Abstract：This paper established the output index system of performance evaluation in local government debt using principal component analysis， and appraised local government debt performance in 30 province of China using the changed returns to scale model of the Data Envelopment Analysis. It shows that the efficiency of government debt in more than half of the provinces are in the stage of constant return to scale or decreasing return to scale. It is necessary to restrict excessive borrowing of local governments which is close to the maximum debt size， and control the size of local government debt in a reasonable range in order to improve the performance of local government debt. Encouraging private capital to participate in infrastructure construction， and diversifying investment structure can be beneficial to the improvement of government debt using efficiency. It is also necessary to define the government debt burden rate according to international practices and strictly abide by it. Improving the relevant legal system and local government officials’ assessment system， imposing responsibility of borrowers， and a scientific local government debt management performance evaluation mechanism are also important measures to improve the performance of government debt.
金荣学 毛琼枝. 基于主成分与数据包络组合法的地方政府债务绩效评价[J]. 华中师范大学学报（人文社会科学版）, 2017, 56(3): 55-61.
Jin Rongxue Mao Qiongzhi. Evaluation of Local Government Debt Efficiency Based on Principal Component Analysis and Data Envelopment Analysis. journal1, 2017, 56(3): 55-61.
2017, Vol. 56 
