A multi-level analysis of sustainable mobility transitions: Niche development in the UK and Sweden

A wide range of intractable problems such as polluting emissions, noise, accidents, resource depletion, and inaccessibility of amenities are associated with the current transport regime. Given the slow movement towards a more sustainable mobility system, more radical, systemic innovation - a ‘transition’ - is required. Broadly speaking, this may be achieved via three routes: technological change, modal shift, and reduced travel demand. Drawing on concepts from the transitions literature (e.g., [Geels, F.W.: Technological Transitions and System Innovations: A Co-evolutionary and Socio-Technical Analysis, Edward Elgar, Cheltenham, 2005.]), we conceptualise each of these routes as a bundle of niche activities within an Area of Innovation, deviating to differing degrees from the current mobility ‘regime’. We present empirical evidence and indications of ongoing development of niches in these three areas within the UK and Sweden, and explore processes of co-evolution, divergence and tension within and between niches. Findings indicate recent market penetration of novel transport technologies, more advanced than modal shift or demand management activities; however, different transport technologies are more successful in each country. We also identify examples of a close relationship between development of radical vehicle/fuel technologies and provision of mobility services; and information technology as a driver in all three areas of innovation. We conclude that future innovation in transport depends on diversity, hybridisation, and co-evolution of niches. Finally, policy implications are discussed.     

The welfare effects of disclosure under cognitive dissonance

Atlantic Economic Journal -     

Changing Risk Premia: Evidence from a Small Open Economy

Little is known about the differences in the relation between risk and return in large economies such as the U.S. compared with smaller, less studied, markets. In this paper, Sweden serves as a representative for small open economies. The price of risk on the Swedish stock market is estimated using a conditional asset pricing model that allows for time variation in the risk. Four different GARCH-M models are used in the econometric specification. The estimates of the price of risk are invariably positive and significant, and we conclude that there exists a time-varying risk premium in the Swedish stock market. Our results show that there are small differences in the preferences towards risk of representative investors in small and large economies.     

Slow adjustment to shocks or true hysteresis?

In Western Europe in the last two decades the unemployment rate has increased during cyclical downturns only to persist at or around the higher level in the following phase of economic recovery. One of the most notable exceptions to this pattern of unemployment persistence, often termed hysteresis, is the United States. The following article examines the empirical evidence and the possible theoretical explanations for this difference.     

TECHNOLOGY AND SPAN OF CONTROL: WOODWARD REVISITED

This study of production operations in 95 New Jersey manufacturing firms explains the widely replicated curvilinear relationship between first line supervisory span of control and Woodward's technological complexity scale. Revisiting Woodward led to the initial proposition that the relationship was a by-product of the differing degree of task variability among the major types of production operations. A subsequent literature review of administrative requirements suggested the importance of size, complexity and automaticity on supervisory span of control. Our data indicate that variations in the span of control of production operations classified according to Woodward's scale are attributable to the underlying effects of size and task complexity. Technology, whether operationalized as Woodward's production types or automaticity of machinery explained little variation in the span of control of first line supervisors.     

Income distribution and inequality measurement: The problem of extreme values

We examine the statistical performance of inequality indices in the presence of extreme values in the data and show that these indices are very sensitive to the properties of the income distribution. Estimation and inference can be dramatically affected, especially when the tail of the income distribution is heavy, even when standard bootstrap methods are employed. However, use of appropriate semiparametric methods for modelling the upper tail can greatly improve the performance of even those inequality indices that are normally considered particularly sensitive to extreme values.