Corporate Responsibility and the Collegial Field

This article is based on 21 interviews of informants actively engaged with corporate responsibility in Sweden. The article introduces a new concept—the “collegial field”—which is helpful in understanding the course of events. With systems that are more open to other organizations, horizontal groupings with common interests become more influential. Collegial fields can also be relevant for understanding other activities in organizations than corporate responsibility.     

Interim Realities

Abstract

This paper presents findings from a study of information technology implementation practices in National Health Service hospitals in England. The results suggest that there is a general direction of travel, which involves the progressive linking together of individual systems, so that they are interoperable. We argue that the findings are consistent with meta-governance arguments, but that it is necessary to complement this perspective with an understanding of the nature of information technologies in order to understand them properly. We suggest that ‘interim systems’ will be the reality on the ground for many health care organizations for the foreseeable future.     

Forecasting the US term structure of interest rates using a macroeconomic smooth dynamic factor model

We extend the class of dynamic factor yield curve models in order to include macroeconomic factors. Our work benefits from recent developments in the dynamic factor literature related to the extraction of the common factors from a large panel of macroeconomic series and the estimation of the parameters in the model. We include these factors in a dynamic factor model for the yield curve, in which we model the salient structure of the yield curve by imposing smoothness restrictions on the yield factor loadings via cubic spline functions. We carry out a likelihood-based analysis in which we jointly consider a factor model for the yield curve, a factor model for the macroeconomic series, and their dynamic interactions with the latent dynamic factors. We illustrate the methodology by forecasting the U.S. term structure of interest rates. For this empirical study, we use a monthly time series panel of unsmoothed Fama–Bliss zero yields for treasuries of different maturities between 1970 and 2009, which we combine with a macro panel of 110 series over the same sample period. We show that the relationship between the macroeconomic factors and the yield curve data has an intuitive interpretation, and that there is interdependence between the yield and macroeconomic factors. Finally, we perform an extensive out-of-sample forecasting study. Our main conclusion is that macroeconomic variables can lead to more accurate yield curve forecasts.     

The impact of coding time on the estimation of school effects

Multilevel growth curve models are becoming invaluable in educational research because they model changes in student outcomes efficiently. The coding of the time variable in these models plays a crucial role as illustrated in this study for the case of a three-level quadratic growth curve model. This paper shows clearly how the choice of a time coding affects school effects estimates and their interpretation. A new definition for school effects for growth curve models with random intercepts and slopes is proposed. This study recommends that the choice of a time coding should not only be based on the ease of interpretation and model convergence but also on its consequences on the student status and growth parameter estimates. The current application illustrates that in general the school effects for student growth in well-being and language achievement in secondary school, are greater for student growth than for student status.     

Transport subsidies, system choice, and urban sprawl

This paper analyzes the effect of transport subsidies on the spatial expansion of cities, asking whether such subsidies are a source of undesirable urban sprawl. Even though the cost-reducing effect of transport subsidies is offset by a higher general tax burden (which reduces the demand for space), the analysis shows that subsidies nevertheless lead to spatial expansion of cities. If the transport system exhibits constant returns to scale, the subsidies are inefficient, making the urban expansion they entail undesirable. The paper also studies transport “system choice,” with the city portrayed as selecting its transport system from along a continuum of money cost/time cost choices. The analysis shows that subsidies inefficiently bias choice in the direction of a high money cost/low time cost option. Lastly, the paper considers system choice in a city with rich and poor groups, showing that the rich favor a system with a high money cost and low time cost, but that their choice, if implemented, leads to a city whose spatial size is smaller than optimal. Thus, rich control of system choice does not lead to urban sprawl.     

Nanobiomedical science in China: a research field on the rise

Medical and health care applications of nanotechnology have increasingly attracted research and innovation attention. Nano-biomedical science (NBMS) is a term we use to define this emerging domain. As China is one of the leading countries in nanotechnology, but lacks a long history as a biosciences leader, this paper explores the competitive positioning of China in the development of NBMS. Specifically, this paper profiles the research patterns of Chinese NBMS in comparison with the four other largest countries in NBMS, using bibliometric techniques. The results indicate that China is a leader in NBMS, leveraging its strengths in chemistry and physics in the broader nanotechnology domain. However, China's relative weakness in traditional biomedical disciplines, and its lack of presence in highly influential global journals, could prove to be limiting factors.     

Pathways from discovery to commercialisation: using web sources to track small and medium-sized enterprise strategies in emerging nanotechnologies

This paper presents results from a pilot study of small and medium-sized enterprises (SMEs) based on a web-scraping and content analysis of current and archived nanotechnology enterprise websites. We use this approach to explore nanotechnology SMEs transitions from discovery to commercialisation and understand how transitions vary by SME characteristics, technology and market sectors. Our findings suggest that although the idealised linear innovation model is present, important instances of divergence exist. Cluster analysis uncovered sectoral differences but even more distinctions based on the age, funding source, and research intensity.     

Measuring inflation expectations: a survey data approach

Measures of expected inflation from consumer surveys are derived using a modification of the Carlson-Parkin probability approach, which does not assume unbiasedness of expectations, makes use of survey data on expected future as well as perceived past price developments and allows for time varying response thresholds. We apply this method to the normal, central-t and noncentral-t distributions, thereby investigating the effects of nonnormal peakedness and asymmetry. We find that the effects on expected inflation of the former are small and of the latter are substantial, without increasing the accuracy of the expectations, however. Expected and actual inflation show substantial persistence, and, for most of our expectations measures, are cointegrated. Furthermore, the forecast error is stationary, implying weak-form rationality. The co-movement of currently observed expected inflation measures and the unobserved 12-months-ahead inflation rate is of interest for policy makers, for example in the direct inflation targeting strategy. Notwithstanding this, caution is warranted in using them as information variables because the inflation expected by consumers is no causal determinant of actual future inflation.