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The green paradox describes an undesirable and socially inefficient phenomenon caused by the expansionary reactions of the supply as a response to the various mechanisms that combat climate change. This article seeks to understand and aggregate the different drivers of this phenomenon portrayed in the literature, as well the empirical evidence associated and the proposed solutions. For this purpose, compilation and systematization of the various scientific contributions up to date in this context have been elaborated and the driver's effective impact on the European scenario was evaluated, using a balanced panel for 28 countries in Europe over 1996-2018 and the generalized method of moments (GMM) econometric procedure. Proxies for all provocateurs identified in the state of the art were incorporated in this study: (i) environmental taxes, (ii) green support, (iii) uncertain property rights, (iv) emissions limit (cap), and (v) temporal lag. The dependent variables used are (1) the ratio between the annual production/extraction of oil and the consumption of primary energy and (2) the carbon dioxide (CO2) intensity. We have obtained evidences that the hiatus in the implementation of the European emission cap mechanism has generated a strong green paradox. Moreover, a robust reflection regarding the economic and environmental adequacy of green supports should be considered due to its questionable net benefits. Lastly, we offer some recommendations of public environmental policies that escape the paradoxical phenomenon, through the enunciation of the conditionalities of these provocateurs., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The aim of this study is to investigate the relationship between sectoral renewable energy consumption and economic growth in the US economy for the period 1950-2020 by using the Fourier component augmented unit root, cointegration, and causality analyses for the transportation, industrial, residential, electric power, and commercial sectors. Our results reveal in the long run that renewable energy will Granger cause growth through the new jobs it will create, the restructuring of the economy which is a prerequisite for replacing fossil energy with renewable energy. On the other hand, causal relationships are less stable and methodology and sector specific in the short run. Accordingly, the electric power and industrial sectors experience conservation patterns in terms of renewable energy consumption, while the growth hypothesis is confirmed for the commercial sector. Different implications are generated for each sector, which are now more important than ever given the current energy crisis in Europe and the urgent need to reduce dependence on fossil fuels., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The aim of this paper is to investigate the nexus between natural resources, gross capital formation, globalization, and economic growth in the developing countries from European, Asian, African, and American continents. It adopted the panel vector autoregression (PVAR) approach to test this relationship for the period from 1980 to 2018. Results suggest that natural resources and globalization have a positive impact on economic growth in European, Asian, and American countries, while capital formation negatively affects growth. In African countries, the effect of globalization and gross capital formation is positive, but natural resources have a negative impact on GDP. Evidence from all continents illustrate that there is bidirectional causality between globalization and economic growth. Also, there is bidirectional causality detected between capital formation and growth in Europe and Asia and between natural resources and growth in Asia and America, while there is unidirectional causality from GDP to natural resources in Europe, from capital formation to GDP in Africa and America, from GDP to natural resources in Europe, and from natural resources to GDP in America. Based on these results, it can be said that new growth models can no longer be independent of natural resource rents and globalization., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)

The present study aims to investigate the impact of climate change technologies on green growth for a panel of overall European economies, Eastern, and Western European economies over 2000 to 2017. The study estimates the STIRPAT (stochastic impacts by regression on population, affluence, and technology) and IPAT (human impact, population, affluence, and technology) models with a particulate focus to address the issue of cross-sectional dependence and cross-sectional heterogeneity in the model by using Westerlund cointegration approach and fully modified ordinary least square (FMOLS) approach. After confirming the cointegration relationship, the findings indicate that in the case of IPAT model, energy-related climate change technology contributes towards green growth, while in case of STRIPAT model, environment-related budget tends to have favorable impact on green growth. However, other variables, such as transport and production-related climate change technologies along with energy consumption, tend to have negative impact on green growth. The findings are almost robust concerning Eastern and Western Europe. The findings indicate that renewable energy is pro-growth and thus the authorities concerned need to promote and encourage the use of renewable energy. In this regard, the role of public-private-partnership is important as well as policymakers need to allocate environment-related specific budget and extend exemption in taxes on the use of environment-friendly technologies. Renewable energy programs ensure an improved return on green growth, although costly to implement. Attention needs to be focused on technologies related to wind power, solar electricity, biogas for electricity and heat generation, and biofuels for transport from low initial levels. Thus, policymakers should focus on the positive impact of environmental regulations. Polluting industries should be taxed to adopt clean technologies and clean industries should be supported with tax exemption as an incentive. Moreover, the research and development (R&D) budget should be increased.

