Tele-connection of global agricultural land network: Incorporating complex network approach with multi-regional input-output analysis
Tele-connection of global agricultural land network: Incorporating complex network approach with multi-regional input-output analysis
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DOI：
10.1016/j.landusepol.2022.106464
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发表时间：
2023-02
期刊：
影响因子：
7.1
通讯作者：
Meng-Tse Cheng;Jialu Wu;Chaohui Li;Yuanxin Jia;Xiaohua Xia
中科院分区：
文献类型：
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作者：
Meng-Tse Cheng;Jialu Wu;Chaohui Li;Yuanxin Jia;Xiaohua Xia
随着全球化的发展，全球农业用地的地理分布不平衡现象有所缓解，并通过全球供应网络加速了土地再分配。反过来，区域间贸易将对土地资源的控制扩展到地方边界之外。然而，从复杂网络的角度来看，国际贸易中体现的农地流动模式的具体结构特征尚不清楚。本文将多区域投入产出模型与复杂网络理论相结合，从多个维度揭示了全球具体化陆地流网络的结构特征。在全球范围内，GELFN表现出小世界性质，表明具体的土地转让在高水平上将各经济体相互联系起来。从区域上看，GELFN具有7个集团的基本共同体结构，同一区域经济合作组织（如NAFTA、EU、AU）的经济体更容易聚集在同一共同体中，这说明GELFN体现了多极化和区域内聚集的特征。在全国范围内，通过引入资源禀赋和基于网络的测量，我们将七组关键经济体（“连接集群”）分类，以确定不同的土地利用模式。此外，GELFN的核心-外围结构证实，少数经济体充当与大量土地转让有关的枢纽。研究结果强调了在全球农业用地管理方面开展多区域合作以及在主要经济体和部门制定目标明确的政策的重要性。
The geographical distribution imbalance of global agricultural land has been reduced as a result of increasing globalization, which accelerates land redistribution through global supply networks. In turn, interregional trade extends the control of land resources beyond of local borders. However, the specific structural features of agricultural land flow patterns embodied in international trade remain unclear from the perspective of a complex network. In this paper, we integrate multi-regional input-output model and complex network theory to reveal the structural characteristics of the global embodied land flow network (GELFN) in multiple dimensions. Globally, GELFN exhibits small-world nature, indicating that embodied land transfer interconnects economies at a high level. Regionally, GELFN has a basic community structure of seven groups, and economies in the same regional economic cooperation organizations, such as NAFTA, EU and AU, are more likely to cluster in the same community, implying that GELFN embodies the characteristics of multi-polarization and intra-region aggregation. Nationally, by introducing resource endowments and network-based measurements, we classify seven groups of key economies (‘connection clusters’) to identify different land use patterns. Moreover, the core-periphery structure of GELFN confirms that a few economies act as hubs associated with a large amount of land transfer. The results emphasize the importance of multi-regional cooperation on global agricultural land management and well-targeted policies in key economies and sectors.