Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 28, 2023


Pages


DOI

Article

Studying Spatial Correlation and Regional Differences in Local Government Debt Performance Using Spatial Econometric Models


Authors

Haoran Dong Affiliation:
Faculty of Economics and Management, Luoyang Institute of Science and Technology, Luoyang 471023, China.
, Shiyu Wang Affiliation:
Department of Economics, Faculty of Arts and Social Sciences, National University of Singapore, 117570, Singapore.
, Yumeng Bai Affiliation:
School of Environmental Engineering and Chemistry, Luoyang Institute of Science and Technology, Luoyang, Henan, 471023, China.
, Jun Liu Affiliation:
School of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang, Henan, 471023, China.
and Fengrui Liu Affiliation:
School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, Hubei, 430073, China.


Abstract

The magnitude and type structure of local government debt are first analyzed in this work. Then, using the “4E” evaluation theory, a local government debt performance assessment index system is built. Second, an entropy-TOPSIS technique is used to calculate the risk index of local government debt performance, and a spatial econometric model is used to examine the geographical spillover impact of local government debt performance across different areas. Finally, the heterogeneity of local government debt management was evaluated using the Malmquist index. The findings demonstrate that the hypothesized national effect is often superior to the sub-regional effects, with a debt ratio regression result of -0.065. Despite the overall local government debt coefficient being -0.032, the direct impact coefficient for the eastern area is -0.025.


Keywords

Debt performance, Spatial econometric model, Malmquist index, Heterogeneity test, Spatial spillover effects, 91B44


Citation

Dong, H., Wang, S., Bai, Y., Liu, J., & Liu, F. (2023). Studying spatial correlation and regional differences in local government debt performance using spatial econometric models. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00834
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