Factors affecting energy-efficiency investment in the hotel industry: survey results from Spain

López-Bernabé, Elena; Foudi, Sébastien; Llamas, Pedro Linares; Galarraga, Ibon

doi:10.1007/s12053-021-09936-1

Cited by 20 publications

(13 citation statements)

References 53 publications

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“…Kostka et al (2013) restricted their analysis to the SMEs in China. López-Bernabé et al (2021) presented an analysis restricted to the Spanish SMEs of the hotel industry. Nigohosyan et al (2021) proposed an analysis only of the SMEs in Bulgaria.…”

Section: Previous Researchmentioning

confidence: 99%

“…The lack of knowledge about how much energy is consumed by the HVACs and about their running costs may affect the decision to purchase a HVAC. The existing energy labels are often unclear and not clearly linked to monetary information (López-Bernabé et al, 2021). In some cases, SMEs are reluctant to implement energy efficiency measures as it is believed that these can affect the daily business routines and the profitability.…”

Section: Online Survey and Its Key Learningsmentioning

confidence: 99%

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Challenges and opportunities for improving energy efficiency in SMEs: learnings from seven European projects

et al. 2023

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This paper analyses challenges and opportunities for improving energy efficiency in small and medium enterprises (SMEs) by reviewing research design and results out of seven European projects: SPEEDIER, SMEmPower Efficiency, E2Driver, Innoveas, Triple-A, DEESME and ICCEE. These projects aim to improve SMEs’ awareness of energy efficiency and support an effective decision-making-oriented approach to it. Drivers and barriers to energy efficiency improvements in European SMEs of various industrial sectors have been investigated by means of surveys, focused group discussions and interviews. A meta-analysis of the results of the seven EU projects was carried out to discover trends related to energy efficiency in European SMEs; this was supported by the use of a unifying analytic framework that enabled merging and cross-validation of the findings of the seven projects. The analysis indicated, by means of new data collected by the seven projects, that staff training, facilitation of energy audits, development of corporate policy measures and collaboration between SMEs involved in the same supply chain are key mechanisms to improve the uptake of energy efficiency measures in SMEs which has significant potential to achieve higher energy savings and energy cost reductions.

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Section: Previous Researchmentioning

confidence: 99%

Section: Online Survey and Its Key Learningsmentioning

confidence: 99%

Challenges and opportunities for improving energy efficiency in SMEs: learnings from seven European projects

et al. 2023

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“…Energy consumption in hotels differs considerably between hotel types, sizes, classes/ categories, number of rooms, customers profiles (guests visiting for business/holidays), locations (rural/remote or urban), environmental zones, services/activities types, and facilities available to guests. Major energy savings can be achieved through a commonsense approach that requires neither advanced expertise nor overinvestment [30,31].…”

Section: Energy Consumptionmentioning

confidence: 99%

“…SC23: Provide a secure location for staff to store and rent bicycles. [8,19,31] C3: Energy Efficiency and Conservation SC31: Install sensors or timers for the occupancy (motion) in low traffic areas. SC32: Use energy-efficient lamps, such as compact fluorescent (CFL) lights.…”

Section: Refmentioning

confidence: 99%

Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman

et al. 2022

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Climate change is the most serious threat that the modern world has ever faced. This has led to increasing attention from the government, industries, researchers, and practitioners on the theme of green practice. Due to the heightened awareness of climate change, the hospitality industry is under pressure to implement green practices and reduce the environmental impact of their operation. The research aims at understanding the indicators that define green practice in the hospitality industry and then developing a model that can be used to measure the green score. The research identifies twenty-six indicators of green practice in the hotel industry. These indicators were clustered into six different criteria. Based on the identified indicators and criteria, an integrated fuzzy AHP-TOPSIS method is proposed to calculate the green score. The fuzzy AHP method is used to calculate the weight of the criteria and indicators, while the fuzzy TOPSIS method is used to calculate the green score and rank hotels. The fuzzy AHP result shows that the criterion “Recycling and Reuse” has the highest weight among the identified criteria, while “Green Training and Incentives” has the lowest weight. The application of the proposed method is demonstrated by using a case study of hotels situated in the Sultanate of Oman. The result shows that the 4-star and 5-star hotels in the Sultanate have green scores between 0.56 and 0.641 out of 1.0 at a 95% confidence interval. The results further show that having a high star ranking hotel does not necessarily mean that the hotel is better in terms of green practice. The developed model helps the hotel industry to understand the indicator and criteria, as identified in this research work, they need to improve in order to improve their overall green management practice.

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“…As a first step, datasets were collected within the CONSEED project (https://www.conseedproject.eu, accessed on 30 March 2021) in a number of discrete choice experiments, along with surveys and field trials. The target was different consumer groups, spatial locations, and product categories, e.g., [12,20,[41][42][43]. The data were examined and cleaned to be made suitable to pool for econometric analysis.…”

Section: Introductionmentioning

confidence: 99%

Model Validity and Transferability Informing Behavioral Energy Policies

et al. 2021

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A number of microeconomic choice models are currently applied to demonstrate systematic biases in energy consumer behavior. The models highlight the hidden potential of energy savings from policies that target the so-called behavioral anomalies. Nevertheless, whether these patterns are repeatable or not is not clear, because the efforts to determine the transferability or generalizability of these models are practically nonexistent. This paper uses a unique collection of empirical data from five EU countries collected within the CONSEED project to refine and develop further the standard consumer decision model, validate it for policy purposes, and elaborate on its transferability between countries. The pooled samples allow for a more reliable investigation of the relative importance of the factors influencing consumers’ attitudes and beliefs towards energy investment decisions. Based on the statistical tests conducted to evaluate the “transferability” of the pooled models (i.e., the possibility of creating a “universal” model of EE from the pooled model), it can be argued that the models are transferable in specific cases since attitudinal factors and demographic characteristics play a significant role. Although the pooled models are validated, any extrapolation of the above-mentioned findings to specific populations in terms of “space” (i.e., country) and “target” (e.g., sectors and technologies) should be approached with caution from a policy perspective.

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Factors affecting energy-efficiency investment in the hotel industry: survey results from Spain

Cited by 20 publications

References 53 publications

Challenges and opportunities for improving energy efficiency in SMEs: learnings from seven European projects

Challenges and opportunities for improving energy efficiency in SMEs: learnings from seven European projects

Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman

Model Validity and Transferability Informing Behavioral Energy Policies

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