机构地区: 东莞理工学院
出 处: 《工业技术经济》 2013年第9期87-96,共10页
摘 要: 本文考虑了研发创新过程中的能源环境约束,构建能处理非期望产出Malmquist-Luenberger指数模型对中国30个省级区域及八大经济区2001-2011年间工业企业研发创新的全要素生产率及其分解指数进行测算,并分析其时序演进和空间分布的基本特征。研究发现:当考虑了研发创新过程中的能源环境约束后,中国工业企业研发创新全要素生产率指数(ML指数)与传统研发创新全要素生产率指数(M指数)比较,有一定程度的下降;技术进步是工业企业研发创新全要素生产率增长的源泉,技术效率呈下降态势;考察期内研发创新全要素增长率呈上升趋势的地区包括南部沿海、东部沿海、北部沿海、大西北地区;呈下降趋势的地区包括东北地区、长江中游、大西南、黄河中游。 This paper considers the energy and environmental constraints in R&D innovation process, constructing Malmquist- Lu- enberger index model which can treat undesirable outputs to measure the TFP of industrial enterprise innovation of China's 30 provincial re- gions and eight economic regions from 2001 to 2011, and analyzes the basic characteristics of distribution and spatial temporal evolution. It finds: when considering the energy and environmental constraints, the TFP index (ML index) has a certain degree of decline. Techno- logical progress is the source of the TFP growth, technical efficiency is in a downward trend; the regions with a upward trend in the TFP growth rate includes: the southern coast, east coast, north coast, northwest area; the regions with a downward trend includes: Yangtze River, northeast, southwest, the middle reaches of the Yellow River.