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Sensitive Analysis of the Cargo Transported by Ports Contributes to Hinterland Economy Based on Input–Output Model

  • Guiliang TianEmail author
  • Yi Zhuang
  • Jianzhong Hu
  • Xiujuan Guo
Conference paper
  • 1k Downloads
Part of the Computational Risk Management book series (Comp. Risk Mgmt)

Abstract

This paper analyzes the sensitivity of cargo transported by ports contributes to regional economic development from inside of port industry making specific port transport cargo as its research objective. Firstly, membership relation between port transport cargo and port industry is clarified before analyzing forward connections effect of port entry cargo to regional economy and backward connections effect of port leaving cargo to regional economy based on input–output model in this paper. Since ripple effect of various cargoes to economy is completed in many years, Taylor Expansion is used to peel off the current contribution of port transport cargo to regional economic development. Finally, an empirical research is conducted with data from Fujian Province. Conclusions draw from this research can serve for decision department of government to diagnose economic operation by ports promptly.

Keywords

Backward connections effect Cargo transported by ports Forward connections effect Fujian Input–output model Port contribution rate Sensitive analysis 

Notes

Acknowledgement

We would like to show our deepest gratitude each member of research project (Research on Economic Contribution of Ports in Fujian province) group. This research was supported by the National Natural Science Foundation of China(Grant No. 41001377), Social Sciences Programming Fund of Ministry of Education of China(Grant No. 09YJC790067) and “211” project key disciplines (Technology Economy and Management) projects of Hohai University, All remaining shortcomings are ours.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Guiliang Tian
    • 1
    Email author
  • Yi Zhuang
    • 1
  • Jianzhong Hu
    • 2
  • Xiujuan Guo
    • 1
  1. 1.Investment InstituteHohai UniversityNanjingChina
  2. 2.Traffic Planning Office of Fujian ProvinceFuzhouChina

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