Please wait a minute...
金融研究  2020, Vol. 484 Issue (10): 74-91    
  本期目录 | 过刊浏览 | 高级检索 |
贸易摩擦、宏观经济波动与经济开放程度的选择
肖祖沔, 彭红枫, 向丽锦
山东财经大学金融学院, 山东济南 250002
Trade Friction, Macroeconomic Fluctuations, and the Choice of Economic Openness
XIAO Zumian, PENG Hongfeng, XIANG Lijin
School of Finance, Shandong University of Finance and Economics
下载:  PDF (1794KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 本文构建一个包含关税冲击以及外汇风险溢价的两国开放经济DSGE模型,创新地揭示了关税冲击造成实际汇率波动的“直接效应”与“间接效应”,刻画了关税变动、贸易条件与实际汇率之间的动态关系与作用机制。我们深入分析了不同经济开放程度下贸易摩擦造成的宏观经济波动以及经济福利损失。模拟结果表明,在一定贸易开放程度下,外国加收关税一方面会导致本国贸易条件恶化,引发出口及产出下降;另一方面会导致本国汇率贬值,引发出口及产出增长。关税冲击发生后短期中汇率贬值效应占优,本国产出会出现小幅上升,随后贸易条件恶化效应逐步显现,产出持续下降。福利分析结果表明,本国适度提升贸易开放度,虽然经济福利损失会小幅上升,但福利损失增加幅度小于外国,会在贸易摩擦竞争中形成相对优势;如果本国过度提高贸易开放度,则会导致本国福利损失大幅增加,并且大于外国福利损失增幅,会在贸易摩擦竞争中形成相对劣势。因此,应适度逐步有序地提升贸易开放度。此外,本国适度推进资本账户开放的政策能够改善贸易条件,促进本国经济增长。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
肖祖沔
彭红枫
向丽锦
关键词:  贸易摩擦  经济波动  风险溢价  资本管制  贸易开放度    
Summary:  Trade friction between China and the United States (US) broke out in early 2018. We can foresee that with the gradual improvement of China's international economic status, Sino-US economic and trade relations will continue to be affected by various forms of friction and conflict. Moreover, it is likely that such frictions and conflicts will exist cyclically in the long run, which will eventually have significant and profound impacts on China's macro-economy. Therefore, it is necessary to analyze the following questions in depth: how will trade frictions affect China's macro-economy? To what extent can China open up its economy?
According to international trade theory, a country can impose tariffs to improve its terms of trade and promote net export growth. Therefore, tariff measures are often used as the most direct policy tool when trade frictions occur between two countries. This article introduces tariff shocks, foreign exchange risk premiums, and monetary policy cost channels into a two-country open economy dynamic stochastic general equilibrium model to study the macroeconomic fluctuations caused by trade frictions and analyze relevant policy options for the economic opening of markets. This article decomposes the real exchange rate fluctuations caused by tariff shocks into “direct effects” and “indirect effects” and clarifies the transmission channels and theoretical mechanisms through which tariff shocks affect the terms of trade and the real exchange rate.
First, the log-linearization of the real exchange rate equation shows that an increase in tariffs directly triggers the devaluation of the domestic currency. However, these exchange rate changes cannot fully offset the price distortion caused by tariff shocks. Second, after expressing the terms of trade as an equation of the relative output levels of the two countries, tariffs, and foreign exchange risk premiums, we find that tariff shocks deteriorate the terms of trade, which triggers the appreciation of the domestic currency. Therefore, tariff shocks affect the real exchange rate through direct and indirect channels.
The results of impulse response analysis show that tariff shocks change the terms of trade and the real exchange rate. Under the current status of China's trade openness, foreign tariffs will not only deteriorate the country's terms of trade, leading to a decline in exports and output, but will also depreciate the country's exchange rate, leading to an increase in exports and output. Overall, for the macro-economy, tariff shocks will induce a minor increase in domestic output and a decline in home inflation, as well as a decline in foreign output levels and an increase in foreign inflation.
