By Topic

A soft computing method to estimate the effect of production factors on economic growth

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yong He ; China Univ. of Geosciences, Hubei ; Kejun Zhu

This paper utilizes soft computing to estimate the effects of production factors on economic growth. Using GA-ISODATA algorithm to categorize China (which contains 31 regions) according to the level of science and technology (S&T), then sets up the fuzzy mapping relation from production factors (fixed assets, human capital and plowland) to economic output, and the result shows that: during the year 1999 to 2003, the effects of the production factors on economic growth are remarkably different in the regions which have dissimilar levels of S&T, the effects of fixed asset, human capital on economy in developed S&T regions are greater than developing or underdeveloped S&T regions, but the effect of plowland in developed S&T regions is less than developing or underdeveloped S&T regions; the effect of human capital on economic growth is greater than fixed assets for all regions; S&T progress and institutional innovation are playing fundamental roles on economic growth.

Published in:

Evolutionary Computation, 2007. CEC 2007. IEEE Congress on

Date of Conference:

25-28 Sept. 2007