839 resultados para Blue Chip Economic Indicators
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Since 2008, the South Carolina Department of Commerce has published the Economic Outlook, a monthly snapshot of key state economic indicators on income, employment, and real estate.
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Since 2008, the South Carolina Department of Commerce has published the Economic Outlook, a monthly snapshot of key state economic indicators on income, employment, and real estate.
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Since 2008, the South Carolina Department of Commerce has published the Economic Outlook, a monthly snapshot of key state economic indicators on income, employment, and real estate.
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For a sustainable building industry, not only should the environmental and economic indicators be evaluated but also the societal indicators for building. Current indicators can be in conflict with each other, thus decision making is difficult to clearly quantify and assess sustainability. For the sustainable building, the objectives of decreasing both adverse environmental impact and cost are in conflict. In addition, even though both objectives may be satisfied, building management systems may present other problems such as convenience of occupants, flexibility of building, or technical maintenance, which are difficult to quantify as exact assessment data. These conflicting problems confronting building managers or planners render building management more difficult. This paper presents a methodology to evaluate a sustainable building considering socio-economic and environmental characteristics of buildings, and is intended to assist the decision making for building planners or practitioners. The suggested methodology employs three main concepts: linguistic variables, fuzzy numbers, and an analytic hierarchy process. The linguistic variables are used to represent the degree of appropriateness of qualitative indicators, which are vague or uncertain. These linguistic variables are then translated into fuzzy numbers to reflect their uncertainties and aggregated into the final fuzzy decision value using a hierarchical structure. Through a case study, the suggested methodology is applied to the evaluation of a building. The result demonstrates that the suggested approach can be a useful tool for evaluating a building for sustainability.
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Adverse health behaviors as well as obesity are key risk factors for chronic diseases. Working conditions also contribute to health outcomes. It is possible that the effects of psychosocially strenuous working conditions and other work-related factors on health are, to some extent, explained by adverse behaviors. Previous studies about the associations between several working conditions and behavioral outcomes are, however, inconclusive. Moreover, the results are derived mostly from male populations, one national setting only, and with limited information about working conditions and behavioral risk factors. Thus, with an interest in employee health, this study was set to focus on behavioral risk factors among middle-aged employees. More specifically, the main aim was to shed light on the associations of various working conditions with health behaviors, weight gain, obesity, and symptoms of angina pectoris. In addition to national focus, international comparisons were included to test the associations across countries thereby aiming to produce a more comprehensive picture. Furthermore, a special emphasis was on gaining new evidence in these areas among women. The data derived from the Helsinki Health Study, and from collaborative partners at the Whitehall II Study, University College London, UK, and the Toyama University, Japan. In Helsinki, the postal questionnaires were mailed in 2000-2002 to employees of the City of Helsinki, aged 40 60 years (n=8960). The questionnaire data covered e.g., socio-economic indicators and working conditions such as Karasek s job demands and job control, work fatigue, working overtime, work-home interface, and social support. The outcome measures consisted of smoking, drinking, physical activity, food habits, weight gain, obesity, and symptoms of angina pectoris. The international cohorts included comparable data. Logistic regression analysis was used. The models were adjusted for potential confounders such as age, education, occupational class, and marital status subject to specific aims. The results showed that working conditions were mostly unassociated with health behaviors, albeit some associations were found. Low job strain was associated with healthy food habits and non-smoking among women in Helsinki. Work fatigue, in turn, was related to drinking among men and physical inactivity among women. Work fatigue and working overtime were associated with weight gain in Helsinki among both women and men. Finally, work fatigue, low job control, working overtime, and physically strenuous work were associated with symptoms of angina pectoris among women in Helsinki. Cross-country comparisons confirmed mostly non-existent associations. High job strain was associated with physical inactivity and smoking, and passive work with physical inactivity and less drinking. Working overtime, in turn, related to non-smoking and obesity. All these associations were, however, inconsistent between cohorts and genders. In conclusion, the associations of the studied working conditions with the behavioral risk factors lacked general patters, and were, overall, weak considering the prevalence of psychosocially strenuous work and overtime hours. Thus, based on this study, the health effects of working conditions are likely to be mediated by adverse behaviors only to a minor extent. The associations of work fatigue and working overtime with weight gain and symptoms of angina pectoris are, however, of potential importance to the subsequent health and work ability of employees.
