{"title":"Explaining Firm-Level Manufacturing Outward FDI from India Under Alternate Theoretical Frameworks","authors":"Anindita Goldar","doi":"10.1142/s1793993324500066","DOIUrl":null,"url":null,"abstract":"The firm-level determinants of outward foreign direct investment (OFDI) intensity of Indian manufacturing firms are analyzed using a random-effects Tobit model for a panel dataset covering over 17,550 firms from 1992–1993 to 2018–2019. The explanatory variables are based on a theoretical synthesis of Dunning’s (1980) [Towards an eclectic theory of international production: Some empirical tests. Journal of International Business Studies, 11(1), 9–31] ownership–location–internationalization (OLI) model and Mathew’s (2002) [Competitive advantage of the latecomer firm: A resource-based account of industrial catch-up strategies. Asia Pacific Journal of Management, 19(4), 467–488] linkage–leverage–learning (LLL) model. The empirical evidence reveals that policy liberalization, size (up to a threshold level), age, business group ownership structure, and the extent of foreign earnings strongly impact the OFDI intensity of Indian manufacturing enterprises. In contrast, outsourcing intensity, technological efforts, product differentiation, export intensity, and use of imported intermediate inputs were found to have a moderate positive impact. A moderate negative impact was found for factors like the global financial crisis, debt-equity ratio, and technology imports, and a strong negative effect for foreign ownership and public-sector ownership structure variables.","PeriodicalId":513187,"journal":{"name":"Journal of International Commerce, Economics and Policy","volume":"30 13","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of International Commerce, Economics and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s1793993324500066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The firm-level determinants of outward foreign direct investment (OFDI) intensity of Indian manufacturing firms are analyzed using a random-effects Tobit model for a panel dataset covering over 17,550 firms from 1992–1993 to 2018–2019. The explanatory variables are based on a theoretical synthesis of Dunning’s (1980) [Towards an eclectic theory of international production: Some empirical tests. Journal of International Business Studies, 11(1), 9–31] ownership–location–internationalization (OLI) model and Mathew’s (2002) [Competitive advantage of the latecomer firm: A resource-based account of industrial catch-up strategies. Asia Pacific Journal of Management, 19(4), 467–488] linkage–leverage–learning (LLL) model. The empirical evidence reveals that policy liberalization, size (up to a threshold level), age, business group ownership structure, and the extent of foreign earnings strongly impact the OFDI intensity of Indian manufacturing enterprises. In contrast, outsourcing intensity, technological efforts, product differentiation, export intensity, and use of imported intermediate inputs were found to have a moderate positive impact. A moderate negative impact was found for factors like the global financial crisis, debt-equity ratio, and technology imports, and a strong negative effect for foreign ownership and public-sector ownership structure variables.
本文采用随机效应托比特模型,对1992-1993年至2018-2019年期间超过17550家企业的面板数据集,分析了印度制造业企业对外直接投资强度的企业层面决定因素。解释变量基于 Dunning(1980 年)[Towards an eclectic theory of international production:Some empirical tests.国际商业研究期刊》,11(1),9-31)所有权-地点-国际化(OLI)模型和 Mathew(2002)的[后发企业的竞争优势:基于资源的工业赶超战略论述。亚太管理杂志》,19(4),467-488)的联系-杠杆-学习(LLL)模型。经验证据显示,政策自由化、规模(达到临界水平)、年龄、企业集团所有权结构和国外收益程度对印度制造业企业的对外直接投资强度有很大影响。相比之下,外包强度、技术努力、产品差异化、出口强度和进口中间投入品的使用则产生了适度的积极影响。全球金融危机、资产负债率和技术进口等因素产生了中等程度的负面影响,而外资所有权和公共部门所有权结构变量则产生了强烈的负面影响。