Efficiency measurement and improvement of housing provident fund in China
by Huafu Jiang
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 12, No. 3, 2017

Abstract: Housing provident fund system plays an active role in promoting social stability and development, which further influences efficiency and sustainability of the society and harmony of people's life. This paper first sets up a multiple appraising system of efficiency and equilibrium of housing provident fund by integrating housing fund collection, housing fund extraction, loans and the statistics of national economy. The operational efficiency model is then set up based on Data Envelopment Analyses (DEA), and the model is optimised using the algorithm of differential evolution (DE) together with the constraint handling techniques, i.e. Deb's feasibility-based rule and multi-objective optimisation. The efficiencies of the whole country and 31 provinces are quantified, and some suggestions are finally obtained. This study quantitatively reveals the differences and imbalances of housing provident fund operation efficiency, and provides technical support for reforming the national housing provident fund development strategy, perfecting the national urban housing finance and security system, and strengthening the system top-level design.

Online publication date: Thu, 29-Jun-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com