Audit report on America’s Agricultural Industrial Heritage Landscape, Inc., d/b/a Silos and Smokestacks National Heritage Area (Silos and Smokestacks), in Waterloo, Iowa for the years ended December 31, 2006 and 2005

Audit report on America’s Agricultural Industrial Heritage Landscape, Inc., d/b/a Silos and Smokestacks National Heritage Area (Silos and Smokestacks), in Waterloo, Iowa for the years ended December 31, 2006 and 2005

High-growth cooperatives: Financial profile and key factors for competitiveness

Given the current economic environment, high-growth companies are particularly relevant for their contribution to employment generation and wealth.This paper discusses the results of a survey that was conducted in order to gain a deeper understanding of high-growth cooperatives through analyzing their financial profiles and then identifying key contributing factors to their growth. To do this, we compared this particular sample with other cooperatives and other high-growth mercantile companies.The results show the main drivers related to high-growth companies success. They are the competitive advantages based on the surveyed group, modern management techniques, quality and productivity, innovation and internationalization. Additionally, we have observed some financial strengths and weaknesses. In this sense, they are under capitalized companies with an unbalanced growth.

Trabecular bone score is associated with volumetric bone density and microarchitecture as assessed by central QCT and HRpQCT in Chinese American and white women.

Although high-resolution peripheral quantitative computed tomography (HRpQCT) and central quantitative computed tomography (QCT) studies have shown bone structural differences between Chinese American (CH) and white (WH) women, these techniques are not readily available in the clinical setting. The trabecular bone score (TBS) estimates trabecular microarchitecture from dual-energy X-ray absorptiometry spine images. We assessed TBS in CH and WH women and investigated whether TBS is associated with QCT and HRpQCT indices. Areal bone mineral density (aBMD) by dual-energy X-ray absorptiometry, lumbar spine (LS) TBS, QCT of the LS and hip, and HRpQCT of the radius and tibia were performed in 71 pre- (37 WH and 34 CH) and 44 postmenopausal (21 WH and 23 CH) women. TBS did not differ by race in either pre- or postmenopausal women. In the entire cohort, TBS positively correlated with LS trabecular volumetric bone mineral density (vBMD) (r = 0.664), femoral neck integral (r = 0.651), trabecular (r = 0.641) and cortical vBMD (r = 0.346), and cortical thickness (C/I; r = 0.540) by QCT (p < 0.001 for all). TBS also correlated with integral (r = 0.643), trabecular (r = 0.574) and cortical vBMD (r = 0.491), and C/I (r = 0.541) at the total hip (p < 0.001 for all). The combination of TBS and LS aBMD predicted more of the variance in QCT measures than aBMD alone. TBS was associated with all HRpQCT indices (r = 0.20-0.52) except radial cortical thickness and tibial trabecular thickness. Significant associations between TBS and measures of HRpQCT and QCT in WH and CH pre- and postmenopausal women demonstrated here suggest that TBS may be a useful adjunct to aBMD for assessing bone quality.

Efeitos da Interação Conjunta da Volatilidade das Taxas de Juro e da Dívida nas Decisões de Investimento: Evidências nas Empresas Portuguesas do Setor Industrial

Focalizando, essencialmente, sobre os efeitos da interação. conjunta da volatildade das taxas de juro e da dívida nas decisões de investimento das empresas portuguesas, listadas na Euronext Lisbon, e considerando a composição de dados em séries temporais empilhadas, extraímos 291 observações completas, durante o período de 1999 a 2009. Os resultados encontrados mostram que uma maior exposição ao risco da dívida das empresas portuguesas depende do nível de endividamento. As empresas moderadamente endividadas e amantes do risco não diminuem os seus investimentos, quando se verifica uma maior volatilidade do risco da dívida. Por outro lado, as empresas sobreendividadas e inimigas do risco respondem perante a uma maior volatilidade do risco da dívida, diminuindo os seus investimentos. Além disso, descobrimos que as empresas portuguesas reduzem os seus investimentos face a uma maior volatilidade das taxas de juro. Entretanto, fomos surpreendidos que as empresas portuguesas não reduzem os seus investimentos, face a um efeito marginal das taxas de juro. Este resultado sugere que, o benefício fiscal resultante do efeito de reavaliação da dívida (Lensink et al., 2001), é mais relevante para as empresas sobreendividadas, uma vez que podem atenuar o efeito dos encargos financeiros (Bo e Sterken, 2002).

