Technological races and stock market value: evidence from the pharmaceutical industry

We provide estimates of the abnormal stock market returns associated with pharmaceutical firms’ announcements of technological and regulatory successes in drug development. On the basis of these estimates, we find empirical support for two key features of technological race models. First, we observe that leaders in the innovation race record higher abnormal returns than do latecomers when they announce a success. Hence, firms should indeed be racing to complete the innovation process before their rivals. Second, pharmaceutical firms are adversely affected by the technological and regulatory success of their rivals, implying that interfirm spillovers in drug development are not sufficient to offset technological rivalry. Additional results are also produced regarding the impact of competition on R&D racing and the extent of therapeutic competition.     

Cause‐related events: fulfilling the objectives of social partnerships

• Cause‐related events are growing in frequency and popularity. These events enable corporates and not‐for‐profit organisations to collaborate for mutual benefit, within the strategic framework of a social partnership. However, while anecdotal evidence indicates that millions of dollars are invested in events, less is known about how the strategic objectives of social partnerships are achieved via cause‐related events. We present the findings of an ethnographic study of two social partnerships and contribute insights into how and why events help them achieve their strategic objectives. Case analysis data reveals that the fit between events and partnerships; the people, teams, and relationships; and collaboration of resources all contribute to generating competitive advantage and value. We discuss the managerial implications for those collaborating to organise a cause‐related event.

Copyright © 2016 John Wiley & Sons, Ltd.     

A re-examination of Libor rigging: a time-varying cointegration perspective

Using a time-varying cointegration framework, this paper examines the alleged manipulation of the London interbank offered rate (Libor) during the 2007–2009 financial crisis. Bank quotes are found to be poor indicators of their financing costs in the crisis period. The aberration in the estimated values of the cointegrating and error correction parameters governing the long-run equilibrium relationship between bank quotes and the final Libor suggests banks were submitting lower quotes. Further analysis which controls for an individual bank’s credit risk, market wide credit and liquidity risks, and a common market factor, demonstrate possible evidence of Libor rigging during the crisis period.     

The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data

This article studies how agglomeration economies affect tax competition between local jurisdictions. We develop a theoretical model with two main testable predictions: in a setting where agglomeration forces lessen the responsiveness of capital to tax, high-regime agglomeration jurisdictions should adopt a rent-taxing behavior, and they should react less to their neighbors’ tax policies. The panel dataset spans the period from 1995 to 2007 and focuses on the local business taxes set at the French mid-subnational jurisdiction level of départements. First, instrumental variables estimates indicate that attractive jurisdictions capture a significant part of firms’ agglomeration rent by levying higher tax rates. An increase by 1% of the localization economies indicator (a specialization index) leads to increasing the business tax rate by 0.43%. Second, local tax setting behaviors are characterized by a mimetic behavior, with best response functions that slope upwards. We propose a two-agglomeration-regime spatial lag model to estimate through ML the relationship between tax competition and attractiveness. Our main result shows that both are linked and tax mimicry is less pronounced if a jurisdiction is agglomerated. Specifically, in response to a decrease in the tax rate of neighboring local governments by 1%, local governments with strong agglomeration economies reduce their tax rate by 0.4% against 0.6% for local government characterized by a low-agglomeration regime. We show that the classical one-size-fits-all-case of a single regime of agglomeration suffers from a 40% downward bias for low-agglomeration jurisdictions. We draw the link to policy praxis by discussing the optimal design of equalization schemes.     

A model of the U.S. food system: What are the determinants of the state vulnerabilities to production shocks and supply chain disruptions?

We adapt a Ricardian general equilibrium model to the setting of U.S. domestic agri-food trade to assess states’ vulnerability to adverse production shocks and supply chain disruptions. To this end, we analyze how domestic crop supply chains depend on fundamental state-level comparative advantages—which reflect underlying differences in states’ cost-adjusted productivity levels—and thereby illustrate the capacity of states to adapt to and mitigate the impacts of such disruptions to the U.S. agricultural sector. Based on the theoretical framework and our estimates of the model's structural parameters obtained using data on U.S. production, consumption, and domestic trade in crops, we undertake simulations to characterize the welfare implications of counterfactual scenarios depicting disruptions to (1) states’ agricultural productive capacity, and (2) interstate supply linkages. Our results emphasize that the distributional impacts of domestic supply chain disruptions hinge on individual states’ agricultural productive capacities, and that the ability of states to mitigate the impacts of adverse production shocks through trade relies on the degree to which states are able to substitute local production shortfalls by sourcing crops from other states.