Knowledge,action and public concern: the logic underlying mediators' actions in French labour conflicts

Since the early 1980s, a rich research literature on mediation has evolved. Mediation is becoming the norm for organizations facing individual or collective conflicts. The lack of empirical research confuses what mediators do and why they do it, confusion made even worse by a strong cultural dimension. Based on interviews with 54 French labour mediators, we have identified four logics of actions and the explaining variables. On the whole they appear as less than neutral. Their own ideology and time constraints are salient variables.     

A Dynamic Model for International Environmental Agreements

In this paper we develop a model that uses a dynamic framework to analyze the process through which countries join international environmental agreements (IEAs). In the model, while all countries suffer from the same environmental damage as a result of total global emissions, non-signatory countries decide on their emission levels by maximizing their own welfare, whereas signatory countries decide on their emission levels by maximizing the aggregate welfare of all signatory countries. It is assumed that signatory countries will be able to punish non-signatories, at some cost to themselves. When countries decide on their pollution emissions, they account for the evolution of the stock of pollution over time. Moreover, we propose a mechanism to describe how countries reach a stable IEA. The model is able to capture situations characterized by partial cooperation within an IEA that is stable over time. It also captures situations where all countries participate in a stable agreement, and situations where no stable agreement is feasible. Where more than one possibility coexist, the long-term outcome of the game depends on the initial conditions (i.e., the initial number of signatory countries and pollution level).     

How Can Business Ethics Strengthen the Social Cohesion of a Society?

The essay aims to show how business ethics—understood as a three-level approach—can strengthen the social cohesion of a society, which is jeopardized today in many ways. In the first part, the purpose of business and the economy is explained as the creation of wealth defined as a combination of private and public wealth that includes natural, economic, human, and social capital. Special emphasis is placed on the implications of the creation of public wealth which requires institutions other than the market and motivations other than self-regarding ones. In the second part, the question of what holds a society together is discussed through different approaches: enlightened self-interest, a new game-theoretical approach, and the concept of the common good advanced by Catholic Social Teaching, followed by my own proposal. The third part presents several perspectives for business ethics to strengthen social cohesion of a society (a) by focusing on the purpose of business and the economy to create natural, economic, human, and social capital; (b) by advancing public goods that stand the test of ethical scrutiny; and (c) by securing human rights conceptualized as public goods.     

THE TREND TOWARDS MONOPOLIES AND THE GENERAL INTEREST

This article is a sequel to the one published in the Oct.-Dec. 1967 issue of the Annals under the title Profit, the Enterprise and the General Interest. The delay in the appearance of the second article is regretted; the explanation is to be found in the demands made on the author's time by the upheaval which has taken place in French university teaching since May 1668.     

Robust linear static panel data models using ε-contamination

The paper develops a general Bayesian framework for robust linear static panel data models using$\epsilon$-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood (ML-II) posterior distribution of the coefficients and individual effects. The ML-II posterior means are weighted averages of the Bayes estimator under a base prior and the data-dependent empirical Bayes estimator. Two-stage and three stage hierarchy estimators are developed and their finite sample performance is investigated through a series of Monte Carlo experiments. These include standard random effects as well as Mundlak-type, Chamberlain-type and Hausman–Taylor-type models. The simulation results underscore the relatively good performance of the three-stage hierarchy estimator. Within a single theoretical framework, our Bayesian approach encompasses a variety of specifications while conventional methods require separate estimators for each case.