Derivative Process Model of Development Power in Industry: Empirical Research and Forecast for Chinese Software Industry and US Economy
AbstractBased on concept and theory of Development Power , 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 -. 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 . 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by EconWPA in its series Macroeconomics with number 0405025.
Length: 12 pages
Date of creation: 27 May 2004
Date of revision: 07 Jun 2004
Note: Type of Document - pdf; pages: 12. You never regret after reading this paper
Contact details of provider:
Web page: http://18.104.22.168
development power (DP); partial distribution; derivative process; industry and macroeconomy; empirical research; forecast analysis;
Other versions of this item:
- 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, EconWPA.
- E - Macroeconomics and Monetary Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-06-02 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Feng Dai, 2004.
"Development Power and Derivative Process-A Model and Theory for Macroeconomy Analysis,"
- feng dai & Jianqiang Liu, 2004. "Development Power and Derivative Process: A Mode and Theory for Macroeconomy Analysis," Macroeconomics 0403015, EconWPA.
- Feng, Dai, 2006. "Developower: The Potential Motivity in Economic Process," MPRA Paper 115, University Library of Munich, Germany, revised 05 Oct 2006.
- 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, EconWPA.
- Feng Dai & Hui Liu & Zifu Qin, 2005. "The Logarithm Model of Development Power: A Tool to Analyze the Motivity of Economic Growth," Macroeconomics 0505022, EconWPA.
- feng dai, 2005. "Boating Against the Current: Cases, Concepts, Models and Development Power," Econometrics 0503003, EconWPA.
- feng dai, 2005. "The Golden Growth Law in Economic Process," Development and Comp Systems 0511014, EconWPA.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA).
If references are entirely missing, you can add them using this form.