Joint Quantity/Quality Management of Groundwater

Economic literature on groundwater managementhas traditionally been split into two areas: there are papers that evaluate different schemes of dynamicaquifer management, considering that pumping costs vary with stock but ignoring water quality. On the other hand, there are papers that considercontamination problems caused by specificpollutants. This paper presents two alternative models for joint quantity-quality management, and it shows that existing models are in fact special cases of these. The framework isdynamic and considers both the stock of waterquantity and a stock measure of water quality. Optimal taxes are derived, and shown to be different from those in existing quantity-only or quality-only models. Implementationproblems are briefly discussed.     

Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing

Clickstream data are defined as the electronic record of Internet usage collected by Web servers or third-party services. The authors discuss the nature of clickstream data, noting key strengths and limitations of these data for research in marketing. The paper reviews major developments from the analysis of these data, covering advances in understanding (1) browsing and site usage behavior on the Internet, (2) the Internet's role and efficacy as a new medium for advertising and persuasion, and (3) shopping behavior on the Internet (i.e., electronic commerce). The authors outline opportunities for new research and highlight several emerging areas likely to grow in future importance. Inherent limitations of clickstream data for understanding and predicting the behavior of Internet users or researching marketing phenomena are also discussed.     

Tourism and regional development: a spatial econometric model for Portugal at municipal level

Portuguese Economic Journal - This study examines the importance of tourism as a factor for regional economic development in Mainland Portugal, emphasizing the inter-regional spatial spillover...     

NINA/LILA debtors under the Portuguese Insolvency Act: A hidden problem in plain sight?

No income, no assets (NINA) and low income, low assets (LILA) debtors are a non‐negligible part of the increasingly ‘financialized’ market economy. Falling outside the financial market or accessing it through low quality financial products, NINA/LILA debtors appear to be under prioritized by both legal and judicial regimes and public policies. Focusing on the legal and judicial dimension, and taking as an illustration the Portuguese context, we discuss how preinsolvency and insolvency solutions still remain ill‐adjusted for such cases. In spite the existence of some legal provisions aiming at fostering access to law and courts regardless individuals' financial conditions, they do not perform very well with insolvent debtors lacking a regular income. Addicionally, there are non‐legal barriers that prevent those with less economic means to fight properly for their social and economic rights.     

Taxation without commitment

This paper considers a Ramsey model of linear capital and labor income taxation in which a benevolent government cannot commit ex-ante to a sequence of policies for the future. In this setup, if the government is forced to keep budget balance in every period, then it may not be able to sustain zero capital taxes in the long run, as shown in Benhabib and Rustichini (J Econ Theory 77:231–259, 1997) and Phelan and Stachetti (Econometrica 69:1491–1518, 2001). However, (Dominguez in J Econ Theory 135:159–170, 2007) shows that if the government is allowed to borrow and lend to households, the optimal capital income tax still converges to zero in the long run, as long as the value of defaulting is independent of the level of government debt. This paper provides a game theoretic setup with government debt where the value of the worst equilibrium only depends on the initial level of capital and can be determined in advance. This implies that under our assumptions the best sustainable equilibrium has zero capital taxes in the long run, even in the absence of government commitment.     

Bank merger and acquisitions activity in the EU: much ado about nothing?

This paper investigates the patterns of consolidation within the European banking industry and examines the efficiency of the banks involved in the merger and acquisitions (M&A) activity to determine whether their performance improved as a result of M&A decisions. The performance of these banks is compared with that of other large banks, which have chosen alternative routes of development. The period covered is 1998 to 2004. The findings suggest that banks involved in M&A activity are more efficient after the M&A or when compared with other large banks. Country-specific characteristics appear to play an important role in explaining the results.     

Is it all about awareness? The normalization of coastal risk

Coastal risk is already high in several parts of the world and is expected to be amplified by climate change, which makes it necessary to outline effective risk management strategies. Risk managers assume that increasing awareness of coastal risk is the key to public support and endorsement of risk management strategies – an assumption that underlies a common worldview on the public understanding of science, which has been named the deficit model. We argue that the effects of awareness are not as straightforward. In particular, awareness of coastal hazards might not lead to more technically accurate risk perceptions. Based on research on risk perception normalization, we explored the hypothesis that coastal risk awareness reduces coastal risk perception – in particular the perceived likelihood of occurrence of coastal hazards – through its effect on reliance on protective measures to prevent risk. Individuals can rely on protective measures, even when those are not effective, as a positive illusion to reduce risk perception. This effect might be stronger for higher probability hazards and for permanent residents of costal zones. Data from 410 individuals living in coastal zones corroborated most of our expectations. Global results demonstrated a risk normalization effect mediated by reliance on current measures. Additional analyses made clear that this effect occurred in 2 of the 5 high-probability hazards (flood and storm), and not in the low-probability hazard (tsunami). Normalization might be more likely among high-probability hazards which entail catastrophic and immediate impacts. This effect was also found among permanent residents, but not among temporary residents. Results imply that coastal risk management might benefit from (a) taking risk perception normalization effects into account, (b) tailoring strategies for permanent and temporary residents and (c) promoting a higher public engagement, which would facilitate a more adaptive and effective coping with coastal risk than the use of positive illusions.     

Managing interdependencies in supplier networks

Building and managing a supplier base has been referred to in the literature as a key aspect of supplier management. Scholars have proposed a number of models aimed at enhancing the effectiveness of supplier network management, mainly based on a portfolio approach. In the IMP tradition of research, those models are often criticized as they ignore the interdependencies between the different existing dyadic relationships of a focal buyer company and its suppliers. Such interdependencies are the main focus of this paper, which has four objectives: (1) To analyze the types of relationships linking suppliers, (2) to understand the factors and dynamics underlying the creation and management of these relationships (3) to uncover existing links between buyer-supplier and supplier-supplier relationships, and (4) to clarify how different configurations of supplier relationship interactions impact on the performance of the actors involved. The paper discusses two empirical case studies, using the supplier networks of two focal buyer companies. We find that supplier interdependencies are mainly a by-product of the buyer-supplier dyads. Furthermore, the nature and dynamics of these dyads are a strong determinant of the scope and frequency of supplier connections and the corresponding effects on performance.     

Spatial Models in Marketing

Marketing science models typically assume that responses of one entity (firm or consumer) are unrelated to responses of other entities. In contrast, models constructed using tools from spatial statistics allow for cross-sectional and longitudinal correlations among responses to be explicitly modeled by locating entities on some type of map. By generalizing the notion of a map to include demographic and psychometric representations, spatial models can capture a variety of effects (spatial lags, spatial autocorrelation, and spatial drift) that impact firm or consumer decision behavior. Marketing science applications of spatial models and important research opportunities are discussed. This paper is based upon the discussions of the Spatial Models in Marketing seminar at the Sixth Invitational Choice Symposium, June 2004. Eric T. Bradlow, Bart Bronnenberg and Gary J. Russell served as co-chairs of the session.