Technological convergence,coopetition and performance improvement in the emerging industry-An empirical analysis based on the global biochip industry
Zhao Yulin1, Li Yaya2
1．School of Economics / Research Center of Hubei Provincial Science and Technology and
Economic Development, Wuhan University of Technology, Wuhan 430070, Hubei, China;
2．School of Finance and Economics, Jiangsu University, Zhenjiang 212013, Jiangsu, China
Technological convergence across industries has become an important factor in the formation and performance improvement of emerging industries. This paper use EPO-PATSTAT database to search out 13101 patents of biochip industry, and based on Datastream, Osiris, Amadeus enterprise database to collect the financial data of 335 biochip firms. Using N index, Simpson diversity index and Shannon Wiener index method, based on patent data, estimates the width and depth of biochip industry technological convergence. Apply panel data of GLS regression method, based on patent data and financial data of 20 biochip sample enterprises from 2001 to 2013, empirically analysis that technological convergence induces coopetition which ultimately improve performance of strategic emerging industry. Results show that technological convergence can improve industry performance, which should consider both the width and depth of technological convergence; the effect mechanism of industry convergence innovation on industrial performance is presented with an opening downward "inverted U" curve. This research has important policy implications: deregulation of industry, strengthen R&D of cross industry generic technology, promote inter industry technological convergence; strengthen the new coopetition relationship between industries, which is more conducive to the expansion of the scale and performance improvement of strategic emerging industries.
Zhao Yulin, Li Yaya.Technological convergence,coopetition and performance improvement in the emerging industry-An empirical analysis based on the global biochip industry[J] Science Research Management, 2017,V38(8): 11-18