• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Comparative regional income dynamics: Clustering, scale, and geocomputation.
【24h】

Comparative regional income dynamics: Clustering, scale, and geocomputation.

机译：区域收入动态比较：聚类，规模和地理计算。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The relationship between regional economic growth and inequality is difficult to ascertain. In order to truly uncover the mechanisms involved in regional income dynamics researchers must move past notions of correlation to address the more intricate issues of directionality and simultaneity. The spatial mechanisms involved in income convergence and inequality have only recently begun to take focus in the literature. A portion of this trend can be attributed to advances in spatial statistics and econometrics, which have helped to diffuse the knowledge of several inferential pitfalls associated with spatial effects in empirical data. The focus on space in economic growth and inequality is further apparent on an applied front, as evidence points to interesting socioeconomic constructs such as poverty traps and convergence clubs. This research examines these multifaceted phenomena using three distinct approaches. The first is an exploratory geovisualization framework which is used to generate new insights into the functional relationship between regional growth and inequality in the presence of spatial dependence. A formal spatial econometric approach is then provided that addresses the role of intraregional spatial clustering and simultaneity in the evolution of regional incomes. This project also examines regional economic change in a relative distribution framework in order to relax the assumptions often underlying the analysis of income data. Monte Carlo techniques are used to evaluate the properties of the relative distribution subject to varying levels of spatial association. Several techniques are then employed to control for spatial effects thereby allowing for a decomposed and robust outlook on regional income dynamics.
机译：区域经济增长与不平等之间的关系很难确定。为了真正揭示区域收入动态中涉及的机制，研究人员必须超越相关性的概念，以解决方向性和同时性方面更复杂的问题。收入趋同和不平等所涉及的空间机制直到最近才开始成为文献关注的焦点。这种趋势的一部分可以归因于空间统计和计量经济学的进步，这有助于在经验数据中传播与空间效应相关的若干推断性陷阱的知识。在经济应用领域，对经济增长和不平等的空间关注更加明显，因为有证据表明有趣的社会经济结构，例如贫困陷阱和趋同俱乐部。这项研究使用三种不同的方法研究了这些多方面的现象。第一个是探索性的地理可视化框架，该框架用于在存在空间依赖性的情况下对区域增长与不平等之间的功能关系产生新的见解。然后提供了一种正式的空间计量经济学方法，该方法解决了区域内空间聚类和同时性在区域收入演变中的作用。该项目还研究了相对分配框架下的区域经济变化，以便放宽经常作为收入数据分析基础的假设。蒙特卡洛技术用于评估在变化的空间关联水平下相对分布的属性。然后采用了几种技术来控制空间效应，从而实现对区域收入动态的分解和稳健的展望。

著录项

  • 作者

    Janikas, Mark V.;

  • 作者单位

    University of California, Santa Barbara and San Diego State University.;

  • 授予单位 University of California, Santa Barbara and San Diego State University.;
  • 学科 Geography.; Economics General.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 253 p.
  • 总页数 253
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;经济学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号