Revisiting the Environmental Kuznets Curve in the European Union countries

Frodyma, Katarzyna; Papież, Monika; Śmiech, Sławomir

doi:10.1016/j.energy.2021.122899

Cited by 66 publications

(21 citation statements)

References 69 publications

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“…The long-term conclusions of the PMG estimator also yielded findings supporting the entity of agriculture-based environmental Kuznets curve for forty-seven developing countries. Frodyma et al (2022), confirmed the soundness of the EKC hypotheses in EU countries for the term 1970-2017 by examining the three environmental Kuznets Curve specifications and checking the soundness of EKC for consumption-based emissions (CBA) and productionbased emissions (PBA). Using the ARDL test, their study determined that in most countries, EKC models failed to clarify the relation between income and productionbased emissions over the term 1970-2017.…”

Section: Literature Researchmentioning

confidence: 68%

Can Environmental Sustainability Be Achieved in Oecd Countries? Panel Estimation of Environmental Kuznets Curve Theory

Konya

2022

International Scientific Conference „Business and Management“

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The relationship between the environment and the economy is one of the most frequently encountered issues recently. One of the problems that countries have faced recently is environmental sustainability. Therefore, this study is purposed to examine the relationship between environmental and economic variables. In the example of 24 OECD member countries, the entity of Environmental Kuznets curve theory is examined in the inverse U-link between per capita GDP and per capita carbon dioxide emissions. We analyzed the inverted U-link between CO2 emissions and per capita GDP in annual balanced panel data covering the period 1980–2014. Westerlund’s cointegration test was used for analysis. For long-term parameter estimation, PMG (Pooled Mean Group) estimator methods were applied. Dumitrescu and Hurlin Granger causality test was performed to specify causal connections. As a result of the study, it is pointed out that first of all, electricity consumption has a positive and significant effect on CO2 emissions in the long run. Secondly, our findings show that environmental degradation is in an inverted U shape in the Environmental Kuznets Curve hypotheses. That is to say, results were obtained verifying the existence of the Environmental Kuznets Curve theory. Eventually, bidirectional causal links are observed between CO2 emissions and economic growth and between CO2 emissions and electricity consumption.

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Section: Literature Researchmentioning

confidence: 68%

Can Environmental Sustainability Be Achieved in Oecd Countries? Panel Estimation of Environmental Kuznets Curve Theory

Konya

2022

International Scientific Conference „Business and Management“

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“…Sterpu et al ( 2018 ) investigated 28 EU countries from 1990 to 2016 and concluded that the relationship is unstable. Frodyma et al ( 2022 ) categorically tested the existence of EKC in 28 EU countries from 1970 to 2017, showing that both production and consumption emissions rejected the EKC hypothesis. In addition, some empirical studies have confirmed the existence of N-type EKC, such as Bekun et al ( 2021a ), Shahbaz et al ( 2019 ), Balsalobre et al ( 2018 ), etc.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is vital to perform independent sub-sectoral research on agriculture, service industry, international trade, and other industries because there may actually be sectoral heterogeneity in the influence of the digital economy on carbon emissions. In addition, there is heterogeneity in the production and consumption of carbon emissions (Frodyma et al 2022 ), and there is a need to further disaggregate the potential heterogeneous outcomes from various emission types. These are all potential areas for future in-depth research.…”

Section: Conclusion and Policy Implicationmentioning

confidence: 99%

Impact and mechanism of digital economy on China’s carbon emissions: from the perspective of spatial heterogeneity

Qin

2022

Environ Sci Pollut Res

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Using panel data from 30 provinces and cities in China over the period 2013–2019, we intend to explore the mechanism and regional heterogeneity of the influence of digital economy development on carbon emissions. Specifically, this relationship is analyzed by including the geographical variable coefficient model into the chain mediation effect model, taking spatial correlation and heterogeneity into account. The results indicate that the digital economy decreases carbon emissions by enhancing energy intensity, but raises carbon emissions by fostering economic expansion, making digital economy a net contribution to carbon emissions. Moreover, the effect of the digital economy on carbon emissions varies by geographic location. For instance, the total impact is the greatest in northern China, followed by the southwest and southeast, and relatively minor in the northwest and south. Our findings contribute to the existing research and offer policymakers with a theoretical reference, allowing them to customize carbon reduction plans to local conditions.

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“…Numerous studies have proved that an environmental Kuznets curve (EKC) for carbon emissions exists in many regions or countries, and there is a remarkable inverted U-shaped relationship between economic development and carbon emissions (Frodyma et al, 2022;Tang et al, 2022). Take GDP per capita (constant 2010 US$) as the economic development level.…”

Section: Control Variablesmentioning

confidence: 99%

Exploring the impact of renewable energy investment and energy resource endowment on carbon emission efficiency: A spatial econometric analysis based on 60 BRI countries

Yuan

Wang

et al. 2022

Preprint

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With climate change caused by massive greenhouse gas emissions emerging as an issue of global concern, it is urgent to improve carbon emission efficiency (CEE) for countries along the Belt and Road (BRI). The super-efficiency slacks-based measure (SBM) model is adopted to evaluate the CEE of 60 BRI countries from 2010 to 2019, while the Global Malmquist-Luenberger (GML) index, Theil index, and coefficient of variation (CV) are coupled to quantify the spatial and temporal variation and dynamic evolution of CEE. Subsequently, the spatial Durbin model (SDM) provides an empirical investigation regarding the impact of renewable energy investment and energy resource endowment on CEE given the spatial spillover effect. It is found that (1) From a static perspective, the CEE of BRI countries is generally poor and unevenly distributed in terms of temporal and spatial dimensions. The regional variation of CEE in Southeast Asia is narrowing, while it is widening in other regions. (2) Referring to the dynamic level, the GML index is featured U-shaped fluctuations, and both technical efficiency and technological progress contribute to the improvement of CEE in BRI countries. (3) The CEE of BRI countries exhibits significant spatial dependence, with high-high aggregation as well as low-low aggregation. (4) There is a significant positive influence of renewable energy investment on CEE in the country and neighboring countries, while energy resource endowment presents a remarkable adverse correlation. Consequently, it is suggested that the inter-regional cooperation among BRI countries should be strengthened to reinforce renewable energy investment, exert the technology and knowledge spillover effect sufficiently, and break the resource curse in the environmental field.

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Revisiting the Environmental Kuznets Curve in the European Union countries

Cited by 66 publications

References 69 publications

Can Environmental Sustainability Be Achieved in Oecd Countries? Panel Estimation of Environmental Kuznets Curve Theory

Can Environmental Sustainability Be Achieved in Oecd Countries? Panel Estimation of Environmental Kuznets Curve Theory

Impact and mechanism of digital economy on China’s carbon emissions: from the perspective of spatial heterogeneity

Exploring the impact of renewable energy investment and energy resource endowment on carbon emission efficiency: A spatial econometric analysis based on 60 BRI countries

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