R&D Subsidies,Spillovers, and Privatization in Mixed Markets

We examine the use of subsidies to research and development (R&D) in a mixed and a private duopoly market. We show that the socially optimal R&D subsidy is increasing in the degree of spillovers, but it is lower in the private duopoly. The optimal R&D subsidy leads to an increase in total R&D and production; however, it does not lead to the equalization of per firm output and therefore to an efficient distribution of production costs. We also find that privatization of the public firm reduces R&D activity and welfare in the duopoly market. This result stands even when optimal R&D subsidies are provided.     

THE BROTHER‐IN‐LAW EFFECT*

When a firm is forced to pay abnormally high wages, hiring transfers rents. This effectively endows the employer with the ability to grant favors, and he may wish to do so even at some cost to efficient production. We refer to this as the brother‐in‐law effect. This article analyzes its consequences. When the brother‐in‐law effect is due to unionization, decisions regarding both the number and type of workers employed could be inefficient; overemployment could obtain even relative to the workforce that would be employed without unionization. We also identify cases in which nepotism improves efficiency.     

TAX‐LIMITED REACTION FUNCTIONS

This paper models for the first time a spatial process in local tax policies in the presence of centrally imposed fiscal limitations. Focusing on the frequently encountered case of a tax rate cap, we evaluate three empirical approaches to the analysis of spatially dependent limited tax policies: (i) a Bayesian spatial approach for censored dependent variables; (ii) a Tobit corner solution model augmented with a spatial lag; (iii) a spatial discrete hazard model. The evidence arising from an investigation of severely state‐constrained local vehicle taxes in Italy suggests that ignoring tax limitations can lead to substantial underestimation of inter‐jurisdictional fiscal interaction. Copyright © 2011 John Wiley & Sons, Ltd.     

Do global CO2 emissions from fossil-fuel consumption exhibit long memory? a fractional-integration analysis

In this article we use an autoregressive fractionally integrated moving average approach to measure the degree of fractional integration of aggregate world CO₂ emissions and its five components – coal, oil, gas, cement, and gas flaring. We find that all variables are stationary and mean reverting, but exhibit long-term memory. Our results suggest that both coal and oil combustion emissions have the weakest degree of long-range dependence, while emissions from gas and gas flaring have the strongest. With evidence of long memory, we conclude that transitory policy shocks are likely to have long-lasting effects, but not permanent effects. Accordingly, permanent effects on CO₂ emissions require a more permanent policy stance. In this context, if one were to rely only on testing for stationarity and non-stationarity, one would likely conclude in favour of non-stationarity, and therefore that even transitory policy shocks have permanent effects. Our fractional-integration analysis highlights that this is not the case.     

Consumer Behavior Toward Eco-Labeled Minimally Processed Fruit Product

The authors proposed an analysis of the determinants of purchase intentions and willingness to pay for minimally processed fruit. For this purpose, on-field research was conducted that involved 589 consumers. A questionnaire, gathered in Italy and based on a Likert scale, was administered to investigate intentions to purchase minimally processed fruit from environmentally sustainable farms, simulating a minimally processed product with an eco-label. Via structural equation modeling, the authors develop propositions representing a theoretical approach in the context of purchasing food products. By analyzing two different types of consciousness (health and green), the deduced managerial implications make it possible to assess that the green consciousness influences the attitude and affects the choices and behaviors of consumers. The potential adoption of an eco-label on this kind of food product could be seen as a useful marketing tool for new markets.     

Self-reinforcing effects between housing prices and credit

The financial crisis has brought the interaction between housing prices and household borrowing into the limelight of the economic policy debate. This paper examines the nexus of housing prices and credit in Norway within a structural vector equilibrium correction model (SVECM) over the period 1986q2–2008q4. The results establish a two way interaction in the long-run, so that higher housing prices lead to a credit expansion, which in turn puts an upward pressure on prices. Interest rates influence housing prices indirectly through the credit channel. Furthermore, households’ expectations about the future development of their own income as well as in the Norwegian economy have a significant impact on housing price growth. Dynamic simulations show how shocks are propagated and amplified. When we augment the model to include the supply side of the housing market, these effects are dampened.     

Graph efficiency and productivity measures: an application to US agriculture

Hyperbolic measures of efficiency and productivity change with respect to a graph representation of production technology allow researchers to consider output and input dimensions simultaneously in measuring producer performance. Hyperbolic efficiency measures have been proposed, but empirical implementation has not followed, either in efficiency analysis or in productivity analysis. The objectives of this paper are to define hyperbolic performance measures on a graph representation of production technology, to motivate their use by stating some of their advantages over their radial counterparts, and to introduce a direct formulation to calculate them making use of Data Envelopment Analysis techniques. The ideas are illustrated by calculating hyperbolic efficiency and Malmquist productivity indexes for a US agricultural panel data set.     

Category management and consumer choice

This paper shows the results of an exploratory analysis of the structure of a complex product category: Wine. In complex categories, a usual strategy of consumers is the partitioning of alternatives into homogeneous subsets and the sequential eliminations of subsets until a product/brand is chosen from among few homogeneous alternatives in the last subset. To identify if there is such a kind of strategy and the product attributes involved is of great interest for the retailer. After a discussion of the different modelling alternatives of the choice process, the authors provide an application of the additive trees (ADDTREE) model to explore the hierarchical structure. The ADDTREE results provide a first overview of the competitive market structure of the wine category: competition becomes more intense as the wine category is partitioned by, first, the type of wine criteria and, second, the designation of origin (DO) criteria.