Trade liberalization and wage inequality: Evidence from Korea

This paper investigates the heterogeneous income distribution effects of trade liberalization using Korean survey data from years of 2000–2015. Following the Stolper-Samuelson theorem most of previous research studying the effects of trade liberalization on wage differences focus on workers’ characteristics (e.g., skilled or unskilled) while heterogeneity within the same worker group has not been yet substantially investigated. To fill this gap, this paper provides empirical evidence of wage inequality across firms within the same group of workers caused by trade liberalization, potentially implied in the new-new trade models with firm heterogeneity. Employing a difference-in-differences (DID) specification, we find that the wages of unskilled workers in Korea have increased since its FTAs with more advanced countries, such as members of EU and the US, came into effect, while the effects on the wages of skilled workers are negative but not statistically significant. We also show that wage effects are heterogeneous across firms within unskilled and skilled worker groups, while the positive effects are statistically significant and largest for unskilled workers in medium-large sized firms. These findings are in line with both traditional and new-new trade models.     

Dynamic response of bank-intermediated trade finance to a global liquidity shock

This paper investigates the bank-level responses of a bank-intermediated instrument of trade finance to a negative global liquidity shock in Korea. Using a factor-augmented vector autoregression approach, the results show that there exists significant heterogeneity in bank-level trade-finance responses to a global liquidity shock. In addition, we find that the source of the heterogeneity is the bank-level foreign currency liquidity condition; banks with a better foreign currency liquidity condition may dampen the negative impact of a global liquidity shock on trade-finance.     

资源依赖、制度安排与区域创新能力 —基于空间杜宾模型

区域创新能力提升是我国加快建设创新型国家、实现高质量发展的现实需求。 本文通过构建涵盖资源依赖、制度安排与区域创新能力的理论模型分析其内在关系并提出假 说，运用2000-2016年全国30个省（区、市）的面板数据与空间杜宾模型，检验三者之间的影 响及空间溢出效应。研究结果表明：（1）资源依赖程度越高，越不利于本地区创新能力提升；（2）有效率的制度安排对区域创新能力有正向促进作用；（3）从空间溢出效应来看，本地区 资源依赖程度越高，越抑制周边地区区域创新能力提升，有效的制度安排能助推周边地区创新能力提高。     

加征关税如何影响美国贸易逆差及全球福利——基于美元本位下两国动态一般均衡框架的分析

本文构建了一个包含美元本位特征的两国模型,在此基础上分析了美国加征关税及引发的贸易摩擦对美国贸易逆差和全球福利的影响,并详细探讨了相关传导机制。在基准模型设定下,美国单方面加征20%关税会使得美国贸易逆差占GDP比重小幅缩小约0.40个百分点,美国长期稳态GDP下降约2.50%,其他国家GDP下降约1.10%,美国居民福利上升约0.60%,其他国家居民福利下降约1.20%。美国单方面加征关税在抑制全球贸易和生产的同时,会通过更加不公平的国际贸易恶化全球福利分配。当其他国家采取报复性措施时,其他国家自身福利并不会进一步恶化,但美国福利会大幅下滑,同时美国贸易逆差相对规模变化不大。贸易摩擦博弈的“囚徒困境”特征在一定程度上能够解释贸易战的发生。削弱美元本位地位能促进国际贸易公平性的提升,进而能减弱贸易摩擦带来的负面影响、提升全球福利水平,并能有效缩窄美国贸易逆差。     

Foreign inflows and economic growth: An emiprical study of the SAARC region

The study examines and highlights the impact of selected foreign inflows (aid, trade, FDI, debt and remittances) on the economic growth of the South Asian Association for Regional Cooperation (SAARC) countries. The existent literature lacks a comprehensive analysis of the SAARC countries as countries like Afghanistan, Bhutan and the Maldives have largely been ignored due to the shorter time periods of available data. The study is empirical in nature and utilizes panel data techniques on macroeconomic data for the period 2008–2015. Foreign aid and foreign direct investment are found to impact economic growth positively. Foreign debt and trade flows are found to adversely affect economic growth. No relationship is established between the flow of remittances and the economic growth of these countries. The obtained results are robust to different proxy variables and the addition of macroeconomic variables. For the first time, the study provides policy implications based on the data of all SAARC countries. The study recommends focusing on increasing the inflows of resources in the form of aid and foreign direct investment (FDI) from the developed world to achieve higher economic growth.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

Ownership discrimination and private firms financing in China

This study examines the financing/funding of private firms in China. Our results show that private firms are significantly less funded through formal financing channels such as bank loans than state-owned firms, and hence have to resort to alternative financing such as trade credit. Consistent with the theoretical expectation and literature, there is a substitution effect between trade credit and bank loans for private firms, but this effect is much weaker compared to that of state-owned firms. Moreover, while the univariate comparisons indicate that private firms obtain more notes payable than state-owned firms, the multivariate regression analyses show that the relation between bank loan and notes payable is positive and indifferent between private and state-owned firms.     

Why will Trump lose the trade war?

ABSTRACT

The escalating U.S.–China trade conflicts have increasingly shadowed the outlook of the world economy. The Trump administration aims to achieve its strategic goals including reducing current account deficits, promoting the U.S. manufacturing sector, and curbing Chinese high-tech industries by waging the trade war against China. This paper argues that the current account deficits and the declining manufacturing sector in the U.S. are mainly driven by its internal structural factors, such as low saving rates, high labor costs, and rising service sector, rather than by the import competition from China. Moreover, the trade war further deteriorates the U.S. current account deficits and erode its comparative advantage, and it forces China to invest more in technological innovation and human capital, and thus promote its progress in high-tech industries. Thus, the U.S. will not be able to achieve its strategical goals and eventually lose the trade war.     

《国际贸易实务》教学之"七用"谈

我国加入WTO后，对高校的国际贸易实务教学提出了更高要求，文章以七个方面总结了教学工作中的若干经验。     

A Note on adding-up restrictions when modelling trade flows

An ad hoc rule is often required when modelling trade in multi-country models to ensure that aggregate imports equal aggregate exports in volumes and values. This paper offers an approach that offers some advantages over current methods.