S-curve Model of Relationship Between Energy Consumption and Economic Development

Verfasser / Beitragende:
[Anjian Wang, Gaoshang Wang, Qishen Chen, Wenjia Yu, Kun Yan, Haibo Yang]
Ort, Verlag, Jahr:
2015
Enthalten in:
Natural Resources Research, 24/1(2015-03-01), 53-64
Format:
Artikel (online)
ID: 605538743
LEADER caa a22 4500
001 605538743
003 CHVBK
005 20210128100903.0
007 cr unu---uuuuu
008 210128e20150301xx s 000 0 eng
024 7 0 |a 10.1007/s11053-014-9234-z  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s11053-014-9234-z 
245 0 0 |a S-curve Model of Relationship Between Energy Consumption and Economic Development  |h [Elektronische Daten]  |c [Anjian Wang, Gaoshang Wang, Qishen Chen, Wenjia Yu, Kun Yan, Haibo Yang] 
520 3 |a It is widely recognized that different economic development stages are associated with distinctive patterns of energy consumption. Forecast of future energy consumption for an expected GDP per capita has been an intriguing subject for many economists, policy makers, and resource scientists worldwide. This article takes a pragmatic approach to the examination of intrinsic relations between energy consumption and economic development using the historical data of past 160years from 18 developed countries and regions. This analysis shows that the relations between energy consumption and GDP can be described by an S-curve model. The patterns of energy consumption in different economic development stages, including agricultural, industrialized, and post-industrialized societies, are characterized by different transitional thresholds, which are here referred to as the takeoff point, turning point, and zero-growth point of the energy consumption per capita. A thorough discussion is given to the implications of these critical points in the curve. Using a mathematical model and the critical thresholds, the S-curve can be divided into four transitional phases: slow growing phase, rapid growing phase, growth declining phase, and stagnant phase. The analysis forms a foundation for forecast of energy demands in different development stages in different countries. 
540 |a International Association for Mathematical Geosciences, 2014 
690 7 |a Energy consumption  |2 nationallicence 
690 7 |a GDP  |2 nationallicence 
690 7 |a S-curve model  |2 nationallicence 
690 7 |a Critical transitional thresholds  |2 nationallicence 
700 1 |a Wang  |D Anjian  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
700 1 |a Wang  |D Gaoshang  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
700 1 |a Chen  |D Qishen  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
700 1 |a Yu  |D Wenjia  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
700 1 |a Yan  |D Kun  |u Xi'an Modern Nonlinear Science Applying Institute, 710061, Xi'an, China  |4 aut 
700 1 |a Yang  |D Haibo  |u Advanced Personnel Training Center of Daqing Oilfield, 163458, Daqing, China  |4 aut 
773 0 |t Natural Resources Research  |d Springer US; http://www.springer-ny.com  |g 24/1(2015-03-01), 53-64  |x 1520-7439  |q 24:1<53  |1 2015  |2 24  |o 11053 
856 4 0 |u https://doi.org/10.1007/s11053-014-9234-z  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11053-014-9234-z  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wang  |D Anjian  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wang  |D Gaoshang  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chen  |D Qishen  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yu  |D Wenjia  |u Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 100037, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yan  |D Kun  |u Xi'an Modern Nonlinear Science Applying Institute, 710061, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yang  |D Haibo  |u Advanced Personnel Training Center of Daqing Oilfield, 163458, Daqing, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Natural Resources Research  |d Springer US; http://www.springer-ny.com  |g 24/1(2015-03-01), 53-64  |x 1520-7439  |q 24:1<53  |1 2015  |2 24  |o 11053