Industry Specific Sustainability Benchmarks: An ECSF Pilot Bridging Corporate Sustainability with Social Responsible Investments

This paper investigates the state of the art with respect to sustainability reporting, its linkages with the corporations, internal measurement and monitoring systems and their combined impact on the quality of contemporary sustainability benchmarks, developed by SRI analysts and so-called rating and screening agencies. This research originated from the EU-funded research initiative to create a new generation management framework for corporate sustainability and responsibility (CS-R). The aim of it is to develop a coherent set of assessment –, measurement – and monitoring tools. The sustainability benchmark tool should align the interests of corporations implementing CS-R and various organizations supporting SRI, such as fund managers, analysts and screening agencies. This paper show the essentials features of an actual sustainability benchmark which is currently under construction. This approach will have significance impact on the further development of SRI and CS-R practices, as well as support the development of sustainability reporting standards.     

Exploring Social Desirability Bias

This study examines social desirability bias in the context of ethical decision-making by accountants. It hypothesizes a negative relation between social desirability bias and ethical evaluation. It also predicts an interaction effect between religiousness and gender on social desirability bias. An experiment using five general business vignettes was carried out on 121 accountants (63 males and 58 females). The results show that social desirability bias is higher (lower) when the situation encountered is more (less) unethical. The bias has religiousness and gender main effects as well as an interaction effect between these two independent variables. Women who were more religious recorded the highest bias scores relative to less religious women and men regardless of their religiousness.     

Organizational public value and employee life satisfaction: the mediating roles of work engagement and organizational citizenship behavior

Abstract

Building on Meynhardt’s public value concept, which has been developed to make transparent an organization’s contributions to the common good, we investigate the influence of organizational common good practices in the perceptions of employees (measured as public value) on employees’ work attitudes and life satisfaction. The proposed model is tested on a sample of 1045 Swiss employees taken from the 2015 Swiss Public Value Atlas data-set. Study findings reveal that organizational public value is positively related to employee life satisfaction, and that this relationship is partially mediated by work engagement and organizational citizenship behavior. Further, we show that employee common good orientations strengthen the positive impact of organizational public value on employee work engagement and organizational citizenship behavior. Results also provide evidence that the indirect effects of organizational public value on employee life satisfaction via work engagement and organizational citizenship behavior are stronger at higher employee common good orientation levels.     

Evaluating GARCH models

In this paper, a unified framework for testing the adequacy of an estimated GARCH model is presented. Parametric Lagrange multiplier (LM) or LM type tests of no ARCH in standardized errors, linearity, and parameter constancy are proposed. The asymptotic null distributions of the tests are standard, which makes application easy. Versions of the tests that are robust against nonnormal errors are provided. The finite sample properties of the test statistics are investigated by simulation. The robust tests prove superior to the nonrobust ones when the errors are nonnormal. They also compare favourably in terms of power with misspecification tests previously proposed in the literature.     

Testing constancy of the error covariance matrix in vector models

In this paper a Lagrange multiplier test of the hypothesis that the covariance matrix of a multivariate time series model is constant over time is considered. It is assumed that under the alternative, the error variances are time-varying, whereas the correlations remain constant over time. Under the parameterized alternative hypothesis the variances may change continuously as a function of time or some observable stochastic variables. Small-sample properties of the test statistic are investigated by simulation. The assumption of constant correlations does not appear overly restrictive.     

Robust Small Area Estimation under Spatial Non‐stationarity

The effective use of spatial information in a regression‐based approach to small area estimation is an important practical issue. One approach to account for geographic information is by extending the linear mixed model to allow for spatially correlated random area effects. An alternative is to include the spatial information by a non‐parametric mixed models. Another option is geographic weighted regression where the model coefficients vary spatially across the geography of interest. Although these approaches are useful for estimating small area means efficiently under strict parametric assumptions, they can be sensitive to outliers. In this paper, we propose robust extensions of the geographically weighted empirical best linear unbiased predictor. In particular, we introduce robust projective and predictive estimators under spatial non‐stationarity. Mean squared error estimation is performed by two analytic approaches that account for the spatial structure in the data. Model‐based simulations show that the methodology proposed often leads to more efficient estimators. Furthermore, the analytic mean squared error estimators introduced have appealing properties in terms of stability and bias. Finally, we demonstrate in the application that the new methodology is a good choice for producing estimates for average rent prices of apartments in urban planning areas in Berlin.     

Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs

Weak disposability of outputs means that firms can abate harmful emissions by decreasing the activity level. Modeling weak disposability in nonparametric production analysis has caused some confusion. This article identifies a dilemma in these approaches: conventional formulations implicitly and unintentionally assume all firms apply uniform abatement factors. However, it is usually cost-effective to abate emissions in those firms where the marginal abatement costs are lowest. This article presents a simple formulation of weak disposability that allows for non-uniform abatement factors and preserves the linear structure of the model.     

Does strategy matter? A comparison of broadband rollout policies in Finland and Sweden

This study investigates broadband policies applied in Finland and Sweden with special reference to the geographical coverage of the required network infrastructure. These two Nordic countries are seen as forerunners in the development of the information society, and they also share several other similarities bearing relevance to the take-up of broadband. However, they have applied different broadband strategies: Sweden, one of the first-movers in this field, already launched its ambitious and interventionist national ICT infrastructure program in 2000, whereas the Finnish broadband strategy, published in 2003, largely relies on market forces. The present article analyses these broadband strategies, and attempts to identify their actual differences. It appears that the Finnish strategy caused temporary higher broadband prices and a somewhat slower rollout. However, the current results of the two countries’ strategies in terms of coverage and usage levels, as well as end-user prices, do not indicate any significant long-term policy-induced impacts.     

ESTIMATING THE INTERNAL RATE OF RETURN FROM PUBLISHED FINANCIAL STATEMENTS

This paper presents a new approach to estimating the longrun internal rate of return (IRR) for the firm from the accountant's rate of profit based on published financial statements. The model developed for estimating the IRR includes both capital and net working asset investments. Modelling and estimating the growth of the firm is an integral part of the approach. Furthermore, estimating the parameters describing the long-run financing behavior of the firm is presented based on discounted average funds flow statements. Finally, the approach is applied on the financial data of a large Finnish business enterprise.     

A many-person Corlett-Hague tax rule with externalities

This study addresses environmental tax reforms in a many-personeconomy. Starting from a situation of uniform commodity taxation,a tax reform raising the tax on a good complementary to leisureor on a good that is environmentally harmful may be seen aswelfare-improving as long as environmental externalities donot affect commodity demand. When environmental quality reducescommodity demand, a trade-off arises between the direct beneficialimpact of the higher environmental tax and its indirect, harmfulimpact caused by reduced tax revenues. A second trade-off mayalso arise from a conflict between efficiency and distributionalequity.