HEC Montréal

About: HEC Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Vehicle routing problem & Corporate governance. The organization has 1221 authors who have published 5708 publications receiving 196862 citations. The organization is also known as: Ecole des Hautes Etudes Commerciales de Montreal & HEC Montreal.

Environmental Policy, Innovation and Performance: New Insights on the Porter Hypothesis

Abstract: Jaffe and Palmer (1997) present three distinct variants of the so-called Porter Hypothesis. The “weak” version of the hypothesis posits that environmental regulation will stimulate certain kinds of environmental innovations. The “narrow” version of the hypothesis asserts that flexible environmental policy regimes give firms greater incentive to innovate than prescriptive regulations, such as technology-based standards. Finally, the “strong” version posits that properly designed regulation may induce cost-saving innovation that more than compensates for the cost of compliance. In this paper, we test the significance of these different variants of the Porter Hypothesis using data on the four main elements of the hypothesised causality chain (environmental policy, research and development, environmental performance and commercial performance). The analysis is based upon a unique database which includes observations from approximately 4200 facilities in seven OECD countries. In general, we find strong support for the “weak” version, qualified support for the “narrow” version, and qualified support for the “strong” version as well.

Corporate Social Responsibility as a Conflict between Shareholders

Abstract: In recent years firms have greatly increased the amount of resources allocated to activities classified as Corporate Social Responsibility (CSR). While an increase in CSR expenditure may be consistent with firm value maximization if it is a response to changes in stakeholders' preferences, we argue that a firm's insiders (managers and large blockholders) may seek to over-invest in CSR for their private benefit to the extent that doing so improves their reputations as good global citizens. We test this hypothesis by investigating the relation between firms' CSR ratings and their ownership and capital structures. Employing a unique data set that categorizes the largest 3,000 U.S. corporations as either socially responsible or socially irresponsible, we find that on average, insiders' ownership and leverage are negatively related to the firm's social rating, while institutional ownership is uncorrelated with it. These results support our hypothesis that insiders induce firms to over-invest in CSR when they bear little of the cost of doing so.

Monetary Policy in a Data-Rich Environment

Abstract: Most empirical analyses of monetary policy have been confined to frameworks in which the Federal Reserve is implicitly assumed to exploit only a limited amount of information, despite the fact that the Fed actively monitors literally thousands of economic time series. This article explores the feasibility of incorporating richer information sets into the analysis, both positive and normative, of Fed policymaking. We employ a factor-model approach, developed by Stock and Watson (1999a,b), that permits the systematic information in large data sets to be summarized by relatively few estimated factors. With this framework, we reconfirm Stock and Watson's result that the use of large data sets can improve forecast accuracy, and we show that this result does not seem to depend on the use of finally revised (as opposed to 'real-time') data. We estimate policy reaction functions for the Fed that take into account its data-rich environment and provide a test of the hypothesis that Fed actions are explained solely by its forecasts of inflation and real activity. Finally, we explore the possibility of developing an 'expert system' that could aggregate diverse information and provide benchmark policy settings.