DocumentCode
430082
Title
Firm size, R&D, and performance: an empirical analysis on software industry in China
Author
Quo, B. ; Wang, Q.Z. ; Shou, Y.Y.
Author_Institution
Sch. of Manage., Zhejiang Univ., Hangzhou, China
Volume
2
fYear
2004
fDate
18-21 Oct. 2004
Firstpage
613
Abstract
Chinese software industry has experienced a rapid growth during recent years. Many studies argue that the relative small average firm size and low input into R&D problems have negative impact upon sustainable development of Chinese software industry. These arguments are obviously based on two prerequisite, one is the existing of economies of scale in software industry, and the other is the positive impact of R&D upon firm performance. Based on two datasets, in which one is city level data published by National Bureau of Statistics of China and the other is firm level data collected in Hangzhou City of China, This work carries out empirical analysis on the economies of scale issue and impact of R&D on firm performance in software industry in China. The results reveal that firm size has consistent positive impact on productivity, but no significant influence on profitability. The positive influence of firm size on productivity is due to specialization degree and more inputs into the adoption of management tools in large firms. For the negative influence on profitability, the relative technical advantage still cannot sustain their product price premium under the intensifying competition from small firms, while R&D spending will increase development cost for large- and medium-sized software firms. As to the impact of R&D on firm performance, it is found that R&D intensity has significant negative on profitability, and on productivity to a certain extent. We also found that R&D professional ratio has positive impact upon firm profitability and productivity because of the nature of people-embodied knowledge transfer in software industry. Besides, we have not found evidence for significant positive influence of financial support in R&D from government, which mean that indirect policy instruments such as preferential taxation treatment are more efficient than direct R&D subsidiaries in Chinese software industry. Finally, the policy implications of these findings are discussed and concluded.
Keywords
DP industry; economies of scale; government policies; productivity; profitability; research and development; software houses; sustainable development; taxation; Chinese software industry; Hangzhou City; National Bureau of Statistics of China; R&D; economies of scale; empirical analysis; firm level data collection; indirect policy instruments; large-medium-sized software firms; management tools; people-embodied knowledge transfer; positive impacts; preferential taxation treatment; productivity; profitability; sustainable development; Cities and towns; Computer industry; Economies of scale; Performance analysis; Productivity; Profitability; Research and development; Software performance; Statistical analysis; Sustainable development;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering Management Conference, 2004. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8519-5
Type
conf
DOI
10.1109/IEMC.2004.1407451
Filename
1407451
Link To Document