This research work examines the nexus among renewable, non-renewable energy consumption, CO 2 emissions, and economic growth in 26 European countries with data obtained from the World Bank database within the time period of 1990 to 2018. Firstly, unit root and panel cointegration approach analyses are conducted to test the stationary. The results indicate that there exists a long-run nexus among non-renewable, renewable energy, carbon-monoxide, and economic growth. Granger causality test was also used to explore the direction among economic growth, carbon emissions, and energy consumption. The results from this test are inconsistent, while it indicated bidirectional causality between economic growth and renewable energy consumption, there was also a unidirectional causality between renewable energy and non-renewable energy consumption as well as renewable energy and CO 2 emissions. This result proves an interdependency and substitutability between both renewable and non-renewable sources of energy.

This study analyzes how economic resources invested in roads may affect mortality, depending on the level of economic development of a country. To this end, 23 European countries were classified into two groups-high-income countries and low-income countries-according to their average Gross Domestic Product (GDP) per capita over the period 1998-2016. The economic resources are considered through the investment in construction and the maintenance expenditure. Further variables are included to control for several factors related to the infrastructure, socioeconomics, legislation, and meteorology. Fixed-effects panel data models were built separately for the interurban road network of each group of countries. These models also capture the international inequalities within each group and the country-specific national trend for the study period. The main results indicate a reduction effect on the fatality rate of road maintenance expenditure (in both groups), and of the investment in construction (in the low-income countries). Other variables-such as proportion of motorways, motorization rate, unemployment rate, GDP per capita, alcohol consumption, Demerit Point System, and mean annual precipitation-showed statistically significant results as well. Finally, the country-specific fixed effects and the country-specific trend were mapped geographically, to better reflect national conditions for achieving lower fatality rates in the high-income countries, and greater progress in reducing fatalities in the low-income countries. In the end, this study provides evidence to policy-makers that can help to achieve a safer and more sustainable transport system, namely, how to tackle an ongoing major problem-traffic-related deaths-when attending and allocating the economic resources that road infrastructure needs., (© 2022. The Author(s).)

This paper empirically examines the environmental Kuznets curve (EKC) hypothesis using a country's water stress as an indicator of the pressure on renewable water resources. The sample consists of 9 European countries by covering the period 1995-2013. The paper adopts a panel threshold regression model which can predict the threshold level endogenously to analyze whether income per person has an impact on water stress. The empirical findings strongly demonstrate the existence of a threshold beyond which environmental pressures of GDP (real) per capita growth on renewable water resources tend to increase. The growth below the threshold levels has no statistically significant effect on water stress, while the growth rate above the threshold increases stress on water resources. The available empirical findings obtained, albeit limited, tend not to support the EKC hypothesis, which postulates an inverted-U-shaped relationship.

This study aims to explore the relationship of environmental degradation with economic growth and energy innovation by utilizing the panel data of 33 European countries by covering the period of 1996 to 2017. We use the cross-sections independence and control the heterogeneity between cross-sections by using the second-generation econometric of panel data. The Westerlund bootstrap co-integration, CIPS unit root test, Pedroni co-integration, panel causality techniques, and FMOLS have been used to analyze the relationship. The result of the study shows that all the variables are integrated in the long run. Energy innovation has a negative and significant impact on environmental degradation. On the other hand, gross domestic product has a U-shape and significant relationship with environmental degradation by supporting Kuznets curve. Therefore, this study helps not only the policymaker and government but also the people and businessmen on how they can increase the growth of the business and economy without effecting the environment.

