The Golden Growth Law in Economic Process
Based on the partial distribution1 and the developower (development power) 2, this paper puts forward the golden growth law in economic process for the first time. The law describes the optimal relation between the economic investment and the economic growth, and could be taken as a basis to distinguish that the economic process is higher in developing efficiency or not. A series of important constants in economy are obtained on the golden growth law, like the coefficient of golden growth and the increment contribution of developower in economic growth. These coefficients can reflect some of key number relations among the economic growth. Also in this paper, the programming and managing models for economic growth are given on the economic structure. We can use them as the tools to analyze and control the macroeconomic growth in analytic way. Finally, by the empirical researches, the golden growth law is explained to be existent and effective, the programming model for economic structure are proved to be useful to make decision in macroeconomic management.
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.:
- Paul Romer, 1989.
"Endogenous Technological Change,"
NBER Working Papers
3210, National Bureau of Economic Research, Inc.
- Patrick GUILLAUMONT & Lisa CHAUVET, 1999.
"Aid and Performance: A Reassessment,"
- Paul Collier & David Dollar, 2004. "Development effectiveness: what have we learnt?," Economic Journal, Royal Economic Society, vol. 114(496), pages F244-F271, 06.
- Horrace, William C., 2005. "Some results on the multivariate truncated normal distribution," Journal of Multivariate Analysis, Elsevier, vol. 94(1), pages 209-221, May.
- Plosser, C.I., 1989.
"Understanding Real Business Cycles,"
RCER Working Papers
198, University of Rochester - Center for Economic Research (RCER).
- 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,"
0405025, EconWPA, revised 07 Jun 2004.
- 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.
- 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.
- Romer, Paul M, 1986.
"Increasing Returns and Long-run Growth,"
Journal of Political Economy,
University of Chicago Press, vol. 94(5), pages 1002-37, October.
- Kydland, Finn E & Prescott, Edward C, 1982.
"Time to Build and Aggregate Fluctuations,"
Econometric Society, vol. 50(6), pages 1345-70, November.
- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpdc:0511014. See general information about how to correct material in RePEc.
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.