Analysis of Macro-micro Simulation Models for Service-Oriented Public Platform: Coordination of Networked Services and Measurement of Public Values

  • Yumiko Kinoshita
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 305)

Abstract

When service sectors are a major driver for the growth of the world economy, we are challenged to implement service-oriented infrastructure as e-Gov platform to achieve further growth and innovation for both developed and developing countries. According to recent trends in service industry, it is clarified that main factors for the growth of service sectors are investment into knowledge, trade, and the enhanced capacity of micro, small, and medium-sized enterprises (MSMEs). In addition, the design and deployment of public service platform require appropriate evaluation methodology. Reflecting these observations, this paper proposes macro-micro simulation approach to assess public values (PV) focusing on MSMEs. Linkage aggregate variables (LAVs) are defined to show connection between macro and micro impacts of public services. As a result, the relationship of demography, business environment, macro economy, and socio-economic impact are clarified and their values are quantified from the behavioral perspectives of citizens and firms.

Keywords

Macro-micro simulation models linkage aggregate variables e-Gov service-oriented public infrastructure public value 
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References

  1. 1.
    Sudoh, O.: The Knowledge Network in the Digital Economy and Sustainable Development. In: Sudoh, O. (ed.) Digital Economy and Social Design, pp. 3–38. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  2. 2.
    Council on Competitiveness, Innovate America (2004), http://www.compete.org/publications/detail/202/innovate-america/
  3. 3.
    Sudoh, O., Inoue, S., Nakashima, N.: eService Innovation and Sensor Based Healthcare. In: Oya, M., Uda, R., Yasunobu, C. (eds.) Towards Sustainable Society on Ubiquitous Networks, pp. 1–14. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  4. 4.
  5. 5.
    Atkinson, R.D., Castro, D.D.: Digital Quality of Life -Understanding the Personal & Social Benefits of the Information Technology Revolution. Information Technology and Innovation Foundation (2008)Google Scholar
  6. 6.
    Bellinghen, D.V.: Grameen Health and Pfizer Announce Novel Partnership To Explore Sustainable Healthcare Delivery Models for The Developing World, Corporate news (September 24, 2008), http://www.pfizer.be/Media/Press+bulletins/Philantropy/Grameen+Health+and+Pfizer+Partnership.htm
  7. 7.
    The World Bank: Global economic prospects (2008)Google Scholar
  8. 8.
    The World Bank: Global economic prospects (2009)Google Scholar
  9. 9.
    European Commission: The new SME definition (2008), ec.europa.eu/enterprise/enterprise_policy/sme_definition/sme_user_guide.pdf
  10. 10.
    Ayyagari, M., Beck, T., Demirguc-Kunt, A.: Small and Medium Enterprises Across the Globe. Small Business Economics 29, 415–434 (2007)CrossRefGoogle Scholar
  11. 11.
    Sudoh, O.: Administrative Evolution and Open Innovation. Journal of Social Informatics Research 1(1), 147–160 (2008)Google Scholar
  12. 12.
    Miles, I.: Innovation in Services. In: Fagerberg, J., Mowery, D.C., Nelson, R.R. (eds.) The Oxford Handbook of Innovation, pp. 433–458. Oxford University Press, Oxford (2006)Google Scholar
  13. 13.
    Finnish Funding Agency for Technology and Innovation (TeKes): Serve -Innovative Internationally competitive business from service innovations (2007), http://www.tekes.fi/serve
  14. 14.
    OECD: Innovation and Knowledge-Intensive Service Activities (2006)Google Scholar
  15. 15.
    Service Innovation Research Initiative: Proposal Towards the Establishment of an Informatical Foundation of Services to Realize Innovation. Division of University Corporate Relations, the University of Tokyo (2009), www.ducr.u-tokyo.ac.jp/service-innovation/pdf/090331teigen-en.pdf
  16. 16.
    World Trade Organization, Time Series on International Trade (2009)Google Scholar
  17. 17.
    Kinoshita, Y., Sudoh, O.: Network-driven Context in User-driven Innovation. In: Oya, M., Uda, R., Yasunobu, C. (eds.) Towards Sustainable Society on Ubiquitous Networks, pp. 245–252. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  18. 18.
    OECD: Economic, Environmental and Social Statistics. OECD Factbook (2008), http://www.oecd.org/publications/factbook
  19. 19.
    International Finance Corporation, the World Bank: Micro, Small, and Medium Enterprises: A Collection of Published Data (2007)Google Scholar
  20. 20.
    Borresen, P.L.: OIOUBL -Case Study of How to Implement a Nationwide Procurement Standard. In: OASIS Symposium (2007)Google Scholar
  21. 21.
    Stauning, S.: Establishing a National Service Oriented eBusiness and eGovernment Infrastructure. In: OASIS Symposium (2007)Google Scholar
  22. 22.
    Brun, M.H., Lanng, C.: Reducing barriers for e-business in SME’s through an open service oriented infrastructure. In: Proceedings of the 8th international conference on Electronic commerce, pp. 403–410. ACM, New York (2006)Google Scholar
  23. 23.
    Yongxiang, W.: Information System Integration Project of China Securities Regulatory Commission (CSRC). In: OASIS Symposium (2007)Google Scholar
  24. 24.
    European Commission, EURES, http://www.europa.eu.int/eures/
  25. 25.
    Sudoh, O., Gotoh, R., Akatsu, M., Yoshikawa, H., Nakagawa, T., Kinoshita, Y.: Performance Measurement and Evaluation Framework for e-Government (To Be). e-Government Evaluation Committee’s Report for the 2nd meeting, Division of University Corporate Relations, The University of Tokyo, Government report (July 26, 2007)Google Scholar
  26. 26.
    Bourguignon, F., Silva, P.D., Luiz, A.: Evaluating the Poverty and Distributional Impact of Economic Policies: A Compendium of Existing Techniques. In: Bourguignon, F., Silva, P.D., Luiz, A. (eds.) The Impact of. Economic Policies on Poverty and Income Distribution: Evaluation Techniques and Tools, The World Bank (2003)Google Scholar
  27. 27.
    Bourguignon, F., Spadaro, A.: Microsimulation as a tool for evaluating redistribution policies. Journal of Economic Inequality 4(1), 77–106 (2006)CrossRefGoogle Scholar
  28. 28.
    Boccanfuso, D., Estache, A., Savard, L.: Electricity Reforms in Mali: A Macro–Micro Analysis of the Effects on Poverty and Distribution. Journal of African Economics 16(4), 629–659 (2007)CrossRefGoogle Scholar
  29. 29.
    Essama-Nssah, B.: A Poverty-Focused Evaluation of Commodity Tax Options. World Bank Policy Research Working Paper No. 4245 (2007)Google Scholar
  30. 30.
    Lindgren, B., Klevmarken, A.: Simulating An Ageing Population: A Microsimulation Approach Applied To Sweden. Emerald Group Publishing (2008)Google Scholar
  31. 31.
  32. 32.
    Health Level Seven, Inc.: Health Level Seven (HL7) Meta-Model, http://www.hl7.org/
  33. 33.
    Hayashi, F., Prescott, E.: The 1990s in Japan: A Lost Decade. Review of Economic Dynamics 5(1), 206–235 (2002)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Yumiko Kinoshita
    • 1
  1. 1.Doctorate, Graduate School of Interdisciplinary InformaticsThe University of Tokyo, Research Fellow, Japan Society for the Promotion of ScienceTokyoJapan

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