Climate change has generated intense concerns from public authorities and international institutions with regard to shaping the behavior of companies, consumers, investors, and other stakeholders so as to manage this challenge as efficiently as possible. In order to address the climate emergency in the post-pandemic era, recovery plans need to trigger decarbonization, and a green transition, including specific investments and providing a more adaptive structure of the sources of energy in different regions, able to meet the need for a systemic shift towards a more sustainable economy that works for both people and the planet. The main measurable effect of energy production and consumption is by far represented by carbon emissions. In the present paper, we aim to identify the statistical significance of several factors influencing the carbon dioxide emission per capita in the European countries-level of economic development, level of globalization, trade openness, and the intensity of energy transition measured by the share of renewable energy in total energy consumption. The results show an increased interest of the experts in energy consumption model shift through green energy increased share, with relatively high differences among the 42 European countries analyzed. The analysis was conducted for the period 1990-2018 and policy differences depending on variables (GDP/capita, globalization index, trade openness, and renewable energy share in total energy consumption) were identified. The results showed that the carbon dioxide emission per capita evaluation designed model is representative of the European countries. The fact that the targets set by European non-EU member states for reducing CO2 emissions are lower than for the EU is influencing the dynamics of the energy transition, with implications for the size and destination of funds to finance the development of renewable energy., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Renewable energy production is necessary for digital society; it is also beneficial for labor market and sustainable development. This paper examines the impact of renewable energy production on unemployment rate by employing panel NARDL-PMG and robust asymmetric quantile regression for European countries from 1991 to 2019. The results reveal that renewable energy production significantly reduced unemployment in European countries in long run. The renewable energy production effect is found significant in the asymmetric model, specifically, in European countries; a positive change in renewable energy production has a negative significant impact on unemployment, and a negative change in renewable energy production has a positive significant impact on unemployment in long run. The GDP, investment, and technology innovation process are found to be triggered in labor market by reducing the unemployment rate in the long run. In addition, the asymmetric effects of renewable energy production on unemployment growth are robust in the different quantile regression. The findings suggest some insightful policy implications for government officials and policymakers., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study empirically examines the environmental Kuznets curve (EKC) hypotheses by investigating the relationship between ecological footprint, economic growth, energy consumption, and population growth. The study uses ecological footprint as a measurement of environmental degradation which is a more comprehensive indicator and considers all factors responsible for environmental degradation. Keeping in view the problem of cross-sectional dependence, a more efficient estimation tools like pooled mean group and augmented mean group have been used to estimate the long-run parameters for 22 European countries from 1995 through 2015. Results of the study found a quadratic relationship between income growth and ecological footprint and support validity of EKC. Energy consumption positively contributes to ecological footprint, while population growth plays no significant role in determining environmental quality. The long-run estimates of the study are validated through robustness analysis by employing dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) techniques. Dumitrescu and Hurlin (2012) panel non-causality test indicated that there is a unidirectional causality running from GDP to ecological footprint while bidirectional causality running between energy consumption and ecological footprint. The study identified that population growth in European region is not a severe issue as compared to intensive energy consumption. Policies which restrict emission, deforestation, and water pollution should be adopted for sustainability of environment.

This study examines the association between air pollution and economic growth based on the idea of environment Kuznets curve (EKC) hypothesis which suggests an inverted U-shaped link between air pollution and economic growth in six different regions including Latin America and the Caribbean, East Asia and the Pacific, Europe and Central Asia, South Asia, the Middle East and North Africa, and Sub-Saharan Africa over the period 2000 to 2018. This regional classification is done to investigate the regional differences of the EKC relationship for carbon emissions. Models based on panel data econometric models are employed to obtain empirical results. Random effect and fixed effect models are used in the present study. A multivariate framework is used in which carbon dioxide emission, per capita gross domestic product, trade openness, foreign direct investment, primary school enrollment, financial development indicator, and institutional quality that is measured by six indicators are included. The result is that the EKC hypothesis is supported in all the abovementioned regions except in the Sub-Saharan Africa region. Thus, the hypothesis that different regions have dissimilar EKC relationships is supported through the results of this research study.

