Testing the EKC hypothesis for the top six hydropower energy-consuming countries: Evidence from Fourier Bootstrap ARDL procedure

Pata, Uğur Korkut; Aydın, Mücahit

doi:10.1016/j.jclepro.2020.121699

Cited by 219 publications

(80 citation statements)

References 40 publications

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“…The outcome complies with the findings of Zambrano-Monserrate et al [19], Ozatac et al [20], Pata [18], and Bekun et al [21]. However, the EKC hypothesis was refuted in the studies of Dogan and Inglesi-Lotz [28], Pata and Aydin [29], Koc and Bulus [31], and Dogan and Inglesi-Lotz [28]. Furthermore, Fig.…”

Section: Long-run and Short-run Estimations Findingssupporting

confidence: 89%

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Revisiting the EKC hypothesis in an emerging market: an application of ARDL-based bounds and wavelet coherence approaches

Adebayo

2020

SN Appl. Sci.

132

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This study aims to reexamine long-run and causal effects of trade openness, energy usage, gross capital formation, and real growth on CO 2 emissions in Mexico utilizing recent econometric techniques. The study utilizes yearly data spanning between 1971 and 2016. No prior study has used the wavelet coherence approach to collect information on the correlation and/or causal relation between these economic variables at different frequencies and time frames. Thus, this study proposes to fill the gap in the literature. The motives of the study are to address the questions: (a) Is the EKC hypothesis valid for Mexico? (b) Is there a long-run and causal relationship between CO 2 emissions and its determinants? (c) How are the indicators related at different frequencies and various periods? To capture long-run effects, the study utilized ARDL, FMOLS, and DOLS estimators, while wavelet coherence technique is utilized to explore causal effects among the variables. The empirical findings confirm that (a) EKC hypothesis is valid for Mexico; and (b) gross capital formation, energy usage, and economic growth impact CO 2 emissions positively. The wavelet coherence technique revealed (a) bidirectional causality between economic growth and CO 2 emissions; (b) unidirectional causality from CO 2 emissions to energy usage; and (c) one-way causality running from CO 2 emissions to gross capital formation. Based on these findings, recommendations were suggested.

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Section: Long-run and Short-run Estimations Findingssupporting

confidence: 89%

“…The results obtained disagree with the EKC hypothesis in these European countries. Pata and Aydin [29] explored the EKC hypothesis in Brazil, China, Canada, India, Norway, and the USA by employing yearly data between 1965 and 2016. The outcome showed that the EKC hypothesis is not valid.…”

Section: Literature Reviewmentioning

confidence: 99%

Revisiting the EKC hypothesis in an emerging market: an application of ARDL-based bounds and wavelet coherence approaches

Adebayo

2020

SN Appl. Sci.

132

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“…They concluded that economic growth can solve environmental problems [ 4 ]. Ugur and Mucahit studied the relationship between the ecological footprint and economic growth of the six largest hydroelectric power generating countries, i.e., Brazil, China, Canada, India, Norway, and the United States [ 5 ]. The conclusion is that the ecological footprint has no effect.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Kuznets Curve: Empirical Relationship between Energy Consumption and Economic Growth in Upper-Middle-Income Regions of China

Shi

2020

IJERPH

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This paper examines the environmental Kuznets curve (EKC) relationship between energy consumption and economic growth in upper-middle-income regions of China with the panel data of 21 provinces from 2000 to 2017. The influence mechanism of socio-economic factors on the EKC of these regions is also detected. The results show that the energy consumption EKC fitting map in these regions conforms to the classical environmental Kuznets curve, which is an inverted "N" type, and the inflection point is ahead and more accurate after adding spatial effects. The direct effect of energy consumption has delayed the inflection point, indicating that the level of industrialization, urbanization, and population density have a significant impact on EKC. At the same time, it is found that the level of industrialization and population density have a positive relationship with energy consumption, while the level of urbanization has a negative correlation with energy consumption. The spatial spillover effect of the indirect effects of total energy consumption, coal consumption, and crude oil consumption shows that the level of industrialization has a significant and negative link with EKC. The increase in the level of industrialization will affect the total energy consumption of neighboring areas and the consumption of coal and crude oil.

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“…The literature has recently revealed wide attention in the association linking dis(aggregate) energy use, economic growth (hereafter EG), and pollution. The existing literature can be separated into three areas of study (see Section 2): the first strand includes the existing energy literature, which handles a large range of studies of varied findings lying on the connection among the use of green energy and EG (e.g., [21][22][23][24][25][26], among others); the second strand combines a branch of research that treats the renewable energy consumption-environment nexus (e.g., [15,16,[27][28][29][30], among others); the third strand includes the existing literature, which presents practical proof on the association linking CO 2 emissions and EG, indicating the famous theory of Environmental Curve of Kuznets, e.g., [31][32][33][34][35][36]. As the connection between the environment and income continues to be indecisive within the environmental Kuznets curve (EKC), further research may offer the debate valuable information in previously uninvestigated regions and countries.…”

Section: Introductionmentioning

confidence: 99%

Green Energy, Economic Growth and Environmental Quality Nexus in Saudi Arabia

2021

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This article extends the previous studies on environmental economics literature by examining a possible relationship between economic growth, green energy, and environmental quality. Specifically, this article investigated the three-way linkage between economic growth, renewable energy, and environmental quality in the case of Saudi Arabia using the simultaneous equation modeling approach over the period of 1990–2016. The following are the main findings obtained: (i) a unidirectional causal impact of economic growth on renewable energy consumption was found, confirming the conservation hypothesis; (ii) bidirectional relationships between economic growth and CO2 emissions and between CO2 emissions and renewable energy consumption were also found; (iii) the failure of renewable energy in Saudi Arabia to close the gap between growing the economy and protecting the environment in Saudi Arabia; (iv) the environmental Kuznets curve (EKC) hypothesis was supported. Policy implications are also discussed.

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Testing the EKC hypothesis for the top six hydropower energy-consuming countries: Evidence from Fourier Bootstrap ARDL procedure

Cited by 219 publications

References 40 publications

Revisiting the EKC hypothesis in an emerging market: an application of ARDL-based bounds and wavelet coherence approaches

Revisiting the EKC hypothesis in an emerging market: an application of ARDL-based bounds and wavelet coherence approaches

Environmental Kuznets Curve: Empirical Relationship between Energy Consumption and Economic Growth in Upper-Middle-Income Regions of China

Green Energy, Economic Growth and Environmental Quality Nexus in Saudi Arabia

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