EconPapers    
Economics at your fingertips  
 

The Modeling Measure and Time Series Forecasting for Potential Demand in Chinese Residential Market

Peng-hui Chen () and Jia-li Li
Additional contact information
Peng-hui Chen: South China University of Technology
Jia-li Li: South China University of Technology

Chapter Chapter 23 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 205-213 from Springer

Abstract: Abstract Our study establishes the measure model of potential demand in Chinese residential market based on the social and economic origin of exuberant potential demand. We can calculate the potential demand coefficient in Chinese residential market through the model and then substitute the time series data into the double exponential smoothing model to forecast the evolution trend of the potential demand in Chinese residential market.

Keywords: Forecasting; Measure; Potential demand; Residential market (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38433-2_23

Ordering information: This item can be ordered from
http://www.springer.com/9783642384332

DOI: 10.1007/978-3-642-38433-2_23

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-642-38433-2_23