Regional Employment in Greece by means of Cluster Analysis

This article attempts to group the regions of Greece into clusters with similar characteristics, by means of Cluster Analysis. The results demonstrate that the thirteen regions of Greece can be grouped in four major clusters, which are, in general terms, consistent with the findings of another research

Clustering Analysis Methodology for employment and Regional Planning in Greece

he Clustering Analysis Methodology is used for employment and Regional Planning in Greece. The thirteen regional departments of Greece are assembled into clusters presenting similar employment characteristics. The results of this study confirm those obtained by a previous study using an alternative methodology

The Determinants of Investment Activity in Greece (1960-’99)

The present paper examines the determinants of investment activity in Greece over the period 1960-1999. It describes briefly the investment activity in Greece and then tests for the factors that presumably influence this investment activity. The paper uses a multiple linear regression model incorporating various factors that presumably influence investment activity in Greece, based on theoretical as well as on empirical evidence. The results confirm the anticipated positive relationship between investment and output, investment and profitability, and the anticipated negative relationship between investment and interest rate. Also, the first oil crisis and the incorporation of Greece in the wider EU financial area in 1992 seem to have influenced investment activity. Finally, the paper estimates investment elasticities with respect to the various factors, and makes some comments concerning the encouragement of investment activity in Greece

Growth, Technological Change and Output Gap in Russia

The present paper uses the “growth accounting” methodology to estimate technological change, in an attempt to formulate an explanation of Russia’s economic decline and signs of recovery in the 1992-1999 time span, in relation to technological change. Also, the potential output and output gap is estimated using a Cobb Douglas production function and a Hodrick-Prescott filter for the Russian Economy before 2000. The results do show that, despite the general economic collapse during the 1990s, rooted in the Soviet economy’s very structure, the level of technology has, practically, remained unchanged which, in turn, prevented the Russian Economy from further deteriorating. Meanwhile, the relationship between output gap and inflation is briefly examined and the results suggest that output gap is sufficient to explain the largest part of inflation in the Russian economy. As a final conclusion, technological progress and, consequently, long-term economic growth is linked to Russia’s political and structural development

The Determinants of Investment Activity in Greece (1960-’99)

The present paper examines the determinants of investment activity in Greece over the period 1960-1999. It describes briefly the investment activity in Greece and then tests for the factors that presumably influence this investment activity. The paper uses a multiple linear regression model incorporating various factors that presumably influence investment activity in Greece, based on theoretical as well as on empirical evidence. The results confirm the anticipated positive relationship between investment and output, investment and profitability, and the anticipated negative relationship between investment and interest rate. Also, the first oil crisis and the incorporation of Greece in the wider EU financial area in 1992 seem to have influenced investment activity. Finally, the paper estimates investment elasticities with respect to the various factors, and makes some comments concerning the encouragement of investment activity in Greece

Growth, Technological Change and Output Gap in Russia

The present paper uses the “growth accounting” methodology to estimate technological change, in an attempt to formulate an explanation of Russia’s economic decline and signs of recovery in the 1992-1999 time span, in relation to technological change. Also, the potential output and output gap is estimated using a Cobb Douglas production function and a Hodrick-Prescott filter for the Russian Economy before 2000. The results do show that, despite the general economic collapse during the 1990s, rooted in the Soviet economy’s very structure, the level of technology has, practically, remained unchanged which, in turn, prevented the Russian Economy from further deteriorating. Meanwhile, the relationship between output gap and inflation is briefly examined and the results suggest that output gap is sufficient to explain the largest part of inflation in the Russian economy. As a final conclusion, technological progress and, consequently, long-term economic growth is linked to Russia’s political and structural development

The Determinants of Investment Activity in Greece (1960-’99)

The present paper examines the determinants of investment activity in Greece over the period 1960-1999. It describes briefly the investment activity in Greece and then tests for the factors that presumably influence this investment activity. The paper uses a multiple linear regression model incorporating various factors that presumably influence investment activity in Greece, based on theoretical as well as on empirical evidence. The results confirm the anticipated positive relationship between investment and output, investment and profitability, and the anticipated negative relationship between investment and interest rate. Also, the first oil crisis and the incorporation of Greece in the wider EU financial area in 1992 seem to have influenced investment activity. Finally, the paper estimates investment elasticities with respect to the various factors, and makes some comments concerning the encouragement of investment activity in Greece

The Shark Assemblage at French Frigate Shoals Atoll, Hawai‘i: Species Composition, Abundance and Habitat Use

Empirical data on the abundance and habitat preferences of coral reef top predators are needed to evaluate their ecological impacts and guide management decisions. We used longline surveys to quantify the shark assemblage at French Frigate Shoals (FFS) atoll from May to August 2009. Fishing effort consisted of 189 longline sets totaling 6,862 hook hours of soak time. A total of 221 sharks from 7 species were captured, among which Galapagos (Carcharhinus galapagensis, 36.2%), gray reef (Carcharhinus amblyrhynchos, 25.8%) and tiger (Galeocerdo cuvier, 20.4%) sharks were numerically dominant. A lack of blacktip reef sharks (Carcharhinus melanopterus) distinguished the FFS shark assemblage from those at many other atolls in the Indo-Pacific. Compared to prior underwater visual survey estimates, longline methods more accurately represented species abundance and composition for the majority of shark species. Sharks were significantly less abundant in the shallow lagoon than adjacent habitats. Recaptures of Galapagos sharks provided the first empirical estimate of population size for any Galapagos shark population. The overall recapture rate was 5.4%. Multiple closed population models were evaluated, with Chao Mh ranking best in model performance and yielding a population estimate of 668 sharks with 95% confidence intervals ranging from 289–1720. Low shark abundance in the shallow lagoon habitats suggests removal of a small number of sharks from the immediate vicinity of lagoonal islets may reduce short-term predation on endangered monk seal (Monachus schauinslandi) pups, but considerable fishing effort would be required to catch even a small number of sharks. Additional data on long-term movements and habitat use of sharks at FFS are required to better assess the likely ecological impacts of shark culling