CAJ | 학술논문

基于现有研究在测算工业企业技术创新效率时未考虑外部环境因素影响的缺陷，本文基于TOPSIS方法构建能有效剔除环境因素影响的改进DEA模型，在此基础上对中国2010年工业企业技术创新效率进行实证评价与分析，结果表明，中国工业企业技术创新效率确实受到经济发展水平、外资活动、政府支持、市场结构、所有制结构等环境因素的影响，根据创新效率与R＆D投入水平将我国各地区划分为高效率高投入、高效率低投入、低效率高投入和低效率低投入四种模式，各模式地区的工业企业应结合自身特点有针对性地采取不同的策略提升技术创新效率。
기우현유연구재측산공업기업기술창신효솔시미고필외부배경인소영향적결함，본문기우TOPSIS방법구건능유효척제배경인소영향적개진DEA모형，재차기출상대중국2010년공업기업기술창신효솔진행실증평개여분석，결과표명，중국공업기업기술창신효솔학실수도경제발전수평、외자활동、정부지지、시장결구、소유제결구등배경인소적영향，근거창신효솔여R＆D투입수평장아국각지구화분위고효솔고투입、고효솔저투입、저효솔고투입화저효솔저투입사충모식，각모식지구적공업기업응결합자신특점유침대성지채취불동적책략제승기술창신효솔。
Considering the existing researches in calculation of industrial enterprise 's innovation efficiency ignore the influence of external environment variables , this paper uses the adjusted DEA model based on TOPSIS meth-od which can exclude the influence of environment variables to investigate the industrial enterprise ’ s innovation efficiency in China in 2010 .The results indicate , the industrial enterprise ’ s innovation efficiency in China has been affected by environment variables such as the economy development level , FDI, government inventive poli-cies, market structure and ownership structure .Considering the industrial enterprise ’ s innovation efficiency and R&D input, the authors divide 30 provinces in China into four types:high efficiency and high input , high effi-ciency and low input , low efficiency and high input as well as low efficiency and low input , and put forward some countermeasures for the different types .