The technology-evoked time use rebound effect and its impact on pro-environmental consumer behaviour in tourism

References

• Aall, C., Klepp, I. G., Engeset, A. B., Skuland, S. E., & Støa, E. (2011). Leisure and sustainable development in Norway: Part of the solution and the problem. Leisure Studies, 30(4), 453–476. doi: 10.1080/02614367.2011.589863
   Web of Science ®Google Scholar
• Alcott, B. (2005). Jevons’ paradox. Ecological Economics, 54(1), 9–21. doi: 10.1016/j.ecolecon.2005.03.020
   Web of Science ®Google Scholar
• Alfredsson, E. C. (2004). “Green” consumption-no solution for climate change. Energy, 29(4), 513–524. doi: 10.1016/j.energy.2003.10.013
   Web of Science ®Google Scholar
• Allan, G., Hanley, N., McGregor, P., Swales, K., & Turner, K. (2007). The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom. Energy Economics, 29(4), 779–798. doi: 10.1016/j.eneco.2006.12.006
   Web of Science ®Google Scholar
• Arvesen, A., Bright, R. M., & Hertwich, E. G. (2011). Considering only first-order effects? How simplifications lead to unrealistic technology optimism in climate change mitigation. Energy Policy, 39(11), 7448–7454. doi: 10.1016/j.enpol.2011.09.013
   Web of Science ®Google Scholar
• Barker, M. A., Davis, E. A., & Weaver, P. A. (2013). Eco-friendly attitudes, barriers to participation, and differences in behavior at Green Hotels. Cornell Hospitality Quarterly, 55(1), 89–99. doi: 10.1177/1938965513504483
   Web of Science ®Google Scholar
• BBC. (2017). What do we know about HS2? BBC. Retrieved from: http://www.bbc.co.uk/news/uk-16473296.
   Google Scholar
• Becken, S. (2005). Towards sustainable tourism transport: An analysis of coach tourism in New Zealand. Tourism Geographies, 7(1), 23–42. doi: 10.1080/1461668042000324049
   Google Scholar
• Becken, S. (2008). Developing indicators for managing tourism in the face of peak oil. Tourism Management, 29(4), 695–705. doi: 10.1016/j.tourman.2007.07.012
   Web of Science ®Google Scholar
• Belaïd, F., Bakaloglou, S., & Roubaud, D. (2018). Direct rebound effect of residential gas demand: Empirical evidence from France. Energy Policy, 115, 23–31. doi: 10.1016/j.enpol.2017.12.040
   Web of Science ®Google Scholar
• Bentzen, J. (2004). Estimating the rebound effect in US manufacturing energy consumption. Energy Economics, 26(1), 123–134. doi: 10.1016/S0140-9883(03)00047-1
   Web of Science ®Google Scholar
• Biesiada, J. (2017). Alexa's hospitality skill: Hotel concierge. Travel Weekly. Retrieved from: http://www.travelweekly.com/Travel-News/Hotel-News/Alexa-skill-Hotel-concierge.
