摘要
基于交通科技项目评价体系涉及面宽、种类繁多和难以量化的特征分析,通过因子荷载阵及计算因子系数矩阵的估计方法,运用因子分析法完成了指标体系的降维处理.并采用构建基于投入的交通科技项目C2R模型,分析投入因子的效率评价指数、生产可能集约束系数和投入/产出松弛变量,结合因子分析逆向求解得到投入指标的有效值,从而得出交通科技项目投入人员及经费的有效利用率.所选的投入因子的特征根解释了总体方差的83.7%信息,确保了数据包络分析的适用性.
Base on transportation scientific program assessment index＇s characteristics of innumerability dimension and hardly quantization,a methodology named principle component analysis by measuring factor coefficient matrix is put forward to reduce the dimension of assessment index system.A transportation engineering research and development program assessment method basing on DEA （data envelopment analysis） is formulated for prediction of efficiency index,production possibility set＇s restraint coefficient and input／output slack variable.Then use the reciprocal process of principle factor method to calculate the effective availability of research and development personnel and funds.The input factor＇s characteristic root elucidates the 83.7% information of population variance,which guarantees the applicability of data envelopment analysis.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2008年第6期1121-1125,共5页
Journal of Southeast University：Natural Science Edition
基金
交通部西部交通建设科技项目计划资助项目(200431882232).
关键词
科技效率评价
投入产出指标体系
因子分析
数据包络分析
science and technology capability assessment
input-output system
principle component method
DEA（data envelopment analysis）
