Enterprises’ Social Capital and the Economic Performance of Local Government Funded Science and Technology Projects: An Empirical Research

Tian-qi Li (), Guo-qing Huo and Xiao-dong Zhang
Additional contact information
Tian-qi Li: Graduate University of Chinese Academy of Sciences
Guo-qing Huo: Graduate University of Chinese Academy of Sciences
Xiao-dong Zhang: Graduate University of Chinese Academy of Sciences

Chapter Chapter 57 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 533-543 from Springer

Abstract: Abstract In the process of the implementation of government funded science and technology projects, enterprises can accumulate a certain amount of social capital through establishing social relationships with governments, universities, science and technology organizations, and banks. This paper firstly determined social capital and economic performance of local government funded science and technology projects factors and criteria weights in conjunction with professional opinions and the analytical hierarchy process. Then based on the analysis of 40 science and technology projects financially supported by Karamay, we set up a multiple linear regression model to test the assumptions of the correlation between the economic performance of projects and enterprises’ social capital accumulated in the process of implementing science and technology projects. Results indicate that there is a notably positive correlation between social capital and project economic performance.

Keywords: Analytic hierarchy process (AHP); Economic performance of projects; Empirical research; Government funded science and technology projects; Social capital (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38427-1_57

Ordering information: This item can be ordered from
http://www.springer.com/9783642384271

DOI: 10.1007/978-3-642-38427-1_57

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().