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Essays on Factors of Innovation, Regional Economic Impacts from Rangeland Fires, and Estimation of Health Impacts from Wildfires.

机译:关于创新因素,牧场火灾对区域经济的影响以及山火对健康的影响估算的论文。

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This dissertation addresses issues of regional economics and natural resource economics. The dissertation has three main sections that can be taken as separate essays or chapters: I: Modeling U.S. Counties' Innovation Capacity with a Focus on Natural Amenities. II: Modeling Regional Impacts from Rangeland Fires: An Application of a LP-SAM. III: Effects of Wildfires on Hospital Admissions for Respiratory Disease in Reno-Sparks, Nevada.;Chapter one is a novel empirical analysis of innovation capacity for U.S. counties with a focus on natural amenities. This chapter analyzed the factors of innovation using three innovation measures: high technology employment share, number of patents and number of firms in Not-Elsewhere-Classified (NEC) sectors as dependent variables. The explanatory variables are local economic conditions such as population, wage rate and unemployment rate; urban amenities such as crime rate, universities and museums; natural amenities such as climate, boat units, trailheads, camping ground and sites, and other outdoor activity services. An ordinary least square (OLS) model and negative binomial (NB) models were applied to the econometric analysis. Results showed that lower unemployment rates, more museums, more golf courses, warm winters and cool summers increased the innovation capacity for U.S. counties across three innovation measures. Therefore, the non-market attributes of natural amenities should be recognized in terms of their contribution to innovation capacity. Consequently, the competiveness of a county, in terms of innovation capacity, could be increased by providing more natural amenities to the public.;Chapter two analyzed the regional economic impacts from rangeland fires in southeast Oregon. If a fire occurs on public grazing land, ranchers in the region are restricted access to public land for two years. This action would have substantial economic impacts in a regional economy because public grazing is a major source of forage for cattle and ranching in the region. This chapter developed procedures to simultaneously analyze the ranch and regional level impacts of rangeland fires on public land. This goal was attained by developing a model that links a linear programming (LP) model and a Social Accounting Matrix (SAM) model. Detailed modeling procedures are provided in this chapter. Results showed that the wildfire damage was far beyond simple wildfire suppression cost and direct impact on ranching business. The Cattle Sector, the Service Sector and the Manufacturing Sector are the most impacted sectors in the study area because southeast Oregon relies upon its ranching business. The distributional effect is the key finding from the LP-SAM model. Results showed that medium income households (ranging from ;Chapter three analyzed the effects of wildfires on hospital admissions for respiratory disease in Reno-Sparks, Nevada. Wildfires, a common natural phenomenon in the western United States, produce a large amount of greenhouse gas and pollution particles, which might lead to health problems for nearby residents, and thereby increase local health care costs. This chapter identified 35 large wildfires that occurred near Reno-Sparks from 2005 to 2008 in order to explore the relationship between wildfires and health costs. The daily data of the major air pollutant PM2.5 from wildfires and number of respiratory patients admitted were employed in econometric equations to obtain the causal effect of wildfires on health. Results showed that wildfires that occurred away from Reno-Sparks within different distances increased the level of PM2.5 in the Reno-Sparks area. Furthermore, the regression on daily respiratory patients' hospital admissions showed that the level of PM2.5 positively affected the number of patients admitted. The causal effect of number of patients admitted from wildfire varied by distances. The average damage of one acre burned by wildfires within a given distance category on hospital admissions in Reno-Sparks is ;Overall, this dissertation describes the factors of innovation, regional economic impacts from rangeland fires and estimation of health effects from wildfires and offers suggestions to policy makers.
机译:本文研究区域经济学和自然资源经济学的问题。论文分为三个主要部分,可以作为独立的论文或章节进行:I:以自然环境为重点对美国各县的创新能力进行建模。 II:牧场火灾的区域影响建模:LP-SAM的应用。 III:野火对内华达州里诺-火花医院呼吸道疾病住院的影响;第一章是对美国各县创新能力的新实证分析,重点是自然设施。本章使用三个创新措施来分析创新的因素:高科技就业份额,专利数量和非因数分类(NEC)部门的公司数量作为因变量。解释变量是当地经济条件,例如人口,工资率和失业率;城市便利设施,例如犯罪率,大学和博物馆;自然的便利设施,例如气候,船屋,步道,露营地和场所以及其他户外活动服务。将普通最小二乘(OLS)模型和负二项式(NB)模型应用于计量经济分析。结果表明,较低的失业率,更多的博物馆,更多的高尔夫球场,温暖的冬天和凉爽的夏天提高了美国在三项创新措施中的创新能力。因此,应根据自然设施对创新能力的贡献来认识其非市场属性。因此,可以通过向公众提供更多的自然便利设施来提高郡县在创新能力方面的竞争力。第二章分析了俄勒冈州东南部牧场火灾引起的区域经济影响。如果公共牧场发生火灾,该地区的牧场主将被限制进入公共土地两年。此举将对区域经济产生重大的经济影响,因为公众放牧是该地区牛和牧场的主要饲料来源。本章制定了程序,可同时分析牧场火灾和牧场一级对公共土地的区域影响。通过开发将线性规划(LP)模型和社会核算矩阵(SAM)模型链接在一起的模型,可以实现此目标。本章提供了详细的建模过程。结果表明,野火破坏远远超出了简单的野火抑制成本,并直接影响了牧场业务。牛群,服务业和制造业是研究区域中受影响最大的领域,因为俄勒冈州东南部依赖其牧场业务。分布效应是LP-SAM模型的关键发现。结果表明,中等收入家庭(来自;第三章,分析了内华达州里诺-斯帕克斯市野火对医院呼吸道疾病住院患者的影响。野火是美国西部常见的自然现象,会产生大量温室气体和为了探究野火与医疗费用之间的关系,本章确定了2005年至2008年Reno-Sparks附近发生的35起大火,这可能导致附近居民的健康问题,从而增加当地的医疗费用。通过对每天来自野火的主要空气污染物PM2.5的每日数据以及入院的呼吸道疾病患者的人数进行计量经济学方程分析,以了解野火对健康的因果关系,结果表明,远离雷诺火花在不同距离内发生的野火会增加该水平Reno-Sparks地区PM2.5的分布;此外,对日常呼吸系统患者的医院环境的回归研究表明,PM2.5的水平对入院患者的数量产生了积极影响。因野火而入院的患者数量的因果关系因距离而异。在给定距离范围内,野火烧毁的一英亩土地对里诺火花医院的住院病人造成的平均损害为;总的来说,本文描述了创新因素,牧场火灾对区域经济的影响以及野火对健康的影响的估计,并提供了建议政策制定者。

著录项

  • 作者

    Zhu, Erqian.;

  • 作者单位

    University of Nevada, Reno.;

  • 授予单位 University of Nevada, Reno.;
  • 学科 Economics General.;Economics Agricultural.;Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 125 p.
  • 总页数 125
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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