中国省际现代服务业竞争力评价

Competitiveness Evaluation of Provincial Modern Service Industry in China

本文结合中国现代服务业现状,在构建中国省际现代服务业竞争力评价指标体系的基础上,运用主成分分析(PCA)和支持向量机(SVM)相结合的评价模型,对原始指标数据进行标准化处理,并运用支持向量机对中国省际现代服务业竞争力进行评价研究。研究结果表明PCA与SVM相结合的方法具有较好的预测效果,对省际现代服务业竞争力有一定的评价能力。

Considering the current situation of modem service industry in China, and based on building China＇s provincial modem service industry competitiveness evaluation index system, this paper standardizes the original index data using evaluation model combining the principal component analysis （PCA） with support vector machine （SVM）. Finally, it uses support vector machine （SVM） to evaluate provincial modem service industry competitiveness in China. Research results show that method combining PCA with SVM has better prediction effect and has a certain evaluation ability on provincial modern service industry competitiveness.