Classification and the relations of meaning

This paper intends to demonstrate the parallels between a qualitative methodology, component analysis, which is predominantly used in cognitive anthropology and linguistics, and the quantitative explorative method-cluster analysis. Social identities and their related structural categories serve as examples of the method. In the methodology and logic involved in the categorization of meaning, abstraction is the key difference between connotative and structural meaning. Abstraction and the identification of higher order categories in cluster analysis are compatible with the extraction of structural meaning from the semantic differential ratings of the affective meanings of identities. The dichotomy of exclusion and inclusion is the most relevant relation for the qualitative analysis of meaning and can be mathematically operationalized by Euclidean squared distance in k-means cluster analysis.     

Relationship marketing in the financial services industry: The importance of customer education,participation and problem management for customer loyalty

The effectiveness of relationship marketing efforts in services selling is to a large extent dependent on customers' commitment to increase the depth and breadth of their relationship with the organisation. In this study, we seek to extend current thinking by presenting a model that examines the relative importance of customer education, participation and problem management in driving customer loyalty. To test the relationships between these variables, we use data collected from 1,268 clients of a global financial services firm. Overall, the results support the hypothesised model and show customer education to be the strongest determinant of client loyalty. Current findings provide implications for multi-product financial institutions that are of theoretical and practical interest alike.     

Lobbying against environmental regulation vs. lobbying for loopholes

We analyze the determinants of environmental policy when two industry lobbies can seek a laxer policy that would apply to both industries and loophole lobbying that provides benefits specific to one industry. We determine the properties of the lobbying equilibrium, including the resulting emissions level. In many cases, higher effectiveness of loophole lobbying is detrimental for industries and beneficial for environmental quality, as it exacerbates the free-rider problem in the provision of general lobbying by inducing industries to turn towards loophole lobbying.     

On the design of optimal grandfathering schemes for emission allowances

This paper derives optimal schemes for the free allocation of emission allowances in a dynamic context. We consider emissions- and output-based allocation rules which allow for updating of the basis of allocation over time and thereby do not rely on historical data only. We show that such dynamic schemes do not necessarily induce inefficient outcomes. In closed trading systems with an absolute cap on emissions, grandfathering schemes which allocate allowances proportionally to past emissions are first-best. However, in open trading systems where allowances can be traded with outsiders, first-best allocation schemes must not depend on firm-specific decisions while second-best schemes correspond to a Ramsey rule of optimal tax differentiation and are generally based on both past emission and output levels.