Estimating inter-regional trade flows in China: A sector-specific statistical model
文献类型:SCI/SSCI论文
作者 | Liu W. D.; Li, X.; Liu, H. G.; Tang, Z. P.; Guan, D. B. |
发表日期 | 2015 |
关键词 | multi-regional input-output analysis trade flows sector-specific statistical model China regional consumption activities global environmental-impact greenhouse-gas emissions input-output-analysis co2 emissions responsibility embodiment balance canada |
英文摘要 | 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. |
出处 | Journal of Geographical Sciences |
卷 | 25 |
期 | 10 |
页 | 1247-1263 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1009-637X |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/38746] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Liu W. D.,Li, X.,Liu, H. G.,et al. Estimating inter-regional trade flows in China: A sector-specific statistical model. 2015. |
入库方式: OAI收割
来源:地理科学与资源研究所
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