   Google Scholar
• Bilgihan, A., Smith, S., Ricci, P., & Bujisic, M. (2016). Hotel guest preferences of in-room technology amenities. Journal of Hospitality and Tourism Technology, 7(2), 118–134. doi: 10.1108/JHTT-02-2016-0008
   Web of Science ®Google Scholar
• Binswanger, M. (2001). Technological progress and sustainable development: What about the rebound effect?. Ecological Economics, 36(1), 119–132. doi: 10.1016/S0921-8009(00)00214-7
   Web of Science ®Google Scholar
• Brännlund, R., Ghalwash, T., & Nordström, J. (2007). Increased energy efficiency and the rebound effect: Effects on consumption and emissions. Energy Economics, 29(1), 1–17. doi: 10.1016/j.eneco.2005.09.003
   Web of Science ®Google Scholar
• Brenčič, V., & Young, D. (2009). Time-saving innovations, time allocation, and energy use: Evidence from Canadian households. Ecological Economics, 68(11), 2859–2867. doi: 10.1016/j.ecolecon.2009.06.005
   Web of Science ®Google Scholar
• Broberg, T., Berg, C., & Samakovlis, E. (2015). The economy-wide rebound effect from improved energy efficiency in Swedish industries – A general equilibrium analysis. Energy Policy, 83, 26–37. doi: 10.1016/j.enpol.2015.03.026
   Web of Science ®Google Scholar
• Brookes, L. (1990). The greenhouse effect: The fallacies in the energy efficiency solution. Energy Policy, 18(2), 199–201. doi: 10.1016/0301-4215(90)90145-T
   Web of Science ®Google Scholar
• Budeanu, A. (2007). Sustainable tourist behaviour – A discussion of opportunities for change. International Journal of Consumer Studies, 31(5), 499–508. doi: 10.1111/j.1470-6431.2007.00606.x
   Web of Science ®Google Scholar
• Buhl, J., & Acosta, J. (2016). Work less, do less? Working time reductions and rebound effects. Sustainability Science, 11(2), 261–276. doi: 10.1007/s11625-015-0322-8
   Web of Science ®Google Scholar
• Buhl, J., von Geibler, J., Echternacht, L., & Linder, M. (2017). Rebound effects in Living Labs: Opportunities for monitoring and mitigating re-spending and time use effects in user integrated innovation design. Journal of Cleaner Production, 151, 592–602. doi: 10.1016/j.jclepro.2017.03.001
   Web of Science ®Google Scholar
• Chitnis, M., Sorrell, S., Druckman, A., Firth, S. K., & Jackson, T. (2013). Turning lights into flights: Estimating direct and indirect rebound effects for UK households. Energy Policy, 55, 234–250. doi: 10.1016/j.enpol.2012.12.008
   Web of Science ®Google Scholar
• Davis, L. W. (2008). Durable goods and residential demand for energy and water: Evidence from a field trial. The RAND Journal of Economics, 39(2), 530–546. doi: 10.1111/j.0741-6261.2008.00026.x
   Web of Science ®Google Scholar
• De Borger, B., Mulalic, I., & Rouwendal, J. (2016). Measuring the rebound effect with micro data: A first difference approach. Journal of Environmental Economics and Management, 79, 1–17. doi: 10.1016/j.jeem.2016.04.002
   Web of Science ®Google Scholar
• DECC. (2012). The energy efficiency strategy: The energy efficiency opportunity in the UK. London: DECC. Retrieved from: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/65602/6927-energy-efficiency-strategy–the-energy-efficiency.pdf.
   Google Scholar
• De Haan, P., Mueller, M. G., & Peters, A. (2006). Does the hybrid Toyota Prius lead to rebound effects? Analysis of size and number of cars previously owned by Swiss Prius buyers. Ecological Economics, 58(3), 592–605. doi: 10.1016/j.ecolecon.2005.08.009
   Web of Science ®Google Scholar
• Dickinson, J. E., Lumsdon, L. M., & Robbins, D. (2011). Slow travel: Issues for tourism and climate change. Journal of Sustainable Tourism, 19(3), 281–300. doi: 10.1080/09669582.2010.524704
   Web of Science ®Google Scholar
• Dickinson, J. E., & Peeters, P. (2014). Time, tourism consumption and sustainable development. International Journal of Tourism Research, 16(1), 11–21. doi: 10.1002/jtr.1893
   Web of Science ®Google Scholar
• Dickinson, J. E., & Robbins, D. (2008). Representations of tourism transport problems in a rural destination. Tourism Management, 29(6), 1110–1121. doi: 10.1016/j.tourman.2008.02.003
   Web of Science ®Google Scholar
