Modeling the Dynamic Linkage between Tourism Development, Technological Innovation, Urbanization and Environmental Quality: Provincial Data Analysis of China

Cheng-hu, Zhang; Arif, Muhammad; Shehzad, Khurram; Ahmad, Mahmood; Oláh, Judit

doi:10.3390/ijerph18168456

Cited by 27 publications

(12 citation statements)

References 64 publications

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“…Facing a post-COVID-19 era, tourism, which contributes over 10% to global economic growth [ 1 ], may play a significant role in economic recovery. However, over the past several years, the tourism industry has seen an increase in the consumption of natural resources and energy [ 2 ] as well as significant increases in carbon emissions and the disposal of other types of waste [ 3 ]. Because the tourism industry has an extremely complex input–output relationship and involves a large number of intermediate input sectors on its supply chain [ 4 ], some scholars have begun to use the input–output method to evaluate carbon emissions in the supply chain of tourism [ 5 , 6 ]; furthermore, scholars have found that global carbon emissions, including indirect emissions from the supply chain, are four times higher than the direct carbon emissions of tourism [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Xia

Dong

et al. 2022

IJERPH

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Eco-efficiency analysis can provide useful information about sustainability in the tourism industry, which has an important role in both global economy recovery and Sustainable Development Goals (SDGs), generating considerable indirect carbon emissions with respect to the supply chain due to its significant connections to other industries. This study, from the perspective of tourism sectors, including tourism hotels, travel agencies, and scenic spots, integrated the environmentally extended input–output analysis (EEIO) and data envelopment analysis (DEA) models to develop a research framework, analyzing the indirect carbon emissions of the tourism supply chain, evaluating eco-efficiency with respect to both direct carbon emissions and total carbon emissions (including direct and indirect parts), and exploring the driving factors of eco-efficiency of tourism sectors using Tobit regression models. This study took Gansu as a case, a province in China characterized by higher carbon intensity, an underdeveloped economy, and rapid tourism growth. The results demonstrate that (1) tourism hotels contribute the most carbon emissions in tourism sectors, especially indirectly due to the supply chain, with carbon emissions mainly resulting from the manufacturing of food and tobacco; (2) the eco-efficiency of tourism sectors in Gansu presents a U-shaped curve, which is consistent with Kuznets’ theory; and (3) energy technology is key to improving the eco-efficiency of tourism sectors. The research results provide a clear path for the reduction of carbon emissions and the improvement of eco-efficiency in Gansu tourism sectors. Against the backdrop of global climate change and the post-COVID-19 era, our research framework and findings provide a reference for similar regions and countries who are in urgent need of rapid tourism development to effect economic recovery.

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Section: Introductionmentioning

confidence: 99%

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Xia

Dong

et al. 2022

IJERPH

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“…The causative based test advocated a bidirectional connectedness from transportation, tourism development, economic growth, and energy consumption in the direction of CO 2 emissions (environmental quality), except value added hotel and catering services has unidirectional bonds with environmental quality. Furthermore, short-run pairwise causality based tests finalized that a surge in forecasting regressors with forecasted variables, forecasted to forecasting variables, portray a confirmation of feedback hypothesis at a strong significance level, in agreement with [40,45,[68][69][70][71][72][73][74][75][76]. The landscape of retrieved estimates conferred a few guidelines, for BRI, to the Chinese government at the provincial level for initiating renewable based energy projects (solar based, wind based and biomass based projects), which may focus on declining the usage of fossil fuels based energy in industry, transportation, and in the hotel industry.…”

