The Relationship Between Individuals’ Recognition of Human Rights and Responses to Socially Responsible Companies: Evidence from Russia and Bulgaria

An emerging body of literature has highlighted a gap in our understanding of the extent to which the salience attached to human rights is likely to influence the extent to which an individual takes account of Corporate Social Responsibility (CSR) in decision making. The primary aim of this study is to begin to address this gap by understanding how individuals attribute different emphasis on specific aspects of human rights when making decisions to purchase, work, invest or support the community operations for socially responsible organisations. In order to achieve this objective, a survey instrument was administered to professionals in Russia and Bulgaria. Our data indicate that there is a significant correlation between individuals’ sensitivity towards different components of human rights and their perceptions of the importance of CSR in decision making. Specifically, the recognition of political rights was strongly associated with the willingness to purchase, invest, seek employment and support socially responsible firms. Our analysis also outlines significant differences between the Russian and the Bulgarian samples with regard to the manners in which individuals rate the importance of civil, political and economic human rights.     

Partnership,reciprocity and team design

This paper studies the effect of intention-based reciprocity preferences on the free-riding problem arising in partnerships. Our results suggest a tendency of efficient partnerships to consist of members whose sensitivity to reciprocity is – individually or jointly – sufficiently high. Sufficient conditions for the implementation of the efficient strategy profile require a reciprocity-based sharing rule so that each partner gets a fraction of the output, which is a percentage of his own sensitivity to reciprocity with respect to the overall sensitivity in the team. Finally, we introduce the concept of psychological strong Nash equilibrium and show that it allows for the unique and collusion-proof implementation of the efficient strategy profile.     

An economic evaluation attached to a single-centre,parallel group,unmasked, randomized controlled trial of a 3-day intensive social cognitive treatment (can do treatment) in patients with relapsing remitting multiple sclerosis and low disability

Abstract

Aims: This trial-based economic evaluation (EE) assesses from a societal perspective the cost-effectiveness of an intensive 3-day cognitive theory-based intervention (CDT), compared to care-as-usual, in patients with relapsing remitting multiple sclerosis (RRMS) and low disability (Expanded Disability Status Scale [EDDS] score < 4.0).

Materials and methods: The trial of the EE was registered in the Dutch Trial Register: Trial NL5158 (NTR5298). The incremental cost-effectiveness ratio (ICER) was expressed in cost on the Control sub-scale of the Multiple Sclerosis Self-Efficacy Scale (MSSES) and the incremental cost-utility ratio (ICUR) in the cost per Quality Adjusted Life Years (QALY) using the EQ-5D-5L. Bootstrap, sensitivity, and sub-group analyses were performed to determine the robustness of the findings.

Results: The two groups of 79 patients were similar in baseline characteristics. The base case ICER is situated in the northeast quadrant (€72 (40.74/€2,948)) due to a higher MSSES Control score and higher societal costs in the CDT group. The ICUR is situated in the northwest (inferior) quadrant due to losses in QALY and higher societal costs for the CDT group (?0.02/€2,948). Overall, bootstrap, sensitivity, and sub-group analyses confirm the base case findings. However, when the SF-6D is used as a study outcome, there is a high probability that the ICUR is situated in the northeast quadrant.

Limitations: The relative short follow-up time (6?months) and the unexpected increase in MSSES Control in the control group.

Conclusions: When using the EQ-5D-5L to calculate a QALY, CDT is not a cost-effective alternative in comparison to care as usual. However, when using self-efficacy or SF-6D as outcomes, there is a probability that CDT is cost-effective. Based on the current results, CDT for patients with RRMS clearly show its potential. However, an extended follow-up for the economic evaluation is warranted before a final decision on implementation can be made.     

An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies’ awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processes.     

Econophysics review: II. Agent-based models

This article is the second part of a review of recent empirical and theoretical developments usually grouped under the heading Econophysics. In the first part, we reviewed the statistical properties of financial time series, the statistics exhibited in order books and discussed some studies of correlations of asset prices and returns. This second part deals with models in Econophysics from the point of view of agent-based modeling. Of the large number of multi-agent-based models, we have identified three representative areas. First, using previous work originally presented in the fields of behavioral finance and market microstructure theory, econophysicists have developed agent-based models of order-driven markets that we discuss extensively here. Second, kinetic theory models designed to explain certain empirical facts concerning wealth distribution are reviewed. Third, we briefly summarize game theory models by reviewing the now classic minority game and related problems.     

Risk,uncertainty and monetary policy

The VIX, the stock market option-based implied volatility, strongly co-moves with measures of the monetary policy stance. When decomposing the VIX into two components, a proxy for risk aversion and expected stock market volatility (“uncertainty”), we find that a lax monetary policy decreases both risk aversion and uncertainty, with the former effect being stronger. The result holds in a structural vector autoregressive framework, controlling for business cycle movements and using a variety of identification schemes for the vector autoregression in general and monetary policy shocks in particular. The effect of monetary policy on risk aversion is also apparent in regressions using high frequency data.     

New evidence of regional income divergence in post-reform Russia

This article investigates regional income convergence in Russia during 2000–2008. We test the hypothesis in which income divergence across regions of the country should give place to income convergence as the country moves toward free market economy with strong market institutions. The study contributes to the existing literature by using the exponential smooth autoregressive Augmented Dickey–Fuller (ADF) unit root test in a panel setup, a novel econometric technique, which encompasses cross sectional dependence. Results show strong evidence of on-going regional income divergence in post-reform period.     

Before Microfinance: The Social Value of Microsavings in Vincentian Poverty Reduction

The purpose of this article is to present and discuss the values and limits of microfinance within the context of poverty reduction, international development, and community empowerment. The main thesis is that microfinance requires a more complex strategy than simply the provision of credits. The development of financial capital depends on the increase in human capacity and social capital. Microfinance is revisited under the ethical lenses of global responsibility for alleviating poverty and developing community sustainability. Through a critical review of the literature and case studies from the Philippines, the author suggests a value-based Vincentian approach to integrate microfinance into community empowerment. In connection with the main thesis the author argues that the achievement of economic self-reliance through microfinance is contingent upon the development of capacity building, social capital, and empowerment at the individual, collective, and systemic levels.     

Reconciling quantile autoregressions of firm size and variance–size scaling

The aim of this paper is to understand what economic mechanisms may cause the Law of Proportionate Effect to break down for fast-growing and shrinking firms. Recent evidence has highlighted that the first-order coefficients of quantile auto-regression of firm size decline across quantiles. Our theoretical results show that negative variance–size scaling is sufficient to yield a decline in quantile auto-regression coefficients if firm log-size is Laplace-distributed, conditional on size one period ahead. However, it is sufficient only for declining auto-regression coefficients for fast-growing firms under Asymmetric Laplace conditional log-size if skewness is decreasing with size. In other words, if the growth of large firms is less dispersed and more left-skewed, size is a disadvantage for the growth of fast-growers, but not necessarily an advantage for fast-decliners. Thus, size-related determinants of negative growth skewness, such as diseconomies of growth, market power, and managerial attention issues, impact on how the LPE is violated. Using data on Dutch manufacturing companies from the Business Register of Enterprises observed between 1994 and 2004, our empirical estimates of quantile regression models confirm the evidence of declining quantile regression coefficients for small–medium firms (20–199 employees) mainly in the right-most quantiles, and for the same subsample, we find that growth rates variance and skewness are decreasing with size. The theoretical propositions of the paper are thus corroborated.