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Ecosystem based management requires the integration of various types of assessment indicators. Understanding stakeholders' information preferences is important, in selecting those indicators that best support management and policy. Both the preferences of decision-makers and the general public may matter, in democratic participatory management institutions. This paper presents a multi-criteria analysis aimed at quantifying the relative importance to these groups of economic, ecological and socio-economic indicators usually considered when managing ecosystem services in a coastal development context. The Analytic Hierarchy Process (AHP) is applied within two nationwide surveys in Australia, and preferences of both the general public and decision-makers for these indicators are elicited and compared. Results show that, on average across both groups, the priority in assessing a generic coastal development project is for the ecological assessment of its impacts on marine biodiversity. Ecological assessment indicators are globally preferred to both economic and socio-economic indicators regardless of the nature of the impacts studied. These results are observed for a significantly larger proportion of decision-maker than general public respondents, questioning the extent to which the general public's preferences are well reflected in decision-making processes.
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In recent years, thanks to developments in information technology, large-dimensional datasets have been increasingly available. Researchers now have access to thousands of economic series and the information contained in them can be used to create accurate forecasts and to test economic theories. To exploit this large amount of information, researchers and policymakers need an appropriate econometric model.Usual time series models, vector autoregression for example, cannot incorporate more than a few variables. There are two ways to solve this problem: use variable selection procedures or gather the information contained in the series to create an index model. This thesis focuses on one of the most widespread index model, the dynamic factor model (the theory behind this model, based on previous literature, is the core of the first part of this study), and its use in forecasting Finnish macroeconomic indicators (which is the focus of the second part of the thesis). In particular, I forecast economic activity indicators (e.g. GDP) and price indicators (e.g. consumer price index), from 3 large Finnish datasets. The first dataset contains a large series of aggregated data obtained from the Statistics Finland database. The second dataset is composed by economic indicators from Bank of Finland. The last dataset is formed by disaggregated data from Statistic Finland, which I call micro dataset. The forecasts are computed following a two steps procedure: in the first step I estimate a set of common factors from the original dataset. The second step consists in formulating forecasting equations including the factors extracted previously. The predictions are evaluated using relative mean squared forecast error, where the benchmark model is a univariate autoregressive model. The results are dataset-dependent. The forecasts based on factor models are very accurate for the first dataset (the Statistics Finland one), while they are considerably worse for the Bank of Finland dataset. The forecasts derived from the micro dataset are still good, but less accurate than the ones obtained in the first case. This work leads to multiple research developments. The results here obtained can be replicated for longer datasets. The non-aggregated data can be represented in an even more disaggregated form (firm level). Finally, the use of the micro data, one of the major contributions of this thesis, can be useful in the imputation of missing values and the creation of flash estimates of macroeconomic indicator (nowcasting).
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The economic situation of the German fishing fleet, economic indicators and backgrounds have been analysed in the overall framework of the EU-Concerted Action ‘Economic Assessment of European fishing fleets’. Trends in number of vessels, employment on board and catches for main target species are decreasing. This development may clearly be related to bad fish stock conditions, missing investment op-portunities for vessels and the short-term fishing quota man-agement system. To facilitate fisheries economics research a better data collection system is needed. As a consequence economic advice may be given for the development of a long-term sustainable management system.
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A person living in an industrialized society has almost no choice but to receive information daily with negative implications for himself or others. His attention will often be drawn to the ups and downs of economic indicators or the alleged misdeeds of leaders and organizations. Reacting to new information is central to economics, but economics typically ignores the affective aspect of the response, for example, of stress or anger. These essays present the results of considering how the affective aspect of the response can influence economic outcomes.
The first chapter presents an experiment in which individuals were presented with information about various non-profit organizations and allowed to take actions that rewarded or punished those organizations. When social interaction was introduced into this environment an asymmetry between rewarding and punishing appeared. The net effects of punishment became greater and more variable, whereas the effects of reward were unchanged. The individuals were more strongly influenced by negative social information and used that information to target unpopular organizations. These behaviors contributed to an increase in inequality among the outcomes of the organizations.
The second and third chapters present empirical studies of reactions to negative information about local economic conditions. Economic factors are among the most prevalent stressors, and stress is known to have numerous negative effects on health. These chapters document localized, transient effects of the announcement of information about large-scale job losses. News of mass layoffs and shut downs of large military bases are found to decrease birth weights and gestational ages among babies born in the affected regions. The effect magnitudes are close to those estimated in similar studies of disasters.