Moreover, if the domestic government strengthens its control over cross-border capital flows during trade frictions, the terms of trade will deteriorate and cause the real exchange rate to appreciate, which will negatively affect exports and output. A loose monetary policy can directly stimulate output growth and, simultaneously, indirectly increase domestic economic output by depreciating the exchange rate and improving the terms of trade.
The results of economic welfare analysis suggest that the government's choice of trade openness and capital account openness significantly affect macroeconomic fluctuations. First, a moderate increase in domestic trade openness leads to a slight increase in economic welfare losses, while the foreign country faces greater welfare losses; an excessive increase in domestic trade openness leads to a sharp increase in domestic welfare losses, which reach a value greater than the welfare losses incurred by the foreign country. Second, in trade frictions, a moderate relaxation of capital controls improves the terms of trade, which depreciates the real exchange rate and increases output. Finally, an increase in foreign tariffs will trigger the devaluation of the domestic currency. The moderate depreciation of the domestic currency helps hedge against the negative impact of tariffs, increase exports, and boost domestic economic output. In conclusion, in the face of the trade frictions, the domestic government should adhere to the principle of increasing trade openness within an appropriate scope and steadily promote capital account liberalization to avoid substantial economic welfare losses. In addition, implementing a loose monetary policy and relaxing the exchange rate daily trading band can help mitigate the negative impacts of trade frictions.
Keywords:  Trade Friction    Economic Fluctuation    Risk Premium    Capital Control    Trade Openness
JEL分类号:  F13   F41   E60  
基金资助: * 本文感谢国家社会科学基金重大项目“人民币加入SDR、一篮子货币定值与中国宏观经济的均衡研究”(项目编号:16ZDA032)、教育部人文社会科学研究项目“人民币国际化进程中资本账户开放及其风险防范研究”(项目编号:16YJA790040)、“泰山学者”专项工程经费(ts201712059)及山东财经大学优势学科人才团队孵化计划的资助。
作者简介:  肖祖沔,经济学博士,副教授,山东财经大学金融学院,E-mail:xiaozumian@sdufe.edu.cn.向丽锦,经济学博士,副教授,山东财经大学金融学院,E-mail:xianglijin@sdufe.edu.cn.
引用本文:    
肖祖沔, 彭红枫, 向丽锦. 贸易摩擦、宏观经济波动与经济开放程度的选择[J]. 金融研究, 2020, 484(10): 74-91.
XIAO Zumian, PENG Hongfeng, XIANG Lijin. Trade Friction, Macroeconomic Fluctuations, and the Choice of Economic Openness. Journal of Financial Research, 2020, 484(10): 74-91.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2020/V484/I10/74
[1] 胡小文和章上峰,2015,《利率市场化、汇率制度改革与资本账户开放顺序安排——基于NOEM-DSGE模型的模拟》,《国际金融研究》第11期,第14~23页。
[2] 黄鹏、汪建新和孟雪,2018,《经济全球化再平衡与中美贸易摩擦》,《中国工业经济》第10期,第156~174页。
[3] 康立和龚六堂,2014,《金融摩擦、银行净资产与国际经济危机传导——基于多部门DSGE模型分析》,《经济研究》第5期,第147~159页。
[4] 李成、姚洁强和王超,2008,《基于博弈理论对中美汇率政策的解析》,《国际金融研究》第7期,第12~17页。
[5] 李春顶、何传添和林创伟,2018,《中美贸易摩擦应对政策的效果评估》,《中国工业经济》第10期,第137~155页。
[6] 林仁文和杨熠,2014,《中国市场化改革与货币政策有效性演变——基于DSGE的模型分析》,《管理世界》第6期,第39-52+187页。
[7] 陆前进,2017,《贸易条件与经常项目的动态变化关系——基于新开放经济宏观经济学框架的理论和“金砖五国”的实证研究》,《金融研究》第5期,第32~46页。
[8] 马勇,2013,《植入金融因素的DSGE模型与宏观审慎货币政策规则》,《世界经济》第7期,第68~92页。
[9] 倪红福、龚六堂和陈湘杰,2018,《全球价值链中的关税成本效应分析——兼论中美贸易摩擦的价格效应和福利效应》,《数量经济技术经济研究》第8期,第74~90页。
[10] 彭红枫、肖祖沔和祝小全,2018,《汇率市场化与资本账户开放的路径选择》,《世界经济》第8期,第26~50页。
[11] 王彬、马文涛和刘胜会,2014,《人民币汇率均衡与失衡:基于一般均衡框架的视角》,《世界经济》第6期,第27~50页。
[12] 庄子罐、崔小勇和赵晓军,2016:《不确定性、宏观经济波动与中国货币政策规则选择——基于贝叶斯DSGE模型的数量分析》,《管理世界》,第11期,第20-31+187页。
[13] Alessandria, George, and Horag, Choi. 2014. “Establishment Heterogeneity, Exporter Dynamics, and the Effects of Trade Liberalization”, Journal of International Economics, 94(2): 207~223.
