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Boating Against the Current: Cases, Concepts, Models and Development Power

Author

Listed:
  • feng dai

    (Zhengzhou Information Engineering University)

Abstract

Generalizing from many of actual problems, this paper puts forward the game: boating against the current, discusses the related assumptions and analyzes the related characters of it. Further more, the author gives the dispersed and continuous models for boating against the current Based on the Partial Distribution[14]-[17]. It is worth to say that the game of boating against the current is a representative example of Development Power problems [18]-[21]. So we should see that the theories of Development Power is proved to have a wide realistic background, and studying Development Power is important for human to interpret and to analyze the macro-laws and macro-characters of economy and society developing.

Suggested Citation

  • feng dai, 2005. "Boating Against the Current: Cases, Concepts, Models and Development Power," Econometrics 0503003, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0503003
    Note: Type of Document - pdf; pages: 7
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    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Plosser, Charles I, 1989. "Understanding Real Business Cycles," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 51-77, Summer.
    3. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1986. "Fairness and the Assumptions of Economics," The Journal of Business, University of Chicago Press, vol. 59(4), pages 285-300, October.
    4. Feng Dai & Bao- hua Sun & Jie Sun, 2004. "Derivative Process Model of Development Power in Industry: Empirical Research and Forecast for Chinese Software Industry and US Economy," Macroeconomics 0405024, University Library of Munich, Germany.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    7. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    8. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    9. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    10. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    11. Feng Dai, 2004. "The Soft Engine for Economic Growth in a Long-Time:The Economic Development Power, Conversion and Conservation for economic Energy," Macroeconomics 0411009, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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