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Apesar da crescente prevalência da obesidade em países desenvolvidos e em desenvolvimento, há pouca evidência da associação com fatores ambientais. Objetivos: Investigar a evolução temporal do IMC em jovens alistados do sexo masculino de 18 anos no Brasil entre 1980 e 2005; identificar pontos específicos de maior variância na série temporal e comparar pontos específicos no tempo, a evolução temporal do IMC com as mudanças socioeconômicas no Brasil. Métodos: O presente estudo explorou uma série temporal de 26 anos em homens brasileiros que se alistaram no período de 1980 a 2005. A amostra compreendeu cerca de 35-40% de todos os jovens brasileiros de 18 anos de idade. O peso corporal e a estatura foram obtidos no momento do exame médico durante o alistamento militar. Todas as mensurações antropométricas foram realizadas por pessoal especializado e treinado. As prevalências do sobrepeso e da obesidade foram calculadas com intervalos de confiança de 95%. Com a finalidade de testar a presença de heterocedasticidade na série do IMC, realizou-se o teste de Multiplicador de Lagrange (LM). Para os pontos no tempo, com oscilações acima da média do IMC, variáveis dummies foram testadas utilizando-se o modelo ARCH (Autoregressivo de Heterocedasticidade Condicionada), com um nível de significância de p <0,05. Para aqueles pontos no tempo com oscilações acima da média do IMC (anos de 1985, 1994 e 2000), variáveis dummy foram incluídos sob a hipótese foi de que a taxa de crescimento do IMC não fosse a mesma ao longo da série temporal. Para as possíveis explicações para os aumentos bruscos na curva do IMC, foram consideradas as alterações nos principais indicadores econômicos do Brasil (Instituto Brasileiro de Geografia e Estatística e Instituto de Pesquisa Econômica Aplicada). Os fatores econômicos analisados foram: taxa de inflação anual, produção de alimentos, pobreza (%), o consumo de refrigerantes e o rendimento médio anual. Resultados: A prevalência de sobrepeso também passou de 4,5%, em 1980, para 12,5%, em 2005, um aumento de 2,6 vezes, enquanto a prevalência de obesidade aumentou de 0,5%, em 1980, para 1,9%, em 2005, um aumento de quase 300%, mas por comparação internacional estão abaixo da média. Particularmente em 1985-6 e 1994-5, houve um aumento acentuado e significativo do IMC. Em 1985-6, a média do IMC aumentou de 21,4 kg/m2 para 21,5 kg/m2 e, em 1994-5, a média do IMC médio aumentou de 21,7 kg/m2 para 21,9 kg/m2. Nesses dois pontos (1985-1986 e 1994-1995) ocorreram logo após duas grandes mudanças políticas econômicas que aumentaram o poder de compra da população. Em 1985-6, as mudanças foram principalmente relacionadas a fatores econômicos, tais como: a redução do nível de desigualdade social; aumento da renda familiar; redução da pobreza; o controle da inflação; aumento do tempo assistindo televisão e aumento do consumo de alimentos. Em 1994-5, além das mudanças no poder de compra, houve uma modificação na atividade física obrigatória nas escolas. Conclusão: O presente estudo mostrou um aumento abrupto da obesidade na população de homens jovens no Brasil em duas ocasiões durante esta série temporal (anos de 1985-6 e 1994-5), quando uma possível redução no gasto calórico e aumento do consumo de alimentos da população foram observados.
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O presente estudo teve, por objetivo, corrigir a magnitude dos óbitos registrados por câncer do colo do útero no Brasil, e analisar a magnitude da mortalidade por este câncer e sua associação com indicadores sociais, nos estados da região Nordeste, Brasil, no período compreendido entre 1996 a 2005. Para a correção do sub-registro, foram utilizados os fatores criados pelo Projeto Carga Global de Doença no Brasil-1998. Metodologia de redistribuição proporcional foi utilizada para redistribuir as categorias de diagnósticos desconhecidas, incompletas ou mal definidas de óbitos identificadas no sistema de informação sobre mortalidade, exceto os dados ausentes de idade, corrigidos através de imputação. As correções foram aplicadas para cada Unidade Federativa do pais, segundo sexo e grupo etário, e os resultados apresentados para o Brasil e cada grande região e suas respectivas áreas geográficas (capital, demais municípios das regiões metropolitanas e interior). Tendências temporais de mortalidade foram analisadas através de regressão linear simples para cada estado da região Nordeste. Índice de variação percentual foi utilizado para determinar a variabilidade da magnitude das taxas, antes e após a correção dos óbitos. Através de regressão linear, foram analisados o comportamento da correção, e as correlações entre os indicadores socioeconômicos e as taxas de mortalidade por câncer do colo de útero sem e com correção. Após as correções, as taxas de mortalidade por câncer do colo do útero no Brasil mostraram um acréscimo percentual 103,4%, com variação de 35%, para as capitais da região Sul, a 339%, para o interior da região Nordeste. Foram encontradas correlações positivas entre alguns indicadores socioeconômicos e taxas sem correção, e correlações negativa entre esses mesmos indicadores e taxas corrigidas. Com outros indicadores socioeconômicos, observou-se o inverso dessa situação. Os resultados da correção apresentaram consistência em termos geográficos e em relação aos achados da literatura, permitindo concluir que a metodologia proposta foi adequada para corrigir a magnitude das taxas de mortalidade por câncer do colo do útero no país. Se analises comparativas sobre as condições socioeconômicas e o comportamento deste câncer forem estimadas sem quaisquer conhecimentos acerca da cobertura e qualidade de registro dos óbitos, pode-se incorrer a conclusões equivocadas. Considerando a magnitude corrigida da mortalidade por câncer do colo do útero, podemos afirmar que o problema desta doença na região Nordeste e no país, e mais grave do que o observado nos informes oficiais. Contudo, os resultados apontam que os programas de controle e detecção precoce desenvolvidos no país já mostram resultados positivos.