[14] Bagwell, Kyle, and Robert W., Staiger. 1999. “An Economic Theory of GATT”, The American Economic Review, 89(1): 215~248.
[15] Bagwell, Kyle, and Robert W., Staiger. 2011. “What Do Trade Negotiators Negotiate About? Empirical Evidence from the World Trade Organization” The American Economic Review, 101(4): 1238~1273.
[16] Broda, Christian. 2004. “Terms of Trade and Exchange Rate Regimes in Developing Countries”, Journal of International Economics, 63(1), 31~58.
[17] Caliendo, Lorenzo, and Fernando, Parro. 2015. “Estimates of the Trade and Welfare Effects of NAFTA”, The Review of Economic Studies, 82(1): 1~44.
[18] Calvo, Guillermo A. 1983. “Staggered Prices in a Utility-Maximizing Framework”, Journal of Monetary Economics, 12(3): 383~398.
[19] Christiano, Lawrence J., Martin, Eichenbaum, and Charles L., Evans. 2005. “Nominal Rigidities and the Dynamic Effects of A Shock to Monetary Policy”, Journal of Political Economy, 113(1): 1~45.
[20] Clarida, Richard, Jordi, Gali, and Mark, Gertler. 2002. “A Simple Framework for International Monetary Policy Analysis”, Journal of Monetary Economics, 49(5): 879~904.
[21] Eaton, Jonathan, and Samuel, Kortum. 2002. “Technology, Geography, and Trade”, Econometrica, 70(5): 1741~1779.
[22] Engel, Charles M. 2011. “Currency Misalignments and Optimal Monetary Policy: A Reexamination”, The American Economic Review, 101(6): 2796~2822.
[23] Fender, John, and Chong K., Yip. 2000. “Tariffs and Exchange Rate Dynamics Redux”, Journal of International Money and Finance, 19(5): 633~655.
[24] Gali, Jordi, and Tommaso, Monacelli. 2005. “Monetary Policy and Exchange Rate Volatility in A Small Open Economy”, The Review of Economic Studies, 72(3): 707~734.
[25] Ganelli, Giovanni, and Juha, Tervala. 2015. “Value of WTO Trade Agreements in A New Keynesian Model”, Journal of Macroeconomics, 45(37): 347~362.
[26] Johnson, Harry G. 1953. “Optimum Tariffs and Retaliation”, Review of Economic Studies, 21(2):142~153.
[27] Kose, Ayhan M. 2002. “Explaining Business Cycles in Small Open Economies: How Much Do World Prices Matter?”, Journal of International Economics, 56(2): 299~327.
[28] Lindé, Jesper, and Andrea Pescatori. 2019. “The Macroeconomic Effects of Trade Tariffs: Revisiting the Lerner Symmetry Result”, Journal of International Money and Finance, 95:52~69.
[29] Mendoza, Enrique G. 1991. “Real Business Cycles in a Small Open Economy”, The American Economic Review, 81(4): 797~818.
[30] Ossa, Ralph. 2011. “A 'New Trade' Theory of GATT/WTO Negotiations”, Journal of Political Economy, 119(1): 122~152.
