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The G-7 economies comprise a few of the global, mainly economically developed countries. On the other hand, in conjunction with these high economic development performances, the ecological behaviors in G-7 anions have concurrently provoked to elevate deep apprehensions among the stakeholders. Therefore, the present research aims to empirically investigate the environmental influences of nuclear energy, industrialization, fossil fuel energy, and foreign direct investment (FDI) in the G-7 nations between 1991 and 2018. After checking the cross-sectional dependency, this study employed the first-generation ((full modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS)) and second-generation (Driscoll and Kraay (D-K), feasible generalized least square (FGLS)) approaches for robust and reliable findings. The findings explore that nuclear energy production is ineffective in curbing the figure of ecological footprints in the long-run. Moreover, the industrialization process and fossil fuel energy consumption reduce environmental quality in the G-7 economies. More to the point, the empirical findings recommend that these nations can renovate their industrial production procedures in an eco-friendly behavior they can experience an unsoiled deployment of the energy transition. Similarly, the FDI also degrades environmental eminence in the long-run. This validates the pollution haven hypothesis in the G-7 countries. Based on these results, this study suggests the G-7 nations should reduce the production of nuclear energy levels, the transition from fossil fuels to renewable energy production in the industrial sector, reduce fossil fuel-based foreign investment, and assimilate ecological welfare strategies within their development planning.

Macro developments leading up to the 2008 crisis displayed an unprecedented degree of international synchronization. Before the crisis, all G7 countries experienced credit growth and, around the time of the Lehman bankruptcy, they all faced sharp and large contractions in both real and financial activity. Using a two-country model with financial frictions, we show that a global liquidity shortage induced by pessimistic self-fulfilling expectations can quantitatively generate patterns like those observed in the data. The model also suggests that crises are less frequent with more international financial integration but, when they hit, they are larger and more synchronized across countries.

The present study empirically investigates the tripartite impacts of renewable energy (RE), nonrenewable energy (NRE), and trade openness (TO) with the conditioning role of technology on environmental quality (CO 2 emission) for the G-7 countries (Canada, France, Germany, Japan, Italy, USA, and United Kingdom) for the period straddling 1990–2019. The empirical analyses are anchored on a set of estimation procedures including; cross-sectional dependence test, second generation panel unit root test, Westerlund cointegration test, Hausman test, and pooled mean group (PMG). The following results emanate from the findings. First, the presence of cross-sectional dependence and long-run relationships are confirmed for the countries. Second, RE significantly lessens the prevalence of carbon emissions across the estimated models. This further underscores the mitigating effects of RE on CO 2 emissions for the G-7 countries. Third, the impacts of NRE and TO are found to contribute to surge in CO 2 emissions. Fourth, the effects of technological progress captured by research and development (RD) and eco-innovation significantly reduce the stock of CO 2 emissions using both unconditional (single effect) and conditional (interactive effect) methods. Fifth, the existence of Environmental Kuznets Curve (EKC) receives empirical support for the G-7 countries. Other covariates such as foreign direct investment (FDI), Gross Fixed Capital Formation (GCFC), and service value-added (SVA) exert diverging impacts on CO 2 emissions. Sixth, the country-level analyses show the heterogeneous nature of the G-7 countries as evident from each country’s findings.

This study aims to demonstrate the impact of renewable energy consumption (REC) on environmental degradation using the EKC hypothesis testing for the BRIC and G-7 countries. Two EKC models were created and tested, with Model 2 including REC and other independent variables such as economic freedom (EF) and economic policy uncertainty (EPU), which affect the level of renewable energy consumption and CO2 emissions. Empirical findings indicate that the EKC hypothesis is verified faster in the REC-EF-EPU-based EKC model (Model 2) than in the EF-EPU-based EKC model (Model 1) for G-7 countries since the turning point takes place earlier in Model 2 than in Model 1 with REC. This suggests that renewable energy consumption accelerates the reduction of CO2 emissions. Moreover, this earlier turning point results in lower environmental cleaning costs, less time vesting, and saving resources and money for G-7 countries. However, the study found no evidence supporting the EKC hypothesis for the BRIC countries.

There are numerous studies on the nexus between technology and economic growth. However, the recent paradigm shift toward achieving green economic growth calls for divulging the important drivers of green growth to derive the salient policies for triggering the green growth process. In this context, the recent study claims green technologies (GT) as the crucial determinant of green economic growth (GG) and extends the prior literature by examining the dynamic effects of GT on GG for G-7 nations. To do so, the recent study relies on the two novel econometric methods of wavelet quantile correlation (WQC) and continuous wavelet transform causality (CWC) for robust findings. The WQC's results determine that the rise in the GT significantly triggers the GG of G7 economies. More specifically, with the exception of a few quantiles that show no significant effects of GT, Canada, Germany, Italy, and the United Kingdom enjoy significant benefits from GT across all quantiles. The remaining G-7 countries also benefit from GT, but a few quantiles show that GT has negative effects. Interestingly, the application of the CWC test supports the QWC's outcome, such that the CWC test confirms the causal nexus that runs from GT to GG for each economy. Based on the results, the study derives some salient policies for local and global authorities.

