Relationship among Economic Growth (GDP), Energy Consumption and Carbon Dioxide Emission: Evidence from V4 Countries

Myszczyszyn, Janusz; Suproń, Błażej

doi:10.3390/en14227734

Cited by 21 publications

(10 citation statements)

References 58 publications

(55 reference statements)

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“…All the studies by (Wu et al, 2019;Mo and Wang., 2021;Tian and Lin., 2021) have concluded that the relationship between the two gradually tends toward low-carbon economic development, providing a scientific theoretical basis for adopting emission reduction measures to reach the peak in each region. In another study, Zhao et al (2022) argued that carbon emissions and economic growth are closely related and generally do not cross over in the long run; this view was also supported by (Myszczyszyn and Suproń, 2021) study of carbon emissions and economic growth in V4 countries (namely Czech Republic, Hungary, Poland, and Slovakia). However, there is still a degree of dependence of economic growth on carbon emissions.…”

Section: The Relationship Between Carbon Emissions and Economic Growthmentioning

confidence: 82%

Analysis of Regional Carbon Emission Decoupling Coupling in China Based on ArcGIS Analysis-Empirical Evidence From Urban-Rural Integration in Fujian Province

Xie

Zhang

et al. 2022

Front. Energy Res.

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China’s ambitious measures for developing a low-carbon economy led to the “double carbon” target initiation. Under this national goal, reaching peak carbon emissions by 2030 is desired. This should not come at the cost of economic growth; which means carbon emissions can be reduced while economic growth can be achieved simultaneously. To realise this strategic reform, the first pilot ecological civilisation zone in Fujian Province of China was initiated; its outcome is set to be the responsible case for such initiations aiming at increased low-carbon economy development. Therefore, it is essential to investigate the relationship between carbon emissions and economic growth based on the evidence. Hence, we applied a model that combines the Tapio and Coupled coordination. Combining the Tapio and the coupled coordination models allows us to analyse carbon emissions and economic growth in Fujian Province over 20 years, i.e., 2001–2020. First, we divided the urban-rural integration process into four stages following China’s Five-Year Plan (FYP): T1 (2001–2005), T2 (2006–2010), T3 (2011–2015), and T4 (2016–2020). Second, ArcGIS mapping was used to represent the spatial evolution pattern of low-carbon economic development in Fujian Province. We observed that the low-carbon economy in Fujian Province had reached a point where the economic growth rate has already exceeded its carbon emission growth rate and is currently in a weak decoupling state. In addition, there observed a bifurcation pattern between carbon emissions and economic growth, especially in the coastal cities that are out of balance, whereas the inland cities are being coordinated. Overall, it is observed that the concept of ecological civilisation is crucial for China to achieve the “double carbon goal,” and it is high time to create accelerating measures that guide the integration of urban and rural areas in the future with appropriate infrastructure.

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Section: The Relationship Between Carbon Emissions and Economic Growthmentioning

confidence: 82%

Analysis of Regional Carbon Emission Decoupling Coupling in China Based on ArcGIS Analysis-Empirical Evidence From Urban-Rural Integration in Fujian Province

Xie

Zhang

et al. 2022

Front. Energy Res.

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“…In the case of the Visegrad countries, which are the subject of this study, an overview of recent research and methods in the area of the EKC curve has so far been provided by Suproń and Myszczyszyn (2023) and Leitão et al (2023). The symmetrical relationship be-tween CO 2 emissions and energy consumption in the Visegrad countries was also analysed by Myszczyszyn and Suproń (2021). Previous studies of the relationship between CO 2 emissions and economic factors have used constantly improving methods, estimating symmetric single series models and panel data such as VECM, VAR, ARDL, NARDL, FMOLS, DOLS (Debone et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the long-term asymmetric relationship between energy consumption and CO2 emissions: Evidence from the Visegrad Group countries

Suproń

2024

EBR

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This study investigates the impact of renewable (REW) and non-renewable (NREW) energy usage, along with econom-ic growth (GDP), on carbon dioxide (CO2) emissions in the Visegrad countries, which rely heavily on traditional energy sources. Using data from 1991 to 2021, the analysis employs a panel asymmetric regression with Driscoll-Kraay and FGLS standard errors. The latent cointegration test reveals long-term relationships with asymmetry among the variables. Real GDP fluctuations exhibit a negative impact on CO2emissions for both positive and negative shocks. A reduc-tion in conventional energy source consumption leads to a greater CO2 emission reduction, confirming asymmetry. Conversely, an increase in consumption positively impacts CO2 reduction. However, non-conventional energy sources show no asymmetries. The OLS-based model proposed by Driscoll-Kraay showed reduced standard errors, but lower significance in the estimated parameters compared to the FGLS model. The findings recommend a sustainable energy transition for Visegrad countries by eliminating traditional sources and promoting renewable resources.

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“…2 energy sources has become a critical decision for all countries worldwide [5,6]. In turn, agricultural production plays a crucial role in food security, but agricultural activities are also associated with the emission of significant amounts of N2O and methane (CH4) into the atmosphere [7,8].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Dynamic Relationships between Agricultural Production and Environmental Pollution: Evidence from a GMM-SYS Model in the Three Seas Initiative (3SI)

Suproń,

Myszczyszyn

2024

Preprint

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Three Seas Initiative (3SI) is still an underresearched area and is particularly important due to historical circumstances and economic backwardness. A study was carried out to assess the impact of renewable energy and production generated by the agricultural sector on CO2 emissions in 3SI countries between 2008 and 2020. The study used panel data analysis based on the two-step system generalised method of moments (GMM) and the Dumitrescu-Hurlin panel causality test. The results show that a 1% increase in the value-added generated by agriculture increases CO2 emissions in the countries studied by 0.11%. In contrast, a 1% increase in GDP leads to a 0.29% increase in CO2 emissions. Conversely, when renewable energy consumption increases by 1%, CO2 emissions fall by 0.25% in the countries studied. One way to reduce CO2 emissions from agricultural production in the short term is to increase the share of renewables, which, incidentally, is in line with EU action.

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Relationship among Economic Growth (GDP), Energy Consumption and Carbon Dioxide Emission: Evidence from V4 Countries

Cited by 21 publications

References 58 publications

Analysis of Regional Carbon Emission Decoupling Coupling in China Based on ArcGIS Analysis-Empirical Evidence From Urban-Rural Integration in Fujian Province

Analysis of Regional Carbon Emission Decoupling Coupling in China Based on ArcGIS Analysis-Empirical Evidence From Urban-Rural Integration in Fujian Province

Assessing the long-term asymmetric relationship between energy consumption and CO2 emissions: Evidence from the Visegrad Group countries

Exploring the Dynamic Relationships between Agricultural Production and Environmental Pollution: Evidence from a GMM-SYS Model in the Three Seas Initiative (3SI)

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