中文摘要：

随着科学技术日新月异，技术在提升我国经济发展质量和效益方面的作用日益凸显，然而其对我国经济发展的贡献水平究竟有多高，目前尚缺乏科学的评估模型对其进行准确测算。本文以有效专利量作为技术投入替代变量，建立了以资本、劳动与技术为投入的规模报酬可变的C—D生产函数改进模型，并根据经济发展水平与产业结构差异，将我国31个省市区划分为领先区、崛起区和发展区三大区域，运用2006—2012年的面板数据，采用岭回归方法考察了我国不同区域生产要素产出弹性差异。回归结果表明：规模报酬与经济发达程度负相关；领先区高端服务业比较发达，资本成为其经济转型的重要推手；崛起区传统民营经济比重大，劳动的经济贡献高于技术贡献；发展区自主经济成分大，技术贡献水平较高。

英文摘要：

Along with the rapid progress in science and technology, technology is more and more important in improving the quality and efficiency of China＇s economic development. However, it is still lack of a scientific evaluation model to measure what is the contribution level of technology to the economic development in our country. This paper firstly develops C - D production function improved model on variable returns to scale using capital, labor and technology as inputs, based on the amount of valid patent as technology substitute variable. Then according to the differences of economic development level and industrial structure, China＇s 31 provinces are divided into the developed area, the rise area and the developing area by cluster analysis. Next using the panel data of 2006 -2012, this paper estimates the output elasticity differences of production factors between these three regions by ridge regression which is applicable for the multicollinearity. The results show that ： returns to scale is negatively correlated with the level of economic development ; the developed area owns high - end service industry, capital has become an important driving force in its economic transformation ; traditional private economy occupies a large proportion in the rise area, the labor＇s economic contribution is higher than that of technology; proportion of independent economic composition and technical contribution level is higher in the developing area.