Skip to main content
SpringerLink
Log in
Book cover

International Conference on Management Science and Engineering Management

ICMSEM 2018: Proceedings of the Twelfth International Conference on Management Science and Engineering Management pp 835–845Cite as

Empirical Analysis of Online Finance Promoting Efficiency of Science and Technology Output

  • 1656 Accesses

Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)

Abstract

Does online finance promote the efficiency of science and technology output in a region? In this paper, data envelopment analysis model (DEA Model) is used to evaluate the output efficiency, and online financial development level and technology output of Chinas 31 major cities are used as input and output indicators respectively. We find that the comprehensive technical efficiency of Beijing, Shanghai and Suzhou is 1, and the pure technical efficiency of Chongqing, Shenzhen and Shijiazhuang is 1, i.e., the input and output of the first three cities are in a relatively balanced state, and the latter three cities achieve the maximum output under the given input. Then, we use Tobit Model to analyze the factors that affect the comprehensive technical efficiency, and we find that the total GDP, financial institution strength and financial ecological environment of a region significantly affect the comprehensive technical efficiency, i.e., the local government can change the efficiency of science and technology output by changing the above three factors.

Keywords

  • Online finance
  • Science & technology output
  • DEA-Tobit model

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   429.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Chin MS, Chou YK (2001) Financial innovations and endogenous growth. Dep Econ Work Papers Ser 24:1–24

    Google Scholar 

  2. Consoli D (2005) The dynamics of technological change in uk retail banking services: an evolutionary perspective. Res Policy 34(4):461–480

    CrossRef  Google Scholar 

  3. Fan X (2016) Efficiency research of chinese commercial banks based on super-efficiency dea method. Am J Ind Bus Manag 6(4):526–534

    Google Scholar 

  4. Han W (2015) Empirical analysis of combination efficiency of s & t and finance based on dea-tobit model: Taking henan province as an example. J Financ Dev Res 09:36–40

    Google Scholar 

  5. Hsu PH, Tian X, Xu Y (2012) Financial development and innovation: cross-country evidence. J Financ Econ 112(1):116–135

    CrossRef  Google Scholar 

  6. Hua Y, Zhao N (2013) Study of t&f efficiency based on dea modela case of anhui province. Res Financ Educ 03:46–49

    Google Scholar 

  7. Kumar S (2010) Technical efficiency and its determinants in the indian domestic banking industry: an application of dea and tobit analysis. Am J Financ Account 1(3):256–296

    CrossRef  Google Scholar 

  8. Li J, Ma S (2017) The financial effects of small and medium sized enterprises participating in the bridge loan business: Evidence from companies listed on sme board. J Financ Res 03:116–129

    Google Scholar 

  9. Liu G, Li J (2017) Study on input-output efficiency of science popularization in china based on three-stage dea model. China Soft Sci 05:140–148

    Google Scholar 

  10. Wang LJ (2017) Dea-tobit analysis of alfalfa productive efficiency in minqin, gansu. Pratacultural Science

    Google Scholar 

  11. Wei Z, Jin Y, Wang J (2015) Greenization of venture capital and green innovation of chinese entity industry. Ecol Indic 51:31–41

    CrossRef  Google Scholar 

  12. Xu Y, Wang H (2012) The supporting role of science and technology finance on technology innovation: empirical analysis based on bootstrap method. Sci Technol Prog Policy 29(3):1–4

    Google Scholar 

  13. Zhang S, Li Y (2017) A research on the influential factors of technology and financial efficiency based on the dea—tobit model. Sci Technol Manag Res 6:29–34

    Google Scholar 

  14. Zhang X, Liu B et al (2017) Small-and-medium banks and small-and-medium enterprise loans. Econ Res J 05:161–174

    Google Scholar 

  15. Zhu H (2010) Empirical analysis of the effect of our financial development on technological innovation. Sci Technol Manag Res

    Google Scholar 

Download references

Acknowledgements

Key Research Institute of Science and Technology Finance Mathematical Finance in Sichuan. 1. Research on Policy-based Science and Technology Finance Based on Internet Finance, from key soft science and technology project of Sichuan Province (2017ZR0116). 2. Research on Science and Technology Finance Innovation of Chengdu Based on Internet Finance, from key soft science and technology project of Chengdu (2016-RK00-00163-ZF). 3. Construction of Science and Technology Financial Service Sharing Platform in Sichuan ,from Platform Project of Sichuan Science and Technology Department (2017TJPT0055).

Author information

Authors and Affiliations

  1. Business school, Sichuan university, Chengdu, 610064, People’s Republic of China

    Jun Wang, Rantao Cui & Yiran Long

Authors
  1. Jun Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rantao Cui
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yiran Long
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jun Wang .

Editor information

Editors and Affiliations

  1. Sichuan University, Chengdu, China

    Prof. Jiuping Xu

  2. Monash University, Department of Management, Melbourne, VIC, Australia

    Prof. Fang Lee Cooke

  3. Fuzzy Logic Systems Institute, Tokyo University of Science, Tokyo, Japan

    Prof. Mitsuo Gen

  4. Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada

    Prof. Syed Ejaz Ahmed

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, J., Cui, R., Long, Y. (2019). Empirical Analysis of Online Finance Promoting Efficiency of Science and Technology Output. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_66

Download citation

search

Navigation