This study deals with the asymmetric effect of economic policy uncertainty and political stability on carbon dioxide (CO 2 ) emissions considering also energy consumption and economic growth. In this context, the study investigates G-7 countries, which make up an important part of the world economy. Also, the study uses yearly data between 1997 and 2021 as the most available intersection data for all countries included. Besides, this study applies a novel nonlinear approach as quantile-on-quantile regression (QQR) as the base model, and quantile regression (QR) is used for robustness. The empirical results present that (i) economic policy uncertainty has a decreasing effect on CO 2 emissions in Italy, Japan, and the United States of America (USA), whereas it has a mixed effect in Canada, France, Germany, and the United Kingdom (UK); (ii) political stability also has a mixed effect on CO 2 emissions; (iii) energy consumption has an accelerating effect on CO 2 emissions while the power of effect changes at quantiles; (iv) economic growth has generally an increasing effect on CO 2 emissions, whereas it has a decreasing effect at lower quantiles in Japan, at middle quantiles in France and Germany, and at higher quantiles in Italy; and (v) the QR results support the robustness of QQR findings. Thus, the empirical results highlight that G-7 countries should consider the asymmetric and quantile-based varying effects of the economic policy uncertainty, political stability, and economic growth to reach their carbon neutrality targets.

While public debt has risen in the last two decades, the return that it offers to investors has fallen, especially relative to the return on private investment. This creates a revenue for the government as the supplier of the special services offered by public bonds, which include storage of value, safety, liquidity, and reprieve from repression. The present value of this debt revenue is large relative to the stock of public debt, keeping it sustainable even as the present value of primary balances is zero or negative. It gives rise to different policy tradeoffs than the conventional analysis of primary balances and makes different recommendation on the effects of austerity, the optimal amount of debt, or the spillovers between monetary and fiscal policy.

PurposeThe study aims to empirically estimate the role of public supports for energy efficiency financing and presents the way forward to mitigate the energy financing barriers that incurred during the COVID-19 crisis.Design/methodology/approachUsing the G7 countries data, the study estimated the nexus between the constructs. Generalized method of moments (GMM) and conventional increasing-smoothing asymptotic of GMM are applied to justify the study findings. Wald econometric technique is also used to robust the results.FindingsThe study findings reported a consistent role of public support on energy efficiency financing indicators, during the COVID-19 crisis period. G7 countries raised funds around 17% through public supports for energy efficiency financing, and it raised 4% of per unit energy usage to GDP, accelerated 16% energy efficiency and 24% output of renewable energy sources, during COVID-19. By this, study findings warrant a maximum support from public offices, energy ministries and other allied departments for energy efficiency optimization.Practical implicationsThe study presents multiple policy implications to enhance energy efficiency through different alternative sources, such as, on-bill financing, direct energy efficiency grant, guaranteed financial contracts for energy efficiency and energy efficiency credit lines. If suggested policy recommendations are applied effectively, this holds the potential to diminish the influence of the COVID-19 crisis and can probably uplift the energy efficiency financing during structural crisis.Originality/valueThe originality of the recent study exists in a novel framework of study topicality. Despite growing literature, the empirical discussion in the field of energy efficiency financing and COVID-19 is still shattered and less studied, which is contributed by this study.

The present study aims to examine the effect of energy productivity, international trade, especially by treating exports and imports distinctly with technological innovation and gross domestic product on Consumption-based Carbon emissions for G-7 countries over the period of 1996-2017. This study employed cross-section dependence and slope heterogeneity for evaluating the order of unit root. The cross-sectionally augmented autoregressive distributed lags model (CS-ARDL) is used for evaluating long and short-run relationships among variables; and an augmented mean group and a common correlated mean group test to check for robustness. The findings confirm cointegration relationships with structural breaks (e.g., the 2001 mild recession; the 2008 global financial crisis; the 2011 stock market decline; and the 2014 exports decline in Italy, France, the United Kingdom and Japan) among consumption based carbon emission, energy productivity, exports, imports, gross domestic product, and technological innovation. Further, energy productivity, exports and technological innovation are inversely related to consumption based carbon emission while imports and gross domestic product are positively associated with consumption-based carbon emissions for G-7 countries. The findings recommend the promotion of technological innovation and cleaner production for curbing consumption-based carbon emissions.

In the postwar era, developed economies have experienced two substantial trends in the net capital share of aggregate income: a rise during the last several decades, which is well known, and a fall of comparable magnitude that continued until the 1970s, which is less well known. Overall, the net capital share has increased since 1948, but once disaggregated this increase turns out to come entirely from the housing sector: the contribution to net capital income from all other sectors has been zero or slightly negative, as the fall and rise have offset each other. Several influential accounts of the recent rise emphasize the role of increased capital accumulation, but this view is at odds with theory and evidence: it requires empirically improbable elasticities of substitution, and it presumes a correlation between the capital-income ratio and capital share that is not visible in the data. A more limited narrative that stresses scarcity and the increased cost of housing better fits the data.These results are clarified using a new, multisector model of factor shares.