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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.3390/su10082874 |
The Prism of Elasticity in Rebound Effect Modelling: An Insight from the Freight Transport Sector. | |
Ruzzenenti F | |
发表日期 | 2018 |
出处 | Sustainability 10 (8): p. 2874 |
出版年 | 2018 |
语种 | 英语 |
摘要 | If the rebound effect is to be considered a major obstacle to sustainable freight transport, then action and timely policy must be made in advance. This, however, requires a theoretical understanding of the nature of the rebound effect and an empirical grasp of its underlying mechanism. Elasticity is the centrepiece of current models on the rebound effect (or Jevons paradox). Although elasticity is a metric of indisputable usefulness for empirical purposes, it may be misleading when applied to the complex rebound effect. Drawing on the parallel case of the ‘distance puzzle’ in international economics, it will be shown how elasticity can be misinterpreted or how it can misdirect an investigation of the phenomenon by following a predetermined mindset. This particular bias is shown to widen in the long term and evolving systems in which the elasticity metric continues to output a constant number, eliciting a persistent effect. Drawing on previous research, an alternative approach to studying the rebound effect based on complex network theory and statistical mechanics of networks will be described. It will be shown how the interplay between spatial and non-spatial effects in freight transport networks can inform us about the evolution of the effect of distances on trade relationships, upon which a new metric for the rebound effect can be built. |
主题 | Advanced Systems Analysis (ASA) |
关键词 | freight transport rebound effect Jevons paradox gravity models distance puzzle network theory statistical mechanics of networks complexity |
URL | http://pure.iiasa.ac.at/id/eprint/15424/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131397 |
推荐引用方式 GB/T 7714 | Ruzzenenti F. The Prism of Elasticity in Rebound Effect Modelling: An Insight from the Freight Transport Sector.. 2018. |
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