<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Department of Economics, Faculty of Arts and Social Sciences

Applied Mathematics and Nonlinear Sciences

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...

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

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 20. Jan. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00834

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

© 2023 Haoran Dong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 20. Jan. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00834

SchlüsselwörterDebt performance, Spatial econometric model, Malmquist index, Heterogeneity test, Spatial spillover effects

© 2023 Haoran Dong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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