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Doctoral Dissertation Research: Effects of Natural Resource Dependence

Doctoral Dissertation Research: Effects of Natural Resource Dependence
博士论文研究:自然资源依赖的影响
批准号:
1903924
负责人:
Brian Thiede
金额:
$1.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-05-15 至 2020-09-30

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中文摘要
翻译
该项目调查对某些社区至关重要的一个问题,即在依赖自然资源开采与依赖其他发展形式之间作出选择。 在美国,自然资源的开采形式几十年来一直在下降。 取而代之的是,旅游、户外娱乐和娱乐设施开发等非采掘形式的自然资源开发已成为一个可能的新方向。 在这个项目中,这些替代路径和经济成果,包括经济增长,贫困和机会之间的关系进行了分析。 目的是了解特定策略以及策略之间的变化何时以及如何有益。 调查结果将为美国有关这些地区的决策提供信息,从而提高国家福利。本项目的数据来自美国人口普查,美国社区调查和美国经济分析局1970年至2017年美国相关县的数据。 在分析中,将使用空间固定效应计量经济模型测试和比较县级采掘和非采掘自然资源开发对收入增长、贫困和机会的历史影响,以评估自然资源开发如何影响收入及其长期分配。 这些模型将用于确定依赖性的经验阈值,以便开发提取、非提取和混合(即,提取的和非提取的)相关性。 该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project investigates an issue of central importance to some communities, the choice between reliance on natural resource extraction versus reliance on alternative forms of development. Extractive forms of natural resource use have been declining in the United States for decades. In their place, non-extractive forms of natural resource development such as tourism, outdoor recreation, and amenity development have emerged as a possible new direction. In this project, the relationship between these alternative paths and economic outcomes including economic growth, poverty, and opportunity is analyzed. The object is to see when and how particular strategies as well as change between strategies are beneficial. Findings will inform decision making concerning these areas of the United States and so will enhance national welfare.Data for this project come from combining U.S. Census, American Community Survey, and Bureau of Economic Analysis data for relevant counties in the United States from 1970 to 2017. In the analysis, the historical effect of county-level extractive and non-extractive natural resource development on income growth, poverty, and opportunity will be tested and compared using spatial fixed-effects econometric models to provide an evaluation of how natural resource development affects income and its distribution over time. These models will be used to identify empirical thresholds of dependence in order to develop classifications of extractive, non-extractive, and hybrid (i.e., both extractive and non-extractive) dependence. Subsequently, trends and transitions in socioeconomic well-being will be evaluated for extractive and non-extractive natural resource dependent counties.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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