Shareholder Primacy,Corporate Social Responsibility,and the Role of Business Schools

This paper examines the shareholder primacy norm (SPN) as a widely acknowledged impediment to corporate social responsibility and explores the role of business schools in promoting the SPN but also potentially as an avenue for change by addressing misconceptions about shareholder primacy and the purpose of business. We start by explaining the SPN and then review its status under US and UK laws and show that it is not a likely legal requirement, at least under the guise of shareholder value maximization. This is in contrast to the common assertion that managers are legally constrained from addressing CSR issues if doing so is inconsistent with the economic interests of shareholders. Nonetheless, while the SPN might be muted as a legal norm, we show that it is certainly evident as a social norm among managers and in business schools—reflective, in part, of the sole voting rights of shareholders on corporate boards and of the dominance of shareholder theory—and justifiably so in the view of many managers and business academics. We argue that this view is misguided, not least when associated with claims of a purported legally enforceable requirement to maximize shareholder value. We propose two ways by which the influence of the SPN among managers might be attenuated: extending fiduciary duties of executives to non-shareholder stakeholders and changes in business school teaching such that it covers a plurality of conceptions of the purpose of the corporation.     

A holonic framework to understand and apply information processes in evolutionary economics: survey and proposal

Economists unsatisfied with the basic neoclassical assumptions of rational economic actors and economic evolution towards equilibrium states founded the evolutionary economic approach. Their goal was to provide more realistic assumptions regarding economic agents and their institutional environments. The Modern Synthesis (MS), the current conceptual paradigm for biological evolution, was used as a source of inspiration for conceptual development. Along the biologically inspired line of thought, the Generalized Darwinism (GD) initiative relies on the abstraction of the MS to provide a unifying conceptual framework for evolutionary economics. Despite its merits, GD has been subject to criticism, particularly regarding its level of abstractness and lack of an explicit account of the social and cognitive processes that drive economic evolution. The goal of this article is to introduce and explore an alternative conceptual framework for evolutionary economics: the Holonic Framework (HF). Contrary to GD, the HF is not biologically inspired, but builds upon the body of literature on the value of digital information networks. We discuss the analytical strengths and limitations of the HF relative to GD in light of several aspects pertinent to evolutionary economics (e.g. self-organization, culture, cognition, cooperation). Finally, by referring to an operationalization of the HF using Eurostat data, we show its practical strengths in comparison to GD.     

The effect of the 2007 ethanol mandate on downside risk in agriculture: evidence from Kansas farmers

The Energy Independence and Security Act of 2007 increased the amount of corn ethanol that must be blended into motor vehicle and other fuels as part of the renewable fuel standard. The purpose of this article is to look at how the increase in demand for corn influenced the profitability and downside risk of farms. We conducted this investigation using annual data for more than 300 farms in Kansas from 1997 through 2014. We find that the probability of a farmer’s experiencing a negative return on equity (i.e. the ‘downside risk’ of farming) decreased by 25 percentage points after 2007.     

The expectations hypothesis of the term structure of interest rates: The Brazilian case revisited

This article tests the Expectations Hypothesis (EH) using Brazilian monthly data for bond yields spanning the 2000–2017 sample period and ranging in maturity from 3 months to 5 years. Three tests are examined: the first is based on interest rates spread and the other two are based on the forward rates. On balance our results suggest rejection of the EH throughout the maturity spectrum examined, and are broadly consistent with previous findings that a linear combination of forward rates provides a statistically significant prediction of bond excess returns.     

The architecture of R&D joint projects: the social network analysis approach

This paper examines the effect of network properties on the performance R&D joint projects. In particular, we examine the impact of network cohesion, diversity and shape on the performance of these of exploration and exploitation R&D projects. We test these measures using data on projects from European R&D networks developed under the framework of Eureka projects. The empirical results indicated some network properties enhance the project’s performance and these differ depending on the kind of technological project developed. Our results suggest a lower heterogeneity, greater cohesion and network centralisation in exploitation than in exploration projects. Our findings show different types of structures depending on the aim of the joint project and that there exist different degrees of cohesion between the partners that comprise the core and the peripheral nodes.     

DIMENSIONALITY AND DISAGREEMENT: ASYMPTOTIC BELIEF DIVERGENCE IN RESPONSE TO COMMON INFORMATION

We provide a model of boundedly rational, multidimensional learning and characterize when beliefs will converge to the truth. Agents maintain beliefs as marginal probabilities instead of joint probabilities, and agents' information is of lower dimension than the model. As a result, for some observations, agents may face an identification problem affecting the role of data in inference. Beliefs converge to the truth when these observations are rare, but beliefs diverge when observations presenting an identification problem are frequent. Robustly, two agents with differing priors who observe identical, unambiguous information may disagree forever, with stronger disagreement the more information received.     

Scaling the volatility of GDP growth rates

The distribution of shocks to GDP growth rates is found to be exponential rather than normal. Their standard deviation scales with GDP^β where β=−0.15±0.03. These macroeconomic results place restrictions on the microeconomic structure of interactions between agents.     

On a class of law invariant convex risk measures

We consider the class of law invariant convex risk measures with robust representation r_h,p(X)=sup_fò₀¹ [AV@R_s(X)f(s)-f^p(s)h(s)] ds\rho_{h,p}(X)=\sup_{f}\int_{0}^{1} [AV@R_{s}(X)f(s)-f^{p}(s)h(s)]\,ds, where 1≤p<∞ and h is a positive and strictly decreasing function. The supremum is taken over the set of all Radon–Nikodym derivatives corresponding to the set of all probability measures on (0,1] which are absolutely continuous with respect to Lebesgue measure. We provide necessary and sufficient conditions for the position X such that ρ _h,p (X) is real-valued and the supremum is attained. Using variational methods, an explicit formula for the maximizer is given. We exhibit two examples of such risk measures and compare them to the average value at risk.     

Estimation of the mean of the selected population under asymmetric loss function

This paper is concerned with the comparison of seven estimators of the mean of the selected population from two normal populations with unknown means and common known variance under an asymmetric loss namely the LINEX loss function. The proposed estimators are invariant under location transformation. The bias and risks of the seven estimators are computed and compared. The conclusion recommend the use of δ_P (σ) which is simple to use and it is minimax. Received: January 1999     

Response to price and production risk: The case of Australian wheat

A model of Australian wheat grower supply response was specified under the constrainsts of price and yield uncertainty, risk aversion, partial adjustment, and quadratic costs. The model was solved to obtain area planted. The results of estimation indicate that risk arising from prices and climate have had a significant influence on producer decision making. The coefficient of relative risk aversion and short‐run and long‐run elasticities of supply with respect to price were calculated. Wheat growers' risk premium, expected at the start of the season for exposed price and yield risk, was 2.8 percent of revenue or 10.4 percent of profit as measured by producer surplus. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20: 345–359, 2000.