Present Situation Analysis and Development Trend Forecast of China’s Construction Industry

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Abstract:

2011 is at the beginning of the twelfth five-year plan (the twelfth five-year plan of national economy and society development in the People’s Republic of China), so it is necessary to review the situation of China’s construction industry and make its development trend forecast, which will be useful to guide China’s construction industry and the macro-economic control. According to the scale of fixed assets investment and the result of difference method, there is a proper evaluation of current China’s construction industry. The 4 billion investment plan had a huge impact on the China’s construction industry in the period of the eleventh five-year plan.This paper is to forecast the output and the added value of China’s construction industry in the period of the twelfth five-year plan by the use of time series analysis, based on the data from 2001 to 2010. The results show that China’s construction industry will get a rapid growth yet in the period of the twelfth five-year plan.

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4053-4058

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bulletin of Statistics for national economy and society development in (2010).

Google Scholar

[2] Information on 2011 Beijing Summit of China's construction industry.

Google Scholar

[3] Bulletin of China statistics for national economy and society development in (2009).

Google Scholar

[4] The yearbook of China statistics.

Google Scholar

[5] Yanqi He, Regression Model of Fiscal Revenue Based on the Difference Method, In Chinese, Journal of Yibin University, vol. 10(2010), pp.34-36.

Google Scholar

[6] Gongshuang Tang, Application of Time Series Analysis in Economic Forecasting Application in Economic Forecasting of Time Series Analysis, In Chinese, Statistics and Information Tribune, no. 6, (2005), pp.91-94.

Google Scholar