Factors Promoting Environmental Responsibility in European SMEs: The Effect on Performance

There is increasing social and political awareness of the importance of developing environmental responsibility at a corporate level. When focusing on issues of responsibility, large companies are frequently perceived to be more responsible for driving climate change and resource depletion. However, small and medium enterprises (SMEs) contribute significantly to the use of resources such as material and energy and produce approximately 64% of the pollution in Europe. Drawing on evidence from “The Eurobarometer 381 Survey on SMEs, Resource Efficiency and Green Markets”, we analyze the environmental responsibility of European SMEs, studying their compliance with environmental legislation and how several factors drive environmental orientation among SMEs. Our sample consists of 3647 SMEs operating in 38 countries. Only around a fifth of the firms go beyond environmental regulations, showing the highest levels of environmental responsibility. We conduct OLS regressions to analyze the factors that affect a positive environmental attitude among European SMEs (internal drivers being more significant than external ones) and then, to observe the positive effect of environmental responsibility and firm’s experience in offering green services/products on performance, although a conjoint effect was not found. Implications for practitioners, academics, and policy-makers are outlined

Noncentral elliptical configuration density

AbstractThe noncentral configuration density, derived under an elliptical model, generalizes and corrects the Gaussian configuration and some Pearson results. Partition theory is then used to obtain explicit configuration densities associated with matrix variate symmetric Kotz type distributions (including the normal distribution), matrix variate Pearson type VII distributions (including t and Cauchy distributions), the matrix variate symmetric Bessel distribution (including the Laplace distribution) and the matrix variate symmetric Jensen-logistic distribution

Radiative forcing under mixed aerosol conditions

The mixture of mineral dust with biomass burning or urban-industrial aerosols presents significant differences in optical properties when compared to those of the individual constituents, leading to different impacts on solar radiation levels. This effect is assessed by estimating the direct radiative forcing (ΔF) of these aerosols from solar flux models using the radiative parameters derived from the Aerosol Robotic Network (AERONET). These data reveal that, in oceanic and vegetative covers (surface albedo (SA) 0.30 are not present in East Asia region. At the bottom of atmosphere (BOA) the maximum ΔF values are associated with the highest AOD levels obtained for the mixture of mineral dust and biomass burning aerosols (−130 ± 44 Wm−2 with AOD = 0.8 ± 0.4 for SA < 0.30).Support for this study was given by Spanish Ministry of Education and Science, projects CGL2005‐03428‐C04‐02, CGL2007‐66477‐C02‐02/CLI, PI042005/033, and CGL2008‐04740/CLI