By using conditional directional distance functions this paper investigates the effect of regional economic growth on regions’ environmental efficiency in greenhouse gas emissions. A sample of ninety eight regions (NUTS 2 level) from Germany, France and the U.K. has been used and regional...

This paper proposes a conditional directional distance function model in order to examine the link between regional environmental efficiency and GDP per capita levels. As an illustrative example we apply our model to USA regional data revealing an inverted ‘U’ shape relationship between...

This paper uses a sample of 36 countries for the time period 1990-2011 in order to examine the relationship between countries’ electricity consumption from renewable sources and Gross Domestic Product (GDP) levels. Several nonparametric techniques are applied to investigate the effect of...

As observed at least in last two decades, financial engineering has not only changed the way of doing business in finance world, but also has changed daily life of average citizens in the leading economies. Structured products named as weapons of mass destruction in some post-crisis comments....

Global financial crisis, arising from real estate and finance sectors, has caused extra ordinary costs for the world economy. Problems in the public management model of the US finance and real estate sectors would be accepted as one of the important reasons of the financial failures in the US...

This paper by applying nonparametric techniques measures spatial environmental heterogeneities of 98 regions from Germany, France and the UK. Specifically environmental performance indexes are constructed for the 98 regions (NUTS 2 level) identifying their ability to produce higher growth rates...

Using time series data, this paper investigates China’s carbon emissions during 1960-2006, with particular focus on the direct role of growth and in connection to trade and the value added by various sectors like agriculture, industry and services. Our empirical results indicate the presence...

By applying conditional and unconditional data envelopment analysis (DEA) models along side with statistical inference using bootstrap techniques; this paper investigates the link between China’s carbon dioxide emissions (CO2) environmental efficiency and its economic growth (measured in GNI...

This study examines both short-run and long-run causal relationship between stock market capitalization, trade openness and economic growth in Thailand. Quarterly data over the period from the first quarter of 1993 to the fourth quarter of 2013 are used in the analysis. The results from this...

This paper investigates the causal relationship between electricity consumption and real GDP by applying the bounds testing for cointegration in a multivariate framework. The error correction mechanism is employed to detect causal relationship in the presence of cointegration among three...