Research on Marketization Process and Innovation Efficiency of Guangdong-Hong Kong-Macao Greater Bay Area-Spatial Autocorrelation Model Based on Geography and Network Weighting
- 1 Jinan University, Guangzhou, China
Abstract
This paper uses the Malmquist index method to measure the innovation efficiency of Guangdong-Hong Kong-Macao Greater Bay Area in 2009-2016, and decomposes the innovation efficiency into resource allocation efficiency and technological progress rate. It is found that the efficiency of innovation and allocation in Guangdong-Hong Kong-Macao Greater Bay Area shows a steady growth trend. The cities on the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area are more obvious, but in general, the cities on east coast of Guangdong-Hong Kong-Macao Greater Bay Area have higher comprehensive efficiency and technological progress. On this basis, the spatial measurement method is used to demonstrate the impact of the marketization process of Guangdong-Hong Kong-Macao Greater Bay Area on its innovation efficiency. The empirical results show that the marketization process has a significant role in promoting the innovation efficiency of Guangdong-Hong Kong-Macao Greater Bay Area. And there are certain regional differences. The innovation efficiency of the cities on the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area is more significantly affected by the marketization process, while the East Coast cities are more sensitive to changes in economic density and industrial structure. In addition, there is a certain positive spatial correlation between innovation efficiency, especially in the east coast cities of Guangdong-Hong Kong-Macao Greater Bay Area. The cities with high innovation efficiency show a certain geographical concentration distribution, indicating that the regions with high innovation efficiency have certain promotion to innovation efficiency of neighboring regions.
- Chen, J., & Dai, M. (2018). Regional Corruption, Risk Avoidance and Innovation Redundancy—Also on the Test of Corruption “Suppression Theory” and “Promotion Theory”. Economic and Social Systems, No. 2, 69-80.
- Chen, S. Y., & Yang, J. K. (2017). Can Population Agglomeration Promote Regional Technology Innovation? An Empirical Study of Provincial Panel Data from 2005 to 2014. Science & Technology Progress and Policy, 34, 45-51.
- Cheng, L. W., & Sun, W. (2012). The Influence of Marketization Degree on the Efficiency of Independent Innovation Allocation—Analysis of Panel Data of High-Tech Industry Based on Cost-Malmquist Index. China Soft Science, No. 5, 128-137.
- Ciccone, A., Cingano, F., Cipollone, P. et al. (2006). The Private and Social Return to Schooling in Italy. Giornale Degli Economisti E Annali Di Economia, 63, 413-448. https://doi.org/10.2139/ssrn.895463
- Comin, D., & Nanda, R. (2014). Financial Development and Technology Diffusion. Harvard Business School Entrepreneurial Management Working Paper, No. 15, 15-36. https://doi.org/10.2139/ssrn.2520551
- Dai, K. Z., & Liu, Y. J. (2013). The Impact of Marketization Process on Innovation Efficiency and Industry Difference—An Empirical Test Based on China’s High-Tech Industry. Journal of Finance and Economics, 39, 4-16.
- Deng, Q., & He, A. P. (2017). Urban-Rural Income Gap, Labor Quality and Economic Structure Transformation—An Empirical Study from Chinese Provincial Data. Social Sciences Research, No. 6, 22-30.
- Fan, G., & Wang, X. L. (2011). Contribution of China’s Marketization Process to Economic Growth. Economic Research, 46, 4-16.
- Fan, G., & Wang, X. L. (2011). Contribution of China’s Marketization Process to Economic Growth. Economic Research, 46, 4-16.
- Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120, 252-290. https://doi.org/10.2307/2343100
- Ge, D. Y. (2018). Research on Industrial Diversity, Economic Density and Urban Innovation Ability. Shanghai: East China Normal University.
- Guan, J. C., & Chen, K. H. (2009). Measurement of Technological Innovation Efficiency of High-Tech Industry in China. Quantities Economics & Technology Research, 26, 19-33.
- Han, J. (2010). Research on Innovation Efficiency of China’s High-Tech Industry—An Empirical Analysis Based on SFA Method. Science Research, 28, 467-472.