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Comparative Spatial Dynamics of Regional Systems

In: Progress in Spatial Analysis

Author

Listed:
  • Sergio J. Rey

    (San Diego State University and School of Geographical Sciences, Arizona State University)

  • Xinyue Ye

Abstract

Research on the question of regional income convergence has gone through two phases over the past two decades. The first generation of regional convergence studies began to appear as growth theorists turned their attention away from international analyses of country growth patterns having discovered the region as a new unit of analysis (Barro and Sala-i-Martin 1991). This change in scale had a key advantage of increasing (in some cases substantially) the number of cross-sectional observations available for model estimation and hypothesis testing. While the scale of the analysis shifted, these first generation studies relied on the same underlying theoretical and empirical frameworks used in the international literature. In the second phase, the underlying geographical dimensions of the data in convergence studies began to attract attention (Rey and Montouri 1999). This was reflected in several developments. The first saw the increasing application of the methods of spatial econometrics and spatial data analysis to regional case studies. These applications have generated abundant evidence that the spatial effects of dependence and heterogeneity tend to be the rule rather than the exception in practice, and as such their consideration should form a crucial component of empirical analysis. Thus the second generation of regional convergence studies is those characterized by concerns with spatial effects.

Suggested Citation

  • Sergio J. Rey & Xinyue Ye, 2010. "Comparative Spatial Dynamics of Regional Systems," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 441-463, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-03326-1_20
    DOI: 10.1007/978-3-642-03326-1_20
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    Citations

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    Cited by:

    1. Xinyue Ye & Sergio Rey, 2013. "A framework for exploratory space-time analysis of economic data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 315-339, February.
    2. Burhan Can Karahasan, 2020. "Can neighbor regions shape club convergence? Spatial Markov chain analysis for Turkey," Letters in Spatial and Resource Sciences, Springer, vol. 13(2), pages 117-131, August.
    3. Fangqu Niu & Lan Wang & Wei Sun, 2023. "Spatiotemporal Characteristics and Determinants of Rural Construction Land in China’s Developed Areas: A Case Study of the Yangtze River Delta," Land, MDPI, vol. 12(10), pages 1-19, October.
    4. Hongtao Jiang & Jian Yin & Yuanhong Qiu & Bin Zhang & Yi Ding & Ruici Xia, 2022. "Industrial Carbon Emission Efficiency of Cities in the Pearl River Basin: Spatiotemporal Dynamics and Driving Forces," Land, MDPI, vol. 11(8), pages 1-22, July.
    5. Shengqiang Jing & Yueguan Yan & Fangqu Niu & Wenhui Song, 2022. "Urban Expansion in China: Spatiotemporal Dynamics and Determinants," Land, MDPI, vol. 11(3), pages 1-16, February.
    6. Ye, Xinyue & Yue, Wenze, 2014. "Comparative analysis of regional development: Exploratory space-time data analysis and open source implementation," Economics Discussion Papers 2014-20, Kiel Institute for the World Economy (IfW Kiel).
    7. Xinyue Ye & Yuri Mansury, 2016. "Behavior-driven agent-based models of spatial systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 271-274, November.
    8. Ángeles Sánchez & Jorge Chica-Olmo & Juan de Dios Jiménez-Aguilera, 2018. "A Space–Time Study for Mapping Quality of Life in Andalusia During the Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 699-728, January.
    9. Sergio Rey, 2014. "Rank-based Markov chains for regional income distribution dynamics," Journal of Geographical Systems, Springer, vol. 16(2), pages 115-137, April.
    10. Zhongfa Zhou & Changli Zhu, 2022. "Relative Spatial Poverty Within Guizhou Province, A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 151-170, May.

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