Credit rationing and crowding out during the Industrial Revolution: Evidence from Hoare's Bank, 1702-1862

Crowding-out during the British Industrial Revolution has long been one of the leadingexplanations for slow growth during the Industrial Revolution, but little empirical evidence exists to support it. We argue that examinations of interest rates are fundamentally misguided, and that the eighteenth- and early nineteenth-century private loan market balanced through quantity rationing. Using a unique set of observations on lending volume at a London goldsmith bank, Hoare s, we document the impact of wartime financing on private credit markets. We conclude that there is considerable evidence that government borrowing, especially during wartime, crowded out private credit.

Factor prices and productivity growth during the British Industrial Revolution

This paper presents new estimates of total factor productivity growth in Britain for the period1770 1860. We use the dual technique and argue that the estimates we derive from factorprices are of similar quality to quantity-based calculations. Our results provide further evidence,calculated on the basis of an independent set of sources, that productivity growth duringthe British Industrial Revolution was relatively slow. The Crafts Harley view of theIndustrial Revolution is thus reinforced. Our preferred estimates suggest a modest accelerationafter 1800.

Audit report on America’s Agricultural Industrial Heritage Landscape, Inc., d/b/a Silos and Smokestacks National Heritage Area, in Waterloo, Iowa for the years ended December 31, 2007 and 2006

Audit report on America’s Agricultural Industrial Heritage Landscape, Inc., d/b/a Silos and Smokestacks National Heritage Area, in Waterloo, Iowa for the years ended December 31, 2007 and 2006

Información estadística sobre embarcaciones utilizadas en la pesca industrial en el Perú 1953 -1962

Estadística del desarrollo de la flota pesquera en el Perú por un periodo de 10 años y a través del tipo de pesca, clases de eslora y puertos de inscripción. Los informes más detallados corresponden al año 1961 y 1962, donde la flota empleada para cada tipo de pesca industrial fue agrupada en clases de eslora y puertos de inscripción para la flota nacional y por puertos de desembarqué, para las embarcaciones de bandera extranjera. Solamente algunos cuadros se han hecho con indicadores analíticos para demostrar la estructura de la flota bolichera

Crecimiento de la flota pesquera industrial al 31 de diciembre de 1963

Durante los últimos años, la tendencia en la construcción de embarcaderos ha sufrido variaciones motivadas por las necesidades de la pesca, las dimensiones han ido en aumento, así como también la capacidad de bodega, potencia de motor y el empleo de nuevos materiales para su construcción.

Why England? Demand, growth and inequality during the Industrial Revolution

Why was England first? And why Europe? We present a probabilistic model that builds on big-push models by Murphy, Shleifer and Vishny (1989), combined with hierarchical preferences. The interaction of exogenous demographic factors (in particular the English low-pressure variant of the European marriage pattern)and redistributive institutions such as the old Poor Law combined to make an Industrial Revolution more likely. Essentially, industrialization is the result of having a critical mass of consumers that is rich enough to afford (potentially) mass-produced goods. Our model is then calibrated to match the main characteristics of the English economy in 1750 and the observed transition until 1850.This allows us to address explicitly one of the key features of the British IndustrialRevolution unearthed by economic historians over the last three decades the slowness of productivity and output change. In our calibration, we find that the probability of Britain industrializing is 5 times larger than France s. Contrary to the recent argument by Pomeranz, China in the 18th century had essentially no chance to industrialize at all. This difference is decomposed into a demographic and a policy component, with the former being far more important than the latter.