848 resultados para Bio-economic index
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Bibliography: p. [255]-260.
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Mode of access: Internet.
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"The 4Rs Recycling Lessons and Projects with an Index to the Illinois Learning Standards has been produced through a cooperative effort between the Illinois Department of Commerce and Economic Opportunity (DCEO) and University of Illinois Extension. This publication is dedicated to increasing environmental awareness among Illinois students and achieving long-term behavior changes to ensure the wise use of our natural resources. The lesson plans and activities are designed for grades K-8."--Prelim. page.
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Introduction. -- The general idea. -- The two problems. -- The two aspects of the question. -- Credit to agriculture. -- The "credit associations" of Schulze-Delizsch. -- Raiffeisen village banks. -- Adaptations. -- "Assisted" co-operative credit. -- Co-operative credit in Austria and Hungary. -- The "Banche popolari" of Italy. -- The "Casse rurali" of Italy. -- Co-operative credit in Belgium. -- Co-operative credit in Switzerland. -- Co-operative credit in France. -- Offshoots and congerers. -- Co-operative credit in India. -- Conclusion. -- Index.
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Accompanied by "Data appendix." (723 p.) Published: [Washington : U.S. Govt. print off., 1974?]
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This paper develops an Internet geographical information system (GIS) and spatial model application that provides socio-economic information and exploratory spatial data analysis for local government authorities (LGAs) in Queensland, Australia. The application aims to improve the means by which large quantities of data may be analysed, manipulated and displayed in order to highlight trends and patterns as well as provide performance benchmarking that is readily understandable and easily accessible for decision-makers. Measures of attribute similarity and spatial proximity are combined in a clustering model with a spatial autocorrelation index for exploratory spatial data analysis to support the identification of spatial patterns of change. Analysis of socio-economic changes in Queensland is presented. The results demonstrate the usefulness and potential appeal of the Internet GIS applications as a tool to inform the process of regional analysis, planning and policy.
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Objective: To explore the relationship between family average income (FAI; an index of socio-economic status) and body mass index (BMI; a widely used, inexpensive indicator of weight status) above the healthy weight range in a region of Mainland China. Design: Population-based cross-sectional study, conducted between October 1999 and March 2000 on a sample of regular local residents aged 35 years or older who were selected by random cluster sampling. Setting: Forty-five administrative villages selected from three urban districts and two rural counties of Nanjing municipality, Mainland China, with a regional population of 5.6 million. Subjects: In total, 29 340 subjects participated; 67.7% from urban and 32.3% from rural areas; 49.8% male and 50.2% female. The response rate among eligible participants was 90.1%. Results: The proportion of participants classified as overweight was 30.5%, while 7.8% were identified as obese. After adjusting for possible confounding variables (age, gender, area of residence, educational level, occupational and leisure-time physical activity, daily vegetable consumption and frequency of red meat intake), urban participants were more likely to be overweight or obese relative to their rural counterparts, more women than men were obese, and participants in the lowest FAI tertile were the least likely to be above the healthy weight range. Conclusions: The proportion of adults with BMI above the healthy weight range was positively related to having a higher socio-economic status (indexed by FAI) in a regional Chinese population.