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Ownership strategies in knowledge-intensive cross-border acquisitions: Comparing Chinese and Indian MNEs

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Abstract

Drawing on the comparative ownership framework, we perform a comparative analysis of Chinese and Indian multinational enterprises (MNEs)’ ownership strategies in knowledge-intensive cross-border acquisitions (CBAs). Specifically, we claim that due to their lower comparative ownership advantage, and the consequent higher information asymmetry, Chinese MNEs are more cautious (than Indian MNEs) in their ownership strategy. We rely on a dataset of acquisitions undertaken by high and medium-high tech Chinese and Indian MNEs worldwide during the period 2000–2014. Results confirm that Chinese MNEs prefer lower equity control than their Indian counterparts. However, such a preference for lower equity decreases with higher home-host institutional distance and host country-specific previous experience. These factors do not seem to modify the ownership preference of Indian MNEs in the same way.

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Notes

  1. It is important to note that in H1 we do not take into account whether the acquisition was made in a developed or emerging market.

  2. The initial sample was composed by 425 Chinese and Indian knowledge-intensive acquisitions. Considering the significant amount of missing data especially for firm-level variables, the final sample is smaller compared to the initial one. Therefore, we performed three different χ2 tests on three sample dimensions (i.e., host countries, acquirer sectors and target sectors) using the original sample. The tests show that there are no statistically significant differences between the distribution of the sample firms across the three dimensions and the corresponding distribution of the population from which the sample was drawn (p-values: .36, .26 and .18, respectively).

  3. We use the classification provided by the International Monetary Fund for categorizing the target countries included in the sample.

  4. The items of the Economics Freedom Index are actually 10, but the 10th (i.e., labor freedom) is not employed as it has been made available only since 2005, while the deals included in our sample range from 2000 to 2014.

  5. Following Gaur and Lu (2007) and Contractor et al. (2014) we distinguish between formal and informal institutions. In particular, we call simply institutions the former, which relate to rules, law and practices, while informal institutions refer to values, norms and traditions of culture, language and society (North, 1973).

  6. In case the index of host country was not available, we assigned these countries the score of others supposed to have similar institutional environment (for a similar approach, see Quer, Claver, & Rienda, 2012).

  7. In our sample the direction of the institutional distance is positive in 97% of the observations, indicating that knowledge-intensive acquisitions undertaken by Chinese and Indian firms are targeting more institutionally advanced countries, as hypothesized in our theoretical framework.

  8. It may be worth noting that, compared to the models presented in Table 4, we included less control variables. This is due to the smaller number of observations in the two split samples that causes a reduction in the degrees of freedom of the models. However, to avoid any potential omitted variable bias we run further robustness checks on the full model specification and results are in line with the ones presented in Table 6 (results are available upon request from the authors).

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Scalera, V.G., Mukherjee, D. & Piscitello, L. Ownership strategies in knowledge-intensive cross-border acquisitions: Comparing Chinese and Indian MNEs. Asia Pac J Manag 37, 155–185 (2020). https://doi.org/10.1007/s10490-018-9616-6

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