2020
DOI: 10.1016/j.resourpol.2020.101664
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International subsidiary performance of Indian multinationals in the extractive sector: The role of institutional quality, corruption and investment regime

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Cited by 12 publications
(12 citation statements)
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“…It means that firms in countries perceived as less corrupt are more profitable. While the result is favourable, it contradicts the findings of Das and Mahalik (2020), which found corruption as a driver of performance in the mining and metals sector. The result is expected because, in the current business environment where there is a growing interest in the building of sustainable businesses, the business and investor community are continuously placing premium on sustainable business practices.…”
Section: Resultscontrasting
confidence: 91%
“…It means that firms in countries perceived as less corrupt are more profitable. While the result is favourable, it contradicts the findings of Das and Mahalik (2020), which found corruption as a driver of performance in the mining and metals sector. The result is expected because, in the current business environment where there is a growing interest in the building of sustainable businesses, the business and investor community are continuously placing premium on sustainable business practices.…”
Section: Resultscontrasting
confidence: 91%
“…Mineral rents also produced mixed results. This is consistent with studies by Zoogah (2018) and Das and Mahalik (2020). These inconsistencies may be explained by the exploitative and rent-seeking nature of the natural resource sector.…”
Section: Regression Resultssupporting
confidence: 91%
“…Specifically, we had not the measure of intermediate consumption for the calculation of the TFP in subsidiaries (Levinsohn and Petrin, 2003;Petrin et al, 2004). In addition, we could not approximate in a better way the characteristics of the subsidiaries age or size as found in prior literature (Borini et al, 2012;Das and Mahalik, 2020;Rabbiosi and Santangelo, 2013). Fourth, regarding the methodology, we were not able to apply panel data or a lag structure in the model because with our data set, we have information only about the connection between parent and subsidiaries firms in the last year available.…”
Section: Discussionmentioning
confidence: 99%