Entropy 2013, 15(1), 10-31; doi:10.3390/e15010010
Article

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

1 School of Mechatronics Engineering, University of Electronic Science and Technology of China,Chengdu, 611731, China 2 School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow,G4 0BA, UK 3 GREQAM, School of Economics, Aix-Marseille University, Marseille, 13236, France 4 Department of Economics, Adam Smith Business School, University of Glasgow, Glasgow,G12 8RT, UK 5 Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong,ShaTin, New Territories, Hong Kong 6 Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark 7 Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences,Chongqing 401120, China
* Author to whom correspondence should be addressed.
Received: 7 November 2012; in revised form: 4 December 2012 / Accepted: 7 December 2012 / Published: 20 December 2012
(This article belongs to the Special Issue Entropy and Urban Sprawl)
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Abstract: 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 the CO2 emission 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.
Keywords: spatial analysis; functional region; dynamic behaviours; social behaviours; carbon dioxide emission; public data; gross domestic product; swarm algorithm; artificial fish

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MDPI and ACS Style

Chen, Y.; Zhang, G.; Li, Y.; Ding, Y.; Zheng, B.; Miao, Q. Quantitative Analysis of Dynamic Behaviours of Rural Areas at Provincial Level Using Public Data of Gross Domestic Product. Entropy 2013, 15, 10-31.

AMA Style

Chen Y, Zhang G, Li Y, Ding Y, Zheng B, Miao Q. Quantitative Analysis of Dynamic Behaviours of Rural Areas at Provincial Level Using Public Data of Gross Domestic Product. Entropy. 2013; 15(1):10-31.

Chicago/Turabian Style

Chen, Yi; Zhang, Guangfeng; Li, Yiyang; Ding, Yi; Zheng, Bin; Miao, Qiang. 2013. "Quantitative Analysis of Dynamic Behaviours of Rural Areas at Provincial Level Using Public Data of Gross Domestic Product." Entropy 15, no. 1: 10-31.

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