Entrepreneurial activity and regional competitiveness: evidence from European entrepreneurial universities

The interesting relationship between entrepreneurial activity and regional competitiveness has been a major focus of academics, university managers, and policy makers during the past decades—in particular the role of institutions in the establishment of political, social, and economic rules-. For example, since the enactment of the US Bayh–Dole Act more than 30 years ago, many American cities and regions are increasingly viewing universities as potential engines of economic growth. In these new socioeconomic scenarios, the role of entrepreneurial universities is not only generates/transfers knowledge but also contributes/provides leadership for the creation of entrepreneurial thinking, actions, and institutions. Previous studies have shown the university’s role in economic development, but no empirical study has analyzed the entrepreneurial activity generated by university students per university at the country/regional level of analysis. The purpose of this paper is to explore the impact of the university’s entrepreneurial activity on regional competitiveness. Adopting the institutional economics and the endogenous growth approaches, a proposed conceptual framework was developed and tested with structural equation modeling using data from 102 universities located in 56 NUTS II of 12 European countries. Our results evidenced that informal factors (e.g., attitudes, role models) have a higher influence on university entrepreneurial activity than formal factors (e.g., support measures, education and training). Our results also evidenced a higher contribution of universities on regional competitiveness, in particular, when we used social measures (talent human capital) instead economic measures (GDP per capita).     

Statistical discrimination of liquid gasoline samples from casework

The intention of this study was to differentiate liquid gasoline samples from casework by utilizing multivariate pattern recognition procedures on data from gas chromatography-mass spectrometry. A supervised learning approach was undertaken to achieve this goal employing the methods of principal component analysis (PCA), canonical variate analysis (CVA), orthogonal canonical variate analysis (OCVA), and linear discriminant analysis. The study revealed that the variability in the sample population was sufficient enough to distinguish all the samples from one another knowing their groups a priori. CVA was able to differentiate all samples in the population using only three dimensions, while OCVA required four dimensions. PCA required 10 dimensions of data in order to predict the correct groupings. These results were all cross-validated using the "jackknife" method to confirm the classification functions and compute estimates of error rates. The results of this initial study have helped to develop procedures for the application of multivariate analysis to fire debris casework.     

Assessing risk markers in intimate partner femicide and severe violence: a new assessment instrument

The aim of this study is to develop a scale to predict intimate partner femicide and severe violence. The sample consists of 1,081 batterer men who were reported to the police station. First, the most significant differences between the severe violence group (n = 269) and the less severe violence group (n = 812) in sociodemographic variables are determined. Both aggressors and victims of the severe violence group have a higher rate of immigration. Second, the proposed 20-item scale is derived from a larger 58-item scale, where only the most discriminative items between severe and nonsevere intimate partner violence are taken into account. Psychometric properties of reliability and validity are rather good. Cutoff scores have been proposed according to sensitivity and specificity. This easy-to-use tool appears to be suitable to the requirements of criminal justice professionals and is intended for use in safety planning. Implications of these results for further research are discussed.     

Forensic Terrestrial Photogrammetry from a Single Image

Abstract:  Forensic terrestrial photogrammetry is one of the most valuable and low-cost resources of spatial data available today. Due to the ephemeral crime scene characteristics, these photographs can often capture information that is never to be seen again. This paper presents a novelty approach for the documentation, analysis, and visualization of crime scenes for which only a single perspective image is available. The photogrammetric process consists of a few well-known steps in close-range photogrammetry: features extraction, vanishing points computation, camera self-calibration, 3D metric reconstruction, dimensional analysis, and interactive visualization. Likewise, the method incorporates a quality control of the different steps accomplished sequentially. As a result, several cases of study are presented in the experimental results section in order to test their viability. The full approach can be applied easily through the free software, sv3DVision, which has been evaluated by a number of police officers, forensic scientists, and forensic educators satisfactorily.     

Lobbying and Concessions: Comparing Nash to Stackelberg Games

We analyze how the standardresults in lobbying theory change when one side has asecond instrument at its disposal. We look at theeffect concessions by one side have on the outcome ina Nash and a Stackelberg game.     

