Studying Spatial Correlation and Regional Differences in Local Government Debt Performance Using Spatial Econometric Models
Published Online: Oct 28, 2023
Received: Jan 20, 2023
Accepted: May 08, 2023
DOI: https://doi.org/10.2478/amns.2023.2.00834
Keywords
© 2023 Haoran Dong et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.