Economic Complexity Transfer through Trade and its Impact on the Solow Residual (Total Factor of Productivity): A Spatial Approach

Fadi Fawaz, Anis Mnif, Yaseen S. Alhaj - Yaseen
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Abstract

Previous literature suggests that trade contributes to knowledge and technology spillovers among trading partners. Using panel data and country-specific fixed effects, we show that the technology spillovers of a country is explained by the Economic Complexity from its major trading partners. We build an endogenous growth model for all OECD countries for the 1966–2016 period; we draw the residuals to measure the Total Factor Productivity of each country. Then, using spatial econometrics, we regress the Total Factor Productivity of each country on the Economic Complexity Index of its major trading partners. In addition, we run a Random Coefficient Model, to let this relationship vary randomly by country. We show that for 30 of the 36 countries, the TFP of a country positively depends on the ECI of its trading partners Finally, we run the endogenous growth model again, but now it includes the spatial lag term as an explanatory variable.
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通过贸易进行的经济复杂性转移及其对索洛残差(全要素生产率)的影响:空间方法
以往的文献表明,贸易有助于贸易伙伴之间的知识和技术外溢。利用面板数据和特定国家的固定效应,我们表明,一个国家的技术外溢可以用其主要贸易伙伴的经济复杂性来解释。我们为所有经合组织国家建立了 1966-2016 年期间的内生增长模型;我们利用残差来衡量每个国家的全要素生产率。然后,利用空间计量经济学,我们将每个国家的全要素生产率与其主要贸易伙伴的经济复杂度指数进行回归。此外,我们还运行了随机系数模型,让这种关系因国家而随机变化。我们发现,在 36 个国家中,有 30 个国家的全要素生产率与其贸易伙伴的经济复杂性指数呈正相关。
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