Tracing the new economic geography of borders in Europe

Borders and border regions receive a special attention in the new post-1989 European architecture characterized by the processes of integration, transition and enlargement. What is actually happening to borders and border regions within this new environment? Are borders being abolished, weakened or are they being reproduced under a different pattern? What are the determinant factors which define the level and type of cross border interaction? This paper attempts to shed some light into the dynamics, perceptions and the new challenges concerning the “border phenomenon”. An empirical evidence is based on a survey at the Greek-Albanian-FYROM-Bulgarian border zone by analysing survey data. The survey, aims to evaluate a) the level and the type of cross-border interaction b) the obstacles and the limit of greater cross border interaction c) the existing perceptions and images of the other side of the borders d) the effectiveness of policies to stimulate interaction, e) the effects (positive and negative) of greater interaction on the border regions, f) the effects of EU enlargement on the c-b regions.

Detecting the Growth Pattern(s) of the EU Border Regions: A Convergence Clubs Approach.

The EU regions have been experiencing a period of unprecedented change. The ongoing (and parallel) processes of EU integration and enlargement have progressively transformed regional economies to integral parts of the emerging (European) socio-economic space, exposing them to the forces and the dynamics of a more competitive environment. Border regions, in particular, have been put in a state of flux since the re-(al)location of activities, opportunities and threats has changed over (the significance of) their role in the respective emerging (European) socio-economic map. Within the context of the aforementioned milieu, the paper aims at detecting and assessing growth determinants at the EU borderlands. This is an issue that has attracting increasing attention, especially after the creation of the Single European Market and the advent of the euro currency. However, the majority of border studies are enclaved in the “unitary case syndromeâ€Â, without providing substantial added value on border theory. Thus, the present study, following an interdisciplinary approach, compiles a spatial econometrics growth model, incorporating a series of inherent and acquired growth determinants (initial conditions). These determinants are not only quantitative (“hardâ€Â, “traditionalâ€Â) but also qualitative (“softâ€Â, “non-traditionalâ€Â), accentuating the complexity of border issues. The study area covers 349 EU NUTS III border regions, as they are specified by ESPON. The findings of the paper are going to provide valuable insight for the understanding of the determinants of growth in EU border regions, having important implications for both theory and policy-making.

Optimal privatization portfolios in the presence of arbitrary risk aversion

We consider the global portfolio of privatized state assets from 1985 to 2012 in the non-parametric decision-making context of Stochastic Dominance Efficiency for broad classes of investor preferences. We estimate all possible portfolios in the context of Strategic vs. non-Strategic and Cyclical vs. non-Cyclical asset allocations that dominate the market benchmark and provide a complete efficiency ranking. The optimal solutions are computed using linear and mixed integer programming formulations. Dominant portfolios tend to overweight non-Cyclical and non-Strategic assets, while rotation may take place across business cycles. Bayesian investment style return attribution analysis, based on Monte Carlo Integration, suggests that Growth drives returns during the first business cycle, rotating to a balanced mix of styles with Size and Debt Leverage during the second business cycle and finally to Size during the last business cycle. Value is found to be the least influential style in all periods

Stochastic dominance spanning and augmenting the human development index with institutional quality

The well-known Human Development Index (HDI) goes beyond a single measure of well-being as it is constructed as a composite index of achievements in education, income, and health dimensions. However, it is argued that the above dimensions do not reflect the overall well-being, and new indicators should be included in its construction. This paper uses stochastic dominance spanning to test the inclusion of additional institutional quality (governance) dimensions to the HDI, and we examine whether the augmentation of the original set of welfare dimensions by an additional component leads to distributional welfare gains or losses or neither. We find that differently constructed indicators of the same institutional quality measure produce different distributions of well-being. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10479-022-04656-w

A new country risk index for emerging markets: A stochastic dominance approach

An optimal weighting scheme is proposed to construct economic, political and financial risk indices in emerging markets using an approach that relies on consistent tests for stochastic dominance efficiency. These tests are considered for a given risk index with respect to all possible indices constructed from a set of individual risk factors. The test statistics and the estimators are computed using mixed integer programming methods. We derive an economic, political and financial risk ranking of emerging countries. Finally, an overall risk index is constructed. One main result is that the financial risk is the leading contributor to sovereign risk in emerging markets followed by the economic and political risk