International Journal of Computational Intelligence Systems, 12(2), 1311–1322. https://doi.org/10.2991/ijcis.d.191104.002

Lotfi, F. H., & Fallahnejad, R. (2010). Imprecise Shannon’s entropy and multi-attribute decision making. Entropy, 12(12), 53–62. https://doi.org/10.3390/e12010053

Luo, F., Becken, S., & Zhong Y. D. (2018). Changing travel patterns in China and ‘carbon footprint’ implications for a domestic tourist destination. Tourism Management, 65, 1–13. https://doi.org/10.1016/j.tourman.2017.09.012

Marler, R. T., & Arora, J. S. (2010). The weighted sum method for multi-objective optimization: new insights. Structural and Multidisciplinary Optimization, 41(6), 853–862. https://doi.org/10.1007/s00158-009-0460-7

Meng, W. Q., Xu, L. Y., Hu, B. B., Zhou, J., & Wang, Z. L. (2016). Quantifying direct and indirect carbon dioxide emissions of the Chinese tourism industry. Journal of Cleaner Production, 126, 586–594. https://doi.org/10.1016/j.jclepro.2016.03.067

National Bureau of Statistics of China. (2008a). China regional Input-Output for 2002. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YTRCC&bh=

National Bureau of Statistics of China. (2011). China regional Input-Output for 2007. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YTRCC&bh=

National Bureau of Statistics of China. (2016). China regional Input-Output for 2012. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YTRCC&bh=

National Bureau of Statistics of China. (2004). China Energy Statistics Yearbook for 2002. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YCXME&bh=

National Bureau of Statistics of China. (2008b). China Energy Statistics Yearbook for 2007. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YCXME&bh=

National Bureau of Statistics of China. (2012). China Energy Statistics Yearbook for 2012. China Statistics Press. http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YCXME&bh=

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455. https://doi.org/10.1016/S0377-2217(03)00020-1

Osterhaven, J., & Fan, T. H. (2006). Impact of international tourism on the Chinese economy. International Journal of Tourism Research, 8(5), 347–354. https://doi.org/10.1002/jtr.582

Peng, K. H., & Tzeng, G. H. (2019). Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model. Current Issues in Tourism, 22(8), 921–947. https://doi.org/10.1080/13683500.2017.1306030

Richards, G., & Wilson, J. (2006). Developing creativity in tourist experiences: a solution to the serial reproduction of culture? Tourism Management, 27(6), 1209–1223. https://doi.org/10.1016/j.tourman.2005.06.002

Rogers, M., & Bruen, M. (1998). Choosing realistic values of indifference, preference and veto thresholds for use with environmental criteria within ELECTRE. European Journal of Operational Research, 107(3), 542–551. https://doi.org/10.1016/S0377-2217(97)00175-6

Polo, C., & Valle, E. (2008). A general equilibrium assessment of the impact of a fall in tourism under alternative closure rules: The case of the Balearic Islands. International Regional Science Review, 31(1), 3–34. https://doi.org/10.1177/0160017607309448

Pourahmad, A., Hosseini, A. H., Banaitis, A., Nasiri, H., Banaitienė, N., & Tzeng, G. H. (2015). Combination of fuzzy-AHP and DEMATEL-ANP with GIS in a new hybrid MCDM model used for the selection of the best space for leisure in a blighted urban site. Technological and Economic Development of Economy, 21(5), 773–796. https://doi.org/10.3846/20294913.2015.1056279

Pratt, S. (2011). Economic linkages and impacts across the talc. Annals of Tourism Research, 38(2), 630–650. https://doi.org/10.1016/j.annals.2010.11.014

Pratt, S. (2015a). The economic impact of tourism in SIDS. Annals of Tourism Research, 52, 148–160. https://doi.org/10.1016/j.annals.2015.03.005

Pratt, S. (2015b). Potential economic contribution of regional tourism development in China: A comparative analysis. International Journal of Tourism Research, 17(3), 303–312. https://doi.org/10.1002/jtr.1990

Saaty, T. L. (1981). The analytic hierarchy process. McGraw-Hill. https://doi.org/10.1016/B978-0-08-032599-6.50008-8

Saaty, T. L. (2013). The modern science of multicriteria decision making and its practical applications: the AHP/ANP approach. Operations Research, 61(5), 1101–1118. https://doi.org/10.1287/opre.2013.1197

Sanaú, J., Gómez‐Bahillo, C., & Moreno‐Jiménez, J. M. (2020). The economic valuation of social aspects: A multi-criteria approach based on input–output models. Journal of Multi-Criteria Decision Analysis, 1, 1–12. https://doi.org/10.1002/mcda.1700

Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(4), 379–423, 623–656. https://doi.org/10.1002/j.1538-7305.1948.tb00917.x

Sun, Y. Y. (2014). A framework to account for the tourism carbon footprint at island destinations. Tourism Management, 45, 16–27. https://doi.org/10.1016/j.tourman.2014.03.015

Sun, Y. Y., & Pratt, S. (2014). The economic, carbon emission and water impacts of Chinese visitors to Taiwan: Eco-efficiency and impact evaluation. Journal of Travel Research, 53(6), 733–746. https://doi.org/10.1177/0047287513517420

Sun, Y.Y. (2016). Decomposition of tourism greenhouse gas emissions: revealing the dynamics between tourism economic growth, technological efficiency, and carbon emissions. Tourism Management, 55, 326–336. https://doi.org/10.1016/j.tourman.2016.02.014

Tabatchnaia-Tamirisa, N., Loke, M. K., Leung, P. S., & Tucker, K. A. (1997). Energy and tourism in Hawaii. Annals of Tourism Research, 24(2), 390–401. https://doi.org/10.1016/S0160-7383(97)80008-4

Wang, J., & Liu, Y. (2013). Tourism-led land-use changes and their environmental effects in the southern coastal region of Hainan Island, China. Journal of Coastal Research, 290(5), 1118–1125. https://doi.org/10.2112/JCOASTRES-D-12-00039.1

Wallenius, J., Dyer, J. S., Fishburn, P. C., Steuer, R. E., Zionts, S., & Deb, K. (2008). Multiple criteria decision making, multi-attribute utility theory: Recent accomplishments and what lies ahead. Management Science, 54(7), 1336–1349. https://doi.org/10.1287/mnsc.1070.0838

West, G., & Gamage, A. (2001). Macro effects of tourism in Victoria, Australia: a nonlinear input-output approach. Journal of Travel Research, 40(1), 101–109. https://doi.org/10.1177/004728750104000113

Yoon, K. S., & Hwang, C. L. (1981). Multiple attribute decision making: methods and applications. Springer. https://doi.org/10.1007/978-3-642-48318-9

Yu, S. M., Wang, J., & Wang, J. Q. (2017). An interval type-2 fuzzy likelihood-based MABAC approach and its application in selecting hotels on a tourism website. International Journal of Fuzzy Systems, 19(1), 47–61. https://doi.org/10.1007/s40815-016-0217-6

Zhang, Y. Z., Martini I. P., Ge, C. D., & Zhu, D. K. (2001). Landscape and land use in Southern Hainan island, China. Chinese Science Bulletin, (46), 102–104. https://doi.org/10.1007/BF03187246

Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy – A case in the Yangtze River Delta of China. Tourism Management, 32(2), 443–451. https://doi.org/10.1016/j.tourman.2010.02.007

Zhou, D. Y., Yanagida, J. F., Chakravorty, U., & Leung, P. S. (1997). Estimating economic impacts from tourism. Annals of Tourism Research, 24(1), 76–89. https://doi.org/10.1016/S0160-7383(96)00035-7