Research on the Evaluation of DEA Area Technological Innovation Cross-Efficiency Based on the Relationship Between Competition and Cooperation
Pang Hong-mei
Abstract
Pang Hong-mei
Abstract
Regional technological innovation efficiency and ability has become a decisive factor to measure the international competitive advantage of regional economy.Through establishing index system of regional technological innovation efficiency,this paper first introduces the DEA cross efficiency model with application of coefficient matrix to measure the technological innovation efficiency of 30 provinces,municipalities and autonomous regions in China and rank them completely in 2009.Results show that the efficiency of technological innovation in all 30 provinces and municipalities has lifting space.Meanwhile,elements improvement method based on the symbiotic level of efficiency is introduced to calculate the input redundancy and output shortage of each province and municipalities.Furthermore,it cluster 30 areas according to the data of input variable and do analysis on them.Finally,provincial and municipal improvement and technical innovation efficiency improved benchmarks of lower provinces is given according to the result of clustering.
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Regional technological innovation efficiency and ability has become a decisive factor to measure the international competitive advantage of regional economy.Through establishing index system of regional technological innovation efficiency,this paper first introduces the DEA cross efficiency model with application of coefficient matrix to measure the technological innovation efficiency of 30 provinces,municipalities and autonomous regions in China and rank them completely in 2009.Results show that the efficiency of technological innovation in all 30 provinces and municipalities has lifting space.Meanwhile,elements improvement method based on the symbiotic level of efficiency is introduced to calculate the input redundancy and output shortage of each province and municipalities.Furthermore,it cluster 30 areas according to the data of input variable and do analysis on them.Finally,provincial and municipal improvement and technical innovation efficiency improved benchmarks of lower provinces is given according to the result of clustering.
Key concepts: Economic shortage, Industrial organization, Competition (biology), Data envelopment analysis, Index (typography), Cluster analysis, Business, Redundancy (engineering)