3 resultados para Android Market application

em Aston University Research Archive


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We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the average firm is financially constrained, but also estimate a measure of the degree of the constraint for each firm and for each time period, and also the marginal impact of firm characteristics on this measure. We then apply the stochastic frontier approach to a panel of Indian manufacturing firms, for the 1997–2006 period. In our application, we highlight and discuss the aforementioned advantages, while also demonstrating that the stochastic frontier approach generates regression estimates that are consistent with the stylised intuition found in the literature on financial constraint and the wider literature on the Indian credit/capital market.

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This research project has developed a novel decision support system using Geographical Information Systems and Multi Criteria Decision Analysis and used it to develop and evaluate energy-from-waste policy options. The system was validated by applying it to the UK administrative areas of Cornwall and Warwickshire. Different strategies have been defined by the size and number of the facilities, as well as the technology chosen. Using sensitivity on the results from the decision support system, it was found that key decision criteria included those affected by cost, energy efficiency, transport impacts and air/dioxin emissions. The conclusions of this work are that distributed small-scale energy-from-waste facilities score most highly overall and that scale is more important than technology design in determining overall policy impact. This project makes its primary contribution to energy-from-waste planning by its development of a Decision Support System that can be used to assist waste disposal authorities to identify preferred energy-from-waste options that have been tailored specifically to the socio-geographic characteristics of their jurisdictional areas. The project also highlights the potential of energy-from-waste policies that are seldom given enough attention to in the UK, namely those of a smaller-scale and distributed nature that often have technology designed specifically to cater for this market.

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The paper examines the policy responses in the UK West Midlands to the successive crises at the car maker MG-Rover. Whilst the firm’s eventual collapse in 2005 was a substantial shock to the West Midlands economy, the impact was much less than was anticipated when the firm was first threatened with closure in 2000 at the time of its break-up and sale by the German car firm BMW. Although the firm struggled as an independent producer, the five years of continued production until 2005 and the work of the initial Rover Task Force (RTF1), enabled many suppliers to adjust and diversify away from their hitherto dependence on MG-Rover resulting in as many as 10,000–12,000 jobs being ‘saved’. This first intervention was later followed by a programme to help ex-workers to find new jobs or re-train and assist supply firms to continue trading in the short term. Examination of the effectiveness of these emergency initiatives enables a wider discussion about the nature of industrial policy in the region and the work of the local regional development agency’s cluster-based approach to economic development and business support. Whilst the actions taken were successful in a number of aspects, there were a number of significant ‘failures’ at both national and local level. The MG-Rover case also illustrates a number of critical issues pertaining to regionally based cluster policies and the organization of cluster management groups where the ‘cluster’ in question not only crosses both administrative and ‘sector’ boundaries but is also subject to the imperatives of the global market car market.