Uncovering the spatially distant feedback loops of global trade: A network and input-output approach.
Uncovering the spatially distant feedback loops of global trade: A network and input-output approach.
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DOI：
10.1016/j.scitotenv.2016.11.202
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发表时间：
2017-05
期刊：
影响因子：
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通讯作者：
C. Prell;Laixiang Sun;K. Feng;Jiaying He;K. Hubacek
中科院分区：
文献类型：
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作者：
C. Prell;Laixiang Sun;K. Feng;Jiaying He;K. Hubacek
土地利用变化越来越多地受到全球贸易的推动。“远程耦合”一词越来越流行，用来描述人类在世界某一地区的行动如何对另一地区的土地和土地利用产生空间上遥远的影响。随着时间的推移，这些相互作用可以产生直接的和空间上遥远的反馈环路，其中人类活动和土地利用在很大范围内相互影响。在本文中，我们开发了一个分析框架，以澄清土地利用和全球贸易情况下的空间距离反馈。我们使用多区域投入产出(MRIO)分析和面向随机行为者模型(SAOM)的创新组合来分析贸易网络模式变化与土地利用模式变化的共同演变，这体现在贸易中。我们的结果表明，贸易联系的形成和具体土地利用的变化相互影响，而且这些变化与国家财富的差距有关。通过确定这一反馈循环，我们的结果支持了正在进行的关于富国和穷国之间不平等贸易模式的讨论，这些不平等贸易模式导致了负面环境影响的不均衡分布。最后，即使在控制一些基本机制的情况下，也存在这种反馈循环的证据，例如各国的土地禀赋、它们彼此之间的地理距离以及一些内生的网络倾向。
Land-use change is increasingly driven by global trade. The term “telecoupling” has been gaining ground as a means to describe how human actions in one part of the world can have spatially distant impacts on land and land-use in another. These interactions can, over time, create both direct and spatially distant feedback loops, in which human activity and land use mutually impact one another over great expanses. In this paper, we develop an analytical framework to clarify spatially distant feedbacks in the case of land use and global trade. We use an innovative mix of multi-regional input-output (MRIO) analysis and stochastic actor-oriented models (SAOMs) for analyzing the co-evolution of changes in trade network patterns with those of land use, as embodied in trade. Our results indicate that the formation of trade ties and changes in embodied land use mutually impact one another, and further, that these changes are linked to disparities in countries' wealth. Through identifying this feedback loop, our results support ongoing discussions about the unequal trade patterns between rich and poor countries that result in uneven distributions of negative environmental impacts. Finally, evidence for this feedback loop is present even when controlling for a number of underlying mechanisms, such as countries' land endowments, their geographical distance from one another, and a number of endogenous network tendencies.