Improved GM (1, 1) Model in the Economic Growth Forecast of Qinghai

Article Preview

Abstract:

GDP and industrial investment funds-added are two major factors of measuring economic development for certain countries or regions. In this paper, we use gross domestic product and industrial investment funds as original data from Qinghai Province (2005-2009), and design an improved GM (1, 1) model which is based on the traditional Gray System to analyze and forecast the overall economic growth of Qinghai Province. The improved GM (1, 1) model not only maintains the advantages of simple calculation method, but also greatly improves the traditional GM (1, 1) model to make prediction more accuracy. The experimental results show that this method using improved GM (1, 1) model is high prediction accuracy in forecasting economic growth of Qinghai province. This method is very practical, and it can provide reliable scientific basis for local government to make right directions behind economic growth and industrial development in that region.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1471-1475

Citation:

Online since:

June 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Pan Tong: The Metal Mineral Rule Prediction of Qinghai (Geological Publications, Beijing 2006).

Google Scholar

[2] Liu Sifeng, Dang Yaoguo: Gray System Theory and Application (Tech. Publications, Beijing 2004).

Google Scholar

[3] Deng Julong: Gray System Study Tutorial(Huazhong Technology University Publications, Wuhan 1990).

Google Scholar

[4] Zhang Yun: submitted to Journal of Chongqing Institute of Technology (2002).

Google Scholar

[5] He zhuan: submitted to Journal of Northern Water(2006).

Google Scholar