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内容大纲
贺三维著的《中国多尺度区域差异分析--地理空间分析视角(英文版)/中南财经政法大学公共管理文库》讲述了:The study of regional inequality has attractednumerous attentions of geographers andeconomists. The interdisciplinary research hasbeen reflected in a spatial-temporal hierarchicalstructure, that is, the multi-scalar nature ofeconomic convergence and the temporaldynamics of geographical inequality. With thesupport of big databases, the integration ofthese two growing fields provides opportunitiesfor a spatially integrated social science. Therefore,this paper aims to explore this long-debatedissue from two novel perspectives. On the onehand, the newly available county-level datasetwill be employed to reexamine the three majorissues of economic inequality and then acomparative analysis at the county level, citylevel and provincial level will be conducted tostudy the scale nature of economic inequality.On the other hand, the spatial data exploratoryanalysis as well as the geospatial analysis providesa new methodological framework to study thespatial effects ofecor/omic development. Threemajor research issues regarding to the temporaltrend, global and local spatial pattern and themulti-scalar mechanisms of regional inequalityhave been reexamined at three different spatialscales using the geospatial analysis. -
作者介绍
贺三维,女,1987年10月生,湖北荆州人,现为中南财经政法大学公共管理学院副教授、硕士生导师,主要研究方向为城市与区域发展、城市空间结构模拟等。主持参与国家自然科学基金项目等近10项。在《Geoforum》《地理科学》等期刊公开发表论文10多篇。 -
目录
Chapter 1 Introduction
1.1 Research background
l.2 Research objectives
1.3 Theoretical significance and practical importance
1.4 Organizational structure
Chapter 2 A Theoretical Framework for Multi-scalar Regional
Inequality in China
2.1 Pivotal concepts and approaches ~
2.2 Theoretical debates about regional development in the
changing world
2.3 Methodological advances in the field of regional
development
2.4 Theoretical and empirical analyses about regional
inequality in China
2.5 Comparative spatio-temporal framework for multi-scalar
economic inequality in China
2.6 Conclusions
Chapter 3 Data and Methodology
3.1 The study area
3.2 Data description and processing
3.3 Methodology
3.4 Conclusions
Chapter 4 The Temporal Trend of Multi-scalar Regional
Inequality
4.1 The temporal trend of multi-scalar regional inequality
4.2 The decomposability of multi-scalar regional inequality
4.3 The ergodic distribution of multi-scalar regional inequality
4.4 Conclusions
Chapter 5 Spatial Dynamics of Multi-scalar Regional
Development
5.1 Global spatial structures of regional development
5.2 Local spatial structures of regional development
5.3 Local spatial patterns of regional development in seven
national urban agglomerations
5.4 Spatial distributional dynamics of multi-scalar regional
development
5.5 Conclusion
Chapter 6 Exploring Driving Factors Underlying the Multi-scalar
Regional Inequality
6.1 Model design
6.2 An indicator system of driving factors underlying regional
development
6.3 Model specifications
6.4 Result explanations and interpretations
6.5 Policy implications
6.6 Conclusion
Chapter 7 Discussion and Conclusion
Appendix I
References
Postscript
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