Productivity growth and inflation in Europe: Evidence from panel cointegration tests

In this paper we investigate the productivity growth – inflation nexus in fifteen European countries over the period 1961–1999 using panel unit root and panel cointegration tests. Emphasis is placed on the distinction between long-run and short-run causality using recently developed tests appropriate for heterogeneous panel. The empirical results are relevant for the role of the EMU and the Treaty of Maastricht in catching up, real convergence, and the future growth prospects of Europe. The policy implications of the findings are discussed in detail.     

The chief executive officer as corporate champion of technological innovation: aii empirical investigation

Research on innovation has engoged the attention of many scientific disciplines over the past few decades. But while some categories of determining factors (mainly organizational and environmental) are at the centre of this research, others, such as the role and significance of strategic leadership, seem to have received much less empirical attention. Using evidence from a sample of 97 manufacturing enterprises, the present study tests a model of the impact of strategic leadership and corporate context on technological innovatin (TT). The personality and demographic characteristics of chief executive officers (CEis') are used to measure strategic leadership. A number of environmental and internal organizational variables measure the broader context. Four dimensions of TI are measured. Results suggest that CEO characteristics significantly influence TI, but the structural and environmental context is on aggregate more influential. Interestingly though, in new product introductions, CEIs' characteristics outweight environmental and internal organizational factors.     

On Regional Unemployment: An Empirical Examination of the Determinants of Geographical Differentials in the UK

In this paper we consider the determinants of regional disparities in unemployment rates for the UK regions at NUTS‐II level. We use a mixture panel data model to describe unemployment differentials between heterogeneous groups of regions. The results indicate the existence of two clusters of regions in the UK economy, characterized by high and low unemployment rates, respectively. A major source of heterogeneity appears to be caused by the varying effect (between the two clusters) of the share of employment in the service sector, and we trace its origin to the fact that the high unemployment cluster is characterized by a higher degree of urbanization.     

Resources,home institutional context and SMEs’ exporting: Direct relationships and contingency effects

Research highlights the role of resources in SMEs’ exporting but is less forthcoming with respect to entrepreneurial perceptions of home institutional quality. Drawing on institution-based lenses, we distinguish among formal, informal, and regulatory institutions, which in concert with firm resources are expected to influence SMEs’ export behavior. Our predictions are tested on a sample of 150 firms located in Greece. The analysis of direct relationships shows that formal and informal institutional dimensions affect significantly, but differently, SMEs’ export activity. The analysis of interaction effects demonstrates that resource decisions for exporting are contingent upon entrepreneurial perceptions of the home institutional context, such that SMEs respond to formal and informal domestic institutional weaknesses by intensifying resource allocations to fuel export sales. In an opposite direction, export regulatory complexity reverses the positive resources-exporting link. These findings suggest the importance of home institutions in the exporting field.     

Network modeling approaches for calculating wholesale NGA prices: A full comparison based on the Greek fixed broadband market

According to the European Commission Recommendation for setting copper and fiber wholesale prices where cost orientation is imposed as a remedy, National Regulatory Authorities (NRAs) should adopt a Bottom-UP Long-Run Incremental Cost Plus (BU LRIC+) costing methodology that estimates the current cost that a hypothetical efficient operator would incur to build a modern efficient Next Generation Access (NGA) network. The starting point of modeling an efficient operator investing in NGA networks is the network modeling approach. In this paper, we compare the most widely adopted network modeling approaches in terms of wholesale fiber-to-the-home (FTTH) prices. In particular, the modified scorched node approach is compared to the extreme cases of the scorched node and the scorched earth approaches. The comparison between the aforementioned scenarios sheds light on the impact of each approach on the wholesale FTTH prices. The main finding of this paper is that the scorched earth approach leads to a maximum of 10% reduction in the short-term access prices compared to the most inefficient scorched node approach, whereas further extending its optimizations by optimizing the number of central offices, both the short-term and long-term wholesale price reductions are quite significant (more than 20%) regardless of service speeds. Consequently, NRAs should consider a geographically differentiated modeling approach when regulating the wholesale market by adjusting the level of scorching in each area and network segment according to the investment plans of telecom operators. An appropriate variation of the modeled network operator's efficiency is expected to more accurately represent the costs of a reasonably efficient operator based on the real market conditions and a forward-looking perspective. These findings provide valuable information to both network operators and telecom regulators.     

Firm efficiency and stock returns

In this paper, we investigate the role of firm efficiency in asset pricing using a sample of US publicly listed companies for the period 1988–2007. We employ non-parametric data envelopment analysis (DEA) on various input/output combinations, focusing on sales and market value as output measures in the construction of the frontier technologies. Using these performance measures, we examine whether efficient firms perform differently from inefficient firms following standard financial analysis procedures. First, we employ performance attribution regressions, by forming portfolios based on efficiency scores and tracking the performance of the various portfolios over time. Second, we perform cross-sectional/panel regressions to determine whether firm efficiency indeed has explanatory power for the cross-section of stock returns. Our results suggest that firm efficiency plays an important role in asset pricing and that efficient firms significantly outperform inefficient firms even after controlling for known risk factors.     

Composition versus decomposition in two-stage network DEA: a reverse approach

A two-stage production process assumes that the first stage transforms external inputs to a number of intermediate measures, which then are used as inputs to the second stage that produces the final outputs. The fundamental approaches to two-stage network data envelopment analysis are the multiplicative and the additive efficiency-decomposition approaches. Both they assume a series relationship between the two stages but they differ in the definition of the overall system efficiency as well as in the way they conceptualize the decomposition of the overall efficiency to the efficiencies of the individual stages. In this paper, we first show that the efficiency estimates obtained by the additive decomposition method are biased, by unduly favouring one stage against the other, while those obtained by the multiplicative method are not unique. Then, we present a novel approach to estimate unique and unbiased efficiency scores for the individual stages, which are then composed to obtain the efficiency of the overall system, by selecting the aggregation method a posteriori. Within the particularity of two-stage processes emerging from the conflicting role of the intermediate measures, we develop an envelopment model to locate the efficient frontier whose derivation from our primal multiplier efficiency assessment model is effectively justified. The results derived from our approach are compared with those obtained by the aforementioned basic methods on experimental data as well as on test data drawn from the literature. Similarities and dissimilarities in the results are rigorously justified.