• Druckman, A., Chitnis, M., Sorrell, S., & Jackson, T. (2011). Missing carbon reductions? Exploring rebound and backfire effects in UK households. Energy Policy, 39(6), 3572–3581. doi: 10.1016/j.enpol.2012.06.045
   Web of Science ®Google Scholar
• Druckman, A., Buck, I., Hayward, B., & Jackson, T. (2012). Time, gender and carbon: A study of the carbon implications of British adults' use of time. Ecological Economics, 84, 153–163. doi: 10.1016/j.ecolecon.2012.09.008
   Web of Science ®Google Scholar
• Filimonau, V., Dickinson, J., & Robbins, D. (2014). The carbon impact of short-haul tourism: A case study of UK travel to Southern France using life cycle analysis. Journal of Cleaner Production, 64, 628–638. doi: 10.1016/j.jclepro.2013.07.052
   Web of Science ®Google Scholar
• Filimonau, V., Mika, M., & Pawlusiński, R. (2018). Public attitudes to biofuel use in aviation: Evidence from an emerging tourist market. Journal of Cleaner Production, 172, 3102–3110. doi: 10.1016/j.jclepro.2017.11.101
   Web of Science ®Google Scholar
• Fisher, D., & Stewart, E. J. (2017). Tourism, time, and the last chance. Tourism Analysis, 22(4), 511–521. doi: 10.3727/108354217X15023805452068
   Web of Science ®Google Scholar
• Font Vivanco, D., McDowall, W., Freire-González, J., Kemp, R., & van der Voet, E. (2016). The foundations of the environmental rebound effect and its contribution towards a general framework. Ecological Economics, 125, 60–69. doi: 10.1016/j.ecolecon.2016.02.006
   Web of Science ®Google Scholar
• Freire-González, J. (2017). Evidence of direct & indirect rebound effect in households in EU-27 countries. Energy Policy, 102, 270–276. doi: 10.1016/j.enpol.2016.12.002
   Web of Science ®Google Scholar
• Gillingham, K., Rapson, D., & Wagner, G. (2016). The rebound effect and energy efficiency policy. Review of Environmental Economics and Policy, 10(1), 68–88. doi: 10.1093/reep/rev017
   Web of Science ®Google Scholar
• Gołembski, G., & Niezgoda, A. (2012). The role of time in the global tourism market – A demand perspective. In M. Kasimoglu (Ed.), Visions for global tourism industry: Creating and sustaining competitive strategies (pp. 167–178). Rijeka: IntechOpen.
   Google Scholar
• Gössling, S. (2015). New performance indicators for water management in tourism. Tourism Management, 46, 233–244.
   Web of Science ®Google Scholar
• Gössling, S., Hall, C. M., Peeters, P., & Scott, S. (2010). The future of tourism: Can tourism growth and climate policy be reconciled? A mitigation perspective. Tourism Recreation Research, 35(2), 119–130. doi: 10.1080/02508281.2010.11081628
   Google Scholar
• Gössling, S., & Peeters, P. (2007). ‘It does not harm the environment!’: An analysis of industry discourses on tourism, air travel and the environment. Journal of Sustainable Tourism, 15(4), 402–417. doi: 10.2167/jost672.0
   Google Scholar
• Gössling, S., Scott, D., & Hall, C. M. (2013). Challenges of tourism in a low-carbon economy. Wiley Interdisciplinary Reviews: Climate Change, 4(6), 525–538. doi: 10.1002/wcc.243
   Web of Science ®Google Scholar
• Greening, L. A., Greene, D. L., & Difiglio, C. (2000). Energy efficiency and consumption-the rebound effect – a survey. Energy Policy, 28(6/7), 389–401. doi: 10.1016/S0301-4215(00)00021-5
   Web of Science ®Google Scholar
• Haas, R., & Biermayr, P. (2000). The rebound effect for space heating Empirical evidence from Austria. Energy Policy, 28(6-7), 403–410. doi: 10.1016/S0301-4215(00)00023-9
   Web of Science ®Google Scholar
• Hall, C. M. (2009). Degrowing tourism: Décroissance, sustainable consumption and steady-state tourism. Anatolia, 20(1), 46–61. doi: 10.1080/13032917.2009.10518894
   Google Scholar
• Hall, C. M. (2013). Framing behavioural approaches to understanding and governing sustainable tourism consumption: Beyond neoliberalism, “nudging” and “green growth”?. Journal of Sustainable Tourism, 21(7), 1091–1109. doi: 10.1080/09669582.2013.815764
   Web of Science ®Google Scholar
• Hall, C. M. (2015). Economic greenwash: On the absurdity of tourism and green growth. In M.V. Reddy & K. Wilkes (Eds.), Tourism in the green economy (pp. 339–358). London: Routledge.
