Empowering sustainability practices through energy transition for sustainable development goal 7: The role of energy patents and natural resources among European Union economies through advanced panel

Chen, Jie; Huang, Shoujun; Kamran, Hafiz Waqas

doi:10.1016/j.enpol.2023.113499

Cited by 53 publications

(15 citation statements)

References 58 publications

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“…Our findings further enhance the standing literature on the presence of a time-varying movement between the variables (e.g. Kurniawan and Managi, 2018;Nathaniel and Khan, 2020;Destek and Sinha, 2020;Ahmed et al, 2022;Ansari, 2022;Salman et al, 2022;Chen et al, 2023). The conclusions have meanings for policymakers respecting environmental Factors influencing the ecological footprint…”

Section: Conclusion and Policy Implicationssupporting

confidence: 79%

“…Additionally, as an economy progresses through different stages of growth, the relationships between energy, economic activity and other contributing factors undergo significant transformations (Toman and Jemelkova, 2003; Chontanawat et al. , 2008; Marrero, 2010; Chen et al. , 2023).…”

Section: Data Model Specification and Empirical Methodologymentioning

confidence: 99%

“…However, reducing energy consumption to mitigate environmental damage could potentially have adverse effects on economic growth. Additionally, as an economy progresses through different stages of growth, the relationships between energy, economic activity and other contributing factors undergo significant transformations (Toman and Jemelkova, 2003;Chontanawat et al, 2008;Marrero, 2010;Chen et al, 2023).…”

Section: Factors Influencing the Ecological Footprintmentioning

confidence: 99%

“…Education, as a form of human capital, has the potential to influence individual behaviours by encouraging the adoption of renewable energy sources (Chankrajang and Muttarak, 2017) and promoting energy efficiency (Bano et al, 2018). Additionally, education can contribute to reducing deforestation (Godoy et al, 1998;Chen et al, 2023).…”

Section: Factors Influencing the Ecological Footprintmentioning

confidence: 99%

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On the factors influencing the ecological footprint: using an asymmetric quantile regression approach

Alqaralleh

2023

MEQ

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PurposeIn the new global economy, environmental degradation is still among the crucial struggles braving policymakers. The intention of the current analysis, therefore, is to investigate the asymmetric impact of energy use, trade openness, population changes and urbanization, on the ecological footprint (EF) in four ASEAN countries by using time span data extending from 1972 to 2018.Design/methodology/approachThe stationarity of the variables was first demonstrated by using a quantile autoregression unit root test. Then the cointegration relationship among quantiles was verified. In the third step, this study investigated the pattern of causality in quantiles which allowed them to model any locational asymmetry in such a relationship. In the final part of the paper, the asymmetric quantile approaches the methods adopted to address the ways in which the considered variables impacted on the EF.FindingsThe outcomes demonstrated that the estimated coefficient of the variables was generally found significant and in line with the expected impact sign. Likewise, locational asymmetry was detected from the fact that the considered variables at the upper tails did not operate in the same way as those in the lower ones. In this case, the results suggest that a rise in energy consumption, as well as a negative shock to economic growth and/or trade openness, all diminish environmental quality. In contrast, promoting economic growth, a positive shock to trade openness, and human capital reduce environmental degradation.Originality/valueAs far as is known, the current study among the early attempt to explore the asymmetric impact of trade openness, energy use, population changes and urbanization, on the EF in the ASEAN countries.

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Section: Conclusion and Policy Implicationssupporting

confidence: 79%

Section: Data Model Specification and Empirical Methodologymentioning

confidence: 99%

Section: Factors Influencing the Ecological Footprintmentioning

confidence: 99%

Section: Factors Influencing the Ecological Footprintmentioning

confidence: 99%

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On the factors influencing the ecological footprint: using an asymmetric quantile regression approach

Alqaralleh

2023

MEQ

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“…In the modern era, the high utilization of natural resources and its repercussions, such as global warming, pollution, and climate change, are serious threats to environmental health (Chen et al, 2023; Li et al, 2021). Rapid population increase, the demand for food and energy, and its security are gaining traction in global concern (Guo, 2022; Niccolucci et al, 2009; Sarkodie, 2021).…”

Section: Introductionmentioning

confidence: 99%

Assessment of environmental footprint using geospatial approach to ascertain the Sustainable Development Goal 2030s of India

Sharma,

Aarav,

Sharma

et al. 2023

Natural Resources Forum

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Utilization of natural resources has multiplied globally, resulting in serious environmental deterioration and impeding the achievement of the Sustainable Development Goals (SDGs). For the harmonious development of human nourishment and the balance of nature, it is vital to evaluate environmental segments' resource usage, transformation, and residue, referred to as ‘footprint,’ in order to highlight carrying capacity and sustainability. This analysis highlights the Environmental Footprint (EF) of India per state from 2010 to 2020 in terms of hectares per capita. This study evaluates India's biological, hydrological, energy, ecological, and pollution footprints, carrying capacity, environmental pressure, and environmental deficit using 17 distinct parameters categorized under the themes of biological resource, hydrological resource, energy resource, and pollution concentration. We proposed a reoriented methodology and EF concepts that determine India's footprint, carrying capacity, nature of sustainability, environmental pressure index, and its consequential links to the 2030 SDGs. As a result, the biological resources contributed to ~50% of the environmental footprint, while hydrological, energy, and pollutants made up the remaining. Between 2010 and 2020, Delhi, Uttar Pradesh, Bihar, and West Bengal had the highest EF, while Jammu and Kashmir and the north‐eastern provinces had the lowest. During the research period, the ecological deficit in India has increased overall. India impedes the 2030 SDGs; therefore, the study provides a picture of resource consumption, waste generation, economic growth, and societal changes, enabling academics and policymakers to redefine or document policy for a more sustainable future.

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RETRACTED ARTICLE: Sustainable and market-oriented solutions for the electricity sales market reform

Li,

2024

Econ Change Restruct

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Empowering sustainability practices through energy transition for sustainable development goal 7: The role of energy patents and natural resources among European Union economies through advanced panel

Cited by 53 publications

References 58 publications

On the factors influencing the ecological footprint: using an asymmetric quantile regression approach

On the factors influencing the ecological footprint: using an asymmetric quantile regression approach

Assessment of environmental footprint using geospatial approach to ascertain the Sustainable Development Goal 2030s of India

RETRACTED ARTICLE: Sustainable and market-oriented solutions for the electricity sales market reform

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