The 2025 Young Scholar Symposium on Spatiotemporal Data Science��Speaker: Bingchen Li�Team Member: Haiyang Li Yingxin Zhu, Zongrong Li�Mentor: Siqin Wang �University of Southern California
USC Spatial Science Institute Bingchen Li
About Me��Bingchen Li �University of Southern California�Master of Science, Spatial economics and data analysis �Member of the American Association of Geographers (AAG)��Research Fields�Urban Economics, Industrial Economics, Public Policy���Publications�[1]Zhou, Y., Li, B., & Zhao, M. (2024). Asymmetric impact of supply chain bottlenecks on consumer energy prices: Evidence from advanced and emerging countries. Energy Economics (accepted for publication).�[2] Hao, D., & Li, B. (2024, under review). Green financial reform, corporate carbon emission reduction, and supply chain transmission effects. Industrial Economics Research.�[3] Li, B., & Wang, J. (2023). The theoretical mechanism and effectiveness evaluation of the new urbanization pilot in China promoting high-quality economic development. Journal of Southwest Forestry University (Social Sciences), 7(06), 25-32.�
USC Spatial Science Institute Bingchen Li
Impacts of Urban Spatial Structure on Urbanization:� ----------Evidence from Prefecture-Level Cities in China��Content�01 Research Background�02 Study Area & Data �03 Methodology�04 Core Results�05 Discussion & Future Work��
USC Spatial Science Institute Bingchen Li
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USC Spatial Science Institute Bingchen Li
Research Background
Key Fact I:
Economic growth and the increase in urbanization rates are synchronized.
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USC Spatial Science Institute Bingchen Li
Key Fact II:
Different Urban Development Models and Urban Compactness Levels
Densely Laid-Out Cities
Tokyo Japan
Chongqing China
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USC Spatial Science Institute Bingchen Li
Key Fact II:
Different Urban Development Models and Urban Compactness Levels
Cities with a dispersed layout
LA U.S.
Washington D.C. U.S.
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USC Spatial Science Institute Bingchen Li
Research Question:
Does urban spatial morphology affect the level of regional urbanization?
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USC Spatial Science Institute Bingchen Li
Study Area & Data
Study Area
287 Prefecture-Level Cities in China
Data source:
Panel data of 287 cities from 2007 to 2011
From National Bureau of Statistics of China,
Dependent variable:
Regional urbanization rate.
Core independent variable:
Urban spatial compactness
Other six control variables:
Government intervention level,Economic development level,Human capital,Infrastructure level,Population density,Industrial structure rationalization
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USC Spatial Science Institute Bingchen Li
Methodology
1.OLS (Ordinary Least Squares)
2.FE (Fixed Effect Model)
3.MGWR (Multiscale Geographically Weighted Regression)
4.Global Moran's I
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USC Spatial Science Institute Bingchen Li
Core Results
1.Estimation results of the total effect.
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USC Spatial Science Institute Bingchen Li
2.Breakdown into each year: Annual Regression Result
The results of the annual regressions are shown in the figure below,
which presents the estimated coefficients from the yearly regressions from 2007 to 2021.
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USC Spatial Science Institute Bingchen Li
3.Breakdown into different area: Regional Regression Results
The models 1-3 with subscripts sequentially present the regression results for the
Eastern, Central, and Western regions.
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USC Spatial Science Institute Bingchen Li
4.Further discussion: Final Maps of the MGWR model
(due to space constraints, the Moran's I statistic is not displayed here).
2015 2016 2017 2018
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USC Spatial Science Institute Bingchen Li
5.Discussion & Future Work
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1.Impact of Urban Spatial Structure on Regional Economic Development
2.Spatial Distribution of Public Services and Its Effect on Urbanization
3.Green Infrastructure and Urban Spatial Layout
�Thanks for your attention!��
USC Spatial Science Institute Bingchen Li
Acknowledgements:
I would like to thank Associate Professor Sisi from SDL and USC SSI for their guidance in selecting the topic and writing the paper.�The selection of the research topic and the creation of the maps are free from any political bias. Any inappropriate aspects are welcome to be criticized and corrected.