   Google Scholar
• Hall, C. M., Dayal, N., Majstorović, D., Mills, H., Paul-Andrews, L., Wallace, C., & Truong, V. D. (2016). Accommodation consumers and providers’ attitudes, behaviours and practices for sustainability: A systematic review. Sustainability, 8(7), 625. doi: 10.3390/su8070625
   Web of Science ®Google Scholar
• Hall, C. M., Gössling, S., & Scott, D. (2015). Tourism and sustainability: Towards a green(er) tourism economy?. In C.M. Hall, S. Gössling, & D. Scott (Eds.), The Routledge handbook of tourism and sustainability (pp. 490–520). London: Routledge.
   Google Scholar
• Hall, C. M., & Lew, A. (2009). Understanding and managing tourism impacts: An integrated approach. New York: Routledge.
   Google Scholar
• Hertwich, E. G. (2005). Consumption and the rebound effect: An industrial ecology perspective. Journal of Industrial Ecology, 9(1-2), 85–98. doi: 10.1162/1088198054084635
   Web of Science ®Google Scholar
• Higham, J., Cohen, S. A., Peeters, P., & Gössling, S. (2013). Psychological and behavioural approaches to understanding and governing sustainable mobility. Journal of Sustainable Tourism, 21(7), 949–967. doi: 10.1080/09669582.2013.828733
   Web of Science ®Google Scholar
• Hofstetter, P., Madjar, M., & Ozawa, T. (2006). Happiness and sustainable consumption: Psychological and physical rebound effects at work in a tool for sustainable design. The International Journal of Life Cycle Assessment, 11(1), 105–115. doi: 10.1065/lca2006.04.018
   Web of Science ®Google Scholar
• Hymel, K. M., Small, K. A., & Dender, K. V. (2010). Induced demand and rebound effects in road transport. Transportation Research Park B Methodological, 44(10), 1220–1241. doi: 10.1016/j.trb.2010.02.007
   Web of Science ®Google Scholar
• Jäckel, M., & Wollscheid, S. (2007). Time is money and money needs time? A secondary analysis of time-budget data in Germany. Journal of Leisure Research, 39(1), 86–108. doi: 10.1080/00222216.2007.11950099
   Web of Science ®Google Scholar
• Jacobsen, J. K. S., Gössling, S., Dybedal, P., & Skogheim, T. S. (2018). Exploring length of stay: International tourism in south-western Norway. Journal of Hospitality and Tourism Management, 35, 29–35. doi: 10.1016/j.jhtm.2018.02.003
   Web of Science ®Google Scholar
• Jalas, M. (2002). A time use perspective on the materials intensity of consumption. Ecological Economics, 41(1), 109–123. doi: 10.1016/S0921-8009(02)00018-6
   Web of Science ®Google Scholar
• Jalas, M. (2004). Sustainability in everyday life – A matter of time?. In L.A. Reisch & I. Rpke (Eds.), The ecological economics of consumption (pp. 151–171). Cheltenham: Edward Elgar.
   Google Scholar
• Jalas, M. (2005). The everyday life context of increasing energy demands: Time use survey data in a decomposition analysis. Journal of Industrial Ecology, 9(1-2), 129–145. doi: 10.1162/1088198054084644
   Web of Science ®Google Scholar
• Jalas, M. (2006). Busy, wise and idle time: A study of temporalities of consumption in the environmental debate. Helsinki: HSE Print.
