• Energy Research

This paper reanalyzes the determinants of the CO2 emissions in France. For this purpose, it considers the unit root test with two structural breaks and a dynamic ordinary least squares estimation. The paper also considers the effects of the energy consumption and the economic complexity on CO2 emissions. First, it is observed that the EKC hypothesis is valid in France. Second, the positive effect of the energy consumption on CO2 emissions is obtained. Third, it is observed that a higher economic complexity suppresses the level of CO2 emissions in the long run. The findings imply noteworthy environmental policy implications to decrease the level of CO2 emissions in France.

Currently, global warming and air pollution are the world's most urgent issues partly caused by carbon dioxide (CO2) and sulfur dioxide (SO2) emissions, and prompt actions are needed to address these global concerns. Sustainable development cannot be attained until we reverse the negative impact of economic factors on the quality of the environment. It is noteworthy to offer a new indication on whether and how the empirical liaison between product diversification and environmental degradation evolved in China from 2008 to 2019. Product diversification (PD) is a remedy for reducing environmental degradation (ED). It is a crucial component of energy demand, which a significant impact on reducing energy consumption and ED. The purpose of this study is to investigate the impact of PD on ED in China using the provincial panel dataset. Employing the fixed effects-Driscoll-Kraay standard errors (FE-DKSE) and feasible generalized least squares (FGLS) methods, we discover an inverted U-shaped link between PD and ED. The control variable urbanization (URB) and technological innovation (TI) reduce ED significantly. However, industry value added (IVA) and energy consumption (EC) promote ED. Our results are robust with the addition of various controls in all models. The policy implication from our findings is that, to achieve a target of carbon neutrality, countries should adopt the product diversification strategy.

This research attempts to explore the scale (trade openness), composition (export concentration) and technique effect (economic complexity) of international trade on energy use in the sample of G7 nations over the period 1970 and 2020 separately. To do that, we build up three empirical models based on the regression on population, affluence and technology approach. The analysis outcomes indicated a positive long-run link between per capita income, urbanization, trade openness, export concentration, economic complexity and energy use across the three models. The outcomes obtained from long-run estimations provide evidence that economic complexity and export concentration decreases energy consumption. Besides, empirical findings show that trade openness boosts energy use. Based on the detailed empirical research, the direction for the policy is that they should harness more strength on energy conservation by increasing the composition and technical effects of international trade. They should also focus on improving the countries’ economic freedom (trade openness) while maintaining energy consumption at a lower rate.

AbstractEnergy is pivotal for sustainable economic growth. Undoubtedly, the role of the composition of the export basket (measured as economic complexity) is one of the crucial variables influencing energy consumption. Despite its importance, the existing body of literature does not intensively study the relationship between economic complexity and total energy consumption. Therefore, this study's primary aim was to examine the effect of economic complexity on energy consumption in a case study of 21 developed and 44 developing countries for the period 1971–2014. In this context, economic complexity expresses the level of sophistication of a country's export basket. This paper considers energy prices and income as explanatory variables in Durbin‐H panel cointegration analysis and applies a cointegration test with structural breaks to check for the long‐run relationships. For the long‐run estimations, we employ the augmented mean group method and dynamic seemingly unrelated regression. The findings reveal that economic complexity increases energy consumption in developing countries while it decreases energy consumption in developed countries. This is an important insight for countries concerned about their energy dependence. The diversification of their production and export baskets can reduce energy needs. The paper finally presents policy recommendations based on the empirical estimates.

Abstract This study examines the effect of import product diversification and renewable energy consumption on CO2 emissions across a panel of 35 developed and 93 developing economies. The empirical models utilize an environmental theoretical framework and yearly data for 1995–2014. The study makes use of common correlated effects—specifically mean group (CCE-MG) and augmented mean group (AMG) estimators. The overall results suggest that import product diversification has a substantial negative and positive impact on the carbon emissions of developed and developing economies, respectively. This study also finds that increasing renewable energy consumption helps to meet climate change targets by reducing carbon emissions. Thus, import product diversification and renewable energy could play an indispensable role in reducing carbon emissions in developed economies; while renewable energy is the only factor that assists developing economies meet their emission reduction targets at this stage.

This study is among the first attempts to examine the effect of economic complexity as an indicator of sophisticated and knowledge-based production structures on CO2 emissions for 55 countries over the period of 1971-2014. The countries considered fall into three different income groups, namely high income, higher middle income, and lower middle income. The study employs the panel quantile regression methodology and tests the existence of the environmental Kuznets curve (EKC) hypothesis by including economic complexity and other control variables such as energy consumption, urbanization, and trade openness in its model. The results show that economic complexity has significant impacts on the environment. Based on the analysis, economic complexity has increased the environmental degradation in lower and higher middle-income countries, and has controlled CO2 emissions in high-income countries. Since economic complexity plays a significant role in environmental damage, it is crucial for low- and middle-income countries to adjust their current industrial and production policies to promote economic growth and at the same time protect the environment.

Global warming is a serious problem facing the world today. To minimize it, scholars are trying to find the reasons behind increasing CO2 emissions. This study examines the effects of overall export product diversification, extensive margin, and intensive margin on CO2 emissions as indicators of environmental degradation in 84 developing countries for the period of 1971-2014 in the context of the environmental Kuznets curve (EKC) hypothesis using three estimators, namely, autoregressive distributed lag (ARDL) bounds test, dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS). The empirical findings reveal that EKC hypothesis is valid. The overall empirical findings from various approaches show that overall diversification, extensive margin, and intensive margin have a positive and significant effect on CO2 emissions.

In recent literature, scholars discussed the role of export diversification in environmental quality. However, most studies analyzed the role of export diversification in influencing carbon dioxide emissions with mixed results. However, since carbon dioxide emissions specifically capture the environmental effects of energy utilization, a change in the level of carbon dioxide emissions cannot be regarded as a comprehensive measure of environmental deterioration. Also, many previous studies use the original form of the Theil index to measure export diversification, and during the interpretation of the results, they disregard the fact that the lower value of the Theil index indicates higher diversification and vice versa. In this context, to address these gaps in the literature, a study on the contribution of export diversification in ecological footprint is necessary to understand the ecological impacts of export diversification. Therefore, this study analyzes the contribution of export diversification in ecological footprint covering the period between 1965 and 2017 using the STIRPAT model in the context of India which is required to fulfill the demands for resources of over 1.3 billion people. The study relied on the environmental Kuznets curve hypothesis framework to understand the role of export diversification in ensuring environmental sustainability. Using the newly developed Augmented ARDL test, the study established that variables of interest are cointegrated. In the long-run estimation, export diversification reduces the ecological footprint of India and helps establish the inverted-U-shaped nexus between ecological footprint and economic growth. Thus, the environmental Kuznets curve hypothesis was evidenced to hold for India. This important finding divulges that India can control the level of environmental footprints, and therefore decrease environmental degradation by continuously increasing export product diversification. Also, India is on the right path to achieve a reduction in ecological footprint associated with more development when accounting for export diversification in the model. Moreover, energy intensity boosts environmental deterioration, while population density reduces it. Finally, the study discusses strategies to achieve environmental sustainability through increasing export diversification.