Analysis and Predictions of Shanghai´s Economic Growth and Energy Consumption Based on Small Sample Theory

Author

Chen, Jibo ; Wang, Guizhi ; Lu, Ling

Author_Institution

Coll. of Math. & Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China

Volume

2

fYear

2009

fDate

19-21 May 2009

Firstpage

244

Lastpage

248

Abstract

This paper introduces two models. One is a new model on causality detection which is established to adapt characteristics of small samples and used to analyze the relationship between economic growth and energy consumption in Shanghai during the State 9th and 10th Five Years Plan. The other is optimal prediction model which is used to forecast the economic status and energy consumption situation during the State 11th Five Years Plan. More ideal achievements are obtained through the analysis of both two models.

Keywords

economic forecasting; macroeconomics; sampling methods; Shanghai economic growth prediction; causality detection; economic status forecast; energy consumption; small sample theory; state 9th five years plan; Economic forecasting; Energy consumption; Fuel economy; Load forecasting; Macroeconomics; Mathematical model; Power generation economics; Predictive models; Testing; Yttrium; non-stationary; optimal prediction; small samples; time series;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, 2009. WCSE '09. WRI World Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3570-8

Type

conf

DOI

10.1109/WCSE.2009.254

Filename

5319671