Junhong Bai Professor
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- Regional Innovation
- Technological Innovation
- Governments’ Technical Funding
- Analysis of Efficiency and Productivity
- Regional Innovation
- Technological Innovation
- Governments’ Technical Funding
- Analysis of Efficiency and Productivity
Business Address: School of Business, Nanjing Normal University, NO.1 Wenyuan Road, Qixia District, Nanjing, Jiangsu
E-mail: nsdbjh@126.com
Bai has dedicated to the research on Regional Innovation, Technological Innovation, Governments’ Technical Funding and Analysis of Efficiency and Productivity and has achieved abundant results. Bai has conducted and completed a number of projects of National Natural Science Foundation of China and received 4 provincial level scientific research awards and 5 municipal level awards. Bai was selected as a member of Nanjing Normal University’s “One Hundred Young Leading Talents” plan in 2015 and the third grade cultivation object of “333 Project” in 2016.
Selected Publications
Synegy innovation, spatial correlation and regional innovation performance [J]. Economic Research Journal, 2015, (7):174-187.
The Effect of innovation-driven on regional economic disparity in China: convergence or divergence? [J]. Economic Science, 2016, (2):18-27.
Does Government Support Promote IUR Synergy Innovation?[J]. Statistical Research, 2015, (11):43-50.
Research on the characteristics of spatial autocorrelation of R&D in Chinese government [J]. Science Research Management, 2016, 37(1):77-83.
FDI Quality and Improvement of Environmental Pollution in China [J]. Journal of International Trade, 2015, (8):72-83.
Research on the spatial convergence of China's regional innovation efficiency from the perspective of value chain [J]. Nanjing Business Review, 2015, (3):29-48.
Whether the regional flow of R&D factors promotes the innovation efficiency [J]. Forum on Science and Technology in China, 2015, (12):27-32.
Research on the relationship between the enterprise technological progress and the synergy innovation with cooperation, university and research institution [J]. Forum on Science and Technology in China, 2015, (6):38-44.
Whether the flow of R & D personnel promotes the convergence of regional innovation [J]. Journal of Intelligence, 2016, 35(3):195-202.
The Structural Adjustment and Energy Related Carbon Emission: Review on the Target of Emission Reduction Achieved [J]. 2015, (1):59-74.
Research Grants
The National Natural Science Found of China (71573138) “The effects of synergy innovation and spatial correlation on regional innovation performance”
Teaching:
1. Microeconomics (undergraduate)
2. Macroeconomics (undergraduate)
3. Professional Introduction Courseware (undergraduate)
4. Regional Economics (postgraduate)