Causation between energy consumption and climate change in the countries with the highest global climate risk

Çütçü, İbrahim; Keser, Ahmet; Eren, Mehmet Vahit

doi:10.1007/s11356-022-23181-8

Cited by 11 publications

(2 citation statements)

References 36 publications

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“…The contribution of carbon dioxide emissions from each sector varies based on its unique dynamics. Unfortunately, many studies rely on country-specific or total carbon dioxide emissions data instead of sector-specific information (Karış 2017 ; Anwar et al 2022 ; Tandoğan and Genç 2019 ; Jahanger et al, 2023a ; Chishti et al, 2023b ; Cutcu et al 2023 ; Yurtkuran and Terzi 2018 ). Nonetheless, conducting sector-based research facilitates identifying industry-specific issues that require policymakers’ attention (Guo et al 2018 ; Alataş 2022 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Is the environmental Kuznets curve valid for transport sector in Pakistan? New evidence for non-renewable energy and urbanization using the QARDL approach

Koçak

Banday

Awan

2023

Environ Sci Pollut Res

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The transportation industry is a significant contributor to greenhouse gas emissions, particularly carbon dioxide. This study broadens the literature on environmental Kuznets curve (EKC) by assessing Pakistan’s carbon dioxide emissions in the transport sector taking into account the impact of non-renewable energy, urbanization, and economic growth for the period of 1995–2018 using the novel QARDL model. Moreover, the outcomes of the study make a momentous benefaction to the literature by focusing a sector that contributes substantially to pollution in Pakistan. Specifically, the study finds that the EKC curve is confirmed for Pakistan’s transportation sector in moderate to higher quantiles. Urbanization and non-renewable energy are also two other vital ingredients that dramatically aggravate the destruction of the environment. Except for the lowest (0.05th–10th) and highest (90th–95th) quantiles, urbanization affects transport-based carbon pollution positively. The study concludes by proposing some policy interventions for Pakistan.

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Section: Literature Reviewmentioning

confidence: 99%

Is the environmental Kuznets curve valid for transport sector in Pakistan? New evidence for non-renewable energy and urbanization using the QARDL approach

Koçak

Banday

Awan

2023

Environ Sci Pollut Res

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“…In particular, the Northwest arid zone is a key area of ecological fragility. For nearly 20 years, China's climate risk has been among the top 30 countries in the world, with nearly 200 other countries and regions in a high-risk position (Cutcu et al, 2022). Climate change profoundly impacts on China's ecosystem, interfering with ecosystem succession, affecting ecosystem structure and phenology, and posing a severe threat to national ecological security (Wu, Luo, et al, 2022;Wu, Wang, & Shan, 2022).…”

Section: Introductionmentioning

confidence: 99%

Spatio‐Temporal Variations of Habitat Quality Under 8 SSP‐RCP Scenarios in China

Feng,

Zhai,

Song

et al. 2024

JGR Biogeosciences

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Habitat quality is a key expression of ecosystem ability and the basis for effective species conservation and regional ecological environment improvement. However, most studies have focused on assessing habitat quality over historical periods, ignoring the influence of coupled future development paths and climate change. The present study addresses this issue by developing a spatial‐temporal variation analysis framework for assessing habitat quality in China, which integrates the Integrated Valuation of Ecosystem Services and Trade‐offs (InVEST) model with eight Earth system coupled scenarios (SSP‐RCP). The results showed that from 2020 to 2100, and under five scenarios (SSP2‐4.5, SSP3‐7.0, SSP4‐6.0, SSP5‐3.4, and SSP5‐8.5), habitat quality was generally stable and high, while under three scenarios (SSP1‐1.9, SSP1‐2.6, and SSP4‐3.4), it decreased. The SSP2‐4.5 scenario was significantly better than the SSP4‐3.4 scenario. In all scenarios, the influences of different development patterns on China's ecologically fragile areas were obvious and serious. In 2030 and 2060, the spatial distribution patterns of habitat degradation and habitat quality had similar characteristics. High habitat degradation values were mostly distributed east of the Heihe‐Tengchong Line, while low values were mainly distributed in the arid zone. The mean habitat degradation ranged between 0.0226 and 0.0302, and the degradation degree was relatively light. The habitat quality index mean was 0.5120–0.5376, indicating that the overall habitat quality was at the medium level. This study provides a potential ecological protection baseline for China based on habitat protection and provides an important reference for China's sustainable development.

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The relationship among urbanization, economic growth, renewable energy consumption, and environmental degradation: A comparative view of European and Asian emerging economies

Nuţă,

Sharafat,

Abban

et al. 2024

Gondwana Research

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Causation between energy consumption and climate change in the countries with the highest global climate risk

Cited by 11 publications

References 36 publications

Is the environmental Kuznets curve valid for transport sector in Pakistan? New evidence for non-renewable energy and urbanization using the QARDL approach

Is the environmental Kuznets curve valid for transport sector in Pakistan? New evidence for non-renewable energy and urbanization using the QARDL approach

Spatio‐Temporal Variations of Habitat Quality Under 8 SSP‐RCP Scenarios in China

The relationship among urbanization, economic growth, renewable energy consumption, and environmental degradation: A comparative view of European and Asian emerging economies

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