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Derivative Process Model of Development Power in Industry: Empirical Research and Forecast for Chinese Software Industry and US Economy

Listed author(s):
  • Feng Dai

    (Zhengzhou Information Engineering University)

  • Bao- hua Sun

    (Zhengzhou Information Engineering University)

  • Jie Sun

    (Zhengzhou Information Engineering University)

Registered author(s):

Based on concept and theory of Development Power [1], this paper analyzes the transferability and the diffusibility of industrial development power, points out that the chaos is the extreme of DP releasing and order is the highest degree of DP accumulating, puts forward A-C strength, the index of adjusting and controlling strength, and sets up the derivative process model for industrial development power on the Partial Distribution [2]-[4]. By the derivative process model, a kind of time series model, we can describe the process of industrial development effectively, and can forecast the future direction of industry or economy on using with [7]. Finally, by making use of the actual data of Chinese software industry and data of USA GDP (chained) price index, we give the examples of empirical analysis, and forecast the future of Chinese software industry and USA economic development. The conclusions in this paper are believed to be valuable and significant to guide the establishment of the industrial policy and to control the industrial development.

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Paper provided by EconWPA in its series Macroeconomics with number 0405025.

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Length: 12 pages
Date of creation: 27 May 2004
Date of revision: 08 Jun 2004
Handle: RePEc:wpa:wuwpma:0405025
Note: Type of Document - pdf; pages: 12. You never regret after reading this paper
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  1. feng dai & Jianqiang Liu, 2004. "Development Power and Derivative Process: A Mode and Theory for Macroeconomy Analysis," Macroeconomics 0403015, EconWPA.
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