   Google Scholar
• Jalas, M., & Juntunen, J. K. (2015). Energy intensive lifestyles: Time use, the activity patterns of consumers, and related energy demands in Finland. Ecological Economics, 113, 51–59. doi: 10.1016/j.ecolecon.2015.02.016
   Web of Science ®Google Scholar
• Jägerbrand, A. K., Dickinson, J., Mellin, A., Viklund, M., & Dahlberg, S. (2014). Rebound effects of energy efficiency measures in the transport sector in Sweden. Linköping: VTI. 827A.
   Google Scholar
• Jenkins, J., Nordhaus, T., & Shellenberger, M. (2011). Energy emergence: Rebound & backfire as emergent phenomena. Oakland, CA: Breakthrough Institute.
   Google Scholar
• Kelly, J., Haider, W., & Williams, P. W. (2007). A behavioral assessment of tourism transportation options for reducing energy consumption and greenhouse gases. Journal of Travel Research, 45(3), 297–309. doi: 10.1177/0047287506292700
   Google Scholar
• Khazzoom, J. D. (1980). Economic implications of mandated efficiency in standards for household appliances. The Energy Journal, 1(4), 21–40.
   Google Scholar
• Kim, S., & Filimonau, V. (2017). On linguistic relativity and pro-environmental attitudes in tourism. Tourism Management, 63, 158–169. doi: 10.1016/j.tourman.2017.06.012
   Web of Science ®Google Scholar
• King, L. C., & van den Bergh, C. J. M. (2017). Worktime reduction as a solution to climate change: Five scenarios compared for the UK. Ecological Economics, 132, 124–134. doi: 10.1016/j.ecolecon.2016.10.011
   Web of Science ®Google Scholar
• Knight, K. W., Rosa, E. A., & Schor, J. B. (2013). Could working less reduce pressures on the environment? A cross-national panel analysis of OECD countries, 1970-2007. Global Environmental Change, 23(4), 691–700. doi: 10.1016/j.gloenvcha.2013.02.017
   Web of Science ®Google Scholar
• Knowles, R. D. (2006). Transport shaping space: Differential collapse in time-space. Journal of Transport Geography, 14(6), 407–425. doi: 10.1016/j.jtrangeo.2006.07.001
   Web of Science ®Google Scholar
• Krakover, S. (2002). Time dimension and tourism development in peripheral areas. In S. Krakover & Y. Grandus (Eds.), Tourism in frontier areas (pp. 21–37). Lanham, ML: Lexington Books.
   Google Scholar
• Lamers, M., Eijgelaar, E., & Amelung, B. (2015). The environmental challenges of cruise tourism: Impacts and the governance. In S. Gössling, M. Hall, & D. Scott (Eds.), The Routledge handbook of tourism and sustainability (pp. 430–439). London: Routledge.
   Google Scholar
• 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), 522–528. doi: 10.1038/s41558-018-0141-x
   Web of Science ®Google Scholar
• Lewis, R. D. (2006). When cultures collide: Leading across cultures (3rd ed.). London: Nicholas Brealey.
   Google Scholar
• Litman, T. (2017). Evaluating accessibility for transport planning: Measuring people’s ability to reach desired goods and activities. Victoria Transport Policy Institute. Retrieved from: https://www.vtpi.org/access.pdf.
   Google Scholar
• Lo, H. K., Luo, X. W., & Siu, B. W. (2006). Degradable transport network: Travel time budget of travelers with heterogeneous risk aversion. Transportation Research Part B Methodological, 40(9), 792–806. doi: 10.1016/j.trb.2005.10.003
   Web of Science ®Google Scholar
• Lyon, G., & Urry, J. (2005). Travel time use in the information age. Transportation Research Part A, 39, 257–276. doi: 10.1016/j.tra.2004.09.004
   Google Scholar
• Maat, K., van Wee, B., & Stead, D. (2005). Land use and travel behaviour: Expected effects from the perspective of utility theory and activity-based theories. Environment and Planning B: Planning and Design, 32(1), 33–46. doi: 10.1068/b31106
   Web of Science ®Google Scholar
• McKercher, B., & Lew, A. A. (2004). Tourist flows and the spatial distribution of tourists. In A.A. Lew, C.M. Hall, & A.M. Williams (Eds.), A comparison to tourism (pp. 36–48). Oxford: Blackwell.
