The main objective of this study is to identify livelihood strategies of fishing households in response to prevalent vulnerabilities they face within the Volta Basin. Questionnaires were administered to fishery households in the Basin using the multistage sampling technique. A non-hierarchical...

The purpose of this study is to examine the development of Italian tourist areas (circoscrizioni turistiche) through a cluster analysis of short time series. The technique is an adaptation of the functional data analysis approach developed by Abraham et al (2003), which combines spline...

It is sometimes argued that nations differ in their underlying entrepreneurial spirit. So, in recent years, more researchers started being interested in the analysis of entrepreneurship across regions. Associated with entrepreneurship comes the concept of innovation. Innovation allows the...

The aim of this study is to evaluate the effect of broadband on the GDP taking into account regional differences. This is done by using the econometric model of panel data based on database of 5564 municipalities from 2007 to 2014. In order to incorporate the regional differences we use...

The K-Means and Ward’s Clustering procedures were used to categorize value similarities among respondents of a public land management survey. The clustering procedures resulted in two respondent groupings: an anthropocentrically focused group and an ecocentrically focused group. While previous...

The classification procedure based on the K-means method with an unknown number of classes first proposed by professor Sergey Aivazian is designed and investigated in the article. The adaptive Mahalanobis metrics and dynamically computed measures of observation anomaly and class homogeneity are...