This study explored the long-run association among greenhouse gases (GHGs), financial development, forest area, improved sanitation, renewable energy, urbanization, and trade in 24 lower middle-income countries from Asia, Europe, Africa, and America (South and North) by using panel data from 1990 to 2015. Granger causality was tested by Toda and Yamamoto approach. The bi-directional causality was established among urbanization and GHGs (Asia), financial development and forest (Asia), energy use and renewable energy (Asia), renewable energy and forest (Asia), improved sanitation and forest (Asia, Africa, America), urbanization and forest (Asia), and improved sanitation and financial development (Europe). The GHG emission also shows one-way causality is running from financial development to GHG (America), energy to GHG (Asia), renewable energy to GHG (America), forest area to GHG (America), trade openness to GHG (Africa), urbanization to GHG (Europe), GHG to financial development (Europe), GHG to energy use (Europe, Africa, and America), and GHG to trade openness (Asia). On the basis of fully modified ordinary least square and generalized method of moment, the reciprocal relationship of GHGs was observed due to financial development in Asia and Africa; renewable energy in all panels; forest area in Asia, Europe, and America; improved sanitation in Asia, Africa, and America; trade openness in Africa; and urbanization in Europe and America. Policymakers should concentrate on these variables for the reduction in GHGs. The annual convergence towards long-run equilibrium was 50.5, 31.9, and 20.9% for America, Asia, and Africa, respectively.

Since the European Union (EU)'s current goal of making its continent the world's first climate-neutral continent by 2050, the EU will need to set a path for new policies in the areas of Europe's economy, energy consumption, and agriculture. Thus, this paper analyzes the marginal impact of energy price and economic freedom on Europe's CO 2 emissions grounded on the extended Stochastic Impacts by Regression on Population, Affluence and Technology ecology (STIRPAT) model together with the spatial econometric models. The results indicate the existence of spatial spillover effect of CO 2 emissions among some countries in Europe. The Hausman test was also performed to select the best model between the random effects and the fixed effects. The findings suggest that increasing both economic freedom and energy price in a local country turns to reduce the country's own CO 2 emissions and also reduces the emissions of its adjacent countries. Comparing the direct effect of economic freedom and energy price to that of the SDM fixed effect, a feedback of 12.77% and 23.53% of the direct effect was observed, respectively. The results also indicated that the turning point of economic freedom and economic growth was 6.714 and thus 9.083. Overall, the study spotlighted some policy suggestions for the energy market for the European commission in reducing the emissions of CO 2 ., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Based on the panel data of 46 countries in "Belt and Road" (B&R) from 2004 to 2016, this paper studies the impact of innovation investment and institutional quality on green total factor productivity (GTFP). Firstly, the ICRG database, World Bank WDI database, Traditional Foundation database, and Wind database are matched to obtain the balanced panel data of 46 countries along the B&R from 2004 to 2016. Secondly, the Malmquist-Luenberger index, which can be included in the unexpected output, is used to calculate the GTFP of countries along B&R. Thirdly, the evaluation system of national institutional quality of B&R is constructed from three dimensions (political institutional quality, economic institutional quality, and legal institutional quality), and the overall system quality of different countries is measured by entropy method. Finally, an empirical study is made on the relationship among innovation investment, institutional quality, and green total factor productivity. The results show that innovation investment has significantly promoted the GTFP of the B&R countries. It is worth noting that there is a non-linear relationship between innovation investment and GTFP in the B&R countries. With the improvement of overall system quality, political system quality, economic system quality, and legal system quality, the promotion effect of innovation investment on GTFP is further enhanced. In addition, the heterogeneity regression results show that the impact of innovation investment on GTFP is significantly heterogeneous in different regions of the B&R countries. Specifically, innovation investment has the greatest impact on GTFP in South Asia, followed by East Asia and Pacific, Europe and Central Asia, Middle East, and North Africa., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper assesses the multiplexing efficiency of environmental taxes in ensuring environmental, energy, and economic security which is an integral part of sustainability in six European countries that are leaders in the Environmental Performance Index. This study aims to confirm the hypothesis that environmental taxes and payments could simultaneously affect changes in important environmental, energy, and economic security as well as sustainability parameters. Not all the previously selected taxes, which affect the parameters of all three areas of environmental, energy, and economic sustainability and security can ensure their simultaneous growth. Calculations made for the period 1994-2019 showed that in the system of environmental taxation of Denmark, five environmental taxes and fees provide an increase in the integrated level of environmental, economic, and energy security and sustainability; in Belgium, two environmental taxes are characterized by multiplex efficiency; in France, seven environmental taxes and payments; in Austria, four; in Finland, one; and in the UK, four. The paper's findings could create the basis for improving environmental taxation systems in the countries to increase comprehensive national security growth and ensure sustainable development path of the countries., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Recently, empirical studies revealed that democracy is positively associated with environmental quality through the freedom gained by the people to demand environmental protection. In this paper, we explore empirical evidence linking how environmental performance interacts with democracy to influence tourism demand in twenty-seven European countries. To achieve this objective, we use the method of moments quantile regression (MMQR) model by Machado and Silva (J Econ 213: 145-173, 2019) and a balanced panel data covering the period 2002 to 2014. The empirical results suggest that environmental performance interacts heterogenously with democracy at different quantiles of the conditional distribution to stimulate tourism demand. Also, the effect of an increase in income and environmental performance is stronger in countries with lower tourism market shares than in countries with higher tourism market shares. The major implication for this study is that countries with lesser shares of the tourism market should strive for higher environmental performance and economic development as this would grant them more advantage in the tourism sector than their counterparts with higher market shares.

