Local government debt risk measurement and early warning structural system building — Research Based on KMV and TOPSIS Models

نویسندگان

چکیده

In this paper, by using the Statistical analysis Software SPSS20, 30 and Cities of our country’s local government structural debt risk has been carried on empirical analysis, entropy weight method to determine specific each index, reduced subjective factors influence result index distribution, expectations defaults situation comprehensive evaluation debt. By comparing size threshold value, debt, results show that in 7 provinces cities China are state no warning risk, 10 mild warning. Means State Moderate warning, other words, it means it’s time generate high most need take scientific measures

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ژورنال

عنوان ژورنال: E3S web of conferences

سال: 2021

ISSN: ['2555-0403', '2267-1242']

DOI: https://doi.org/10.1051/e3sconf/202123502039