Should countries block foreign takeovers of R&D champions and promote greenfield entry?

Abstract In R&D intensive industries, governments promote greenfield foreign investments, while being sceptical towards foreign acquisitions of domestic high‐quality firms. We develop a theoretical model that shows that foreign acquisitions are conducive to high‐quality targets because of strategic effects on the sales price. However, foreign firms ‘cherry pick’ high‐quality targets to expand R&D rather than to downsize. Otherwise, rivals expand R&D, making the acquisition unprofitable. Thus, our model predicts that acquired affiliates invest more in R&D than greenfield affiliates. Using affiliate data, we find evidence that acquired affiliates have a higher level of sequential R&D intensity than greenfield affiliates.     

Downstream labeling and upstream price competition

This paper analyses the economic consequences of labeling in a setting with two vertically related markets. Labeling on the downstream market affects upstream price competition through two effects: a differentiation effect and a ranking effect. The magnitude of these two effects determines who in the supply chain will receive the benefits and who will bear the burden of labeling. For instance, whenever the ranking effect dominates the differentiation effect, the low-quality upstream firm loses from labeling while all downstream actors are individually better off. By decreasing the low-quality input price, the label acts as a subsidy and leads to an increase of the downstream market welfare. This analysis furthers our understanding of the economic consequences of labeling in cases like those of GMOs or restaurants.     

A re-examination of the “zero is enough” hypothesis in the emergence of financial stylized facts

In recent years, a growing literature has claimed that the market microstructure is sufficient to generate the so-called stylized facts without any reference to the behaviour of market players. Indeed, qualitative stylized-facts can be generated with zero-intelligence traders (ZITs) but we stress that they are without any quantitative predictive power. In this paper we show that in most of the cases, such qualitative stylized facts hide unrealistic price motions at the intraday level and ill-calibrated return processes as well. To generate realistic price motions and return series with adequate quantitative values is out-of-reach using pure ZIT populations. To do so, one must increasingly constrain agents?? choices to a point where it is hard to claim that their behaviour is completely random. In addition we show that even with highly constrained ZIT agents, one cannot reproduce real time series from these. Except in a few cases, first order moments of ZITs never equal real data ones. We therefore claim that stylized facts produced by means of ZIT agents are useless for financial engineering.     

DO WEALTH DIFFERENCES AFFECT FAIRNESS CONSIDERATIONS?*

The influence of relative wealth on fairness considerations is analyzed in an ultimatum game experiment in which participants receive large and widely unequal initial endowments. Subjects initially demonstrate a concern for fairness. With time however, behavior becomes at odds with both subgame perfection and fairness. Evidence of learning is detected for both proposers and receivers in the estimation of a structural reinforcement learning model. The estimation results suggest that, guided by foregone best responses and an acquired sense of deservingness, rich subjects become more selfish, whereas poor subjects, influenced only by their own experience, learn to tolerate this behavior.     

Collective consumption and welfare

Abstract.  In this paper, we present a collective model of household demand based on Pareto‐efficiency. In addition, we suppose that (a) each household member is egoistic and consumption is purely private, (b) there is a set of distribution factors and (c) there is one exclusive good. Then we derive the testable restrictions that are implied by this theoretical setting and show how welfare comparisons at the individual level can be performed. JEL classification: D11     

WHICH AGGLOMERATION EXTERNALITIES MATTER MOST AND WHY?

This paper revisits the ongoing discussion on the importance of agglomeration externalities – specifically specialization, diversity and competition effects – that may contribute to innovation, productivity and urban employment growth. Previous meta‐analyses suggested that the evidence on agglomeration externalities is strongly context‐specific. Expanding an earlier analysis of 31 articles, we seek to draw in this paper more robust conclusions by means of the statistical evidence for agglomeration externalities presented in 73 scientific articles, all building on the seminal work of Glaeser et al. (1992). Our results confirm that the heterogeneity among studies is huge and can only be partially accounted for by means of an ordered probit analysis. Additionally, some evidence of publication bias is found. We conclude that the conventional lines of inquiry in this literature may now have reached strongly diminishing returns. New lines of inquiry, using rich micro‐level data on firms and workers, dynamic general equilibrium models at the macro level, more attention for spatial and temporal variation in the impacts of agglomeration, and further investigations into the spatial scope of externalities are promising avenues for further research that can enhance our understanding of how agglomeration externalities continue to fuel our increasingly urbanized world.     

Transportation in disaster response operations

Disasters are extraordinary situations that require significant logistical deployment to transport equipment and humanitarian goods in order to help and provide relief to victims. An efficient response helps to reduce the social, economic and environmental impacts. In this paper, we define and formulate a practical transportation problem often encountered by crisis managers in emergency situations. Since optimal solutions to such a formulation may be achieved only for very small-size instances, we developed an efficient genetic algorithm to deal with realistic situations. This algorithm produces near optimal solutions in relatively short computation times and is fast enough to be used interactively in a decision-support system, providing high-quality transportation plans to emergency managers.     

Relative deprivation,reference groups and the assessment of standard of living

This paper proposes two new indices of relative deprivation, derived from an extension of the concept of generalized Gini to the measurement of distributional change. Population- and income-weighted relative deprivation indices are then defined and, using panel data from the Consortium of Household Panels for European Socio-Economic Research (CHER), we check which of the various ways of defining individual deprivation best fits the answers given by individuals on the degree of their satisfaction with income. We find that the deprivation indices proposed are consistently and negatively correlated with income satisfaction as reported by respondents, that income weighted measures fit better than population weighted measures and that this fit improves with countries that experienced deep institutional changes such as the transitional economies of Eastern Europe.     

Modeling the Impacts of Corporate Commitment on Climate Change

The aim of this paper is to propose an integrative framework for understanding the determinants of business strategies to reduce greenhouse gas emissions and the impact of these determinants on performance. The proposed structural equation model is based on a survey of 319 Canadian manufacturing firms. The study calls into question the traditionally positive relationship between a firm's environmental commitment and its economic motivations. However, the results also show a win–win relationship between the commitment to reduce greenhouse gas emissions and financial performance. This study contributes to the understanding of the motivations underlying the efforts manufacturers make to tackle climate change and their economic benefits. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment.     

Incumbency advantage and its value

Markets with network effects are typically concentrated. The aim of this paper is to discuss some recent work on “incumbency advantage.” That is, the fact that firms already installed generate higher profits than entrants even if the latter offer identical or even better terms (in terms of price and quality) to consumers. In particular, we review recently known sources of the advantage and potential mitigating factors and point to a number of open issues.