Corporate social responsibility reporting: A comprehensive picture?

This study develops a content analysis framework that provides information on the comprehensiveness of corporate social responsibility (CSR) reporting, an important aspect of social and environmental accountability. Comprehensive reporting, as defined here, requires three types of information for each disclosed CSR item: (i) vision and goals, (ii) management approach, and (iii) performance indicators. The feasibility of the framework to assess the comprehensiveness of CSR reporting is demonstrated using the 2005 annual reports of a sample of publicly traded Belgian companies. The content analysis reveals a low level of comprehensive reporting. This finding complements those of prior studies on the completeness of CSR reporting and, therefore, feeds the debate regarding the extent to which CSR reporting can be considered a mechanism for discharging social and environmental accountability.     

Is ethical money financially smart? Nonfinancial attributes and money flows of socially responsible investment funds

We study the money flows into and out of socially responsible investment (SRI) funds around the world. In their investment decisions, investors in SRI funds may be more concerned with ethical or social issues than with fund performance. Therefore, SRI money flows are less related to past fund returns. Ethical money is less sensitive to past negative returns than are conventional fund flows, especially when SRI funds primarily use negative or Sin/Ethical screens. Social attributes of SRI funds weaken the relation between money inflows and past positive returns. However, money flows into funds with environmental screens are more sensitive to past positive returns than are conventional fund flows. Stock picking based on in-house SRI research increases the money flows. These results give evidence on the role of nonfinancial attributes, which induce heterogeneity of investor clienteles within SRI funds. We find no evidence of a smart money effect, as the funds that receive more inflows neither outperform nor underperform their benchmarks or conventional funds.     

Critical Situations for Decision Making: A Support Based on a Modelling Tool

This paper proposes to give a toll to help decision makers in critical situations. The principle of our research is based on a modelling approach for Cooperative Knowledge Based Systems. This approach is based on a Task/Method paradigm that we describe. We then propose to take into account collateral effects of tasks in order to support decision makers in a critical context. The proposed tool can then generate a degraded solution for which, collateral effects of previous tasks have been taken as new goals to reach. This study is possible thanks to the definition of several kinds of models: a Good Functioning Model and a Degraded Tasks Library.     

Poverty and unemployment: A cultural approach

For years, policymakers, business leaders, human resources professionals, and economists have attempted to explain the existence of unemployment. Unemployment inhibits the economic growth of a nation and contributes to the problem of ongoing poverty, which cannot be lessened without that growth. Understanding the causes of unemployment and developing policies and programs to decrease it are vitally important for nations around the world, but one key variable in the study of unemployment has been overlooked. That variable is culture. This article will show that culture can significantly explain cross‐national differences in unemployment rates and offers a link to understanding the global problem of poverty that plagues nations today. © 2012 Wiley Periodicals, Inc.     

MULTIVARIATE VOLATILITY MODELING OF ELECTRICITY FUTURES

We model the dynamic volatility and correlation structure of electricity futures of the European Energy Exchange index. We use a new multiplicative dynamic conditional correlation (mDCC) model to separate long‐run from short‐run components. We allow for smooth changes in the unconditional volatilities and correlations through a multiplicative component that we estimate nonparametrically. For the short‐run dynamics, we use a GJR‐GARCH model for the conditional variances and augmented DCC models for the conditional correlations. We also introduce exogenous variables to account for congestion and delivery date effects in short‐term conditional variances. We find different correlation dynamics for long‐ and short‐term contracts and the new model achieves higher forecasting performance compared \to a standard DCC model. Copyright © 2012 John Wiley & Sons, Ltd.     

Safety of playgrounds in The Netherlands

Abstract

In this paper the results are presented of a national survey on playground safety in The Netherlands. Thirteen trained inspectors each inspected 51 playgrounds in their own region. In total, 663 playgrounds with 7150 pieces of playground equipment were subjected to an inspection. The following safety criteria were inspected: entanglement, surfacing material, installation and maintenance aspects. The results show that one out of every three pieces of playground equipment fail on one or more criteria. The number of pieces of equipment that fail in playgrounds operated by local authorities or recreational companies is higher than that in playgrounds operated by voluntary associations. The smaller the playground the higher the number of failures per piece of equipment

The time has come for experts to provide the operators with information which will improve the safety level. More funding should be provided for the local authorities to prevent the occurrence of accidents.     

The Embeddedness of Responsible Business Practice: Exploring the Interaction Between National-Institutional Environments and Corporate Social Responsibility

Academic literature recognizes that firms in different countries deal with corporate social responsibility (CSR) in different ways. Because of this, analysts presume that variations in national-institutional arrangements affect CSR practices. Literature, however, lacks specificity in determining, first, what parts of national political-economic configurations actually affect CSR practices; second, the precise aspects of CSR affected by national-institutional variables; third, how causal mechanisms between national-institutional framework variables and aspects of CSR practices work. Because of this the literature is not able to address to what extent CSR practices are affected by either global or national policies, discourses and economic pressures; and to what extent CSR evolves as either an alternative to or an extension of national-institutional arrangements. This article proposes an alternative approach that focuses on an exploration of links between disaggregated variables, which can then be the basis for imagining new national-institutional configurations affecting aspects of CSR. It illustrates this approach with an exploration of the importance of development aid policy for CSR practices in global supply chains.     

Vertical fiscal imbalances and fiscal performance in advanced economies

The paper examines empirically, using a measure of “vertical fiscal imbalances” (VFI), the relationship between overall fiscal performance and the financing structure of subnational governments. It presents stylized facts regarding the size, evolution, and components of measured VFI using data from 28 OECD countries. On average, the general government fiscal balance is found to improve by 1 percent of GDP for each 10 percentage point reduction in VFI.     

'More is not necessarily better': the relationship between the quantity and quality of training efforts

International comparisons indicate that, on average, Belgian companies spend less on training than their French, German and Dutch counterparts. Encouraging companies to commit to training has consequently been an important policy goal over the last few years. One notable aspect of the policy to encourage training efforts by companies is that the effort is always represented in terms of the resources invested (input), not in terms of the learning achieved (output) or the quality of training programmes (throughput). Government policy is aimed at increasing the level of investment in company training. One of the questions we wish to investigate is whether this input-oriented approach to the training issue is actually effective. Whether companies will succeed in raising human capital to ever-increasing levels may depend not only (and maybe not even chiefly) on the extent of financial investment in training. The investment level does not necessarily determine the quality of the training processes developed by companies. Therefore, this paper focuses on the following research questions: (1) to what extent do companies monitor the systematic development of sufficiently effective training processes? In other words, is qualitative under-investment an issue, alongside financial under-investment? (2) Is the level of financial investment in company training correlated to the quality of training processes? The empirical data confirm that a kind of 'qualitative' under-investment can be reported and that the relationship between the level of investment in training and the quality of the training programmes is weak.     

A quantitative determination of the food security status of rural farming households in the Northern Province of South Africa

The majority of South Africans living in rural areas are food insecure despite high levels of national food self-sufficiency. The household food security position of two groups of rural farming households in the Venda region was evaluated quantitatively: one group produces vegetables that are sold or consumed locally, the other group produces cash crops – mangoes and other subtropical fruits. Using the collected data, food availability and energy, protein and fat requirements were calculated and balances derived. It was found that more than 80 per cent of the households had a negative balance of energy, protein and fat intake. The average energy, protein and fat coverage consumption was the same for both groups of farmers. A number of agricultural determinants were tested, but only non-agricultural determinants were found to be significant. These include household size, household (food) expenditure and proportion of the budget spent on food.