Open AccessTalent demand and urban development in City A
Author(s) -
Ouya Hao,
Ningzhou Li,
Yidu Lian
Publication year - 2020
Publication title -
macro management and public policies
Language(s) - English
Resource type - Journals
ISSN - 2661-3360
DOI - 10.30564/mmpp.v2i2.1664
Subject(s) - beijing , analytic hierarchy process , order (exchange) , regional science , business , process (computing) , hierarchy , key (lock) , geography , economic growth , china , computer science , political science , engineering , operations research , economics , finance , computer security , archaeology , law , operating system
The introduction of talent programs is one of the key programs in many cities in recent years. In order to “encourage and enrich the people and innovate the city”, cities such as Beijing, Shanghai, Wuhan, Chengdu, Xi’an and Shenzhen are using various attractive policies to compete for talents. Based on this, this paper uses BP neural network and analytic hierarchy process to model and analyze the talent demand of A-City and the development of the city.