Analysis and benchmarking of greenhouse gas emissions of luxury hotels

Huang, Kuo‐Cheng; Wang, Jen-Chun; Wang, Yi‐Chieh

doi:10.1016/j.ijhm.2015.08.014

Cited by 47 publications

(33 citation statements)

References 27 publications

(33 reference statements)

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“…We acknowledge that a per customer scaling would have complemented our analysis, offering a more holistic view. Huang et al (2015) conducted a nationwide survey in Taiwan with structured questionnaires and managed to collect relevant data (i.e., annual energy data, hotel occupancy rate, number of annually lodged guests, number of employees, room prices, and revenue) from 58 luxury hotels. This is a fruitful avenue for future research to collect additional customer-related data and extend our level of analysis.…”

Section: Discussionmentioning

confidence: 99%

Tourism Carbon Kuznets-Curve Hypothesis: A Systematic Literature Review and a Paradigm Shift to a Corporation-Performance Perspective

Papavasileiou

Tzouvanas

2020

Journal of Travel Research

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Since the introduction of the carbon Kuznets-curve hypothesis in the mid-1990s, the inverted U–shaped relationship between economic development and carbon emissions has remained a subject of debate in the social sciences. We engage tourism research in this debate, in a fourfold manner. First, we offer a systematic literature review concerning the role of tourism in the carbon Kuznets-curve hypothesis using a protocol-based reporting process. Second, we present the level of consensus with the carbon Kuznets-curve hypothesis and the conceptual gaps in the identified literature (n = 22). Third, we introduce an emerging concept, offering a novel tourism corporate/performance orientation to the carbon Kuznets-curve hypothesis. Fourth, we provide evidence of empirical validity using different econometric techniques from an international tourism corporation (n = 86) data set (2005–2018). The inverted U–shaped relationship between measures of economic and carbon performance among tourism corporations is a robust result under many different specifications.

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Section: Discussionmentioning

confidence: 99%

Tourism Carbon Kuznets-Curve Hypothesis: A Systematic Literature Review and a Paradigm Shift to a Corporation-Performance Perspective

Papavasileiou

Tzouvanas

2020

Journal of Travel Research

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“…In reality, this is an intriguing, as social media creates relationships with customers, so environmental papers recognize an increasing sense of awareness of customers for sustainability. In this research stream, papers explore water consumption, carbon footprint, land use, energy saving, and eco-resorts (Huang et al, 2015). Performance indicators are considerably different for each sub-topic.…”

Section: Cluster 8 -Social Mediamentioning

confidence: 99%

Hotel performance and research streams: a network cluster analysis

Sainaghi

Baggio

Phillips

et al. 2018

IJCHM

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Purpose This paper aims to provide a review of hotel performance within the hospitality and tourism research domain. The authors use network analysis to examine two research questions. The first relates to ascertaining general trends within the hotel performance literature, and the second focuses on identifying the salient streams and sub-topics. Design/methodology/approach Articles were selected according to three criteria: keywords, journals and year of publication. The analysis embraces 20 years (1996-2015). These choices assure a wide coverage of the literature. Using these three criteria, the sample includes 1,155 papers. For the analysis, the authors created a network of papers designated as nodes, and the citations among the papers as links. A network approach recognizes the internal structure of the network by identifying groups of nodes (papers) that are more densely connected between themselves than to other nodes within the network (modules, clusters or communities). Findings The authors found 761 papers that were “connected” studies within the network. By contrast, 34 per cent of the sample (394 papers) consists of “unconnected” studies. Excluding outliers, the net sample was 734 articles. The authors identify 14 clusters, which they break down into several sub-topics. The authors conclude by providing some conclusions regarding trends and future research directions. With regards to salient topics, cross-citation and network analysis provide a detailed picture of where the literature comes from and where it currently stands. Conclusions are articulated at the theoretical and empirical levels. Originality/value Compared with previous hotel performance reviews, the approach followed by this study enables the discovery of an analytical research map, which is able to identify both clusters and sub-topics populating each segment. Researchers are able to position their work and identify issues that are in growth and decline.

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“…The typical regression model referred to [19][20][21] is shown as Equation (1): where c 0 is the intercept; c i is the standardized regression coefficient; x i (i = 1, 2, ..., k) are the values of the factors that affect EUI, such as gross floor area, building age, occupancy rate, and so on; ε is the random error. The standardized model referred to [19,20] is shown as Equation (2):…”

Section: Methodsmentioning

confidence: 99%

Energy Performance of Hotel Buildings in Lijiang, China

et al. 2016

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Abstract:The hotel industry in China has experienced rapid growth in the past ten years and made a considerable contribution to the global tourism economy. This paper focuses on the energy performance of hotel buildings in Lijiang, China. Hotel characteristics, daily operational data, and energy use data were collected by carrying out a survey of 24 hotels. The average annual energy use intensity (EUI) of four-, three-, two-, and one-star rated hotels was 180.8 kWh/m 2 , 113.3 kWh/m 2 , 74.2 kWh/m 2 , and 70.2 kWh/m 2 , respectively. Electricity, as the dominant energy source, accounted for 81% of total energy consumption and was used in the operation of air conditioning, lighting, heating, etc. Pearson correlations between EUI showed that hotel star rating, number of guest rooms, room revenue, and number of workers gave a reasonably strong correlation. A regression-based benchmarking model was established to predict EUI, and a standardization process of EUI was illustrated by statistical analysis.

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Analysis and benchmarking of greenhouse gas emissions of luxury hotels

Cited by 47 publications

References 27 publications

Tourism Carbon Kuznets-Curve Hypothesis: A Systematic Literature Review and a Paradigm Shift to a Corporation-Performance Perspective

Tourism Carbon Kuznets-Curve Hypothesis: A Systematic Literature Review and a Paradigm Shift to a Corporation-Performance Perspective

Hotel performance and research streams: a network cluster analysis

Energy Performance of Hotel Buildings in Lijiang, China

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