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| Research on Measurement and Convergence of Green Total Factor Productivity in Chinese Patent-Intensive Industries |
| Yuan Qian1,Wu Lihua1,Zhang Ping2 |
| (1.School of Economic and Management,Southeast University,Nanjing 211189,China; 2.School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China) |
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Abstract Based on the panel data of patent intensive-industries from 2007 to 2017,the research utilizes GML index model to measure the green total factor productivity of 8 patent-intensive industries and analyses its convergence.The results show that:the overall level of green total factor productivity in patent-intensive industries is relatively high and comparing it with traditional total factor productivity proves that the "Porter Hypothesis" has emerged.The green total factor productivity of patent-intensive industries shows a growth trend on the whole,with the greatest contribution from technological progress.The growth level and dynamic trend of green total factor productivity in different industries are not the same.The internal gap of green total factor productivity in the whole industries,strong patent-intensive industries and weak patent-intensive industries is still large.The whole industries and strong patent-intensive industries tend to converge toward a common steady state and their own steady state,while weak patent-intensive industries only tend to converge toward their own steady state.Industry concentration and industry size have a positive effect on the convergence of the whole industries and weak patent-intensive industries.For strong patent-intensive industries,R&D investment is positively significant.
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Received: 25 February 2020
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