Abstract:This paper uses panel data from 57 countries along the “Belt and Road” to construct a three-stage and five-system Network DEA-Malmquist index model. On the basis of measuring R&D efficiency and decomposing the total factor productivity index, it analyzes the effect of R&D efficiency on economic growth combined with spatial econometric models. It also judges whether technological catch-up or technological innovation supports the country’s economic growth at various stages, which will help countries along the route to find ways to improve R&D efficiency and accelerate economic growth. The main findings are: (1) The R&D efficiency index of all factors has increased significantly from the patent production stage to the new product production stage. The improvement of R&D efficiency in various countries mainly depends on the improvement of technical efficiency rather than technological progress; (2) R&D capital investment has a significant positive impact on R&D efficiency, and R&D personnel have a negative and insignificant impact on R&D efficiency; ( 3) The contribution of the intermediate output of the patent production stage to economic growth is greater than the contribution of the final output of the new product production stage to economic growth; (4) Compared with the improvement of technical efficiency, technological progress has a greater contribution to economic growth. Among technical efficiency, pure technical efficiency contributes more. In the second stage, compared with the number of scientific papers, the number of valid patent applications has a greater contribution to economic growth. In the third stage, compared with the industrial added value, the sales revenue of new products makes a greater contribution to economic growth.