Endogenous Production Networks and Learning-by-Networking

Nuriye Melisa Bilgin
{"title":"Endogenous Production Networks and Learning-by-Networking","authors":"Nuriye Melisa Bilgin","doi":"10.2139/ssrn.3542371","DOIUrl":null,"url":null,"abstract":"This paper analyzes the interaction between firm heterogeneity, domestic and international production networks, and firm productivity. A detailed analysis of 2006-2017 data shows that input- output linkages across Turkish manufacturing firms provide an amplification mechanism for shocks. After finding strong evidence that supports the asymmetry of the firm-level production networks, I build a model that lays a theoretical foundation upon which establish a linkage between productivity and performance in production networks. Empirical results support the theoretical model and demonstrate the close relationship between the sophistication of a firm’s production network, its productivity, and its entry decision regarding export markets. This study provides evidence on how firms become more productive if they are part of a sophisticated production network while proposing a hypothesis of learning- by-networking with other firms in their production network. Productivity gains also correlated to the firm’s network position in the supply chain, industry class, and the diversity of its export destinations.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"237 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics of Networks eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3542371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper analyzes the interaction between firm heterogeneity, domestic and international production networks, and firm productivity. A detailed analysis of 2006-2017 data shows that input- output linkages across Turkish manufacturing firms provide an amplification mechanism for shocks. After finding strong evidence that supports the asymmetry of the firm-level production networks, I build a model that lays a theoretical foundation upon which establish a linkage between productivity and performance in production networks. Empirical results support the theoretical model and demonstrate the close relationship between the sophistication of a firm’s production network, its productivity, and its entry decision regarding export markets. This study provides evidence on how firms become more productive if they are part of a sophisticated production network while proposing a hypothesis of learning- by-networking with other firms in their production network. Productivity gains also correlated to the firm’s network position in the supply chain, industry class, and the diversity of its export destinations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
内生生产网络与网络学习
本文分析了企业异质性、国内外生产网络与企业生产率之间的相互作用。对2006-2017年数据的详细分析表明,土耳其制造业企业的投入产出联系为冲击提供了放大机制。在找到强有力的证据支持企业层面生产网络的不对称性后,我建立了一个模型,为建立生产网络中生产率和绩效之间的联系奠定了理论基础。实证结果支持了理论模型,并证明了企业生产网络的复杂程度、生产率与出口市场进入决策之间的密切关系。这项研究提供了证据,说明如果企业是一个复杂的生产网络的一部分,它们是如何提高生产率的,同时提出了一个假设,即与生产网络中的其他企业通过网络学习。生产率的提高还与企业在供应链中的网络位置、行业类别和出口目的地的多样性有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Education-Occupation Mismatch and Social Networks for Hispanics in the US: Role of Citizenship Monitoring Network Changes in Social Media Platform Liability and Innovation The Bipartisan Case for Labeling as a Content Moderation Method: Findings from a National Survey Dealer Networks and the Cost of Immediacy
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1