Section: Empirical Results and Discussionmentioning

confidence: 67%

Do Tourism Development, Energy Consumption and Transportation Demolish Sustainable Environments? Evidence from Chinese Provinces

et al. 2021

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China is performing a dominant role in the world’s economic growth, but it has mainly been the commencement of the Belt and Road Initiative (BRI) that has significantly increased its importance around the world. Recently, the emergence of the tourism industry has been considered as an alternative for sustainable economic and ecological development, which is ironic. Although China is promoting tourism in various regions under “The New Normal” phase, it needs to proactively address the challenges of dismantling, for the environment. The fundamental objective of the current study is to determine the long-term affiliation between tourism development, economic progress, transportation, energy consumption, value added hotel catering services, and environmental degradation (CO2) for a panel of thirty (30) provinces of China over the period of 1995–2017. Primarily, we applied the CD test for investigating cross dependence; subsequently, conventional and CD based panel unit root tests (CIPS) were carried out to deal with the puzzle of the stationarity of the panel series. The results of the dynamics panel, DOLS, FMOLS, and PMG, indicated that transportation, energy consumption, and value added hotel and catering services have a strong positive association with carbon emission, but tourism development has mixed links with ecological degradation. Additionally, the causative based test revealed the bidirectional association of tourism development, transportation, economic progress, and energy consumption with environmental quality. The retrieved estimates conferred a few guidelines, concerning the presence of BRI projects, for the Chinese administration at the provincial and national level: initiating the renewable based energy projects and possibly wishing to decrease the use of fossil fuel based energy in the industry, transportation, and hotels and catering sectors. Furthermore, the prevalence of green investment in provinces may motivate economic progress and tourism development, without worsening the atmosphere.

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“…Similarly, Shen, et al [ 41 ] see technological innovation as an external driver for achieving high quality development in tourism and urbanization. In a previous study, Chenghu, et al [ 42 ] argued that a large increase in tourists would degrade the environment and be detrimental to the coordination between tourism development, technological innovation, urbanization, and environmental quality; however, this paper holds that the increase in the number of tourists represents the improvement of the development of tourism, providing more employment opportunities for local residents, promoting the local economy, and is conducive to the harmonious development of tourism, urbanization, technology and ecological environment.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Characteristics and Influencing Factors of Tourism–Urbanization–Technology–Ecological Environment on the Yunnan–Guizhou–Sichuan Region: An Uncoordinated Coupling Perspective

Yang

Gong

Luo

et al. 2022

IJERPH

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The tourism, urbanization, technology, and the ecological environment both promote and restrict each other. Coordinating the relationship between the four is of great significance to the realization of high-quality sustainable regional development. Taking the Yunnan–Guizhou–Sichuan region as an example, this paper constructs an uncoordinated coupling model for the tourism–urbanization–technology–ecological environment system. Using exploratory spatial analysis and geographic information systems, this paper reveals the temporal and spatial evolution law affecting the uncoordinated coupling relationship between tourism, urbanization, technology and the ecological environment in the Yunnan–Guizhou–Sichuan region from 2010 to 2020, before establishing a panel Tobit model that is used to explore the factors affecting the four systems. The research shows the following: (1) The level of comprehensive development for tourism, urbanization, technology, and the ecological environment in Yunnan, Guizhou, and Sichuan has increased rapidly. Of all these, the tourism industry was the most affected by COVID-19 in 2020, while the level of urbanization, technology, and ecological environment developments in the three provinces has become similar over time. (2) Uncoordinated development between cities is a prominent problem; while the uncoordinated coupling spatial agglomeration in various regions is relatively stable, the proportion of cities with no significant agglomeration form amounts to more than 70%, with mostly low–low (L–L) and high–high (H–H) agglomeration types. (3) The degree to which uncoordinated coupling exists among the four systems in the Yunnan–Guizhou–Sichuan region is affected by many factors. Only eco-environmental pressure has a significant positive correlation with the degree of uncoordinated coupling, while the tourism scale, economic urbanization, eco-environmental response, and investment in technology have a significant negative correlation. These results provide a theoretical basis and practical references for strengthening the government’s macro-control and promoting collaborative regional development.

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Modeling the Dynamic Linkage between Tourism Development, Technological Innovation, Urbanization and Environmental Quality: Provincial Data Analysis of China

Cited by 27 publications

References 64 publications

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach

Do Tourism Development, Energy Consumption and Transportation Demolish Sustainable Environments? Evidence from Chinese Provinces

Spatiotemporal Characteristics and Influencing Factors of Tourism–Urbanization–Technology–Ecological Environment on the Yunnan–Guizhou–Sichuan Region: An Uncoordinated Coupling Perspective

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