The role, organisation and contribution of community enterprise to urban regeneration policy in the UK

This monograph investigates the organisation, constitution and delivery of community-based organisations which are normally called community enterprises in the UK. These are organisations which emerge from local communities at the neighbourhood level, work in partnership with the public and private sectors, and provide a range of services to meet social, economic and environmental needs. The main focus of the paper is to explore how these organisations contribute to local regeneration strategies, generate social capital and contribute towards the promotion of civil society in general. The main emphasis is on organisations in England and Wales but comparisons are made with the USA and other countries where relevant literature is available. The key questions to be answered relate to the organisation and management of these bodies; the extent to which they engage with and contribute to local regeneration strategies; and the impact they have particularly in acquiring and managing assets. The diversity of the sector, and the range, scale and level of benefits it can deliver is illustrated through five detailed case studies of community enterprises established at different times, in different geographical locations and with different objectives and funding regimes. But, whilst the UK political economy is moving towards less state intervention and more community self-help, the community development corporations in the USA provide an indication of the future direction community enterprises might take in the UK as part of a broad trend towards civic capacity building.

Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data

The objective of this study was to develop, test and benchmark a framework and a predictive risk model for hospital emergency readmission within 12 months. We performed the development using routinely collected Hospital Episode Statistics data covering inpatient hospital admissions in England. Three different timeframes were used for training, testing and benchmarking: 1999 to 2004, 2000 to 2005 and 2004 to 2009 financial years. Each timeframe includes 20% of all inpatients admitted within the trigger year. The comparisons were made using positive predictive value, sensitivity and specificity for different risk cut-offs, risk bands and top risk segments, together with the receiver operating characteristic curve. The constructed Bayes Point Machine using this feature selection framework produces a risk probability for each admitted patient, and it was validated for different timeframes, sub-populations and cut-off points. At risk cut-off of 50%, the positive predictive value was 69.3% to 73.7%, the specificity was 88.0% to 88.9% and sensitivity was 44.5% to 46.3% across different timeframes. Also, the area under the receiver operating characteristic curve was 73.0% to 74.3%. The developed framework and model performed considerably better than existing modelling approaches with high precision and moderate sensitivity.

Agent-Based Simulation of the Evolution of Enterprise Carbon Assets

Carbon assets have the value of carbon emission reduction in enterprises and are closely relevant to business images and competitiveness. In this paper, the connotation of carbon assets is clarified. The definition of carbon assets in enterprise business contexts are also provided. In addition, an interactive evolution framework is established to demonstrate the emergent property of carbon assets using multi-agent-based simulation, which can bring a new perspective for enterprises to manage their carbon assets and improve low-carbon competitiveness.