Analyzing the N-shaped EKC among top nuclear energy generating nations: A novel dynamic common correlated effects approach

Jahanger, Atif; Hossain, Mohammad Razib; Onwe, Joshua Chukwuma; Ogwu, Stephen Obinozie; Awan, Ashar; Balsalobre‐Lorente, Daniel

doi:10.1016/j.gr.2022.12.012

Cited by 84 publications

(30 citation statements)

References 86 publications

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“…It may be taking place through different channels like increased education, health concerns, and so on. Hence, this shape agrees with the studies conducted by (Jahanger et al, 2023) for top nuclear energy‐producing nations (Aljadani et al, 2021) for the KSA and (Bekun et al, 2021), but the theoretical background varies as their studies use either EF or CO 2 emissions. Thus, this finding theoretically agrees with (Bandyopadhyay & Rej, 2021) for India and (Etokakpan et al, 2021) for China.…”

Section: Empirical Results and Discussionsupporting

confidence: 89%

“…For example, in the context of top nuclear energy-producing nations, (Jahanger et al, 2023) proved an N-shaped EKC hypothesis. A similar conclusion has been reached by (Aljadani et al, 2021) for the Kingdom of Saudi Arabia (KSA) and (Bekun et al, 2021).…”

Section: Economic Growth and Environmental Pollutionmentioning

confidence: 99%

“…However, in the subsequent stage, the load capacity may again reduce or increase as the increase in economic growth. Hence, the studies that tested the presence and absence of the N-shape relationship between environment and economic growth (Abbasi et al, 2022;Jahanger et al, 2023) used as the theoretical basis for specifying Equation (1) for testing the role of eco-friendly technology in the LCF in India.…”

Section: Energy Consumption and Environmental Degradationmentioning

confidence: 99%

“…Moreover, moving beyond the inverted U‐shape or U‐shape relationship between economic growth and environmental pollution, few studies examined the link with cubic income specification. For example, in the context of top nuclear energy‐producing nations, (Jahanger et al, 2023) proved an N‐shaped EKC hypothesis. A similar conclusion has been reached by (Aljadani et al, 2021) for the Kingdom of Saudi Arabia (KSA) and (Bekun et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, in the subsequent stage, the load capacity may again reduce or increase as the increase in economic growth. Hence, the studies that tested the presence and absence of the N‐shape relationship between environment and economic growth (Abbasi et al, 2022; Jahanger et al, 2023) used as the theoretical basis for specifying Equation (1) for testing the role of eco‐friendly technology in the LCF in India.

{LCF}_{t} = f ({EFT}_{t}, {GDP}_{t}, {GDP}_{t}^{2}, {GDP}_{t}^{3}, {EC}_{t})

where LCF, EFT, GDP, GDP 2 , GDP 3 , and EC shows the LCF, eco‐friendly technology, economic growth, square of economic growth, the cube of economic growth, and energy consumption, respectively. Further, the heterogeneity of the series is addressed by using natural logarithms.…”

Section: Theoretical Framework Data and Modeling Strategymentioning

confidence: 99%

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The nexus between eco‐friendly technology and environmental degradation in India: Does the N or inverted N‐shape load capacity curve(LCC) hypothesis hold?

Huang

Villanthenkodath

Haseeb

2023

Natural Resources Forum

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This study aims to investigate the impact of eco‐friendly technology on environmental degradation indicated using the load capacity factor (LCF) with the framework of the Load Capacity Curve (LCC) hypothesis. In this regard, an environmental degradation function is formed and analyzed using the Augmented Autoregressive Distributed Lag (AARDL) approach during the period spanning from 1975 to 2021 for India. The outcome indicates that eco‐friendly technology reduces the LCF, thereby fostering environmental degradation in the long run, but the relationship is not significant in the short run. Further, an N‐shaped LCC hypothesis has been observed in both long and short runs. Besides, energy consumption exhibits a LCF reducing or environmental degradation boosting role in the short run and long run. These findings are consistent with other models that are used to check the robustness of AARDL‐based results. Thus, the study recommends policies for promoting eco‐friendly technology, judicious economic growth, and cautious energy consumption to attain sustainable development by increasing the LCF in India.

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Section: Empirical Results and Discussionsupporting

confidence: 89%

Section: Economic Growth and Environmental Pollutionmentioning

confidence: 99%

Section: Energy Consumption and Environmental Degradationmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

“…However, in the subsequent stage, the load capacity may again reduce or increase as the increase in economic growth. Hence, the studies that tested the presence and absence of the N‐shape relationship between environment and economic growth (Abbasi et al, 2022; Jahanger et al, 2023) used as the theoretical basis for specifying Equation (1) for testing the role of eco‐friendly technology in the LCF in India.

{LCF}_{t} = f ({EFT}_{t}, {GDP}_{t}, {GDP}_{t}^{2}, {GDP}_{t}^{3}, {EC}_{t})

Section: Theoretical Framework Data and Modeling Strategymentioning

confidence: 99%

See 3 more Smart Citations

The nexus between eco‐friendly technology and environmental degradation in India: Does the N or inverted N‐shape load capacity curve(LCC) hypothesis hold?

Huang

Villanthenkodath

Haseeb

2023

Natural Resources Forum

View full text Add to dashboard Cite

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Evaluation and optimization of business environment based on sustainable development perspective: Exploring the role of the reform of government functions

Yin

Yuan

Zhou

2023

Sustainable Development

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The existing research on the business environment index system has a single viewpoint, which can hardly reflect the requirements of SDGs on the business environment. Few studies have focused on the “front end” factors determining the business environment. Based on panel data from 2011 to 2020, this study measures the business environment in 275 Chinese cities and uses the ArcGIS software and Natural Breaks (Jenks) to examine its spatiotemporal characteristics. The PSM‐DID model is utilized to examine the policy implications of the reform of government functions on the business environment. The findings demonstrate that China's urban business environment's total score has risen, and its geographic characteristics are “strong in the east and weak in the west.” Among the various sub‐dimensions of the business environment, the largest contribution is the infrastructure environment, followed by the rule of law environment. The reform of government functions can improve the business environment from the second year onward. Regional and city‐level heterogeneities exist in the effects of the reform of government functions on the business environment. In addition, informatization level, population density, and consumption level can optimize the business environment. This study provides a guide for accelerating the creation of a marketized, legalized, international, and sustainable business environment.

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Environmental quality and sustainability: exploring the role of environmental taxes, environment-related technologies, and R&D expenditure

Dahmani

2023

Environ Econ Policy Stud

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Analyzing the N-shaped EKC among top nuclear energy generating nations: A novel dynamic common correlated effects approach

Cited by 84 publications

References 86 publications

The nexus between eco‐friendly technology and environmental degradation in India: Does the N or inverted N‐shape load capacity curve(LCC) hypothesis hold?

The nexus between eco‐friendly technology and environmental degradation in India: Does the N or inverted N‐shape load capacity curve(LCC) hypothesis hold?

Evaluation and optimization of business environment based on sustainable development perspective: Exploring the role of the reform of government functions

Environmental quality and sustainability: exploring the role of environmental taxes, environment-related technologies, and R&D expenditure

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