The Role and Effectiveness of Public – Private Partnerships (NHS LIFT) in the Development of Enhanced Primary Care Premises and Services:Report for the National Institute for Health Research Service Delivery and Organisation programme

The research project analysed the role and effectiveness of LIFT via a multi-method study which included semi-structured interviews with policy elites and users, as well as case studies and an exploratory analysis of the financial characteristics of three LIFT Companies. While the team felt that it was able to identify key aspects relating to the advantages and drawbacks surrounding LIFT, some aspects relating to the representativeness of the study was adversely affected by a reluctance of PCTs to participate in the case study analysis and commercial confidentiality restrictions. The study was nonetheless able to identify important issues in relation to the funding and procurement of primary care premises and services.

Structure and Change: Douglass North's Economics

Douglass North is a pivotal figure in the development of the 'new' economic history as well as the 'new' institutional economics. However, the relationship between these two aspects of his thinking remains undeveloped in previous critical assessments of North's work. The relationship is clarified here. The evidence presented indicates that three distinct phases can be distinguished in his writings between the 1950s and the 2000s. The paper relates these changing views to the shifting mainstream within economics and the effects that this shift has in turn had on economic history research. Economic history has adapted to economic research by abandoning some practices associated with the earlier cliometric literature. Furthermore, North is unique to the extent that his recent writings represent something of a convergence with 'old' institutionalism. © 2010 Taylor & Francis.

Sustainable Value Added - ein neues Maß des Nachhaltigkeitsbeitrags von Unternehmen am Beispiel der Henkel KGaA

This article introduces a new approach to measure corporate contributions to sustainability called Sustainable Value Added. Existing approaches to measure sustainability are based on a comparative assessment of environmental and social burdens and can thus be characterised as burden-based approaches. However, these approaches suffer from severe limitations as a comparative assessment and aggregation of all relevant environmental and social burdens fails in practice. In contrast to these burden-based approaches Sustainable Value Added is value-based. It determines the value that is created by the reduced or increased use of different environmental and social resources. For this purpose the use of environmental and social resources is valued at their opportunity cost. Sustainable Value Added allows an integrated assessment of the economic, environmental, and social performance of a company and expresses the corporate contribution to sustainability in a single monetary indicator. This article explains the theoretical background of Sustainable Value Added, relates it to existing approaches to measure sustainability, and - using the example of Henkel KGaA - demonstrates its practical applicability.

PANEL DATA UNIT ROOT TEST WITH FIXED TIME DIMENSION

The consideration of the limit theory in which T is fixed and N is allowed to go to infinity improves the finite-sample properties of the tests and avoids the imposition of the relative rates at which T and N go to infinity.

TESTING FOR STATIONARITY IN HETEROGENEOUS PANEL DATA IN THE CASE OF MODEL MISSPECIFICATION

This paper investigates the performance of the tests proposed by Hadri and by Hadri and Larsson for testing for stationarity in heterogeneous panel data under model misspecification. The panel tests are based on the well known KPSS test (cf. Kwiatkowski et al.) which considers two models: stationarity around a deterministic level and stationarity around a deterministic trend. There is no study, as far as we know, on the statistical properties of the test when the wrong model is used. We also consider the case of the simultaneous presence of the two types of models in a panel. We employ two asymptotics: joint asymptotic, T, N -> infinity simultaneously, and T fixed and N allowed to grow indefinitely. We use Monte Carlo experiments to investigate the effects of misspecification in sample sizes usually used in practice. The results indicate that the assumption that T is fixed rather than asymptotic leads to tests that have less size distortions, particularly for relatively small T with large N panels (micro-panels) than the tests derived under the joint asymptotics. We also find that choosing a deterministic trend when a deterministic level is true does not significantly affect the properties of the test. But, choosing a deterministic level when a deterministic trend is true leads to extreme over-rejections. Therefore, when unsure about which model has generated the data, it is suggested to use the model with a trend. We also propose a new statistic for testing for stationarity in mixed panel data where the mixture is known. The performance of this new test is very good for both cases of T asymptotic and T fixed. The statistic for T asymptotic is slightly undersized when T is very small (