【摘要】 利用我国经济发展步入新常态时期的2012—2014年的工业数据,增加涵盖人口、环境变化的产出变量,使用DEA数据包络的Malmquist指数法测算我国各省市工业技术进步状况,并基于省际面板数据使用Cobb-Douglas生产函数估计工业技术进步对工业产出的影响,结果表明:2012—2014年期间我国工业技术年均进步5.3%,相比1999—2009年期间,我国工业技术进步平均增长率从4.5%提高了0.8%.采用固定效应模型和随机效应模型,估计技术进步对工业产出的弹性分别为0.35%和0.38%.更多还原

【Abstract】 The industrial technology progress of provinces and cities in China is measured by Chinese new normal phase industrial data from 2012 to 2014,including output difference of population and environment,and utilizing Malmquist Index method included in DEA data.The influence of industrial technological progress in industrial output is estimated by Cobb-Douglas production function on the panel data of provinces.The result shows that the average annual progress of China’s industrial technology was 5.3% from 2012 to 2014,which is higher than the average annual progress from 1999 to 2009.The estimation of elasticity that industrial technological progress influenced on industrial output are 0.35% and 0.38% by fixed effect model and random effect model.更多还原