Natural resources, tourism development, and energy-growth-CO2 emission nexus: A simultaneity modeling analysis of BRI countries

Khan, Anwar; Chenggang, Yang; Hussain, Jamal; Bano, Sadia; Nawaz, Aamir

doi:10.1016/j.resourpol.2020.101751

Cited by 230 publications

(82 citation statements)

References 84 publications

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“…Secondly, the relationship between levels of economic and financial development specific to environmental pollution (mainly refers to CO2 emissions) is widely known as the Environmental Kuznets Curve (EKC), which indicates a non-linear inverted U-shape association. Khan et al [27] and Auci and Trovato [28] empirically examined whether EKC holds for specific regions and periods, indicating that it does not hold for all datasets. Specifically, EKC holds for BRICS economies and BRI countries, but not for EU countries.…”

Section: Literature On Other Factors Influencing Co2 Emissionsmentioning

confidence: 99%

Trade Openness and CO2 Emissions: The Heterogeneous and Mediating Effects for the Belt and Road Countries

2021

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To investigate whether increasing trade openness results in more severe environmental problems, this study investigates the impact of trade openness on carbon dioxide (CO2) emissions using panel data from 64 countries along the Belt and Road from 2001–2019. Fully considering the potential heterogeneity, the panel quantile regression approach is utilized. Moreover, this study explores the three major mediating effects of the process, namely the energy-substitution effect, economic effect, and technology effect. The empirical results indicate that the improvement in trade openness has a significantly positive effect on CO2 emissions, and it also shows that the impact varies with different levels of CO2 emissions. Furthermore, the indirect effect of trade openness on CO2 emissions via the economic effect is positive, while the indirect effect via the energy-substitution and the technology effect is negative. Therefore, it is necessary to improve renewable energy consumption, decrease energy intensity, and formulate related policies to reduce carbon emissions policies in terms of local conditions.

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Section: Literature On Other Factors Influencing Co2 Emissionsmentioning

confidence: 99%

Trade Openness and CO2 Emissions: The Heterogeneous and Mediating Effects for the Belt and Road Countries

2021

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“…In recent years, tourism and environmental research have offered rich achievements, however, produced contradictory and inconclusive evidence. One strand of literature claimed an increasing relationship between CO 2 and TOR due to higher energy and fuel consumption in tourism‐related activities such as transportation and hoteling (Khan, Chenggang, Hussain, Bano, & Nawaz, 2020; Tang, Bai, Shi, et al, 2018). The second strand of the literature exhibited an emission‐reduction effect of tourism development based on the principle of green energy investment, sustainable infrastructure, and ecological conservation in tourist destinations (Dogan & Aslan, 2017; Imran, Alam, & Beaumont, 2014; Jebli & Hadhri, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach

Razzaq

Sharif

Ahmad

et al. 2020

Sustainable Development

188

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This study examines the association between tourism development, technology innovation, and carbon emissions by simultaneously testing Environment Kuznets Curve (EKC) hypothesis in China. The study develops and uses a novel composite index of tourism development and technology innovation. Utilizing quarterly data from 1995Q1 to 2017Q4, the study employs QARDL (Quantile Autoregressive Distributive Lag) approach and Granger causality‐in‐quantiles. The outcome of the study reveals that the observed relationship is quantile‐dependent, which may disclose misleading results in previous studies using traditional linear methodologies (such as OLS/ARDL) that address the averages. Primarily, the findings indicate that tourism development (TOR) and technology innovation (TII) significantly mitigate the level of carbon dioxide emissions (CO2) in the long run at lower‐higher (0.05–0.95) emissions quantiles and higher‐highest (0.7–0.95) emissions quantiles, respectively. Economic growth (GDP) and globalization (GLO) exert a positive asymmetric influence on CO2 only at lower‐medium (0.05–0.40) emissions quantiles and medium‐higher emissions quantiles (0.50–0.95), respectively. In the short run, TII, and GDP2 possess an insignificant impact across all emissions levels, while TOR shows a positive influence on CO2 only at lowest‐lower (0.05–0.20) emissions quantiles. The study confirms the presence of the EKC hypothesis at lower‐higher (0.05–0.70) emissions quantiles in the long run. Moreover, the outcomes of Granger causality in quantiles confirm asymmetric bidirectional quantile causality between TOR, TII, GLO, and CO2, while a unidirectional causality running from GDP to CO2. The results recommend that the Chinese government should implement integrated “tourism‐technology” policies based on the asymmetric emissions‐reduction effects of tourism and technology innovation in the long run.

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“…The investigation also found another relationship, where tourism and economic growth have a one-way causal interaction in Cyprus. Khan et al [48] supported the unidirectional causality of tourism, while bidirectional causality can be measured through the Croux-Roesens causality test. Results showed that tourism is the key determinant to increase CO 2 emissions and economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Cheng-hu

Arif

Shehzad

et al. 2021

IJERPH

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This study investigates the linkage between tourism development, technological innovation, urbanization and environmental degradation across 30 provinces of China. Based on data from 2001 to 2018, the study used an advanced economic methodology for the long-run estimate, the Augmented Mean Group (AMG) estimator, which accounts for heterogeneity in slope parameters and dependencies across countries. The empirical results show that tourism development degrades environmental quality, while technological innovation mitigates carbon emissions. Further, findings show that urbanization increases carbon emissions, while an inverted U-shaped relationship exists between economic growth and environmental degradation, implying the existence of EKC in China. Further, the Dumitrescu–Hurlin panel causality test shows that any policy aimed at tourism development or technological innovation would substantially contribute to environmental degradation, but not the other way round.

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Natural resources, tourism development, and energy-growth-CO2 emission nexus: A simultaneity modeling analysis of BRI countries

Cited by 230 publications

References 84 publications

Trade Openness and CO2 Emissions: The Heterogeneous and Mediating Effects for the Belt and Road Countries

Trade Openness and CO2 Emissions: The Heterogeneous and Mediating Effects for the Belt and Road Countries

Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach

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

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