The criticality of tourism development, economic complexity, and country security on ecological footprint

Chen, Mei‐Ping; Wu, Wenmin

doi:10.1007/s11356-022-18499-2

Cited by 41 publications

(21 citation statements)

References 123 publications

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“…Tourism activities are an integrated system project that combines natural resources, economy and society, so tourism eco-security is measured by an evaluation system that covers multiple dimensions, levels, and systems [ 31 ]. Therefore, tourism eco-security should be scientifically evaluated for natural ecosystems and the interaction between human activities, economic activities, social development, and tourist destinations.…”

Section: Methodsmentioning

confidence: 99%

Study on the Spatial–Temporal Pattern and Driving Mechanism of Tourism Eco-Security in the Yellow River Basin

Zhao

Wang

2023

IJERPH

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Tourism eco-security evaluation is an effective tool for facilitating the coordinated and sustainable economic and environmental development of tourist destinations. Based on system theory, this study established a comprehensive evaluation index system for the DPSIR model, applying the entropy–TOPSIS method, spatial autocorrelation, spatial econometric model and geo-detector to investigate the spatial and temporal evolution and drivers of tourism eco-security of the Yellow River basin. The results showed that the tourism eco-security of the Yellow River basin steadily and significantly increased from 2003 to 2020, reaching a peak in 2019, while there was a low level of overall tourism eco-security and improvement possibility. The results show a spatial evolution pattern of expansion from provincial capital cities to nearby prefecture-level cities from the middle and lower reaches to the middle and upper reaches, with significant spatial clustering and spillover effects. Factors affecting the tourism eco-security of the Yellow River basin vary in and between regional basins. Because there are many influencing factors, the key factors were further identified by spatial effect decomposition. The results of this study have important theoretical and practical value in promoting the coordinated and sustainable development of the tourism economy and ecological environment in the Yellow River basin.

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Section: Methodsmentioning

confidence: 99%

Study on the Spatial–Temporal Pattern and Driving Mechanism of Tourism Eco-Security in the Yellow River Basin

Zhao

Wang

2023

IJERPH

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“…Both studies were done between 1990 and 2011, the most recent being in 2011. Similarly, Lee et al (2022) investigated the impact of financial development on environmental quality in the income groups over the period of 1990-2017. They employed the AMG estimator and found the significant role of financial development in environmental reduction only for high-income economies.…”

Section: Financial Development and Environmental Qualitymentioning

confidence: 99%

“…Their results demonstrate that the impact of renewable energy on CO 2 emissions decrease is significantly more significant than the impact of atomic energy. Lee et al (2022) also tried to investigate the role of renewable energy consumption in different income group. They found the negative relationship between the RE and carbon emissions only for higher and upper middle income countries.…”

Section: Renewable Energy and Environmental Qualitymentioning

confidence: 99%

Does financial development and renewable energy consumption impact on environmental quality: A new look at China’s economy

Wang

Xiang

et al. 2022

Front. Psychol.

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Environmental problems such as climate change have brought to light the necessity of implementing more stringent environmental regulations and expanding the use of renewable energy sources in order to protect the environment and maintain a green ecosystem. As a result, this study aims to investigate the impact of China’s financial development and consumption of renewable energy on the country’s environmental quality from 2009 to 2019. Following the application of the ARDL method, this research begins by employing the NARDL (non-linear autoregressive distributive lag) model in order to analyze the asymmetry in the data that results from the presence of either positive or negative aspects of financial development. The results of the NARDL bound test indicate that the variables are long-term co-integrated. This enables the application of the ARDL methodology. The ARDL bound test findings show a positive relationship that exists over the long-term between financial development, trade openness, renewable energy consumption, economic growth, and CO2 emissions. In addition, the error correction model (ECM) provides evidence that there is, at least in the short run, a connection between CO2 emissions, financial development, economic growth, and energy consumption. Furthermore, according to a dynamic multiplier graph, the positive aspect of financial development has a greater influence on carbon emissions for a longer time than the shocks associated with a less favorable financial development. According to the findings, there does not appear to be any asymmetry between CO2 emissions and financial development, which supports the idea that both the positive and negative aspects of financial development have an equally significant impact.

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“…Many nations rely on tourism as a primary source for generating revenues, employment, private sector growth, and infrastructure development (World Tourism Organization 1997 ). Studies have shown that its development could also trigger overall economic growth (Lee and Chen 2022 ; Lee et al 2022 ), thus spurring many studies related to tourism topics in order to see what factors relate to economic growth, environment, culture, or society. In this paper, we focus on the topic of air quality and tourism in a cross-country framework.…”

Section: Introductionmentioning

confidence: 99%

The impact of air quality on international tourism arrivals: a global panel data analysis

2022

Environ Sci Pollut Res

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Using data from World Development Indicators (WDI), this research constructs panel data of 99 countries from 1996 to 2018 and employs a spatial econometric model to analyze the impact of air quality on international tourism arrivals. Evidence shows that Moran’s I values are significantly positive, indicating a strong positive spatial dependence in each country and that poor air quality does have a negative impact on the number of tourist arrivals. The results of grouped data illustrate that middle-income countries, low-income countries, high concentrations of PM 2.5 , and countries with less numbers of tourists have negative effects on tourist arrivals in neighboring countries. The contrary groups, however, have positive effects on tourist arrivals – that is, the influence of air quality on the number of tourist arrivals exhibits heterogeneity. In addition, tests of the interaction term show that countries with higher R&D intensity have better air quality and thus attract more tourists. Therefore, countries with poor air quality should improve the environment through international cooperation and undertake technology transfer, thus ultimately increasing the number of tourists.

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The criticality of tourism development, economic complexity, and country security on ecological footprint

Cited by 41 publications

References 123 publications

Study on the Spatial–Temporal Pattern and Driving Mechanism of Tourism Eco-Security in the Yellow River Basin

Study on the Spatial–Temporal Pattern and Driving Mechanism of Tourism Eco-Security in the Yellow River Basin

Does financial development and renewable energy consumption impact on environmental quality: A new look at China’s economy

The impact of air quality on international tourism arrivals: a global panel data analysis

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