主要新兴市场经济体的劳动力市场扭曲:一些CGE估计

IF 0.7 Q3 ECONOMICS
Pablo R. Liboreiro
{"title":"主要新兴市场经济体的劳动力市场扭曲:一些CGE估计","authors":"Pablo R. Liboreiro","doi":"10.20885/ejem.vol15.iss2.art2","DOIUrl":null,"url":null,"abstract":"Purpose ― In the present study, the effects of labor market distortions on economic structure and efficiency are estimated for seven emerging-market countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey. Methods ― The estimates are based on a computable equilibrium (CGE) model that allows simulation of the inter-industry links of 56 industries plus a sector representing the rest of the world from data collected in the World Input-Output Database (Release 2016) for the period 2000-2014. Findings ― The results show that wage differentials appear to be distortionary, especially in the cases of countries with high wage-income inequality. Moreover, it seems that labor market distortions in emerging-market countries are subject to the rural-urban dichotomy and urban labor-market imperfections. Finally, the results show that the removal of wage differentials affects the terms of trade, which are improved in most but not all cases.Implication ― The conclusions of the present study have policy implications. In countries where the rural-urban dichotomy is the main distortion in labor markets, increasing urbanization can stimulate efficiency; when this is not the case, further reform of urban labor markets is needed. However, it cannot be ruled out in advance that a policy aimed at enhancing labor mobility may have a negative impact on the terms of trade. Originality ― The estimation method used in the present study presents certain advances over others found in the literature, as it becomes possible to estimate the effects of labor-market distortions while considering the interdependencies between different sectors, as well as to plausibly estimate the effects on trade. The present study also uses a large quantity of data, which is expected to add robustness to the study’s conclusion.","PeriodicalId":41472,"journal":{"name":"Economic Journal of Emerging Markets","volume":"21 1","pages":"0"},"PeriodicalIF":0.7000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Labor market distortions in major emerging-market economies: Some CGE estimates\",\"authors\":\"Pablo R. Liboreiro\",\"doi\":\"10.20885/ejem.vol15.iss2.art2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose ― In the present study, the effects of labor market distortions on economic structure and efficiency are estimated for seven emerging-market countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey. Methods ― The estimates are based on a computable equilibrium (CGE) model that allows simulation of the inter-industry links of 56 industries plus a sector representing the rest of the world from data collected in the World Input-Output Database (Release 2016) for the period 2000-2014. Findings ― The results show that wage differentials appear to be distortionary, especially in the cases of countries with high wage-income inequality. Moreover, it seems that labor market distortions in emerging-market countries are subject to the rural-urban dichotomy and urban labor-market imperfections. Finally, the results show that the removal of wage differentials affects the terms of trade, which are improved in most but not all cases.Implication ― The conclusions of the present study have policy implications. In countries where the rural-urban dichotomy is the main distortion in labor markets, increasing urbanization can stimulate efficiency; when this is not the case, further reform of urban labor markets is needed. However, it cannot be ruled out in advance that a policy aimed at enhancing labor mobility may have a negative impact on the terms of trade. Originality ― The estimation method used in the present study presents certain advances over others found in the literature, as it becomes possible to estimate the effects of labor-market distortions while considering the interdependencies between different sectors, as well as to plausibly estimate the effects on trade. The present study also uses a large quantity of data, which is expected to add robustness to the study’s conclusion.\",\"PeriodicalId\":41472,\"journal\":{\"name\":\"Economic Journal of Emerging Markets\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Journal of Emerging Markets\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20885/ejem.vol15.iss2.art2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Journal of Emerging Markets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20885/ejem.vol15.iss2.art2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

目的:本研究估计了劳动力市场扭曲对七个新兴市场国家经济结构和效率的影响:巴西、中国、印度尼西亚、印度、墨西哥、俄罗斯和土耳其。方法:估算基于可计算均衡(CGE)模型,该模型允许从世界投入产出数据库(2016年发布)收集的2000-2014年期间的数据中模拟56个行业和代表世界其他地区的行业间联系。研究结果-研究结果表明,工资差异似乎具有扭曲性,特别是在工资收入不平等程度高的国家。此外,新兴市场国家的劳动力市场扭曲似乎受到城乡二元对立和城市劳动力市场不完善的影响。最后,研究结果表明,工资差异的消除影响了贸易条件,在大多数情况下,贸易条件得到了改善,但不是全部。含义-本研究的结论具有政策含义。在城乡二元对立是劳动力市场主要扭曲的国家,提高城市化水平可以刺激效率;如果情况并非如此,就需要进一步改革城市劳动力市场。但是,也不能排除以提高劳动流动性为目的的政策对贸易条件产生负面影响的可能性。原创性-本研究中使用的估计方法比文献中发现的其他方法有一定的进步,因为它可以在考虑不同部门之间的相互依赖性的同时估计劳动力市场扭曲的影响,并合理地估计对贸易的影响。本研究还使用了大量的数据,有望增加研究结论的稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Labor market distortions in major emerging-market economies: Some CGE estimates
Purpose ― In the present study, the effects of labor market distortions on economic structure and efficiency are estimated for seven emerging-market countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey. Methods ― The estimates are based on a computable equilibrium (CGE) model that allows simulation of the inter-industry links of 56 industries plus a sector representing the rest of the world from data collected in the World Input-Output Database (Release 2016) for the period 2000-2014. Findings ― The results show that wage differentials appear to be distortionary, especially in the cases of countries with high wage-income inequality. Moreover, it seems that labor market distortions in emerging-market countries are subject to the rural-urban dichotomy and urban labor-market imperfections. Finally, the results show that the removal of wage differentials affects the terms of trade, which are improved in most but not all cases.Implication ― The conclusions of the present study have policy implications. In countries where the rural-urban dichotomy is the main distortion in labor markets, increasing urbanization can stimulate efficiency; when this is not the case, further reform of urban labor markets is needed. However, it cannot be ruled out in advance that a policy aimed at enhancing labor mobility may have a negative impact on the terms of trade. Originality ― The estimation method used in the present study presents certain advances over others found in the literature, as it becomes possible to estimate the effects of labor-market distortions while considering the interdependencies between different sectors, as well as to plausibly estimate the effects on trade. The present study also uses a large quantity of data, which is expected to add robustness to the study’s conclusion.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
20.00%
发文量
21
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信