A gazdasági növekedés és a szén-dioxid-kibocsátás kapcsolatának vizsgálata a környezeti Kuznets-görbével

Németh-Durkó, Emilia

doi:10.20311/stat2020.12.hu1366

Cited by 4 publications

(1 citation statement)

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“…We are able to make fairly accurate predictions one season ahead, while secondary and tertiary autocorrelation tests, that are considerably more complicated than primary examinations, are necessary for predicting multiple periods in advance. The regression analyses become confounding factors, and the interval estimation and the statistical trials connected to it become distorted [76,77]. The frequent problem of cross-section data is multicollinearity [78].…”

Section: Application Of Artificial Neural Networkmentioning

confidence: 99%

Households’ Electricity Consumption in Hungarian Urban Areas

2021

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The aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be used for this purpose; however, the results obtained with the traditional regression method are compared with the results of another, more complex estimation method, the artificial neural network, which has the advantage of being able to use different types of models. The focus of our article is on methodological alignment, not necessarily the discovery of new results. Certain demographic characteristics significantly determine the energy demand of a household sector in a municipality. In this case, as the ratio of people aged 60 or over within a city rises by 1%, the urban household average energy consumption decreases by 61 kilowatt hours, and when it rises by 1%, the amount of pollutants expelled from urban households’ average energy consumption may decrease by 22.8745 kg. The research area of our paper was greatly influenced by the availability of the statistical data. The results can be used in the planning of urban developments.

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Section: Application Of Artificial Neural Networkmentioning

confidence: 99%

Households’ Electricity Consumption in Hungarian Urban Areas

2021

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Fossil Fuel CO2 Emissions and Economic Growth in the Visegrád Region: A Study Based on the Environmental Kuznets Curve Hypothesis

Rabbi,

Abdullah

2024

Climate

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The relationship between fossil fuel CO2 emissions and economic growth in the Visegrád (V4) countries (Czechia, Hungary, Poland, and Slovakia) is examined through the lens of the environmental Kuznets curve (EKC) hypothesis. Employing the modified environmental Kuznets curve (MEKC) hypothesis, time-series data from 2010 to 2022 were analyzed. The methodology encompasses a range of econometric techniques, including temporal, comparative, correlational, and regression analyses, to unravel the intricate relationship between economic development (measured by GDP per capita) and environmental pollution (CO2 emissions). Results reveal a complex nonlinear correlation between GDP per capita and CO2 emissions in the V4 countries, following an inverted U-shaped pattern. Specifically, Czechia and Hungary exhibited peak emissions at approximately USD 5000 and USD 4500 GDP per capita, respectively, with corresponding emission levels of 1.15 and 0.64 metric tons. In contrast, Slovakia’s emissions decreased after its GDP per capita exceeded USD 5000 and carbon dioxide emissions reached 0.15 metric tons. However, Poland’s data deviate from the MEKC pattern, exhibiting a consistent rise in CO2 emissions across all levels of GDP per capita. The study highlights that the power industry is the largest source of CO2 emissions in all four countries, contributing 88.09% of total emissions. The transportation and industrial combustion sectors account for about 2.12% and 1.28% of annual emissions, respectively. GDP–CO2 emission correlations vary across the V4 countries. While Czechia exhibits a positive correlation of 0.35, Hungary (−0.37), Poland (−0.21), and Slovakia (−0.11) display negative relationships. Notably, Poland experiences the most significant increase in CO2 emissions from both road transport and air traffic. The conclusions drawn from this study provide a robust foundation for developing tailored environmental policies that support sustainable growth in the Visegrád region and other transitioning economies.

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The Role of the Key Components of Renewable Energy (Combustible Renewables and Waste) in the Context of CO2 Emissions and Economic Growth of Selected Countries in Europe

2021

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In the case of developing countries, it is not clear which crisis management tools will ensure sustainable development in a sustainable and environmentally friendly way, as well as reducing CO2 emissions in addition to ensuring GDP growth. The next analysis discusses the details of this issue. The study explores the connection between per capita GDP, emission of CO2, combustible energy, and waste consumption. The Hausman test ratifies that the regression model with the fixed effect is the proper method for the panel balanced data from 1990 to 2019 in the selected 13 countries of the EU. This study ordered the data into three categories (for 13 selected countries, the top nine EU countries (in GDP), and Visegrad countries (Hungary, Slovakia, Czech Republic and Poland)). The study found a significant positive effect of combustible energy and waste consumption and the negative impact of CO2 emission on GDP per capita. The cointegration test confirms that all three variables are cointegrated. This implies a long-term link among all three variables in the context of all three types of the selected panel. The Granger causality results ensure that there is a two-way cause–effect relation between the variables. The study strongly recommends that developed European Union countries (the top nine EU countries) increase energy production from biomass-based renewable energy and waste to stimulate economic growth. The same strategy was not recommended in the Visegrad countries because of the much lower GDP growth due to the N-shaped Kuznets curve. In these countries, it is advisable to avoid unexpected increases in CO2 emissions from biomass and fossil fuel-burning, to achieve greenhouse gas reductions using other circular, platform-based models instead of simple biomass energy production. Due to the low level of energy efficiency and the lack of application of technological innovation, the energy use of biomass can significantly slow down GDP growth in less developed EU countries (such as the V4 countries).

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A gazdasági növekedés és a szén-dioxid-kibocsátás kapcsolatának vizsgálata a környezeti Kuznets-görbével

Cited by 4 publications

References 0 publications

Households’ Electricity Consumption in Hungarian Urban Areas

Households’ Electricity Consumption in Hungarian Urban Areas

Fossil Fuel CO2 Emissions and Economic Growth in the Visegrád Region: A Study Based on the Environmental Kuznets Curve Hypothesis

The Role of the Key Components of Renewable Energy (Combustible Renewables and Waste) in the Context of CO2 Emissions and Economic Growth of Selected Countries in Europe

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