Delineation of regional boundaries of small and medium sized cities and identification of factors associated with their growth

Authors: Dohyeong Kim*, University of Seoul, Myungje Woo, University of Seoul
Topics: Urban and Regional Planning
Keywords: Small and medium sized city, Regional planning, Markov-chain model, Functional weight matrix, Functional econometric model
Session Type: Poster
Day: 4/6/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded

Korean government has implemented policies to strengthen the competitiveness of small and medium sized cities for balanced development at the national scale. However, since it is often difficult to enhance the competitiveness through partial projects of each jurisdiction, many local governments collaborate at the regional scale. This suggests that a regional approach is important for the management of small and medium sized cities. On the one hand, the concept of network city, another regional approach, suggests that various functional networks can affect the growth of small and medium sized cities.
Given this background, the purposes of this study are to delineate regional boundaries for small and medium sized cities and identify their growth factors in South Korea by using functional network and spatial econometrics. The study uses Markov-chain model and cluster analysis to delineate the regions, and spatial econometric model and functional weight matrix are employed to identify the effects of functional networks on small and medium sized cities. The mean first passage times, generated from the Markov-chain model, can be interpreted as functional distances of each region. In addition, the spatial econometric model applying the functional weight matrix is used to identify the regional growth factors.
The results show that interactions between jurisdictions through networks could be crucial factors for growth of small and medium sized cities, suggesting that policy makers should not only consider local level investments, but also take the characteristics of networks between cities into account for balanced development and regeneration policies.

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