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ODI from BRIC Countries: A Multi-country Empirical Analysis

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Abstract

In this chapter, we study firm performance and Outward Direct Investment (ODI) from Brazil, Russia, India, and China (BRIC) through a multi-country econometric analysis. First, we present our firm-level data, highlighting distinctive features of the ORBIS database that make it particularly suitable for our purposes. Second, we introduce our taxonomy of ODI, detailing the different classes of ODI involvement that mark our main departure from the literature. Third, we study the ODI involvement and the ODI-performance nexus of BRIC enterprises through econometric analysis. Econometric models and specifications are described in detail and estimation results are presented with the help of summarizing tables. This strategy helps in commenting on the empirical evidence and drawing robust regularities from a multi-country perspective. First, BRIC firms engaged in ODI are in the minority. Second, within the group of investors, those firms having more than five foreign subsidiaries, investing in developing countries, or operating in joint ventures are in the minority. Third, the best performing firms engage in ODI. Fourth, within the group of investors, the best performing firms are more likely to rely on a large number of foreign subsidiaries, and less likely to invest in developing countries alone, or to operate exclusively in joint ventures.

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Notes

  1. 1.

    Note that we treat the terms “subsidiaries” and “affiliates” as synonymous.

  2. 2.

    Missing values are a serious concern for earlier periods.

  3. 3.

    Our initial population counted 7760 firms.

  4. 4.

    70% of the sampled firms are at least 20 years old and the average age is 26.

  5. 5.

    In this book, we classify as WFOEs all subsidiaries having more than 95% foreign participation.

  6. 6.

    At this stage, it should be mentioned that we also estimated total factor productivity through the Levinsohn-Petrin methodology (Levinsohn and Petrin 2003). However, due to the large number of missing values on the variables of interest, we ended up with a measure of total factor productivity that was unsuitable for econometric purposes. For this reason, we do not report results for total factor productivity, but we rather stick to labor productivity.

  7. 7.

    See Chap. 3 on this point.

  8. 8.

    Unfortunately, ORBIS provides no information on export or import status; therefore, we cannot control for them.

  9. 9.

    Note that we avoid mixed specifications—in which ODI could be regressed on a group of performance variables—because correlation among our covariates tends to be quite high (Table 4.4).

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Gattai, V., Mechelli, R., Natale, P. (2019). ODI from BRIC Countries: A Multi-country Empirical Analysis. In: ODI from BRIC Countries. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-319-97340-1_4

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