   Google Scholar
• Merkert, R., & Beck, M. (2017). Value of travel time savings and willingness to pay for regional aviation. Transportation Research Part A, 96, 29–42. doi: 10.1016/j.tra.2016.11.022
   Google Scholar
• Miller, G., Rathouse, K., Scarles, C., Holmes, K., & Tribe, J. (2010). Public understanding of sustainable tourism. Annals of Tourism Research, 37(3), 627–645. doi: 10.1016/j.annals.2009.12.002
   Web of Science ®Google Scholar
• Moshiri, S., & Aliyev, K. (2017). Rebound effect of efficiency improvement in passenger cars on gasoline consumption in Canada. Ecological Economics, 131, 330–341.
   Web of Science ®Google Scholar
• Munk, D. (2018). First non-stop scheduled flight from Australia to Britain lands after 17 hours. The Guardian. Retrieved from: https://www.theguardian.com/world/2018/mar/25/first-non-stop-flight-australia-britain-lands-17-hours-qantas?CMP=share_btn_link.
   Google Scholar
• Murray, C. K. (2013). What if consumers decided to all ‘go green’? Environmental rebound effects from consumption decisions. Energy Policy, 54, 240–256. doi: 10.1016/j.enpol.2012.11.025
   Web of Science ®Google Scholar
• Nässén, J., & Larsson, J. (2015). Would shorter working time reduce greenhouse gas emissions? An analysis of time use and consumption in Swedish households. Environment and Planning C: Government and Policy, 33(4), 726–745. doi: 10.1068/c12239
   Web of Science ®Google Scholar
• Nisa, C., Varum, C., & Botelho, A. (2017). Promoting sustainable hotel guest behavior: A systematic review and meta-analysis. Cornell Hospitality Quarterly, 58(4), 354–363. doi: 10.1177/1938965517704371
   Web of Science ®Google Scholar
• Otto, S., Kaiser, F. G., & Arnold, O. (2014). The critical challenge of climate change for psychology: Preventing rebound and promoting more individual irrationality. European Psychologist, 19(2), 96–106. doi: 10.1027/1016-9040/a000182
   Web of Science ®Google Scholar
• Page, S. (2009). Transport and tourism: Global perspectives (3rd ed.). Harlow: Prentice Hall.
   Google Scholar
• Peeters, P. (2010). Tourism transport, technology, and carbon dioxide emissions. In C. Schott (Ed.), Tourism and the implications of climate change: Issues and actions (pp. 67–90). Bingley: Emerald.
   Google Scholar
• Peeters, P., Higham, J., Kutzner, D., Cohen, S., & Gössling, S. (2016). Are technology myths stalling aviation climate policy?. Transportation Research Part D, 44, 30–42. doi: 10.1016/j.trd.2016.02.004
   Web of Science ®Google Scholar
• Peng, L., & Guihua, Y. (2007). Ecological footprint study on tourism itinerary products in Shangri-La, Yunnan Province, China. Acta Ecologica Sinika, 27(7), 2954–2963.
   Google Scholar
• Perl, A. D., & Goetz, A. R. (2015). Corridors, hybrids and networks: Three global development strategies for high speed rail. Journal of Transport Geography, 42, 134–144. doi: 10.1016/j.jtrangeo.2014.07.006
   Web of Science ®Google Scholar
• Peters, A., Sonnberger, M., Dütschke, E., & Deuschle, J. (2012). Theoretical perspective on rebound effects from a social science point of view: Working paper to prepare empirical psychological and sociological studies in the REBOUND project. Working paper sustainability and innovation, Karlsruhe: Fraunhofer ISI. No. S2/2012.
