The importance of informal professional networks in developing a proactive organizational culture: a public value perspective

Public value theory was used by the authors to investigate informal professional networks, perceived discretionary power, and the organizational culture that forms in physical asset management organizations. The results, from a structural equation model, indicated that informal professional networks are positively associated with higher discretionary power and a proactive asset maintenance organizational culture. In the absence of public managers promoting public value, professionals use their informal networks as a source of power to be proactive and contribute to asset reliability and public safety (public value).     

Links between entrepreneurial culture,innovation, and performance: The moderating role of family firms

The relationships between corporate entrepreneurship, innovation and performance have been previously addressed by the literature. However, they have yielded mixed and often inconclusive results. The purpose of this paper is hence to empirically test a model that links entrepreneurial culture, innovation outcomes and business performance. In this model, the family nature of firms is subsequently included as a moderator variable. The empirical investigation is based on a sample of 145 family firms from the automotive components manufacturing sector in Spain. This study uses Partial Least Squares (PLS) path-modeling to test our research model and hypotheses. Our results reveal the increasing importance of fostering an entrepreneurial culture within family firms in order to yield innovation processes and performance.     

Small‐sample testing inference in symmetric and log‐symmetric linear regression models

This paper deals with the issue of testing hypotheses in symmetric and log‐symmetric linear regression models in small and moderate‐sized samples. We focus on four tests, namely, the Wald, likelihood ratio, score, and gradient tests. These tests rely on asymptotic results and are unreliable when the sample size is not large enough to guarantee a good agreement between the exact distribution of the test statistic and the corresponding chi‐squared asymptotic distribution. Bartlett and Bartlett‐type corrections typically attenuate the size distortion of the tests. These corrections are available in the literature for the likelihood ratio and score tests in symmetric linear regression models. Here, we derive a Bartlett‐type correction for the gradient test. We show that the corrections are also valid for the log‐symmetric linear regression models. We numerically compare the various tests and bootstrapped tests, through simulations. Our results suggest that the corrected and bootstrapped tests exhibit type I probability error closer to the chosen nominal level with virtually no power loss. The analytically corrected tests as well as the bootstrapped tests, including the Bartlett‐corrected gradient test derived in this paper, perform with the advantage of not requiring computationally intensive calculations. We present a real data application to illustrate the usefulness of the modified tests.     

Identification and Estimation of Club Convergence Models with Spatial Dependence

This article deals with heterogeneity and spatial dependence in economic growth analysis by developing a two‐stage strategy that identifies clubs by a mapping analysis and estimates a club convergence model with spatial dependence. Since estimation of this class of convergence models in the presence of regional heterogeneity poses both identification and collinearity problems, we develop an entropy‐based estimation procedure that simultaneously takes account of ill‐posed and ill‐conditioned inference problems. The two‐step strategy is applied to assess the existence of club convergence and to estimate a two‐club spatial convergence model across Italian regions over the period 1970 to 2000.     

Development and validation of an Integrated Organizational Safety Climate Questionnaire with multilevel confirmatory factor analysis

Meta-analytic and traditional reviews on safety climate reveal theoretical and methodological safety climate issues still open. The main aim of this study is to propose a questionnaire which combines recent and different approaches to safety climate, trying to give a contribute about these issues. The present research led to the development of a new questionnaire to measure safety climate, suitable for blue-collar workers, and to the evaluation of its psychometric properties, and usefulness to measure safety climate in the industrial sector. Multilevel confirmatory factor analysis (MCFA) was used to properly evaluate the factor structure underlying the safety climate questionnaire composed of three scales: organizational safety climate scale, supervisor’s safety climate scale and co-workers’ safety climate scale. The clear distinction, made with the use of three different scales, among safety agents (organization, supervisor, co-workers), allows the assessment of workers’ perceptions focused on each level, and allows to deeply explore, for instance, lateral relationships of supervisor’s safety climate and co-workers’ safety climate, analysing the interactions between the roles of these two safety agents. A two-level design was used, considering the individual level and the work-group level. Data collection involved 1,617 blue-collars from eight Italian manufacturing companies. The MCFA results demonstrated the importance to use proper analysis to study the factor structure of a multilevel construct as safety climate, and confirmed the theoretical structure of safety climate purposed from Griffin and colleagues, using not only psychological climate (i.e., the individual level), but also the group level safety climate.     

Survival expectations,subjective health and smoking: evidence from SHARE

This article aims to assess how the risk perceptions of smokers affect survival expectations and subjective health. Data from the Survey of Health, Ageing and Retirement in Europe, which include a numerical measure of subjective survival probability, are used to estimate a joint recursive system of equations that describe the relationships among survival expectations, subjective health status and smoking duration. A finite mixture model is used to address endogeneity and unobservable heterogeneity. This approach allows for two types of individuals with different observable characteristics to be identified in the examined population. We find that only in the population of the first type, current and former smokers incorporate the effects of smoking duration into their assessments of survival probabilities. For both types, quitting smoking affects current perceptions of smoking risks, causing the overestimation of both survival probability and subjective health.     

How elastic are national corporate income tax bases in OECD countries? The role of domestic and foreign tax rates

Abstract To what extent do reductions in corporate income tax (CIT) rates attract foreign tax bases? What are the revenue implications of a unilateral tax reduction when tax bases are internationally mobile? These questions are explored using annual data from 17 OECD countries spanning the period 1982 to 2005. Controlling for fixed country effects, year effects, and country time trends, and subjecting our results to an extensive robustness analysis, we find (i) a country’s aggregate reported corporate profits are negatively and significantly affected by CIT rate reductions in neighbouring countries; (ii) a unilateral reduction in the domestic CIT rate results in lower domestic CIT revenues.     

Taxation and Laffer Effects on Employment and Growth

Some dangerous short- and long-term ambiguities of fiscal policies arise from the belief that Laffer effects may be generated from deficit-financed tax cuts able to stimulate aggregate demand. However, even in a supply-side framework, fiscal illusion prevents a rational perception of the effectiveness of Laffer-oriented fiscal measures. The ambiguity of the Laffer effect led to an important series of studies of Francesco Forte, designed to disclose and empirically test its interactions with short- and long-term fiscal policies on gross domestic product (GDP) growth and on other relevant macroeconomic variables. We discuss, under the Laffer perspective, some of Francesco Forte’s studies related to fiscal policy effects on the labour market and GDP growth.