Analysis of Spatial Effects in the Relationship between CO2 Emissions and Renewable Energy Consumption in the Context of Economic Growth

Jankiewicz, Mateusz; Szulc, Elżbieta

doi:10.3390/en14185829

Cited by 6 publications

(4 citation statements)

References 43 publications

(48 reference statements)

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“…Sustainable practices, resource efficiency, policy interventions and regulatory frameworks that reward environmentally friendly actions, and raising individual and corporate awareness of environmental repercussions of decision are needed to reduce the ecological footprint [68,69]. New economic geography can also help firms adapt to greener practices [70]. Thinking about the consequences of crossing the ecological footprint threshold and applying new economic geography can help us create a more sustainable and environmentally conscious future.…”

Section: Policy Recommendationsmentioning

confidence: 99%

Unraveling the Interrelationship of Digitalization, Renewable Energy, and Ecological Footprints within the EKC Framework: Empirical Insights from the United States

2023

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The study seeks to better comprehend the ecological footprint of the United States by analyzing the effects of digital financial inclusion (FinTech) as well as renewable and non-renewable energy usage. Data from 2005 Q1 to 2020 Q4 were analyzed using the quantile autoregressive lag (QARDL) method. It also used Granger causality in quantiles to analyze the correlation between variables and draw conclusions about their relative importance. Quantile-wise, the error correction parameter is statistically significant with the predicted negative sign, as shown by the results obtained using the QARDL method. Indications are mounting that the relationship between these variables and the United States’ ecological footprint is returning to its long-term equilibrium. However, in the long/short-run period, across all quantiles, economic growth and consumption of non-renewable energy have a positive impact on the ecological footprint. The environmental Kuznets curve (EKC) theory was also examined, which holds that an inverted U-shaped link exists between economic growth and environmental degradation. The QARDL study’s findings corroborated the presence of an EKC in the US, lending credence to the theory that while economic growth at first promotes environmental deterioration, further progress ultimately promotes environmental improvement. The study additionally checked the results of the QARDL test for robustness using the ARDL approach. Recommendations for public policy are included in the paper for consideration by legislators and policymakers.

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Section: Policy Recommendationsmentioning

confidence: 99%

Unraveling the Interrelationship of Digitalization, Renewable Energy, and Ecological Footprints within the EKC Framework: Empirical Insights from the United States

2023

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“…tance matrix is presented by Jankiewicz, M. and Szulc, E. in their study (Jankiewicz, M. and Szulc, E. 2021).…”

Section: Methodsmentioning

confidence: 99%

Regional economic growth and unemployment in the European Union – a spatio-temporal analysis at the NUTS-2 level (2013–2019)

Jankiewicz

2023

HunGeoBull

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The study aims to verify the relationship between the unemployment rate and economic growth in European Union (EU) regions. As the most important macroeconomic relationship, the significance of the dependence between the labour market situation and the output growth is widely known and considered. Analysis in this research was conducted using data for 229 EU regions on the NUTS-2 level in the years 2013–2019. In order to verify the relationship between the unemployment rate and the output growth, the spatio-temporal models for pooled time series and cross-sectional data (TSCS) were estimated. The Fitted Trend and Elasticity Method of verifying Okun’s law was used in the analysis, wherein the deterministic trend factor was enriched with the spatial element. Educational attainment as the additional explanatory variable was included in the models. The neighbourhood between regions was quantified based on two criteria: (1) common border criterion – related to the possibility of population migrations, and (2) similarity of the unemployment rate criterion – related to the imitation effect in the issue of introduced rules and regulations on the labour market by regional governments. One of the hypotheses verified in the investigation is the superiority of the economic neighbourhood over the geographical neighbourhood.

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“…The process, characterizing the economic similarity of the spatial units, is the Happy Planet Index (HPI), which shows the level of their wellbeing. The distance matrix (D) was constructed in the following steps (see: [10], pp. 4-5):…”

Section: Spatial Structure Of the Processesmentioning

confidence: 99%

“…Moreover, increasing the level and share of energy consumption from renewable sources contributes to environmental protection by reducing greenhouse gas emissions to the atmosphere [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach

Jankiewicz

2021

Energies

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This article presents the analysis of the convergence of energy use from renewable sources among chosen European countries using a spatio-temporal approach. The high energy dependence of European countries on the economies of other continents makes the development of the use of renewable sources for energy production an important factor of their economic and social progress. The economic growth of every country is determined, among other factors, by an increase in the energy inputs. Therefore, in order to avoid excessive degradation of the environment, the use of renewable energy sources is increasingly becoming the crucial goal of governments worldwide. The analysis was conducted using data for 32 selected European countries in the years 1995–2019. In order to check progress in the case of the homogenization of renewable energy use, the β-convergence models for pooled cross-sectional and time-series data (TSCS) and also spatio-temporal β-convergence models were estimated. Absolute and conditional convergence was considered. Based on the literature review, the gross domestic product (GDP) per capita level and CO2 emissions per capita level as processes conditioning the convergence in the case of the renewable energy use were chosen. Moreover, the spatial dependencies between neighboring countries were included in the models, and the neighborhood was defined in two ways. The neighborhood was quantified using the connection matrices: (1) based on the common border criterion (geographical neighborhood) and (2) based on the well-being level similarity (economic neighborhood based on the HPI index values).

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Analysis of Spatial Effects in the Relationship between CO2 Emissions and Renewable Energy Consumption in the Context of Economic Growth

Cited by 6 publications

References 43 publications

Unraveling the Interrelationship of Digitalization, Renewable Energy, and Ecological Footprints within the EKC Framework: Empirical Insights from the United States

Unraveling the Interrelationship of Digitalization, Renewable Energy, and Ecological Footprints within the EKC Framework: Empirical Insights from the United States

Regional economic growth and unemployment in the European Union – a spatio-temporal analysis at the NUTS-2 level (2013–2019)

The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach

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