Domestic Savings and the Driving Forces of Investment in the ECE Emerging Market Economies

This paper dicusses possible approaches for improving the mobilization of domestic resources for development in the ECE emerging market economies, focusing on the interrelationship between domestic saving, capital accumulation and economic growth.Transition economies, economic growth, savings, investment

Analysis of Development Performance Using a Development Index Based on Factor Analysis (Old Title- Constructing Multideminsional Indexes of Economic Structure and Development)

Development involves changes in social, economic and institutional structures. Quantifying development requires a large array of variables with different characteristics often highly correlated. A factor analysis approach using inferential decisions based on computed standard errors is proposed. The significant factors are used to construct sub-indexes of structural characteristics and a new development index (DI). The properties of DI are analysed and contrasted with more traditional measures, real per capita income (RIPC) and the Human Development Index (HDI). The methodology is applied to data on 45 variables for 97 countries for 1995-2004. DI is found to have stronger discriminating power.

The Determinants of Corruption in Transition Economies

This paper examines the determinants of corruption in transition economies.We found that the progress of structural reform, comprising marketization, rule of law, and democratization had a crucial impact on the extent of corruption control in former socialist countries.transition economies, corruption, marketization, rule of law, democratization

A validity and reliability study of the Attitudes toward Sustainable Development scale

This article describes the development and validation of the Attitudes toward Sustainable Development scale, a quantitative 20-item scale that measures Italian university students\u2019 attitudes toward sustainable development. A total of 484 undergraduate students completed the questionnaire. The validity and reliability of the scale was statistically tested by computing the KMO and Bartlett tests and via an exploratory factor analysis, descriptive statistics, Cronbach\u2019s alpha, a confirmatory factor analysis and a multi-group invariance testing. The results of the principal components factor analysis show that the scale consists of the following four dimensions, with five items in each: environment, economy, society and education. The overall structure and measurement of the scale are confirmed by the confirmatory factor analysis and by the multi-group invariance testing. Internal reliability, which was found using Cronbach\u2019s alpha, varies between .660 and .854. The results show that the instrument meets the validity and reliability criteria. To demonstrate its utility, the scale was applied to detect differences in sustainable development attitudes among students pursuing degrees in psychology and in agriculture. Relevant differences were detected for the dimensions of environment and society. The Attitudes toward Sustainable Development scale could be useful for understanding the ways in which students think about sustainability issues and could be used to investigate the relationship between sustainability attitudes and other variables

Could the ease of doing business be considered a predictor of countries' socio-economic wealth? An empirical analysis using pls-sem

The wealth of nations differs significantly due to different factors. One of the reasons identified by previous studies is the level of entrepreneurship promotion by governments. This aspect has scarcely been studied empirically to date. Therefore, this paper sheds some light on this regard through building a construct out of ten Ease of Doing Business Index (EDBI) measures developed by the World Bank and relating it with a construct shaped by two measures of socio-economic wealth (SEW), namely gross domestic product and the Human Development Index. To this end, we conduct a structural equation model analysis using partial least squares (PLS-SEM) method with a 2018 database comprising secondary data from 190 countries. As the main contribution of this study, the results show that good performance in the EDBI ranking predicts good performance in the SEW ranking. Additionally, this study is pioneer in the use of these rankings to build composite constructs (latent variables) and relate them. For these reasons, our findings are useful for both academia and governments responsible for promoting entrepreneurship, as this latter is identified as the key enabler of economic development

Special Libraries, December 1949

Volume 40, Issue 10https://scholarworks.sjsu.edu/sla_sl_1949/1009/thumbnail.jp

A new perspective on the competitiveness of nations

The capability of firms to survive and to have a competitive advantage in global markets depends on, amongst other things, the efficiency of public institutions, the excellence of educational, health and communications infrastructures, as well as on the political and economic stability of their home country. The measurement of competitiveness and strategy development is thus an important issue for policy-makers. Despite many attempts to provide objectivity in the development of measures of national competitiveness, there are inherently subjective judgments that involve, for example, how data sets are aggregated and importance weights are applied. Generally, either equal weighting is assumed in calculating a final index, or subjective weights are specified. The same problem also occurs in the subjective assignment of countries to different clusters. Developed as such, the value of these type indices may be questioned by users. The aim of this paper is to explore methodological transparency as a viable solution to problems created by existing aggregated indices. For this purpose, a methodology composed of three steps is proposed. To start, a hierarchical clustering analysis is used to assign countries to appropriate clusters. In current methods, country clustering is generally based on GDP. However, we suggest that GDP alone is insufficient for purposes of country clustering. In the proposed methodology, 178 criteria are used for this purpose. Next, relationships between the criteria and classification of the countries are determined using artificial neural networks (ANNs). ANN provides an objective method for determining the attribute/criteria weights, which are, for the most part, subjectively specified in existing methods. Finally, in our third step, the countries of interest are ranked based on weights generated in the previous step. Beyond the ranking of countries, the proposed methodology can also be used to identify those attributes that a given country should focus on in order to improve its position relative to other countries, i.e., to transition from its current cluster to the next higher one

Special Libraries, December 1949

Volume 40, Issue 10https://scholarworks.sjsu.edu/sla_sl_1949/1009/thumbnail.jp