Quantitative Analysis of Dynamic Behaviours of Rural Areas at Provincial Level Using Public Data of Gross Domestic Product

Entropy

Yi Chen¹  Guangfeng Zhang⁵  Yiyang Li²  Yi Ding³  Bin Zheng⁴ 

[1] School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China; E-Mails:;Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, ShaTin, New Territories, Hong Kong; E-Mail:;Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; E-Mail:;Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 401120, China;GREQAM, School of Economics, Aix-Marseille University, Marseille, 13236, France; E-Mail:

关键词: spatial analysis;    functional region;    dynamic behaviours;    social behaviours;    carbon dioxide emission;    public data;    gross domestic product;    swarm algorithm;    artificial fish;   

DOI  :  10.3390/e15010010

来源: mdpi

【 摘 要 】

A spatial approach that incorporates three economic components and one environmental factor has been developed to evaluate the dynamic behaviours of the rural areas at a provincial level. An artificial fish swarm algorithm with variable population size (AFSAVP) is proposed for the spatial problem. A functional region affecting index (Θ) is employed as a fitness function for the AFSAVP driven optimisation, in which a gross domestic product (GDP) based method is utilised to estimate theemission of all provinces. A simulation for the administrative provinces of China has been implemented, and the results have shown that the modelling method based on GDP data can assess the spatial dynamic behaviours and can be taken as an operational tool for the policy planners.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.