• Energy Research

In the last decade, environment protection gained much more significance in designing the economic policies in the European Union (EU) countries. There are many economic and policy differences between the European countries, despite of the harmonization process inside the EU area. The path of implementation of the environmental tax reforms in the EU countries differs greatly from one country to another and the effects of such taxation in the economic and environmental areas are manifold. The authors of this paper have agreed to undertake the task of testing the double dividend hypothesis of the environmental taxation in Romania (an energy-intensive country) versus the EU area as a whole, using Vector Error Correction Model (VECM) techniques and Ordinary Least Squares (OLS) estimations. Our findings show that this hypothesis is validated neither in Romania (in the economic growth area) nor in the EU area as a whole (in the unemployment area). Therefore, Romania cannot increase the level of the environmental tax for supporting economic growth, but it can grant environmental subsidies for decreasing the emissions and supporting the economic growth. This could be achieved by expanding the tax labor base and by collecting higher budgetary revenues to sustain such environmental subsidies. As far as the EU area is concerned, it is a necessary measure to continue the descending trend for the labor taxation to achieve the goal of improving the employment rate.

In this paper we examined the interaction between greenhouse gas emissions, nuclear energy, coal energy, urban agglomeration, and economic growth in Pakistan by utilizing time series data during 1972–2019. The stationarity of the variables was tested through unit root tests, while the ARDL (autoregressive distributed lag) method with long and short-run estimations was applied to reveal the linkages between variables. A unidirectional association between all variables was revealed by performing a Granger causality test under the vector error correction model (VECM) that was extracted during the short-run estimate. Furthermore, the stepwise least squares technique was also utilized to check the robustness of the variables. The findings of long-run estimations showed that GHG emissions, coal energy, and urban agglomeration have an adversative association with economic growth in Pakistan, while nuclear energy showed a dynamic association with the economic growth. The outcomes of short-run estimations also show that nuclear energy has a constructive association with economic growth, while the remaining variables exposed an adversative linkage to economic growth in Pakistan. Similarly, the Granger causality test under the vector error correction model (VECM) outcomes exposes that all variables have unidirectional association. Furthermore, the outcomes of the stepwise least squares technique reveals that GHG emissions and coal energy have an adverse association with economic growth, and variables nuclear energy and urban agglomeration have a productive linkage to the economic growth in Pakistan. GHG emissions are no doubt an emerging issue globally; therefore, conservative policies and financial support are needed to tackle this issue. Despite the fact that Pakistan contributes less to greenhouse gas emissions than industrialized countries, the government must implement new policies to address this problem in order to contribute to environmental sustainability while also enhancing economic development.

This research aims to examine the direct impact of green innovation strategies and the green dynamic capability on green innovation. The indirect effect is also tested, using green organizational identity as a mediator. A cross-sectional and quantitative research approach was used to collect data from energy firms. The results show that green innovation strategies and green dynamic capabilities positively affect the green innovation. The findings also proved that a green organizational identity acts as a mediator. The research outcomes suggest that the role of green organizational identity needs to be verified by firm managers who want to boost green innovation. In the advance era, society is more conscious about the green environment. Managers need a green innovation strategy to achieve green innovation within their firm. This study will help to manage the environmental issues, environmental degradation reductions, and establishment of green programs and products, which will all benefit society in the terms of improving resource efficiency, enhancing quality of life, and encouraging economic development.

The present research aims to find how firms achieve innovation performance through innovation networks. This study also explores the mediating role of digital innovation and the moderating role of frugal innovation. Quantitative research design is used for data collection and analysis. To analyze the study’s hypotheses we select the energy firms which aim to attain innovation performance. An indirect effect with Soble test was used to check mediation analysis. The results proved that the innovation performance of energy firms is predicted by innovation networks. Our findings proved that digital innovation acts as a mediator between innovation networks and innovation performance links. Our results also show that frugal innovation strengthens the interplay between innovation networks and innovation performance links. This study highlights how energy firms can stabilize innovation performance through the combined influence of innovation networks, digital innovation and frugal innovation. The managers of energy firms should prefer innovation networks to update their knowledge about the upcoming/latest procedures to achieve innovation performance. Moreover, the role of digital innovation in the current digital world is also very important, and the present study used it as mediator.

This study aims to examine the congruence of trade openness with regards to encouraging pervasive usage of green energy sources and the nexus among environmental degradation, economic development, oil prices, and green energy consumption (GEC). The study utilizes advanced panel data techniques, including the Westerlund cointegration test, Augmented Mean Group (AMG) estimator, Pooled Mean Group (PMG) estimator, and the Dumitrescu and Hurlin (DH) causality test, to examine the aforementioned relationships. The findings of the AMG and PMG estimators indicate that environmental degradation has a negative impact on GEC, whereas oil prices and economic development have a positive effect on GEC.

This study aims to examine the impact of coal energy consumption on the economic progress in Pakistan by using annual time series data during 1972–2019. Three-unit root tests were employed to rectify the variables’ stationarity. The quantile regression approach with the extension of cointegration regression test was utilized to check the variables interaction with the economic progress. The outcomes of the quantile regression uncover that coal energy consumption in power sector and coal energy consumption in brick kilns have adverse influence to the economic progress, while total coal energy consumption has a productive association with the economic progress. Similarly, the findings of cointegration regression analysis uncover that via FMOLS (Fully Modified Least Squares) and DOLS (Dynamic Least Squares) that variables coal energy consumption in power sector and brick kilns have an adverse connection with the economic progress, while total coal energy consumption uncover a productive linkage to the economic progress in Pakistan. Pakistan is still facing a deep energy crisis because of the lack of energy production from cheap sources. New possible policies are required in this direction to improve the energy sector by paying more attention to the alternative energy sources to foster the economic progress.

The Europe 2020 strategy is the EU strategy for sustainable and inclusive growth, for fighting the structural weaknesses of the European economies, and for improving their competitiveness. In this paper, we determined the most important ratios of the Europe 2020 Strategy impacting on economic performance expressed as the growth of the GDP per capita, and on economic competitiveness expressed as the share of the countries’ exports in total world exports for some selected Central and Eastern European (CEE) countries (Poland, Slovakia, Bulgaria, Hungary, the Czech Republic, and Romania) using co-integration tests and OLS panel estimations with a dataset between 2004 (after four of these selected countries acceded to EU) and 2015 (the latest available data for all the ratios we used in our analysis). Our findings show that the tertiary level of education is the most important factor, positively correlated with both endogenous variables mentioned above. Other important factors for achieving the economic performance and competitiveness goals are the school dropout ratio, the share of renewable energy in final energy consumption, and the employment rate.

Abstract The world today presents significant environmental concerns for humans, such as smog and warmer temperatures, but we also need to think about how to accomplish economic growth that is sustainable. Therefore, this exploration researches the asymmetric effect of renewable energy consumption, economic growth and financial development on carbon emanation in the emerging economies. For this reason, this investigation uses Panel ARDL and PMG estimator. The consequences of PMG estimator demonstrate that information and communication technologies reduce the carbon emanations in the sample region. Additionally, renewable energy consumption also impedes the carbon emanations. The results also suggest that financial development additionally builds the carbon emissions but the impact is very minor. Finally, economic growth and population are also contributing toward carbon emissions. The power effective recommendation is vital to present the ICT assistance to confine the utilization of obsolete machinery for power generation.