Environmental control remains a salient aspect of states’ policies in the present decade. To reduce emissions, governments and central banks tend to adopt various strategies. The present research quantifies the nexus between fiscal and monetary policy, institutions’ quality, central bank characteristics, and carbon dioxide and greenhouse gas emissions. Data has been sourced from 95 countries during the period from 1998 to 2019. According to the empirical results, the main determinants of gas emissions in developing countries are economic growth, government expenses, and central bank independence, whereas, in developed countries, they are economic growth, government efficiency, and central bank transparency and independence. Economic growth is a significant deteriorating factor in the state of the environment. By contrast, institutional and bureaucratic quality, measured through government effectiveness and expansionary fiscal policies as well as central bank independence and transparency, are ameliorating factors, as they decrease emissions. To conclude, governments must first reduce control over central banks and target government spending on the energy transition.

We examine in this paper the importance of banks' behavior in the transmission of the monetary policy to the real economy. Monthly data from eight economies in transition that recently became members of the European Union and the techniques of cointegration and Error Correction models are used, in order to investigate the relationship between intermediation margin spread (IMS, official lending rate minus deposit rate) and industrial production. Given the low development of corporate bond market and the dependence of non-financial agents on banking credits, we find that in many countries the IMS is an important leading indicator of industrial production. However, in countries characterized by credit access constraints (Estonia and Latvia) evidence for the traditional money channel is found. Evidence for both money and credit channels is found in Poland and Hungary. These results imply that a common monetary policy implemented by the European Central Bank may be transmitted in different ways across the new members of the enlarged European Union with different effects on real output in each country.Monetary policy, transmission mechanism, credit channel, VAR/VEC models,

GDP, monetary variables, corruption, and uncertainty are crucial to energy policy decisions in today’s interrelated world. The global energy crisis, aggravated by rising energy prices, has sparked a thorough analysis of its causes. We demonstrate the significance of categorizing research by influence channels while focusing on their implications for energy policy decisions. We investigate the growing number of studies that use GDP, inflation, central banks’ characteristics, corruption, and uncertainty as critical factors in determining energy policies. Energy prices fluctuate because energy policies shift the supply–demand equilibrium. We categorise the effects and show that GDP, economic policy uncertainty, and, most notably, specific economic conditions and extreme events play a significant role in determining energy prices. We observed that energy consumption, GDP growth, and energy prices have a bidirectional, causal relationship. Still, the literature has not established which causative direction is the most significant. Taxes, interest rates, and corruption also significantly determine energy prices, although the origins of corruption have not been adequately examined. Lastly, uncertainty generally increases energy costs, but this relationship requires additional research in terms of the features of countries, conditions, and, most importantly, the theoretical backgrounds used.

Background: The presence of an electrocardiographic (ECG) strain pattern—among other ECG features—has been shown to be predictive of adverse cardiovascular outcomes in asymptomatic patients with aortic stenosis. However, data evaluating its impact on symptomatic patients undergoing TAVI are scarce. Therefore, we tried to investigate the prognostic impact of baseline ECG strain pattern on clinical outcomes after TAVI. Methods: A sub-group of patients of the randomized DIRECT (Pre-dilatation in Transcatheter Aortic Valve Implantation Trial) trial with severe aortic stenosis who underwent TAVI with a self-expanding valve in one single center were consecutively enrolled. Patients were categorized into two groups according to the presence of ECG strain. Left ventricular strain was defined as the presence of ≥1 mm convex ST-segment depression with asymmetrical T-wave inversion in leads V5 to V6 on the baseline 12-lead ECG. Patients were excluded if they had paced rhythm or left bundle branch block at baseline. Multivariate Cox proportional hazard regression models were generated to assess the impact on outcomes. The primary clinical endpoint was all-cause mortality at 1 year after TAVI. Results: Of the 119 patients screened, 5 patients were excluded due to left bundle branch block. Among the 114 included patients (mean age: 80.8 ± 7), 37 patients (32.5%) had strain pattern on pre-TAVI ECG, while 77 patients (67.5%) did not exhibit an ECG strain pattern. No differences in baseline characteristics were found between the two groups. At 1 year, seven patients reached the primary clinical endpoint, with patients in the strain group demonstrating significantly higher mortality in Kaplan–Meier plots compared to patients without left ventricular strain (five vs. two, log-rank p = 0.022). There was no difference between the strain and no strain group regarding the performance of pre-dilatation (21 vs. 33, chi-square p = 0.164). In the multivariate analysis, left ventricular strain was found to be an independent predictor of all-cause mortality after TAVI [Exp(B): 12.2, 95% Confidence Intervals (CI): 1.4–101.9]. Conclusion: Left ventricular ECG strain is an independent predictor of all-cause mortality after TAVI. Thus, baseline ECG characteristics may aid in risk-stratifying patients scheduled for TAVI.

In this paper, we examine the effect of central bank transparency on inflation persistence, using panel data analysis. The existing literature has shown a significant impact of central bank transparency on macroeconomic variables, such as inflation, but not many efforts have been made about its effect on inflation persistence. We use yearly data for 14 countries and the Eurozone (ECB). We find that monetary policy transparency has a negative statistically significant impact on inflation persistence, while controlling also for important variables such as GDP growth, interest rates, economic openness and unit labour cost.