• 当下经济问题探讨 •

### 创新要素空间错配及其创新效率损失:模型分解与中国证据

1. 1 华东师范大学中国现代城市研究中心;
2 华东师范大学经济与管理学部, 上海, 200241
• 发布日期:2020-01-14
• 作者简介:董直庆,华东师范大学中国现代城市研究中心/经济与管理学部教授,博士生导师;胡晟明,华东师范大学经济与管理学部博士研究生(上海,200241)。
• 基金资助:
国家自然科学基金面上项目"要素与技术耦合视角下技术进步偏向性的形成机理、路径转换和跨国传递机制研究"（项目编号：71573088）；国家社科基金重点项目"供给侧结构性改革下东北老工业基地创新要素流动集聚与空间结构优化研究"（项目编号：17AZD009）；华东师范大学"幸福之花"先导研究基金项目"人工智能技术的劳动就业替代与岗位创造效应及劳动力市场新格局研究"。

### Spatial Misallocation of Innovation Factors and Efficiency Loss: Model Analysis and China's Evidence

DONG Zhi-qing1,2, HU Sheng-ming2

• Published:2020-01-14

Abstract: Current study has focused on the loss of total factor productivity caused by the misallocation of production factors, but generally ignores the misallocation of innovation factors such as R&D personnel and R&D capital, and the loss of innovation efficiency due to differences in the factor quality and input structure. This paper introduces the classification of factors into the framework of the spatial misallocation, and selects the provincial panel data to measure the misallocation and the loss of innovation efficiency. The results show that the spatial misallocation of innovation factors is serious and has severely obstructed the innovation efficiency in China. Mitigating the misallocation of innovation factors will promote an average annual increase of 0.7% in innovation efficiency. Furthermore, there exist significant differences in the misallocation and the resulting efficiency losses of various innovation factors. The misallocation of R&D capital leads to greater efficiency losses. Compared with basic research and applied research, the R&D capital of experimental development is more deeply misallocated and has a greater impact on innovation efficiency. Meanwhile, low-and medium-skilled labor is more likely to be misallocated. Therefore, in order to improve the innovation efficiency in China, the government should take regional differences and element types as important considerations for the rational allocation of innovation resources.