   Google Scholar
• Prideaux, B. (2000). The role of the transport system in destination development. Tourism Management, 21(1), 53–63. doi: 10.1016/S0261-5177(99)00079-5
   Web of Science ®Google Scholar
• Rau, H. (2015). Time use and resource consumption. In M. Fischer-Kowalski, H. Rau, & K. Zimmerer (Eds.), International encyclopedia of the social and behavioral sciences (2nd ed., pp. 373–378). Oxford: Elsevier.
   Google Scholar
• Rigas, K. (2009). Boat or airplane? Passengers’ perceptions of transport services to islands. The example of the Greek domestic leisure market. Journal of Transport Geography, 17(5), 396–401. doi: 10.1016/j.jtrangeo.2008.07.005
   Web of Science ®Google Scholar
• Roy, J. (2000). The rebound effect: Some empirical evidence from India. Energy Policy, 28(6-7), 433–438. doi: 10.1016/S0301-4215(00)00027-6
   Web of Science ®Google Scholar
• Santarius, T. (2012). Green growth unravelled: How rebound effects baffle sustainability targets when the economy keeps growing. Berlin: Heinrich Böll Foundation and Wuppertal Institute for Climate, Environment and Energy.
   Google Scholar
• Santarius, T., Walnum, H. J., & Aall, C. (2016). Introduction: Rebound research in a warming world. In T. Santarius, H.J. Walnum, & C. Aall (Eds.), Rethinking climate and energy policies: New perspectives on the rebound phenomenon (pp. 1–14). Cham: Springer International Publishing.
   Google Scholar
• Saunders, H. D. (1992). The Khazzoom-Brooks postulate and neoclassical growth. The Energy Journal, 13(4), 131–148. doi: 10.5547/ISSN0195-6574-EJ-Vol13-No4-7
   Google Scholar
• Scott, D., Gössling, S., Hall, C. M., & Peeters, P. (2016). Can tourism be part of the decarbonized global economy? The costs and risks of alternate carbon reduction policy pathways. Journal of Sustainable Tourism, 24(1), 52–72. doi: 10.1080/09669582.2015.1107080
   Web of Science ®Google Scholar
• Scott, D., Peeters, P., & Gössling, S. (2010). Can tourism deliver its “aspirational” greenhouse gas emission reduction targets?. Journal of Sustainable Tourism, 18(3), 393–408. doi: 10.1080/09669581003653542
   Web of Science ®Google Scholar
• Sekar, A., Williams, E., & Chen, R. (2018). Changes in time use and their effect on energy consumption in the United States. Joule, 2(3), 521–536. doi: 10.1016/j.joule.2018.01.003
   Web of Science ®Google Scholar
• Sharpley, R. (2000). Tourism and sustainable development: Exploring the theoretical divide. Journal of Sustainable Tourism, 8(1), 1–19. doi: 10.1080/09669580008667346
   Google Scholar
• Smith, A., Robbins, D., & Dickinson, J. E. (2019). Defining sustainable transport in rural tourism: Experiences from the New Forest. Journal of Sustainable Tourism, 27(2), 258–275. doi: 10.1080/09669582.2017.1401633
   Web of Science ®Google Scholar
• Sorrell, S. (2007). The rebound effect: An assessment of the evidence for economy-wide energy savings from improved energy efficiency. London: UKERC.