An ecological path model of use of violence among African American adolescents

This cross-sectional study used an ecological framework to understand the risk and protective factors associated with use of violence among African American adolescents ages 12–17 years (N = 2,328). Using data from the 2012 National Survey on Drug Use and Health, the authors study identified different direct paths in predicting use of violence among African American adolescents. The authors then computed a multigroup analysis to determine whether significant gender differences exist in use of violence. Path analysis results suggest micro, meso, and macro factors significantly predicted violence use. The strongest predictor of use of violence among African American youth was parental conflicts. The multigroup analysis suggests that the pathways to use of violence significantly differ between African American boys and girls. Among African American boys, the strongest predictor of increased use of violence was parental conflicts; among African American girls, it was negative peer influence. Findings suggest that all 3 ecological domains and gender differences should be accounted for when developing prevention or intervention services that target use of violence among young African Americans.     

What Role Have Former ETA Terrorists Played in Counterterrorism and Counterradicalization Initiatives in Spain?

This article responds to the following research question: what role have former Euskadi Ta Askatasuna (ETA) members played in counterterrorism and counterradicalization initiatives vis-à-vis the terror group in Spain? Our analysis of the role played by former ETA members so far demonstrates that only a minority of former ETA terrorists have disengaged from the terrorist organization and at the same time voiced some criticism of their past violent activities. Such a step, although a positive one, is part of a process that in most of the cases analyzed has to be deemed as incomplete due to deficits, some of them very significant, which considerably limit their effectiveness in countering terrorism and radicalization.     

Efforts in two-sided contests

The degree of rent dissipation is studied in extended two-sided contests that involve two types of efforts. While usual contestants expend resources in trying to win the contested prize, potential recipients of the rent-seeking efforts also participate in the contest. This is due to uncertainty regarding the source of power in the contest that induces the bureaucrats to expend resources to increase their share in the rent-seeking efforts by trying to appear as the party controlling the allocation of the prize. We show that the existing theoretical and empirical studies are incomplete and may underestimate the extent of rent dissipation.     

Extractive industries and regional development: Lessons from Peru on the limitations of revenue devolution to producing regions

ABSTRACT

The transfer of oil and mining revenues to the subnational governments of resource-rich jurisdictions is a common policy aimed at promoting development and reducing local opposition to extraction. In the early 2000s, Peru implemented a radical version of that policy. Peruvian mining regions received fiscal transfers many times greater than the national average during the last commodity boom. The strategy had mixed effects on well-being indicators. These transfers had statistically significant positive effects on economic growth and the rate of school attendance at different ages. In contrast, they did not have a significant impact on poverty reduction or the coverage of other basic services, while being positively correlated with an increase in the income gap between women and men. Overall, the results are not as positive as the promoters had expected. The transfers generated political incentives for local authorities to pursue short-term, clientelistic spending that has reduced their potential benefits.     

Effectiveness of comparison overlays generated with DentalPrint software in bite mark analysis

Validation studies of the new DentalPrint software were carried out with experimental bite marks in pigskin. The bite marks were digitally photographed according to the ABFO guidelines for evidence collection. Dental casts used in the experiment were scanned in 3D and 2D, and comparison overlays were generated using DentalPrint and Adobe Photoshop software, respectively. Digitized photographs of the experimental bite marks and the biting edges obtained in the overlays were compared by two different examiners to analyze the impact of training and experience with the two methods. Receiver operating characteristic (ROC) analysis, sensitivity, specificity, and 95% confidence intervals for each cutoff point were calculated. The expert examiner using DentalPrint obtained the best results, with an area under the ROC curve of 0.76 (SE=0.057; CI at 95%=0.652-0.876). Fairly high specificity values were found for DentalPrint, and the best results were obtained for the cutoff value that discriminated between the examiner's response "biter" and the rest of the possible (specificity 97.9%, CI at 95%=93.2%-99.6%). Therefore, the results presented here indicate that DentalPrint is a useful, accurate tool for forensic purposes, although further research on the comparison process is needed to enhance the validity of bite mark analysis.