基于主成分与数据包络组合法的地方政府债务绩效评价

发布时间：2018-03-10 15:36

本文选题：地方政府性债务　切入点：绩效评价　出处：《华中师范大学学报(人文社会科学版)》2017年03期 　论文类型：期刊论文

【摘要】：运用主成分分析法选取地方政府性债务效率输出指标体系,并运用数据包络分析法的BC2模型评价我国30个省的政府性债务绩效,实证发现我国半数以上省份的政府性债务使用效率处于规模报酬递减或不变的阶段。为了提高地方政府性债务绩效,必须约束接近债务规模上限的地方政府过度举债行为,把地方政府性债务规模控制在合理的范围内。鼓励民间资本参与基础设施建设,形成多元化的投资主体,利于提高债务资金使用效率。按照国际惯例确定政府性债务负担率,并严格控制债务负担率。完善相关法律制度和地方政府官员考核管理体系,明确举债人责任,形成科学化的地方政府性债务管理考核机制也是提高政府性债务绩效的重要举措。
[Abstract]:The principal component analysis method is used to select the output index system of local government debt efficiency, and the BC2 model of data envelopment analysis is used to evaluate the performance of government debt of 30 provinces in China. In order to improve the performance of local government debt, it is necessary to restrain the excessive borrowing behavior of local government near the debt scale ceiling, in order to improve the performance of local government debt, it is found that the use efficiency of government debt in more than half of the provinces in China is in the stage of decreasing or not changing in scale. To control the scale of local government debt within a reasonable scope, to encourage private capital to participate in infrastructure construction, to form a diversified investment body, and to contribute to improving the efficiency of the use of debt funds, and to determine the government debt burden rate in accordance with international practice, It is also an important measure to improve the performance of government debt by strictly controlling the debt burden rate, perfecting the relevant legal system and the examination management system of local government officials, clarifying the liability of the borrower and forming a scientific assessment mechanism of local government debt management.
【作者单位】：中南财经政法大学财政税务学院;
【基金】：教育部哲学社会科学研究重大课题攻关项目“政府债务预算管理与绩效评价研究”(15JZD024)
【分类号】：F224;F812.5

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