   Google Scholar
• Sorrell, S. (2015). Reducing energy demand: A review of issues, challenges and approaches. Renewable and Sustainable Energy Reviews, 47, 74–83. doi: 10.1016/j.rser.2015.03.002
   Web of Science ®Google Scholar
• Sorrell, S., & Dimitropoulos, J. (2008). The rebound effect: Microeconomic definitions, limitations and extensions. Ecological Economics, 65(3), 636–649. doi: 10.1016/j.ecolecon.2007.08.013
   Web of Science ®Google Scholar
• Spielmann, M., de Haan, P., & Scholz, R. W. (2008). Environmental rebound effects of high-speed transport technologies: A case study of climate change rebound effects of a future underground maglev train system. Journal of Cleaner Production, 16(13), 1388–1398. doi: 10.1016/j.jclepro.2007.08.001
   Web of Science ®Google Scholar
• Stapleton, L., Sorrell, S., & Schwanen, T. (2016). Estimating direct rebound effects for personal automotive travel in Great Britain. Energy Economics, 54, 313–325. doi: 10.1016/j.eneco.2015.12.012
   Web of Science ®Google Scholar
• Stein, K. (2012). Time off: The social experience of time on vacation. Qualitative Sociology, 35(3), 335–353. doi: 10.1007/s11133-012-9228-2
   Web of Science ®Google Scholar
• Stern, D. I. (2011). The role of energy in economic growth. Annals of the New York Academy of Sciences, 1219, 26–51. doi: 10.1111/j.1749-6632.2010.05921.x
   PubMed Web of Science ®Google Scholar
• Sun, Y. Y., & Lin, Z. W. (2018). Move fast, travel slow: The influence of high-speed rail on tourism in Taiwan. Journal of Sustainable Tourism, 26(3), 433–450. doi: 10.1080/09669582.2017.1359279
   Web of Science ®Google Scholar
• Takahashi, K., Tatemichi, H., Tanaka, T., Nishi, S., & Kunioka, T. (2004). Environmental impact of information and communication technologies including rebound effects. Conference Record. 2004 IEEE International Symposium on Electronics and the environment, Scottadale, AZ: IEEE. 13–16. Retrieved from: doi: 10.1109/ISEE.2004.1299680
   Google Scholar
• Thomas, B. A., & Azevedo, I. L. (2013). Estimating direct and indirect rebound effects for U.S. households with input-output analysis Part 2: Simulation. Ecological Economics, 86, 188–198. doi: 10.1016/j.ecolecon.2012.12.002
   Web of Science ®Google Scholar
• Turner, K. (2009). Negative rebound and disinvestment effects in response to an improvement in energy efficiency in the UK economy. Energy Economics, 31(5), 648–666. doi: 10.1016/j.eneco.2009.01.008
   Web of Science ®Google Scholar
• UNWTO. (2014). Responding to climate change – tourism initiatives in Asia and the Pacific. Madrid: UNWTO.
   Google Scholar
• Wang, D., & Law, F. Y. T. (2007). Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: A structural equations analysis. Transportation, 34(4), 513–527. doi: 10.1007/s11116-007-9113-0
   Web of Science ®Google Scholar
• Wang, D., Niu, Y., & Qian, J. (2018). Evolution and optimization of China's urban tourism spatial structure: A high speed rail perspective. Tourism Management, 64, 218–232. doi: 10.1016/j.tourman.2017.08.010
   Web of Science ®Google Scholar
• Wang, H., Zhou, P., & Zhou, D. Q. (2012). An empirical study of direct rebound effect for passenger transport in urban China. Energy Economics, 34(2), 452–460. doi: 10.1016/j.eneco.2011.09.010
   Web of Science ®Google Scholar
• Wang, Z., Han, B., & Lu, M. (2016). Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China. Renewable & Sustainable Energy Reviews, 58, 852–861. doi: 10.1016/j.rser.2015.12.179
   Web of Science ®Google Scholar
• Wiedenhofer, D., Smetschka, B., Akenji, L., Jalas, M., & Haberl, H. (2018). Household time use, carbon footprints, and urban form: A review of the potential contributions of everyday living to the 1.5 °C climate target. Current Opinion in Environmental Sustainability, 30, 7–17. doi: 10.1016/j.cosust.2018.02.007
   Web of Science ®Google Scholar
• Winchester, N., McConnachie, D., Wollersheim, C., & Waitz, I. A. (2013). Economic and emissions impacts of renewable fuel goals for aviation in the US. Transportation Research Part A, 58, 116–128. doi: 10.1016/j.tra.2013.10.001
   Google Scholar
• Xu, Y., Song, J., & Zhang, W. (2014). Decomposing the impacts of time use on energy consumption. Energy Procedia, 61, 1888–1892. doi: 10.1016/j.egypro.2014.12.235
   Google Scholar