Powiadomienia systemowe
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The current paper aims at enhancing the existing literature of studies discussing the parameters, which formulate the phenomenon of the energy efficiency gap in hotels. Specifically, the obtained outcomes, as resulted by the conduction of a stated preference survey are presented and discussed. The survey was carried out on a representative sample of hotels in Greece in the context of the “Consumer Energy Efficiency Decision making (CONSEED)” project. Emphasis was given on various issues related to the energy efficiency gap, such as the impact of EU labelling scheme, the linkage of the pro-environmental behaviour with the willingness to invest in more energy-efficient technologies and equipment, the lack of information about electricity prices and the imperfect understanding of energy operating costs. The findings of the survey can be used to explain the role of the behaviour in the decision-making procedures for the further promotion of energy efficiency. Theoretical models can be developed with the collected data to examine the energy efficiency gap phenomenon and to quantify the contribution of different factors to its formulation including the calculation of the implicit discount rate. Finally, the design of more effective policies can be supported with the findings of the paper maximizing the private and social benefits, which are associated with the purchase of energy-efficient technologies and equipment in the hotel sector.
Wydawca
Czasopismo
Rocznik
Tom
Strony
5--20
Opis fizyczny
Bibliogr. 47 poz.
Twórcy
autor
- Center for Renewable Energy Sources, 19th km Marathonos Ave, 19009, Pikermi Attiki, Greece
autor
- University of Western Macedonia, Kila Kozani, 50100 Kozani, Greece
autor
- National Technical University of Athens, 9, Iroon Polytechniou str, 15780 Zografou, Greece
autor
- Kuwait University, Jamal Abdul Nasser St, Kuwait
Bibliografia
- [1] Greek Tourism Confederation. Greek Tourism - Basic Figures 2018 2020. https://sete.gr/en/strategy-fortourism/basic-figures-repository/.
- [2] Greek Ministry of Environment and Energy. Registry of the statistical results for the energy performance of the buildings 2020. http://www.ypeka.gr.
- [3] Hotel Energy Solutions. Analysis on Energy Use by European Hotels - Online Survey and Desk Research. 2011.
- [4] Sheng Y, Miao Z, Zhang J, Lin X, Ma H. Energy consumption model and energy benchmarks of five-star hotels in China. Energy and Buildings, 165 (2018), 286-292.
- [5] Idahosa LO, Marwa NN, Akotey JO. Energy (electricity) consumption in South African hotels: A panel data analysis. Energy and Buildings, 156 (2017), 207-217.
- [6] Oluseyi PO, Babatunde OM, Babatunde OA. Assessment of energy consumption and carbon footprint from the hotel sector within Lagos, Nigeria. Energy and Buildings, 118 (2016), 106-113.
- [7] Parpairi K. Sustainability and Energy Use in Small Scale Greek Hotels: Energy Saving Strategiesand Environmental Policies. P Procedia Environmental Sciences, 38 (2017), 169-177.
- [8] Cingoski V, Petrevska B. Making hotels more energy efficient: The managerial perception. Economic Research-Ekonomska Istraživanja, 31 (2018 ), 87-101.
- [9] Karagiorgas M, Tsoutsos T, Moiá-Pol A. A simulation of the energy consumption monitoring in Mediterranean hotels. Application in Greece. Energy and Buildings, 39 (2007), 416-426.
- [10] Lu S, Wei S, Zhang K, Kong X, Wu W. Investigation and analysis on the energy consumption of starred hotel buildings in Hainan Province, the tropical region of China. E Energy Conversion and Management, 75 (2013), 570-580.
- [11] Pieri SP, Tzouvadakis I, Santamouris M. Identifying energy consumption patterns in the Attica hotel sector using cluster analysis techniques with the aim of reducing hotels' CO2 footprint. Energy and Buildings, 94 (2015), 252-262.
- [12] Eva M, Yacob M, Walter W. Energy consumption in the Greek hotel sector: The influence of various factors on hotels' carbon footprints under the implementation of the EU and Greek legislative framework. In: Howlett R.J., Jain L.C., Lee S.H. (eds) Sustainability in Energy and Buildings, 2009. Springer, Berlin, Heidelberg.
- [13] Bianco V, Righi D, Scarpa F, Tagliafico LA. Modeling energy consumption and efficiency measures in the Italian hotel sector. Energy and Buildings, 149 (2017), 329-338.
- [14] Kang KH, Stein L, Heo CY, Lee S. Consumers' willingness to pay for green initiatives of the hotel industry. International Journal of Hospitality Management, 31 (2012), 564-572.
- [15] Kostakis I, Sardianou E. Which factors affect the willingness of tourists to pay for renewable energy? Renewable Energy, 38 (2012), 169-172.
- [16] Rahman I, Chen H, Reynolds D. Evidence of green signaling in green hotels. International Journal of Hospitality Management, 85 (2020), 102444.
- [17] Nirnri R, Patiar A, Kensbock S. A green step forward: Eliciting consumers' purchasing decisions regarding green hotel accommodation in Australia. Journal of Hospitality and Tourism Management, 33 (2017), 43-50.
