供应链
经济
贸易便利化
贸易引力模型
面板数据
固定效应模型
双边贸易
国际贸易
业务
贸易壁垒
计量经济学
政治学
营销
中国
法学
作者
Petra Adelajda Zaninović,Katja Zajc Kejžar,Helga Pavlić Skender
标识
DOI:10.1080/00036846.2023.2167918
摘要
The aim of this paper is to assess the role of hard and soft infrastructure in trade, distinguishing between traditional trade and supply-chain trade. Using factor analysis, we construct four aggregate trade facilitation indicators where we measure hard infrastructure as physical and ICT infrastructure, while soft infrastructure accounts for border efficiency and institutional efficiency. For traditional trade, we use bilateral trade data from UN Comtrade. Supply-chain trade is measured in terms of domestic value-added (DVAFX) embodied in foreign gross exports and foreign value-added (FVA) embodied in domestic gross exports obtained from Eora MRIO database. We use panel data regression analysis with an empirical model specification based on a gravity model and covering the 2000–2019 period. We estimate model with the Poisson Pseudo-Maximum Likelihood Estimator (PPML). To control multilateral trade-resistance terms (MRT), we included reporter and partner fixed effects along with country pair fixed effects. The results confirm a statistically significant relationship between hard and soft infrastructure and trade. ICT and border efficiency have the strongest impact on both types of trade. Supply-chain trade responds most intensely to improvements in institutional efficiency. Results imply that ICT infrastructure and border efficiency might hold even greater importance for CEMS’s traditional and supply-chain trade.
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