Abstract
This paper evaluates the efficiency and productivity of the environmental R&D projects focused on the Next Generation Eco-Innovation Projects using data envelopment analysis (DEA) and Malmquist. Environmental R&D projects consist of 19 decision making units (DMU). Two input variables and three output variables are selected to evaluate them. Inputs are total funds and researchers. Outputs are patents, papers and revenues from the projects. This paper uses a two-stage approach. First, it measures the efficiency and productivity of the environmental research projects by using DEA and Malmquist. Second, it classifies 19 DMUs into 4 groups in terms of the integrated efficiency based on the scores of static efficiency and dynamic efficiency. Then it suggests that inefficient DMUs should be improved by benchmarking the efficient DMUs. This study is expected to provide government officials with policy implications about which environmental R&D projects are inefficient and how to improve their efficiency.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
