What Drives Global Value Chain Participation?

Saunok Chakrabarty, R. Chanda
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引用次数: 2

Abstract

Cross-border production sharing has intensified in recent decades, leading to the formation and spread of global value chains (GVC). Using a dataset containing more than 150 countries over 1990-2018, our paper tries to identify what drives backward GVC participation and forward GVC participation at the country and aggregate trade levels. We complement this general exercise with a gravity model analysis of the determinants of bilateral foreign value-added in exports. The econometric analyses highlight structural factors such as aggregate income, level of industrialization and distance to economic hubs as highly significant for GVC trade. Foreign direct investment inflows strongly influence GVC participation and are stronger for backward participation. Trade agreements and their depth boost GVC participation, although the expansionary effect of deeper trade agreements on GVC trade decreases over time. We replicate our general analysis for developed and developing countries to account for the differential effects of GVC drivers at different levels of development. We ensure that our gravity estimates are theoretically and analytically consistent by using the Poisson Pseudo Maximum Likelihood estimator and incorporating multilateral resistance.
是什么推动了全球价值链参与?
近几十年来,跨境生产共享得到加强,导致全球价值链(GVC)的形成和扩散。本文使用包含1990-2018年150多个国家的数据集,试图确定在国家和总贸易水平上推动全球价值链参与落后和前进的因素。我们用对双边出口外国增值决定因素的重力模型分析来补充这一一般性练习。计量经济学分析强调,总收入、工业化水平和与经济中心的距离等结构性因素对全球价值链贸易非常重要。外国直接投资流入对全球价值链参与的影响较大,对落后参与的影响更大。贸易协定及其深度促进了全球价值链的参与,尽管深度贸易协定对全球价值链贸易的扩张效应随着时间的推移而减弱。我们对发达国家和发展中国家重复了我们的一般分析,以解释全球价值链驱动因素在不同发展水平上的差异影响。通过使用泊松伪极大似然估计量并结合多边阻力,我们确保我们的重力估计在理论上和分析上是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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