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Evaluation of Urban Competitiveness of the Huaihe River Eco-Economic Belt Based on Dynamic Factor Analysis

  • Malin SongEmail author
  • Qianjiao Xie
Article
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Abstract

Construction of the Huaihe River ecological-economic belt—an important component of the “One Belt, One Road” initiative—is essential for the development of central China. Urban competitiveness can reflect the level of urban development and comprehensive strength that, in turn, determine the trend of urban development. To evaluate urban competitiveness in the Huaihe River eco-economic belt, a comprehensive model is established and the dynamic factor analysis method is used for urban panel data. The results show that the economic development of a city has the greatest impact on its competitiveness while the impact of quality of life is small. In general, the spatial distribution of static scores of urban competitiveness in the Huaihe River eco-economic belt is unbalanced and the variation trend of dynamic scores mainly manifests as M or W shapes with regularity in time and space. The spatial distribution of the comprehensive scores of urban competitiveness varies dramatically, ranging from strong in eastern coastal areas to weak in central and western regions. In the construction of the Huaihe River eco-economic belt, urban development should rely on the comparative advantages of central cities to drive the common development of surrounding cities, helping in the overall development of the eco-economic belt and promoting the coordinated development of eastern and western regions.

Keywords

Urban competitiveness Urban development Huaihe River eco-economic belt Dynamic factor analysis Smart city Spatial distribution 

Notes

Funding

This work was supported by the National Natural Science Foundation of China (Grant Nos. 71934001, 71471001, 71533004, 41771568) and the National Key Research and Development Program of China (Grant No. 2016YFA0602500).

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Ecologic Economic and Management Collaborative Innovation CenterAnhui University of Finance and EconomicsBengbuChina

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