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Estimating inter-regional trade flows in China: A sector-specific statistical model

机译:Estimating inter-regional trade flows in China: a sector-specific statistical model

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摘要

China has huge differences among its regions in terms of socio-economic development, industrial structure, natural resource endowments, and technological advancement. These differences have created complicated linkages between regions in China. In this study, building upon gravity model and location quotient techniques, we develop a sector-specific model to estimate inter-provincial trade flows, which is the base for making a multi-regional input-output table. In the model, we distinguish sectors with less intra-sector input from those with larger intra-sector input, and assume that the former sectors tend to compete among regions while the latter tend to cooperate among regions. Then we apply this new method of inter-regional trade estimation to three sectors: food and tobacco, metal smelting and processing, and electrical equipment. The results show that selection of bandwidth has a significant impact on the assessment of inter-regional trade. Trade flows are more scattered with the increase of bandwidths. As a result, bandwidth reflects the spatial concentration of geographical activities, which should be distinguishable for different industries. We conclude that the sector-specific spatial model can increase the credibility of estimates of inter-regional trade flows.
机译:在社会经济发展,产业结构,自然资源end赋和技术进步方面,中国之间存在巨大差异。这些差异在中国各地区之间造成了复杂的联系。在这项研究中,我们基于引力模型和区位商技术,开发了一个特定于行业的模型来估算省际贸易流量,这是制作多区域投入产出表的基础。在模型中,我们将部门内部投入较少的部门与部门内部投入较大的部门区分开来,并假设前者倾向于在区域之间竞争,而后者倾向于在区域之间合作。然后,我们将这种区域间贸易估算的新方法应用于三个部门:食品和烟草,金属冶炼和加工以及电气设备。结果表明,带宽的选择对区域间贸易的评估有重要影响。随着带宽的增加,贸易流量更加分散。结果,带宽反映了地理活动的空间集中度,这对于不同行业应该是可区分的。我们得出的结论是,特定部门的空间模型可以提高区域间贸易流量估计的可信度。

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