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...

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...

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...

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....

This paper investigates the effect of energy consumption on countries’ economic efficiency. By using a sample of 18 EU countries for three census years (1980, 1990 and 2000) the paper employs conditional and unconditional robust nonparametric frontiers in order to establish such a...

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 study investigates the impact of oil price volatility (uncertainty) on the Stock Exchange of Thailand. Monthly data from May 1987 to December 2013 are applied to the two-stage procedure. In the first step, a bivariate generalized autoregressive conditional heteroskedastic (GARCH) model is...

This study investigates the impact of oil price volatility (uncertainty) on the Stock Exchange of Thailand. Monthly data from May 1987 to December 2013 are applied to the two-stage procedure. In the first step, a bivariate generalized autoregressive conditional heteroskedastic (GARCH) model is...

This study investigates the impact of oil price volatility (uncertainty) on the Stock Exchange of Thailand. Monthly data from May 1987 to December 2013 are applied to the two-stage procedure. In the first step, a bivariate generalized autoregressive conditional heteroskedastic (GARCH) model is...