China’s Economic Gene Mutations By Electricity Economics and Multi-agent /

The book focuses on low-carbon issues and China’s economy, which is analyzed from the perspective of electricity economics. It proposes the novel concept of an “economic gene” to reflect certain characteristics of the economy. The gene mapping of China’s economy has been studied based on production...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Hu, Zhaoguang (Συγγραφέας), Zhang, Jian (Συγγραφέας), Zhang, Ning (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03830nam a22005535i 4500
001 978-3-662-47298-9
003 DE-He213
005 20151204154921.0
007 cr nn 008mamaa
008 150730s2015 gw | s |||| 0|eng d
020 |a 9783662472989  |9 978-3-662-47298-9 
024 7 |a 10.1007/978-3-662-47298-9  |2 doi 
040 |d GrThAP 
050 4 |a HD9502-9502.5 
072 7 |a TH  |2 bicssc 
072 7 |a KNB  |2 bicssc 
072 7 |a BUS070040  |2 bisacsh 
082 0 4 |a 333.79  |2 23 
082 0 4 |a 338.926  |2 23 
100 1 |a Hu, Zhaoguang.  |e author. 
245 1 0 |a China’s Economic Gene Mutations  |h [electronic resource] :  |b By Electricity Economics and Multi-agent /  |c by Zhaoguang Hu, Jian Zhang, Ning Zhang. 
250 |a 1st ed. 2015. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2015. 
300 |a XVIII, 491 p. 285 illus., 277 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Part one: Economic Gene Mapping in China by Electricity Economics -- China’s Electricity Economy -- Challenge-Opportunity and Mutations in China’s Economy -- Economic Gene Mapping of China -- Part two: Methodology of Agent Response Equilibrium -- Review of Economic Modeling -- Introduction of Intelligent Engineering -- Agents Response Equilibrium Model -- Individual Agent Functions and Computer Programming -- Part three: China’s Economic Simulations by Agents Response Equilibrium -- China’s Economic Simulation for the Period of Global Crisis -- China’s Economic Simulations in 2011-2014 by Agents Response Equilibrium Model.- China’s Input-output Tables of 2011-2025 Simulated by ARE. 
520 |a The book focuses on low-carbon issues and China’s economy, which is analyzed from the perspective of electricity economics. It proposes the novel concept of an “economic gene” to reflect certain characteristics of the economy. The gene mapping of China’s economy has been studied based on production functions with electricity. Economic mutations have also been studied with the aim of diagnosing problems in the economy.  Two such mutations have occurred in China since 1978, the most recent being in 2012 and no further mutation is expected until 2025. The book describes the inherent quality of China’s economy from 2012 to 2025, and how mechanism reforms would greatly improve marginal representative factor productivity in this period. The agents response equilibrium (ARE) approach to simulate national economy, based on multi-agent technology is proposed. Another cornerstone of the model is the input-output table. Simulated input-output tables from 2011 to 2025 are provided in the book. This book provides recommendations for policy makers and advisors, and is a valuable resource for researchers in the fields of economics, public policies, low-carbon development, electricity and energy. It also provides insights into China’s economic development. 
650 0 |a Energy. 
650 0 |a Energy policy. 
650 0 |a Energy and state. 
650 0 |a Power electronics. 
650 0 |a Energy industries. 
650 0 |a Public administration. 
650 1 4 |a Energy. 
650 2 4 |a Energy Policy, Economics and Management. 
650 2 4 |a Energy Economics. 
650 2 4 |a Power Electronics, Electrical Machines and Networks. 
650 2 4 |a Public Administration. 
700 1 |a Zhang, Jian.  |e author. 
700 1 |a Zhang, Ning.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783662472972 
856 4 0 |u http://dx.doi.org/10.1007/978-3-662-47298-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENE 
950 |a Energy (Springer-40367)