Decomposition of tourism greenhouse gas emissions: Revealing the dynamics between tourism economic growth, technological efficiency, and carbon emissions

Sun, Yung-Nien

doi:10.1016/j.tourman.2016.02.014

Cited by 127 publications

(81 citation statements)

References 39 publications

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“…In contrast, technical change had a significantly negative effect, reflecting that technical progress can effectively inhibit the growth of tourism CO 2 emissions. The result is in line with the findings of Robaina‐Alves et al () and Sun (), who noted that technical progress can reduce tourism CO 2 emissions. On average, technical change can reduce tourism CO 2 emissions by 13.57% per year, which was the most important factor for restraining CO 2 emissions growth compared with the other six components.…”

Section: Resultssupporting

confidence: 92%

“…The proposed method is applied to examine the sources of changes in tourism CO 2 emissions, and the main findings and implications show the following: The scale effect was found to be the dominant factor driving tourism CO 2 emissions growth, indicating that mainly the scale expansion of tourism economic outputs is responsible for the sharp rise of tourism CO 2 emissions. This result echoes the findings of Tang et al () and Sun (). Over the last few decades, China's tourism industry has experienced significant growth in tourist arrivals and economic outputs, which dramatically increased the use of tourism transportation, accommodation, catering, and other service facilities, resulting in soaring energy consumption and CO 2 emissions.…”

Section: Discussionsupporting

confidence: 92%

See 1 more Smart Citation

Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China

Zha

Tan

Yuan

et al. 2019

Sustainable Development

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The tourism industry is a nonnegligible contributor to global CO2 emissions, and formulating policy around emission reduction for sustainable tourism requires understanding the drivers contributing to the growth of tourism CO2 emissions. This paper develops an alternative decomposition technique that uses data envelopment analysis (DEA) and distance functions to examine the sources of change in tourism CO2 emissions; this method offers advantages in measuring the contribution of factor inputs to CO2 emissions change and has flexible data requirements. An empirical application using provincial panel data from China's tourism industry during the 2005–2016 period is performed. The results indicate the following: The scale effect induced by economic growth in tourism was the largest factor driving CO2 emissions growth; technical change played a dominant role in reducing CO2 emissions, and technical efficiency change exerted a negligible positive effect on the CO2 emissions increment; the emissions indices associated with labour, capital, and attractive resources generated significant promoting effects on CO2 emissions growth; and the emissions index associated with energy had a minor inhibitory effect. In addition, the drivers of tourism CO2 emissions clearly varied by region and province, and three driving modes of change in provincial CO2 emissions were summarized. This study extends the application of decomposition techniques in the field of tourism studies, and our results provide valuable insights for policymakers and business entities aiming to adopt measures to curb tourism CO2 emissions and promote sustainable tourism.

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Section: Resultssupporting

confidence: 92%

Section: Discussionsupporting

confidence: 92%

Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China

Zha

Tan

Yuan

et al. 2019

Sustainable Development

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“…The top-down method is mainly based on the use of national tourism satellite accounts [24,25], or is based on national economic accounting and uses the input-output model to estimate the energy consumption and carbon emissions of the tourism industry [26,27]. The bottom-up method divides the tourism industry into the three categories of tourism transportation, accommodation, and tourism activities, and the energy consumption and carbon emissions of the tourism industry are estimated based on tourists' consumption of these three categories [28,29].…”

Section: "Bottom Up" Methodsmentioning

confidence: 99%

Study on Measurement of Green Productivity of Tourism in the Yangtze River Economic Zone, China

