Regional implications of macro-economic, sectoral and company changes in the development of technopoles in Britain and France

This paper reports the proceedings of a conference held at Reading University in 1993 which addressed the issues of new technological developments at the regional and sub-regional levels in Britain and France. These new technological clusters - the `Technopoles' - are investigated in a series of papers in both English and French which examines their spatial, sectoral and economic aspects to determine what lessons can be learned from their development and what their future economic significance is likely to be. Two recurring themes are of particular significance in the papers - the link between R& D and regional development, and the different forms which innovation assumes within the various technopoles under scrutiny.

Macro-economic and financial determinants of comovement across global real estate security markets

This paper models the determinants of integration in the context of global real estate security markets. Using both local and U.S. Dollar denominated returns, we model conditional correlations across listed real estate sectors and also with the global stock market. The empirical results find that financial factors, such as the relationship with the respective equity market, volatility, the relative size of the real estate sector and trading turnover all play an important role in the degree of integration present. Furthermore, the results highlight the importance of macro-economic variables in the degree of integration present. All four of the macro-economic variables modeled provide at least one significant result across the specifications estimated. Factors such as financial and trade openness, monetary independence and the stability of a country’s currency all contribute to the degree of integration reported.

Making the most of PAS data: Macro- and micro-level studies of Romano-British settlement

The Portable Antiquities Scheme (PAS) database includes records of over 225,000 artefacts of Roman date, with a wide geographical coverage and the potential to contribute to our understanding of Romano-British landscapes and settlement at several scales of analysis. This paper draws upon the author’s doctoral research to describe regional case studies from six counties (Wiltshire, Worcestershire, Warwickshire, Northamptonshire, North Lincolnshire and Cumbria) on the use of PAS data. The data have value nationally and regionally as general guides to ancient settlement patterns, but it is arguably at the micro-scale that they have the most potential. With reference to detailed landscape studies from parts of Warwickshire and Wiltshire, the paper argues that sites represented by PAS data are often rural settlements that show evidence for continued activity throughout the Roman period. The paper demonstrates that with an appropriate methodology PAS data can be an immensely valuable archaeological resource, particularly when interpreted at multiple scales, and can be considerably more than a guide to broad distributions of Roman finds.

The effect of macro and micro-nutrient fortification of biscuits on their sensory properties and on hedonic liking of older people

BACKGROUND: Under-nutrition in older adults is widespread. Oral nutritional supplement beverages (ONS) are prescribed, yet consumption by older people is often insufficient. A variety of supplement formats may improve nutrient intake. This study developed protein and micro-nutrient fortified biscuits and evaluated their sensory attributes and liking by older people. Two micro-nutrient strategies were taken, to match typical ONS and to customise to the needs of older people. RESULTS: Oat biscuits and gluten-free biscuits developed contained over 12% protein and over 460 kcal 100 g-1 . Two small (40 g) biscuits developed to match ONS provided approximately 40% of an ONS portion of micro-nutrients and 60% of macro-nutrients; however, the portion size was considered realistic whereas the average ONS portion (200 mL) is excessive. Biscuits developed to the needs of older adults provided, on average, 18% of the reference nutrient intake of targeted micro-nutrients. Sensory characteristics were similar between biscuits with and without micro-nutrient fortification, leading to no differences in liking. Fortified oat biscuits were less liked than commercial oat biscuits, partly attributed to flavour imparted by whey protein fortification. CONCLUSION: Macro- and micro-nutrient fortification of biscuits could provide an alternative fortified snack to help alleviate malnutrition in older adults.

Assessing macro uncertainty in real-time when data are subject to revision

Model-based estimates of future uncertainty are generally based on the in-sample fit of the model, as when Box-Jenkins prediction intervals are calculated. However, this approach will generate biased uncertainty estimates in real time when there are data revisions. A simple remedy is suggested, and used to generate more accurate prediction intervals for 25 macroeconomic variables, in line with the theory. A simulation study based on an empirically-estimated model of data revisions for US output growth is used to investigate small-sample properties.

Bank loan terms and conditions: is there a macro effect?

We examine whether macroeconomic factors contain significant information for bank loan contracting terms and conditions (T&Cs), over and above that of standard firm-specific or country-level institutional factors. Our estimation is based on a seemingly unrelated mixed-processes methodology that accommodates two salient data properties: (i) the fact that loan contract terms are determined jointly as a single lending contract, and (ii) the fact that the elements of loan T&Cs are generated by different distributional formats. Our findings indicate that cross-country variation accounts for a significant portion of observed variation in loan T&Cs. In addition, macroeconomic fundamentals significantly explain the “package” of loan T&Cs offered to corporate borrowers, with this effect being distinct from any influence that T&Cs receive from firm-specific factors, and also from country-specific institutional factors.

Influence of macro- and micronutrient fertilization on fungal contamination and fumonisin production in corn grains

The aim of this study was to investigate the effects of nutrients (nitrogen, zinc and boron) on fungal growth and fumonisins production in corn samples obtained at the beginning of grain formation and at harvest. Three nitrogen doses were applied to the corn plants through soil in combination with three zinc doses and two boron doses during sowing. Mycological analysis of grains, using Dichloran Rose-Bengal Chloramphenicol Agar, collected at the beginning of formation demonstrated a fungal population predominantly of yeasts. Analysis of freshly harvested corn revealed a higher frequency of Penicillium spp. (72%) and F verticillioides (27%). High Performance Liquid Chromatography analysis revealed that 100% of grains were contaminated with fumonisins B, at levels ranging from 0.3 to 24.3 mg/kg and 93% contaminated with fumonisin B(2) at levels ranging from 0.05 to 5.42 mg/kg. Nitrogen (50 kg/ha) in combination with boron (0.5 kg/ha) resulted in an increased fumonisin B2 production. (c) 2007 Elsevier Ltd. All rights reserved.

Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models

Background: Genetic variation for environmental sensitivity indicates that animals are genetically different in their response to environmental factors. Environmental factors are either identifiable (e.g. temperature) and called macro-environmental or unknown and called micro-environmental. The objectives of this study were to develop a statistical method to estimate genetic parameters for macro- and micro-environmental sensitivities simultaneously, to investigate bias and precision of resulting estimates of genetic parameters and to develop and evaluate use of Akaike’s information criterion using h-likelihood to select the best fitting model. Methods: We assumed that genetic variation in macro- and micro-environmental sensitivities is expressed as genetic variance in the slope of a linear reaction norm and environmental variance, respectively. A reaction norm model to estimate genetic variance for macro-environmental sensitivity was combined with a structural model for residual variance to estimate genetic variance for micro-environmental sensitivity using a double hierarchical generalized linear model in ASReml. Akaike’s information criterion was constructed as model selection criterion using approximated h-likelihood. Populations of sires with large half-sib offspring groups were simulated to investigate bias and precision of estimated genetic parameters. Results: Designs with 100 sires, each with at least 100 offspring, are required to have standard deviations of estimated variances lower than 50% of the true value. When the number of offspring increased, standard deviations of estimates across replicates decreased substantially, especially for genetic variances of macro- and micro-environmental sensitivities. Standard deviations of estimated genetic correlations across replicates were quite large (between 0.1 and 0.4), especially when sires had few offspring. Practically, no bias was observed for estimates of any of the parameters. Using Akaike’s information criterion the true genetic model was selected as the best statistical model in at least 90% of 100 replicates when the number of offspring per sire was 100. Application of the model to lactation milk yield in dairy cattle showed that genetic variance for micro- and macro-environmental sensitivities existed. Conclusion: The algorithm and model selection criterion presented here can contribute to better understand genetic control of macro- and micro-environmental sensitivities. Designs or datasets should have at least 100 sires each with 100 offspring.

WTROPIC : um gerador automático de macro células CMOS acessível via WWW

Este trabalho apresenta a pesquisa e o desenvolvimento da ferramenta para geração automática de leiautes WTROPIC. O WTROPIC é uma ferramenta para a geração remota, acessível via WWW, de leiautes para circuitos CMOS adequada ao projeto FUCAS e ao ambiente CAVE. O WTROPIC foi concebido a partir de otimizações realizadas na versão 3 da ferramenta TROPIC. É mostrado também, como as otimizações no leiaute do TROPIC foram implementadas e como essas otimizações permitem ao WTROPIC cerca de 10% de redução da largura dos circuitos gerados em comparação ao TROPIC. Como o TROPIC, o WTROPIC é um gerador de macro células CMOS independente de biblioteca. Apresenta-se também, como a ferramenta WTROPIC foi integrada ao ambiente de concepção de circuitos CAVE, as mudanças propostas para metodologia de integração de ferramentas do CAVE que conduzem a uma melhora na qualidade de integração e a padronização das interfaces de usuário e como a síntese física de um leiaute pode ser então realizada remotamente. Dessa maneira, obteve-se uma ferramenta para a concepção de leiautes disponível a qualquer usuário com acesso a internet, mesmo que esse usuário não disponha de uma máquina com elevada capacidade de processamento, normalmente exigido por ferramentas de CAD.

Alguns aspectos macro e microeconomicos da economia brasileira pos-Real

Analisam-se neste trabalho alguns aspectos macro e microeconômicos da economia brasileira Pós-Real. Do ponto de vista macroeconômico, aborda-se a troca de imposto inflacionário por poupança externa no fInanciamento do défIcit operacional do setor público, a evolução da denominação da dívida pública federal, bem como a pertinência de diferentes regimes cambiais em um ambiente de instabilidade de funções macroeconômicas. Inclui-se também nesta seção uma breve e simplifIcada simulação da evolução da renda per-capta em caso de elevação do nível de investimentos de 20% para 25% do PIB. Do ponto de vista microeconômico, apresentam-se algumas reflexões pertinentes às áreas de privatização, regulação e defesa da concorrência.

Avaliação dos impactos macro-econômicos e de bem-estar da reforma tributária no Brasil

Este artigo avalia o impacto sobre a economia brasileira de uma reforma tributária que reduza distorções e cumulatividade, utilizando para tal experimento a atual proposta do Ministério da Fazenda. Utiliza-se um modelo recursivo dinâmico padrão calibrado de forma a se aproximar o máximo possível da economia brasileira hoje. A simulações são implementadas ao se introduzir parâmetros correspondentes à reforma tributária: desoneração da folha de pagamentos, redução da cumulatividade com introdução do IVA-F e a desoneração dos investimentos com a redução do prazo de restituição de créditos de ICMS. Estima-se que a reforma tributária proposta provocaria um aumento de 1,5 pontos percentuais na taxa de crescimento do produto nos oito anos seguintes a sua implementação e um ganho de longo prazo de 16%. O impacto sobre o nível de investimento seria muito expressivo, 40% no mesmo período, de modo que a taxa de investimento saltaria dos atuais 20% para quase 24%. Os ganhos de consumo e bem-estar também foram estimados como bastante signicativos.