The market for preferences

Learning processes are widely held to be the mechanism by which boundedly rational agents adapt to environmental changes. We argue that this same outcome might also be achieved by a different mechanism, namely specialisation and the division of knowledge, which we here extend to the consumer side of the economy. We distinguish between high-level preferences and low-level preferences as nested systems of rules used to solve particular choice problems. We argue that agents, while sovereign in high-level preferences, may often find it expedient to acquire, in a pseudo-market, the low-level preferences in order to make good choices when purchasing complex commodities about which they have little or no experience. A market for preferences arises when environmental complexity overwhelms learning possibilities and leads agents to make use of other people's specialised knowledge and decision rules.

Explaining variations in the knowledge economy in three small wealthy countries

At a broad level, it has been shown that different institutional contexts, policy regimes and business systems affect the kinds of activities in which a nation specialises. This paper is concerned with the way in which different national business systems affect the nature of participation of a nation in the knowledge economy. The paper seeks to explain cross-national variations in the knowledge economy in the Australia, Denmark and Sweden with reference to dominant characteristics of the business system. Although Australia, Denmark and Sweden are all small wealthy countries, they each have quite distinctive business systems. Australia has been regarded as a variant of the competitive business system and has generally been described as an entrepreneurial economy with a large small firm population. In contrast Sweden has a coordinated business system that has favoured large industrial firms. The Danish variant of the coordinated model, with its well-developed vocational training system, is distinguishable by its large population of networked small and medium size enterprises. The three countries also differ significantly on two dimensions of participation in the knowledge economy. First, there is cross-national variation in patterns of specialisation in knowledge intensive industries and services. Second, the institutional infrastructure of the knowledge economy (or the existing stock of knowledge and competence in the economy, the potential for generation and diffusion a new knowledge and the capacity for commercialisation of new ideas) differs across the three countries. This paper seeks to explain variations in these two dimensions of the knowledge economy with reference to characteristics of the business system in the three countries.

Community paediatrics: Soft science or firm foundations?

Community paediatrics strives to integrate the biology of health into the social and psychological worlds within which children grow and develop. Consumer demand for limited community paediatric clinical services is increasing and medico-legal pressures escalate professional and personal concern. Meanwhile, the profession, through training and professional support, has struggled to keep up. Research into community paediatrics and its integration into policy and clinical practice remains limited, raising the perception that it is a 'soft' science. Our viewpoint is that necessary progress in this field requires leadership, apprenticeship and research. We argue that to build firm foundations for the future requires structures to enable clinical specialisation and continuing professional development in this area.

The Integration of Rural Households Into Ruminant Livestock Industries in China

A major determinant of rural development in China is the way by which rural households integrate with rural industries. Three forms of integration – market integration, vertical integration and integration through local groups – are investigated. Policy measures that may facilitate household integration, household specialisation and market segmentation are identified. Findings for the ruminant livestock sector are widely applicable to other agricultural industries in China.