Do fiscal decentralization and natural resources rent curb carbon emissions? Evidence from developed countries

Tufail, Muhammad; Lin, Shih‐Hsun; Adebayo, Tomiwa Sunday; Kırıkkaleli, Derviş; Khan, Suliman

doi:10.1007/s11356-021-13865-y

Cited by 234 publications

(70 citation statements)

References 55 publications

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“…This is unsurprising considering that the economy of South Korea is predominantly an investment-oriented and manufacturing economy that strongly depends on the use of energy; nevertheless, altering the energy mix to include more renewable choices including wind and solar energy has the capability to minimize CO 2 emissions. This outcome complies with the studies of Kirikkaleli and Adebayo [40] for India, Soylu et al [26] for India, Orhan et al [25] for China, Tufail et al [45] for highly decentralized economies and Bekun et al [23] for Indonesia who established that GDP triggers CO 2 emissions positively. Energy use impacted CO 2 emissions positively in South Korea which implies that a 1.09% upsurge in CO 2 emissions is due to a 1% increase in the utilization of energy when other indicators are kept constant.…”

Section: Findings and Discussionsupporting

confidence: 88%

Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

et al. 2021

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The present research assesses the influence of globalization and technological innovation on CO2 emissions in South Korea as well as taking into account the role of renewable energy consumption and energy consumption utilizing datasets between 1980 and 2018. The autoregressive distributed lag (ARDL) bounds testing method is utilized to assess long-run cointegration. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL reveals that economic growth, energy consumption and globalization trigger environmental degradation while technological innovation improves the quality of the environment. In addition, the study employed the frequency domain causality test to capture causal linkage among the series. The major advantage of this approach is that causal linkage between series can be captured at the short, medium and long term, respectively. The outcomes of the causality test revealed that globalization, technological innovation, economic growth and energy use can predict CO2 emissions in South Korea.

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Section: Findings and Discussionsupporting

confidence: 88%

Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

et al. 2021

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“…The findings show that renewable energy is an effective instrument for achieving environmental and economic sustainability by reducing the negative consequences of human activities, such as land usage and water and commodities utilization. This outcome is anticipated and it concurs with the works of Apergis and Payne (2014) for sub-Saharan Africa nations, Adebayo and Kirikkaleli (2021) for Japan, and Tufail et al (2021) for highly decentralized economies.…”

Section: Findings and Discussionsupporting

confidence: 80%

“…4) There are no requirements for the test in terms of cross-sectional unit size or time dimension. 5) In the event of imbalanced panels, the test is equally effective (Tufail et al, 2021). The panel DH causality equation is illustrated as follows:…”

Section: Panel Causalitymentioning

confidence: 99%

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Martins

Adebayo

Mata

et al. 2021

Front. Environ. Sci.

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The continuous growth in CO2 emissions of nations around the globe has made achieving the aim of sustainable development extremely challenging. Therefore, the current research assesses the connection between CO2 emissions and economic complexity in the top 7 economic complexity countries while taking into account the role of economic growth, renewable energy consumption, and globalization for the period between 1993 and 2018. The research aims to answer the following questions: 1) What is the association between CO2 and the regressors in the long-run? 2) What are the effects of renewable energy consumption, economic growth, economic complexity, and globalization on CO2 emissions? The research utilized the CS-ARDL, CCEMG and panel causality approaches to investigate these interconnections. The empirical outcomes revealed that economic growth and economic complexity increase CO2 emissions while renewable energy consumption and globalization mitigate CO2 emissions. The outcomes of the causality test revealed a feedback causal connection between economic growth and CO2, while a unidirectional causality was established from economic complexity, globalization and renewable energy consumption to CO2 emissions in the top 7 economic complexity countries.

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“…Notwithstanding the well-established studies, scholars have paid little attention to the influence of hydroelectricity on CO 2 emissions in China. Prior research looked at many pollution factors, such as energy usage and GDP [10][11][12][13][14], urban population [11,[15][16][17][18][19][20], financial development [21][22][23], and trade openness [24][25][26][27][28]. Furthermore, because CO 2 emissions account for more than 76 percent of GHGs emissions, the majority of researchers utilized CO 2 as an indication of degradation of the environment [19,25,28,29].…”

Section: Introductionmentioning

confidence: 99%

Linking Economic Growth, Urbanization, and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?

Adebayo

Agboola

Rjoub

et al. 2021

IJERPH

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Achieving environmental sustainability has become a global initiative whilst addressing climate change and its effects. Thus, this research re-assessed the EKC hypothesis in China and considered the effect of hydroelectricity use and urbanization, utilizing data from 1985 to 2019. The autoregressive distributed lag (ARDL) bounds testing method was utilized to assess long-run cointegration, which is reinforced by a structural break. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL revealed that both economic growth and urbanization trigger environmental degradation while hydroelectricity improves the quality of the environment. The outcome of the ARDL also validated the EKC hypothesis for China. In addition, the study employed the novel gradual shift causality test to capture causal linkage among the series. The advantage of the gradual shift causality test is that it can capture gradual or smooth shifts and does not necessitate previous information of the number, form of structural break(s), or dates. The outcomes of the causality test revealed causal connections among the series of interest.

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Do fiscal decentralization and natural resources rent curb carbon emissions? Evidence from developed countries

Cited by 234 publications

References 55 publications

Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Linking Economic Growth, Urbanization, and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?

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