Based on the premise of sustainable development of the environment, how to achieve the balance of energy utilization, economic development, and sustainable management of the environment is becoming increasingly important in the process of stable economic development. This paper analyzes the concept of environmental Kuznets curve, taking 35 European countries as the research objects, first discusses the trend of energy utilization efficiency from 1990 to 2013, and then analyzes the relationship between energy efficiency and economic development. Empirical results show that labor has a significant negative impact on energy efficiency and the increase in labor input will reduce energy efficiency. If the added value of national manufacturing accounts for a higher percentage in GDP, it will have a negative impact on the effectiveness of energy utilization. In addition, when the national price level is high, price fluctuation will increase the price of energy utilization, or the cost of energy input in economic activities, which will further reduce the country's energy efficiency performance. Lastly, the empirical study also found that energy efficiency and economic development showed a quadratic U-shaped relationship, indicating that the long-term energy efficiency of the country will first decline and then rise during economic activities.

In recent decades, climate change and environmental pollution have been at the center of global environmental debates. Nowadays, researchers have turned their attention to the linkage between real output and environmental quality and test the environmental Kuznets curve. Majority of the studies focus on a single pollutant aspect and measure the deterioration of the environment through carbon emission (CO 2 ) only. In contrary, the current study uses a comprehensive proxy, ecological footprint, to measure the environmental quality of the sixteen Central and Eastern European Countries (CEECs). The aim of this paper is to discover the impact of financial development, economic growth, and energy consumption (renewable and non-renewable) on the environment. In addition, for the first time, the current study includes biocapacity and human capital in the growth-energy-environment nexus in the case of CEECs. In doing so, we used annual data of sixteen CEE countries in perspective of the One Belt One Road (OBOR) initiative and cover the period of 1991-2014. For reliable findings, this study focuses on second-generation econometric approaches to check stationarity, cross-sectional dependency, and co-integration among the model parameters. The long-run estimations of the "Dynamic Seemingly Unrelated-co-integration Regression" (DSUR) signify that the effect of economic growth on ecological footprint is not stable and validate N-shaped relationship for cubic functional form between per capita income and ecological footprint (environmental quality). Empirical evidence divulges that financial development and energy use significantly contribute to environmental degradation while renewable energy improves environmental quality by declining ecological footprint significantly. Moreover, the significant effects of biocapacity and human capital are positive and negative on the ecological footprint, respectively. In robustness check through the "Feasible Generalized Least Square" (FGLS) and "Generalized Method of Moment" (GMM) models, we found consistent result. Lastly, the "Dumitrescu-Hurlin (D-H) Panel Causality Test" demonstrates that two-way causal relationship exists between EF and GDP, EF and FD, EF and EU, EF and BC, and EF and HC, while one-way causality is running from RE to EF. This study puts the present scenario of CEE economies in front of the policymakers and suggests that they should consider the vital role of renewable energy and human capital to get sustainability.