基于网络SBM-Malmquist模型的医药制造业创新效率及影响因素研究

The Research on Pharmaceutical Manufacturing Technical Innovation Efficiency and Its Influences Based on Network SBM Model and Malmquist index

摘要:

构建出一种新型的网络DEA模型，将两阶段网络DEA模型和Malmquist指数相结合测算了我国26个地区2006-2014年医药制造业创新效率的变化，并在此基础上采用系统矩估计法分析了影响医药制造业创新效率提高的因素。研究表明：我国医药制造业的创新效率总体处于上升趋势且地区间的差异很大，全要素增长率主要源于技术效率的增长，而技术总体上未有进步。市场结构、人力资本水平、对外开放度、研发强度及成长能力对医药制造业创新效率的提高有显著的正向作用；企业规模、经济发展水平对对医药制造业创新效率的提高有显著的负向作用；政府支持对医药制造业创新效率提高的影响无关。

Abstract:

: Constructed a kind of new network DEA model. Two-stage network DEA model was combined with Malmquist index to measure technical innovation efficiency’s change of pharmaceutical manufacturing on Chinese various provinces from 2006 to 2014,and based on this analyzed its influences by Sys-GMM. We found that technical innovation efficiency of Chinese pharmaceutical manufacturing is on the up trend and its differences between regions are high. The growth of TFP is due to technical efficiency, while technology has no progress. Market structure, the level of human capital, openness degree, R&D strength and growth ability has a significant positive effect on pharmaceutical manufacturing innovation efficiency, while Enterprise scale, the level of economic development have a significant negative effect on it ,and government’s support have no significant effect on it.