Does Globalization, Tourism, Foreign Direct Investment, and Natural Resources Influencing Ecological Footprint?

Yaqoob, Tanzeela; BABI, Maria; KHALID, Rimsha

doi:10.1142/s2345748122500178

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…The ARDL method also has the added benefit of providing objective estimations of the model over the long term. In addition to these benefits, the ARDL method is also effective for limited sample sizes [100]. Furthermore, this method produces both long-and short-run coefficients, which can be utilized to infer beneficial policy outcomes.…”

Section: Ardl Modelmentioning

confidence: 99%

The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches

Zimon,

Pattak,

Voumik

et al. 2023

Energies

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This study intends to shed light on the environmental impacts of energy decisions in South Korea by analyzing the correlation between energy consumption patterns and environmental indicators such as carbon dioxide emissions. In 2021, global CO2 emissions increased by 6%—to the highest ever level of 36.3 billion tons—according to the International Energy Agency (IEA). This increase in CO2 emissions is a big problem for all countries around the world. The aim of this article is an analyze the impact of fossil fuels, renewable energy, and nuclear energy on South Korea’s environment based on the STIRPAT (stochastic impact by regression on population, affluence, and technology) model. Exploring the intricate nexus between economic and energy indicators and environmental outcomes, this study employs the STIRPAT model to analyze the influence of GDP, population dynamics, fossil fuels, renewable energy, and nuclear energy on South Korea’s environment. The yearly data from 1972 to 2021 are analyzed in this paper using an autoregressive distributed lag (ARDL) model. The reliability of this study is also examined by employing FMOLS (fully modified ordinary least squares) and CCR (canonical cointegrating regression) estimators. This study confirms the findings of previous research by showing that the rising South Korea GDP and population can lead to higher CO2 emissions and that a strategy switching to renewable energy can cut down on CO2 emissions in Korea, as it exhibits a coefficient of −0.085 *. The robustness results of FMOLS and CCR’s findings support baseline ARDL findings.

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Section: Ardl Modelmentioning

confidence: 99%

The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches

Zimon,

Pattak,

Voumik

et al. 2023

Energies

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Nonlinear analysis of tertiary industry on trade globalization-environment nexus in Yellow River Basin in China: evidence from panel smooth transition regression

Zhang,

Liu

2024

Applied Economics

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A VECM Analysis on the Impact of Agricultural Exports, Financial Openness and Trade Openness on India's Ecological Footprint

Agarwal,

2024

International Journal of Innovative Science and Research Techno

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The 21st century has witnessed a surge in concerns surrounding environmental degradation, prompting investigations into its contributing factors. This study delves into the impact of agricultural exports and financial openness on the ecological footprint of India, utilizing time series data for a comprehensive analysis. Employing unit root tests and the VECM model for cointegration analysis, the study offers compelling insights. The findings reveal a positive association between agricultural exports and a reduction in India’s ecological footprint in both the long and short run, suggesting that increased agricultural exports contribute to environmental sustainability. The study demonstrates a positive association between financial openness and the ecological footprint, indicating that increasing financial openness leads to environmental sustainability in India. These findings align with previous studies highlighting the potential trade-offs between economic growth and environmental protection. Conversely, the study identifies trade openness is negatively associated with the Ecological Footprint, increase in trade openness leads to an increase in environmental degradation. Furthermore, the study identifies economic growth as an additional factor significantly impacting India’s ecological footprint. These findings underscore the complex interplay between various economic and environmental forces. This study contributes to the ongoing dialogue on sustainable development by providing valuable empirical evidence on the specific case of Ind. The findings offer policymakers crucial insights for crafting strategies that promote economic growth while minimizing environmental harm.

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Does Globalization, Tourism, Foreign Direct Investment, and Natural Resources Influencing Ecological Footprint?

Cited by 3 publications

References 34 publications

The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches

The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches

Nonlinear analysis of tertiary industry on trade globalization-environment nexus in Yellow River Basin in China: evidence from panel smooth transition regression

A VECM Analysis on the Impact of Agricultural Exports, Financial Openness and Trade Openness on India's Ecological Footprint

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