This paper aims to investigate the determinants of nonperforming loans in the Romanian banking sector by means of time series modelling. It is motivated by the hypothesis that macroeconomic-cyclical indicators, monetary aggregates, interest rates, financial markets, and bank-specific variables influence the nonperforming loans in the Romanian banking system. Using monthly series that span from December 2001 to November 2010, we cover both the booming period and the recent financial crisis. Given the significant presence of the Greek banks in Romania, the novelty of the paper lies in the introduction of variables that proxy the Greek crisis. Thus, we examine the existence of a potential transmission channel to the Romanian banking system by investigating the impact of the Greek crisis to the Romanian nonperforming loans. Our findings indicate that macroeconomic variables, specifically the construction and investment expenditure, the inflation and the unemployment rate, and the country's external debt to GDP and M2 jointly with Greek crisis-specific variables influence the credit risk of the Romanian banking system. The results have several implications for policymakers, regulators, and managers as the most recent published stress tests on the Romanian banking system are based on end 2008 data.
Over the last 30 years there has been an impressive amount of empirical work on the defence-growth nexus, using different methodologies, models and econometric techniques and focusing on individual case studies, cross-country studies or panel data studies. Despite the number and the variety of studies, the evidence on the defencegrowth relationship is still far from conclusive. Rather surprisingly, very limited work has been published in the relevant literature for the European Union despite the continuous discussions for a Common European Defence Policy that would require an assessment of the economic effects of defence in this region. To fill in the gap in the literature, this paper employs an augmented Solow-Swan model and estimates it both with panel and time series methods to provide empirical evidence on the economic effects of defence spending in the EU15 over the period 1961-2007. Overall, evidence derived from both panel and time series methods is consistent and suggests that military burden does not promote economic growth in this region.
There are a number of studies which consider the relation between military spending and economic growth using Granger causality techniques rather than a well-defined economic model. Some have used samples of groups of countries, finding no consistent results. Others have focused on case studies of individual countries, which has the advantage of the researchers bringing to bear much more data than the cross country samples and a greater knowledge of the structure of the economy and the budget. This paper adds to the literature by providing an analysis of two countries, Greece and Turkey, which are particularly interesting case studies given their high military burdens, the poor relations between the two and the resulting arms race in the area. In addition to analysing the data using standard "pre-cointegration" Granger causality techniques, this paper employs modern vector autoregressive (VAR) methodology that utilises cointegration via Granger's representation theorem. The standard Granger causality tests suggest a positive effect of changing military burden on growth for Greece, but this is not sustained when the cointegration between output and military burden is taken into account. The only evidence of significant Granger causality is a negative impact of military burden on growth in Turkey.
THE ECONOMIC EFFECTS OF MILITARY spending have been debated over a number of years. Since Benoit ( 1973) suggested that military expenditure had a positive impact on development, a large body of empirical literature has developed, looking at cross country studies and time series case studies of individual economies, without achieving any clear consensus. The results do suggest that military expenditure has a negative impact on growth in advanced economies through it being at the expense of investment, but there is no evidence of a significant effect for developing economies.
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