Abstract: Regional Eco-innovation covers the level of regional economic development, innovation capabilities and environmental sustainability. It is a combination of innovation-driven development strategy and ecological civilization construction. This paper divides the Eco-innovation process into technology research and development stage and achievement transformation stage, and incorporates waste recycling, energy consumption and undesired output into the innovation process, and constructs a closed-loop network structure of the Eco-innovation process. On the above basis, combined Super-efficiency model and SBM model, proposed an improved network DEA model that considers waste recycling and undesired output, which is used to measure the overall efficiency of regional Eco-innovation and the efficiency of each sub-stage, further establishes a measurement model of Eco-innovation scale efficiency to explore the scale efficiency of each decision-making unit. Finally collect the relevant panel data of China's regional innovation to conduct an empirical analysis, and the results show that the proposed method is effective and feasible. This paper expands the research on the Eco-innovation efficiency base on the network DEA structure, from the perspective of closed-loop Eco-innovation of waste recycling, it provides a certain theoretical reference and practical enlightenment for the optimal allocation of regional innovation system resources.

摘要： 区域生态创新涵盖了地区经济发展水平、创新能力和环境可持续状况，是创新驱动发展和生态文明建设两大国家战略的融合。将生态创新过程划分为科技研发阶段和成果转化阶段，并将废弃物回收再利用、能源消耗及非期望产出纳入创新过程，构建了生态创新过程的闭环网络结构；在上述基础上，结合超效率模型、SBM模型，提出了考虑废弃物回收再利用、非期望产出的改进网络DEA模型，用于测度区域生态创新总体效率和各子阶段效率，并进一步建立生态创新规模效率的测度模型探究各决策单元的规模效率；最后收集我国区域创新的相关面板数据进行了实证分析，结果表明所提出的方法有效、可行。拓展了网络DEA结构下的生态创新效率研究，从废弃物回收利用的闭环生态创新视角，为区域创新系统资源的优化配置提供了一定的理论参考与实践启示。