王清然,徐珺,史燕平

• 1:中国政法大学外国语学院
• 2:对外经济贸易大学国际经济贸易学院

摘要(Abstract)：

本文基于手动搜集的2004—2017年全球前100大语言服务企业数据，实证检验了国际贸易对语言服务企业绩效的影响。面板回归分析表明，国际贸易的增长显著提升了语言服务企业的经营绩效，并且相对于进口和货物贸易，出口和服务贸易对语言服务企业经营绩效的促进作用更大。这一促进作用与语言距离正相关，即一国与其贸易伙伴的平均语言距离越远，国际贸易对语言服务企业的促进作用越强。基准结果在不同维度的稳健性分析中保持稳健，并且不受内生性问题的影响。本文的研究表明，国际贸易不但影响贸易企业，而且对非贸易企业具有溢出效应。

关键词(KeyWords)： 国际贸易;语言服务;语言距离;溢出效应

Abstract:

Keywords:

基金项目(Foundation): 2021年北京市社会科学基金规划项目“跨文化传播与中国话语的全球建构研究”（项目编号：21YYB005）;; 中国政法大学青年教师科研启动项目“国际贸易、神经机器翻译与语言服务企业绩效”（项目编号：10821654）

作者(Author): 王清然,徐珺,史燕平

DOI: 10.16513/j.cnki.cje.20220402.003

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• ① 国外的研究包括de Loecker(2007,2013)、Park et al.(2010)、Atkin et al.(2017)、Garcia-Marin and Voigtl?nder(2019)等，国内的研究包括张杰等(2009)、余淼杰(2010)、王华等(2011)、戴觅和余淼杰(2012)、钱学锋等(2011)、邱斌等(2012)、胡翠等(2015)、徐欣和夏芸(2021)等。
• (1)沿线65个国家中有53种官方语言(王辉和王亚蓝,2016)。
• (2)有关这一领域的更多英文文献,可参看Wagner (2007,2012)及Harrison and Rodriguez-Clare (2010)的综述文章。
• (3)有关语言距离与国际贸易的外国研究包括Hutchinson(2002,2005)、Melitz(2008)、Lohmann(2011)、Oh et al.(2011)、Hejazi and Ma(2011)、Isphording and Sebastian(2013)、Selmier and Oh(2013)、Egger and Lassmann(2015)、Egger and Toubal(2018)。国内的研究包括彭卉和蒋涌(2012)、苏剑和葛加国(2013,2018)、谢孟军和郭艳茹(2013)、苏剑(2015)、徐珺和自正权(2016,2020)、张卫国和孙涛(2016,2018)、王立非和金钰珏(2018)、王晓宇和杨言洪(2019)。
• (4)年度t发表的报告给出的是t-1年度的数据。
• (5)常用的经营绩效指标还有总/净资产收益率等,但由于缺乏数据,所以本文只使用了数据可得的营业收入增长率。
• (6)使用2004年的贸易数据来计算权重的原因是为了减轻内生性问题;改用样本期的平均贸易额来计算权重并不影响结果。
• (7)构造本文的工具变量需要两个国家之间的海运距离,因此IV-2SLS回归样本只包含岛国和沿海国家,内陆国家被排除在外;这是该工具变量的一个不足之处。