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

Feng Dai (), Bao- hua Sun and Jie Sun
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Bao- hua Sun: Zhengzhou Information Engineering University
Jie Sun: Zhengzhou Information Engineering University

Macroeconomics from University Library of Munich, Germany

Abstract: Based on [1], this paper analyzes the transferability and the diffusibility of industrial development power, puts forward the index of management strength, and sets up the derivative process model for industrial development power on the Partial Distribution ([2]-[3]). 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 [6]. 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.

Keywords: development power (DP); partial distribution; derivative process; industry and macroeconomy; empirical research; forecast analysis (search for similar items in EconPapers)
JEL-codes: E (search for similar items in EconPapers)
Pages: 12 pages
Date: 2004-05-27
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