- [18] Yadav R, Balaji MS, Jebarajakirthy C. How psychological and contextual factors contribute to travelers' propensity to choose green hotels? International Journal of Hospitality Management, 77 (2019), 385-395.
- [19] Merli R, Preziosi M, Acampora A, Ali F. Why should hotels go green? Insights from guests experience in green hotels. International Journal of Hospitality Management, 81 (2019), 169-179.
- [20] Rahman I, Reynolds D. Predicting green hotel behavioral intentions using a theory of environmental commitment and sacrifice for the environment. International Journal of Hospitality Management, 52 (2016), 107-116.
- [21] Leroux E, Pupion PC. Factors of adoption of eco-labelling in hotel industry. Technological Forecasting and Social Change, 129 (2018), 194-209.
- [22] Asadi S, OmSalameh Pourhashemi S, Nilashi M, Abdullah R, Samad S, Yadegaridehkordi E, Aljojo N, Razali NS Investigating influence of green innovation on sustainability performance: A case on Malaysian hotel industry. Journal of Cleaner Production, 258 (2020), 120860.
- [23] Damigos D, Kontogianni A, Tourkolias C, Skourtos M. Behind the scenes: Why are energy efficient home appliances such a hard sell? Resources, Conservation and Recycling, 158 (2020), 104761.
- [24] Banerjee A, Solomon BD. Eco-labeling for energy efficiency and sustainability: A meta-evaluation of US programs. Energy Policy, 31 (2003), 109-123.
- [25] Sammer K, Wüstenhagen R. The influence of eco-labelling on consumer behaviour - Results of a discrete choice analysis for washing machines. Business Strategy and the Environment, 15 (2006), 185-199.
- [26] Jaffe AB, Stavins RN. The energy-efficiency gap What does it mean? Energy Policy, 22 (1994), 804-810.
- [27] Neuman WL. Social Research Methods: Qualitative and Quantitative Approaches, 7th edn, Pearson/Allyn and Bacon, Boston. 2011.
- [28] Starr MA. Qualitative and mixed-methods research in economics: Surprising growth, promising future. Journal of Economic Survey, 28 (2014), 238-264.
- [29] Bickman L, Rog D, Fowler F, Cosenza C. Design and Evaluation of Survey Questions. In: The SAGE Handbook of Applied Social Research Methods, SAGE Publications, Inc., 2014, 375-412.
- [30] Czaja R, Blair J. Designing Surveys. Pine Forge Press; 2011.
- [31] Dickson J, Fowler F, Mangione T. Improving Survey Questions: Design and Evaluation. Journal of Marketing Research, 34, 2 (1997), 296-298.
- [32] Fowler FJJ. Questions to measure subjective states. In: Improving Survey Questions: Design and Evaluation, 1995, 46-77.
- [33] Stopher P. Collecting, managing, and assessing data using sample surveys. Cambridge University Press; 2012.
- [34] Aldrich J, Nelson F. Linear Probability, Logit, and Probit Models, SAGE Publications, Inc. 2011.
- [35] Anderson JA. Regression and Ordered Categorical Variables. Journal of the Royal Statistical Society. Series B (Methodological), 46, 1 (1984), 1-30.
- [36] Brant R. Assessing Proportionality in the Proportional Odds Model for Ordinal Logistic Regression. Biometrics 46, 4 (1990), 1171-1178.
- [37] Greene WWH. Econometric analysis 7th Ed. Prentice Hall (Vol. 97). Pearson Education Limited, 2012.
- [38] Long JS, Freese J. Regression Models for Categorical Dependent Variables Using STATA. Stata Press, 2001.
- [39] Blasch J, Filippini M, Kumar N. Boundedly rational consumers, energy and investment literacy, and the display of information on household appliances. Resource and Energy Economics, 56 (2019), 39-58.
- [40] Jackson J. Promoting energy efficiency investments with risk management decision tools. Energy Policy, 38 (2010), 3865-3873.
- [41] Abadie LM, Ortiz RA, Galarraga I. Determinants of energy efficiency investments in the US. Energy Policy 45 2012), 551-566.
- [42] Gerarden TD, Newell RG, Stavins RN. Assessing the energy-efficiency gap. Journal of Economic Literature, 55, (2017), 1486-1525.
- [43] Gerarden T, Newell RG, Stavins RN. Deconstructing the energy efficiency gap: Conceptual frameworks and evidence. American Economic Review, 15 (2015), 183-186.
- [44] Kubiak RJ. Decision making in energy efficiency investments - A review of discount rates and their implications for policy making. Eceee Industrial Summer Study Proceedings, 2016.
- [45] Bohdanowicz P, Churie-Kallhauge A, Martinac I, Rezachek D. Energy-Efficiency and Conservation in Hotels - Towards Sustainable Tourism. 4th International Symposium on Asia Pacific Architecture, 2001.
- [46] Styles D, Schönberger H, Martos JLG. Best environmental management practice in the tourism sector. Publications Office of the European Union, 2013.
- [47] Covenant of Mayors, Technical annex to the SEAP template instructions document: The Emission Factors. Air BP Ltd 2017.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-107adee6-3915-4a9c-bb1f-42738277a93b