et al. 2018

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This paper introduces energy consumption and carbon emission into the analysis framework of the green productivity of tourism. By comparing and analyzing the two main methods used to evaluate the energy consumption and carbon emission estimations of tourism, namely, the "top-down" and "bottom-up" method, and considering the availability of data, the "bottom-up" method was adopted to evaluate the energy consumption and carbon emissions of tourism in the Yangtze River Economic Zone (YREZ). Then, using the Malmquist-Luenberger (ML) index in the super-efficiency data envelopment analysis (DEA) model, the green productivity of the tourism in 11 provinces and cities in the YREZ from 2006 to 2015 was measured. The empirical results show that:(1) The energy consumption and carbon emissions of tourism in the YREZ have increased steadily over the past 10 years, which has caused a certain degree of pollution to the environment, indicating that tourism is no longer a "smoke-free industry"; (2) there are significant provincial differences between the energy consumption and carbon emissions of tourism in the YREZ, with Shanghai always ranking first, while Guizhou and Yunnan ranks last, which represents that the tourism economic development level is positively correlated with the tourism energy consumption and carbon emissions; (3) the green productivity of tourism in the YREZ shows a fluctuating increasing trend in the past 10 years, and technological progress has become the main reason for its growth in green productivity; and (4) the green productivity of tourism in 11 provinces and cities in the YREZ can be divided into three types: Progressive type of tourism green development, stagnant type of tourism green development, and declining type of tourism green development. Consequently, different types of provinces should explore effective dependency paths based on their own conditions.

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“…Against this background, TCF analysis focuses on environmental issues caused by large-scale tourism, particularly its energy consumption and CO 2 emissions (defined as the amount of CO 2-eq emissions caused directly and indirectly by tourism activity), which have been widely researched at various scales, such as analyses for the countries of New Zealand [18], Sweden [19], Australia [20], Spain [21,22], Iceland [23], and China [24][25][26]; the regions of Taiwan [27][28][29], Wales [30], and Poole [31]; and even the scenic locations of the Penghu Islands [32] and Huangshan National Park [33]. TCF analysis excels at assessing the impact of tourism greenhouse gas emissions on climate change and identifying the contribution of tourism carbon emissions to climate change at the global scale, which has become a key research field.…”

Section: Rootsmentioning

confidence: 99%

“…Few longitudinal studies have examined the tourism footprint based on different regions and time series analyses, although the analyses by Cadarso et al [22], Sharp et al [23], Sun [29] and Tang et al [47] are based on a time series. This deficit means that we cannot effectively understand the dynamic change trend in the tourism footprint and the impact of tourism activities on the environment across time dimensions.…”

Section: Performing Space-time Calculations Of the Tourism Footprintmentioning

confidence: 99%

Progress and Prospects for Tourism Footprint Research

Wang

Yi-yuan

et al. 2017

Sustainability

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Abstract:The tourism footprint family comprises the tourism ecological footprint (TEF), the tourism carbon footprint (TCF) and the tourism water footprint (TWF). The tourism footprint represents an important tool for quantitatively assessing the impact of tourism activities on the ecosystem of a tourist destination. This paper systematically reviews the relevant literature on TEF, TCF and TWF, analyses and summarizes the main progress and failures in the analytical frameworks, research methods, measurement results, environmental impacts and reductions in the tourism footprint. This paper also proposes areas for further developing the tourism footprint research, including unifying the analytical frameworks and boundaries of the tourism footprint, distinguishing the geographical scope of the tourism footprint effectively, improving the process of analyzing the environmental impact of the tourism footprint, measuring the tourism footprint scientifically and roundly, performing space-time calculations of the tourism footprint, and expanding the tourism footprint family by introducing new members. Accordingly, this paper is devoted to the continued study of the tourism footprint.

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Decomposition of tourism greenhouse gas emissions: Revealing the dynamics between tourism economic growth, technological efficiency, and carbon emissions

Cited by 127 publications

References 39 publications

Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China

Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China

Study on Measurement of Green Productivity of Tourism in the Yangtze River Economic Zone, China

Progress and Prospects for Tourism Footprint Research

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Decomposition of tourism greenhouse gas emissions: Revealing the dynamics between tourism economic growth, technological efficiency, and carbon emissions

Cited by 127 publications

References 39 publications

Decomposition analysis of tourism CO2 emissions for sustainable development: A case study of China

Decomposition analysis of tourism CO2 emissions for sustainable development: A case study of China

Study on Measurement of Green Productivity of Tourism in the Yangtze River Economic Zone, China

Progress and Prospects for Tourism Footprint Research

Contact Info

Product

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Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China

Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China