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As micro, pequenas e médias empresas geram cerca de 20% do PIB brasileiro. Estima-se que, atualmente, 60% dos postos de trabalho e cerca de 85% dos novos empregos no Brasil são gerados por micro, pequenas e médias empresas. Nesse sentido, a implementação de políticas públicas destinadas as micro, pequenas e médias empresas possuem a dupla dimensão de favorecer tanto o crescimento econômico como a melhoria de indicadores sociais como a distribuição desigual da renda ou a desigualdade regional. Entretanto, um importante debate amadurece no país a respeito da efetividade e dos retornos gerados pelas concessões de incentivos fiscais. Alinhados a este cenário, o objetivo do presente estudo é analisar o impacto dos incentivos fiscais do setor têxtil das pequenas e médias empresas da região serrana do estado do Rio de Janeiro através da visão de seus gestores e dos indicadores econômicos. Foi realizado um estudo de campo no qual os gestores das PME do setor têxtil da região serrana do estado do Rio de Janeiro responderam um questionário composto por dezoito perguntas. As respostas foram comparadas a um cálculo de estimativa de renuncia entre o Lucro Presumido e o SIMPLES Nacional. Como resultados verificou-se a não efetividade dos incentivos fiscais no seu principal papel de geração de emprego e renda e uma sensação de insuficiência, desconhecimento e, consequentemente, falta de transparência em relação aos incentivos fiscais disponíveis e concedidos especificamente para o setor ou região, na percepção dos gestores das PME.
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•The 2013 Inter-sessional Science Board Meeting: A Note from the Science Board Chairman (pp. 1-4) •ICES/PICES Workshop on Global Assessment of the Implications of Climate Change on the Spatial Distribution of Fish and Fisheries (pp. 5-8) •PICES participates in a Convention on Biological Diversity Regional Workshop (pp. 9-11) •Social and Economic Indicators for Status and Change within North Pacific Ecosystems (pp. 12-13) •The Fourth International Jellyfish Bloom Symposium (pp. 14-15) •Workshop on Radionuclide Science and Environmental Quality in the North Pacific (pp. 16-17) •PICES-MAFF Project on Marine Ecosystem Health and Human Well-Being: Indonesia Workshop (pp. 18-19) •Socioeconomic Indicators for United States Fisheries and Fishing Communities (pp. 20-23) •Harmful Algal Blooms in a Changing World (pp. 24-25, 27) •Enhancing Scientific Cooperation between PICES and NPAFC (pp. 26-27) •Workshop on Marine Biodiversity Conservation and Marine Protected Areas in the Northwest Pacific (pp. 28-29) •The State of the Western North Pacific in the Second Half of 2012 (pp. 30-31) •Stuck in Neutral in the Northeast Pacific Ocean (pp. 32-33) •The Bering Sea: Current Status and Recent Trends (pp. 34-36) •For your Bookshelf (p. 37) •Howard Freeland takes home Canadian awards (p. 38)
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To develop a portfolio of indicators and measures that could best measure changes in the social, economic, environmental and health dimensions of well-being in coastal counties we convened a group of experts March 8-9, 2011 in Charleston, SC, U.S.A. The region of interest was of the northern Gulf of Mexico, specifically, those coastal counties most impacted during the explosion and subsequent oil spill from the Macondo Prospect wellhead during the summer of 2010. Over the course of the two-day workshop participants moved through presentations and facilitated sessions to identify and prioritize potential indicators and measures deemed most valuable for capturing changes in well-being related to changes in or disruption of ecosystem services. The experts reached consensus on a list of indicators that are now being operationalized by NOAA researchers. The ultimate goal of this research project is to determine whether a meaningful set of social and economic indicators can be developed to document changes in well-being that occur as a result of changes in ecosystem services. The outcomes and outputs from the workshop that is the subject of this report helped us to identify high-quality indicators useful for measuring well-being.