Les traducteurs endurcis devraient-ils se raviser? Le cas du couple hard / soft

Département de linguistique et de traduction

Comparative Lessons on Corporate law and CSR: Hard Law as Solution? Do the French offer the way ahead?

This paper provides a comparative analysis of corporate law and CSR and asks whether there are lessons for Australia from corporate law and CSR developments in France. This presentation presents a summary of the provisions of the new French Act Number 2010-788 passed on 12 July 2010 – called “Grenelle 2” –. Firstly, article 225 of Law’s Grenelle 2 changes the Commercial Code to extend the reach of non-financial reporting and to ensure its pertinence. Secondly, article 227 Law’s Grenelle 2 amends certain provisions of the Commercial and Environmental Codes and incorporates into substantive law the liability of parent companies for their subsidiaries. In fine, article 224 of Law’s Grenelle 2 reinforces the pressure on the market to act in a responsible manner. It modifies article 214-12 of the Monetary and Financial Code in order to compel institutional investors (mutual funds and fund management companies) to take social, environmental and governance criteria into account in their investment policy.

«School choice with controlled choice constraints: hard bounds versus soft bounds»

Controlled choice over public schools attempts giving options to parents while maintaining diversity, often enforced by setting feasibility constraints with hard upper and lower bounds for each student type. We demonstrate that there might not exist assignments that satisfy standard fairness and non-wastefulness properties; whereas constrained non-wasteful assignments which are fair for same type students always exist. We introduce a "controlled" version of the deferred acceptance algorithm with an improvement stage (CDAAI) that finds a Pareto optimal assignment among such assignments. To achieve fair (across all types) and non-wasteful assignments, we propose the control constraints to be interpreted as soft bounds-flexible limits that regulate school priorities. In this setting, a modified version of the deferred acceptance algorithm (DAASB) finds an assignment that is Pareto optimal among fair assignments while eliciting true preferences. CDAAI and DAASB provide two alternative practical solutions depending on the interpretation of the control constraints. JEL C78, D61, D78, I20.