[31] Ossa, Ralph. 2014. “Trade Wars and Trade Talks with Data”, The American Economic Review, 104(12): 4104~4146.
[32] Ravenna, Federico and Carl E., Walsh. 2006. “Optimal Monetary Policy with the Cost Channel”, Journal of Monetary Economics, 53(2): 199~216.
[33] Schmitt-Grohé, Stephanie and Martín, Uribe. 2018. “How important are terms of trade shocks?”, International Economic Review, 59(1): 85~111.
[34] Smets. Frank and Raf, Wouters. 2003. “An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area”, Journal of the European Economic Association, 1(5): 1123~1175.
[35] Svensson, Lars E.O. 2000. “Open-Economy Inflation Targeting”, Journal of International Economics, 50(1): 155~183.
[36] Woodford, Michael. 2003. “Interest and Prices: Foundations of a Theory of Monetary Policy” Princeton University Press.
[1] 庄子罐, 贾红静, 刘鼎铭. 居民风险偏好与中国货币政策的宏观经济效应——基于DSGE模型的数量分析[J]. 金融研究, 2020, 483(9): 40-58.
[2] 郝大鹏, 王博, 李力. 美联储政策变化、国际资本流动与宏观经济波动[J]. 金融研究, 2020, 481(7): 38-56.
[3] 闫先东, 张鹏辉. 土地价格、土地财政与宏观经济波动[J]. 金融研究, 2019, 471(9): 1-18.
[4] 林滨, 王弟海, 陈诗一. 企业效率异质性、金融摩擦的资源再分配机制与经济波动[J]. 金融研究, 2018, 458(8): 17-32.
[5] 朱莹, 王健. 市场约束能够降低地方债风险溢价吗?——来自城投债市场的证据[J]. 金融研究, 2018, 456(6): 56-72.
[6] 王倩, 赵铮. 同业融资视角下的商业银行杠杆顺周期性[J]. 金融研究, 2018, 460(10): 89-105.
[7] 邵全权, 王博, 柏龙飞. 风险冲击、保险保障与中国宏观经济波动[J]. 金融研究, 2017, 444(6): 1-16.
[8] 高然, 龚六堂. 土地财政、房地产需求冲击与经济波动[J]. 金融研究, 2017, 442(4): 32-45.
[9] 马勇, 张靖岚, 陈雨露. 金融周期与货币政策[J]. 金融研究, 2017, 441(3): 33-53.
[10] 张翔, 刘璐, 李伦一. 国际大宗商品市场金融化与中国宏观经济波动[J]. 金融研究, 2017, 439(1): 35-51.
[11] 钟腾, 汤珂. 中国商品期货投资属性研究[J]. 金融研究, 2016, 430(4): 128-143.
[12] 游 宇, 黄宗晔. 资本管制对融资结构和经济增长的影响[J]. 金融研究, 2016, 436(10): 32-47.
[1] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[2] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[3] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[4] 潘越, 肖金利, 戴亦一. 文化多样性与企业创新:基于方言视角的研究[J]. 金融研究, 2017, 448(10): 146 -161 .
[5] 李青原, 黄威, 王红建. 最终控制人投资组合集中度、股票投资回报与对冲策略[J]. 金融研究, 2017, 446(8): 145 -160 .
[6] 孟庆斌, 荣晨. 中国房地产价格泡沫研究——基于马氏域变模型的实证分析[J]. 金融研究, 2017, 440(2): 101 -116 .
[7] 龙海明, 王志鹏. 征信系统、法律权利保护与银行信贷[J]. 金融研究, 2017, 440(2): 117 -130 .
[8] 李锋森. 我国融资融券助涨助跌了吗?——基于波动非对称性视角[J]. 金融研究, 2017, 440(2): 147 -162 .
[9] 高昊宇, 杨晓光, 叶彦艺. 机构投资者对暴涨暴跌的抑制作用:基于中国市场的实证[J]. 金融研究, 2017, 440(2): 163 -178 .
[10] 黄小琳, 朱松, 陈关亭. 劳动投资效率、企业性质与资产收益率[J]. 金融研究, 2017, 441(3): 130 -144 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1