Measurement and Impactors of Tourism Carbon Dioxide Emission Efficiency in China

Jiang, Guohua; Zhu, Anding; Li, Jun

doi:10.1155/2022/9161845

Cited by 8 publications

(6 citation statements)

References 34 publications

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“…The indicator used to characterize CO 2 emissions is tourism transport CO 2 emissions. In order to calculate tourism transport CO 2 emissions, the most commonly used method is to first calculate transport CO 2 emissions, and then separate the tourism-related part according to the tourism stripping coefficient [35][36][37]. This calculation employs the formula below:…”

Section: Measuring Transport-related Co 2 Emissions In Tourismmentioning

confidence: 99%

Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

Yan,

Phucharoen

2024

Sustainability

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This study explores the intricate dynamics of CO2 emissions stemming from transport within the tourism sector. It aims to unravel the multidimensional aspects of how transport-related tourism contributes to CO2 emissions and to elucidate the complex relationship between regional economic growth and CO2 emissions from transport-related tourism. Our study employed Logarithmic Mean Divisia Index (LMDI) and Panel Vector Autoregression (PVAR) models to analyze data from 30 Chinese provincial regions between 2010 and 2018. The tourism transport-related CO2 emissions were decomposed into four separate driving effects using the LMDI approach. Then, PVAR models were constructed to reveal dynamic interactions between each driving effect and per capita gross regional product (GRP). Our results demonstrate a decrease in both energy structure effect (tourism transport-related CO2 emissions from energy structure) and energy intensity effect (tourism transport-related CO2 emissions from energy intensity) during the pre-COVID decade. Notably, the positive impulse response of energy structure effect to per capita GRP is observed. However, we found no evidence of a cointegrated relationship between energy intensity effect and regional economic growth, although other factors demonstrated connections. These findings echo the necessity to integrate sustainable practices into the tourism transportation business, especially in the area of energy structure, in order to mitigate adverse environmental effects from tourism. This paper disseminates the main drivers of CO2 emissions in the tourism transport sector and their interrelationship with regional economic growth. It not only guides tourism policymakers in targeting efforts to reduce carbon footprints, but also sets a new benchmark for future studies on CO2 emissions.

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Section: Measuring Transport-related Co 2 Emissions In Tourismmentioning

confidence: 99%

Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

Yan,

Phucharoen

2024

Sustainability

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“…Gossling et al [7] are the first to analyze the interaction between economic benefits and environmental damage in the context of tourism to calculate the carbon efficiency of tourism. The SBM model is used to calculate the carbon efficiency of China's tourism industry by including tourism carbon emissions in the non-desired output [15], and it demonstrates that the carbon efficiency of China's interprovincial tourism industry is "high in the east and low in the west" and has significant aggregation characteristics [16], which is a further improvement on the DEA model.…”

Section: Carbon Efficiency In the Tourism Sectormentioning

confidence: 99%

Spatial Spillover and Threshold Effects of High-Quality Tourism Development on Carbon Emission Efficiency of Tourism under the “Double Carbon” Target: Case Study of Jiangxi, China

Wang

Jia

2023

Sustainability

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High-quality tourism development under the “double carbon” target (the peaking of carbon emissions and achievement of carbon neutrality) is an important path to achieving low-carbon emissions in the tourism industry and is vital for improving the industry’s carbon emissions efficiency. Using spatial and temporal panel data for 11 prefecture-level cities in Jiangxi Province from 2000 to 2020, a spatial Durbin model and a threshold model were constructed to assess the spatial spillover and threshold effects that high-quality tourism development has on the carbon emission efficiency of the tourism industry. The three key results were as follows. (1) There is a non-linear relationship between the carbon emission efficiency of tourism and the high-quality development trend of tourism, with differences in spatial distribution. (2) Coordinated development, green development, and open development all have significant positive direct effects on the carbon emission efficiency of tourism. Innovation-driven and coordinated development have a positive spillover effect on the carbon emission efficiency of tourism. In contrast, green development, open development, and shared results have a negative spatial spillover effect. (3) When the scale of the tourism economy crosses the first threshold in the second stage and the structure of tourism investment crosses the second threshold in the third stage, the ability of the tourism quality development to enhance the tourism carbon emission efficiency is the largest. When the tourism investment structure and tourism carbon emission intensity cross a single threshold, the role of the tourism quality development level in enhancing the tourism carbon emission efficiency decreases. Accordingly, three types of countermeasures are proposed: solving development problems, tapping into positive spillovers, and scientifically describing the impact of thresholds. The ultimate goal of this is to provide theoretical references and innovative ideas for promoting green, low-carbon, and high-quality development of tourism in Jiangxi Province and elsewhere.

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“…In terms of the specific content of the research, it mainly includes research on the input and output effect of tourism resources. For example, Jiang (2022) took tourism's CO 2 emission efficiency as undesired output, established an index system based on the input and output of tourism's CO 2 emission efficiency, and measured the tourism CO 2 emission efficiency of Chinese provinces [17]. The application of tourism's ecological efficiency to destination management, as well as the research on energy consumption and carbon emission intensity generated in the process of tourism are also receiving attention.…”

Section: Literature Reviewmentioning

confidence: 99%

The Interaction Mechanism of Tourism Carbon Emission Efficiency and Tourism Economy High-Quality Development in the Yellow River Basin

et al. 2022

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Exploring the relationship between the tourism carbon environment and high-quality economic development in the Yellow River Basin is a national strategy to meet the realistic requirements of the goal of “Carbon Peak and Carbon Neutral”. It is also conducive to the realization of “Ecological Protection and High-quality Development Strategy in the Yellow River Basin”. Therefore, based on the calculation of tourism’s carbon emission efficiency and the evaluation of the tourism economy’s high-quality development, the interaction mechanism between them was observed. The results showed that, firstly, the tourism carbon emission efficiency of the Yellow River Basin increased slightly from 2010 to 2019, with an average of 0.9782, which was at a medium efficiency level. Secondly, the tourism economy’s high-quality development level is rising, and the speed of development is fast, especially in western provinces. Thirdly, there is a parasitic relationship between the two, but in each province, there is a positive or negative asymmetric symbiotic relationship. The tourism economy’s high-quality development has a greater impact on the efficiency of tourism’s carbon emissions. Fourthly, energy and capital input, as well as coordination and innovation factors, are important driving factors of the symbiosis between the two, among which the role of labor input was gradually revealed, and the impact factor experienced the changing process of “sharing-coordination-innovation”. This study provides a theoretical framework and evaluation methods for evaluating and analyzing the relationship between tourism’s carbon emission efficiency and the tourism economy’s high-quality development, and it provides data support and policy suggestions for the real development.

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Measurement and Impactors of Tourism Carbon Dioxide Emission Efficiency in China

Cited by 8 publications

References 34 publications

Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

Spatial Spillover and Threshold Effects of High-Quality Tourism Development on Carbon Emission Efficiency of Tourism under the “Double Carbon” Target: Case Study of Jiangxi, China

The Interaction Mechanism of Tourism Carbon Emission Efficiency and Tourism Economy High-Quality Development in the Yellow River Basin

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