Do multinationals really prefer to enter culturally distant countries through greenfields rather than through acquisitions? The role of parent experience and subsidiary autonomy.

Prior research has argued that multinational enterprises (MNEs) prefer to enter culturally distant countries through greenfields rather than through acquisitions, since acquisitions in such countries are costlier to manage. This argument contains two hidden assumptions: (1) the additional costs of acquisitions in culturally distant countries are the same for all MNEs; and (2) such acquisitions have no benefits over their greenfield counterparts. In this paper we relax these two assumptions by arguing that an MNE's preference for greenfields in culturally distant countries depends on its international and host-country experience, and on the level of autonomy it plans to grant the focal subsidiary. Analyzing 171 wholly owned greenfield investments and full acquisitions made by Dutch MNEs in 35 countries, we find that these MNEs prefer to enter culturally distant countries through greenfields, but that this preference is lower when they have little international experience, or plan to grant the focal subsidiary considerable autonomy in marketing. [ABSTRACT FROM AUTHOR]

Do Foreign Greenfields Outperform Foreign Acquisitions or Vice Versa? An Institutional Perspective.

Prior studies of the comparative performance of greenfields and acquisitions have advanced competing arguments, with some arguing that greenfields should outperform acquisitions because acquisitions are costlier to integrate, and others that acquisitions should outperform greenfields because greenfields suffer from a liability of newness. Moreover, while the costs of integration and the liability of newness are at their greatest during a subsidiary's first years, prior studies have tested their competing arguments on samples containing older subsidiaries. We extend these prior studies by (1) developing an institutional theory-based framework that simultaneously considers the costs of integration and the liability of newness, (2) recognizing that both types of costs vary with the level of subsidiary integration, and (3) focusing on the stage of their life during which subsidiaries predominantly incur these costs. To measure subsidiary performance, we ask managers of Dutch multinationals how their ex ante performance expectations compare to the subsidiary's ex post performance during its first two years. Analysing a sample of 191 foreign subsidiaries and controlling for entry mode self-selection and other factors, we find that acquisitions outperform greenfields at low and intermediate levels of subsidiary integration, but that greenfields outperform acquisitions at higher integration levels. [ABSTRACT FROM AUTHOR]

Why and how FDI stocks are a biased measure of MNE affiliate activity

Many international business (IB) studies have used foreign direct investment (FDI) stocks to measure the aggregate value-adding activity of multinational enterprises (MNE) affiliates in host countries. We argue that FDI stocks are a biased measure of that activity, because the degree to which they overestimate or underestimate affiliate activity varies systematically with host-country characteristics. First, most FDI into countries that serve as tax havens generate no actual productive activity; thus FDI stocks in such countries overestimate affiliate activity. Second, FDI stocks do not include locally raised external funds, funds widely used in countries with well-developed financial markets or volatile exchange rates, resulting in an underestimation of affiliate activity in such countries. Finally, the extent to which FDI translates into affiliate activity increases with affiliate labor productivity, so in countries where labor is more productive, FDI stocks also result in an underestimation of affiliate activity. We test these hypotheses by first regressing affiliate value-added and affiliate sales on FDI stocks to calculate a country-specific mismatch, and then by regressing this mismatch on a host country's tax haven status, level of financial market development, exchange rate volatility, and affiliate labor productivity. All hypotheses are supported, implying that FDI stocks are a biased measure of MNE affiliate activity, and hence that the results of FDI-data-based studies of such activity need to be reconsidered. [ABSTRACT FROM AUTHOR]

Use of NMR metabolomic plasma profiling methodologies to identify illicit growth-promoting administrations

Detection of growth-promoter use in animal production systems still proves to be an analytical challenge despite years of activity in the field. This study reports on the capability of NMR metabolomic profiling techniques to discriminate between plasma samples obtained from cattle treated with different groups of growth-promoting hormones (dexamethasone, prednisolone, oestradiol) based on recorded metabolite profiles. Two methods of NMR analysis were investigated—a Carr–Purcell–Meiboom–Gill (CPMG)-pulse sequence technique and a conventional 1H NMR method using pre-extracted plasma. Using the CPMG method, 17 distinct metabolites could be identified from the spectra. 1H NMR analysis of extracted plasma facilitated identification of 23 metabolites—six more than the alternative method and all within the aromatic region. Multivariate statistical analysis of acquired data from both forms of NMR analysis separated the plasma metabolite profiles into distinct sample cluster sets representative of the different animal study groups. Samples from both sets of corticosteroid-treated animals—dexamethasone and prednisolone—were found to be clustered relatively closely and had similar alterations to identified metabolite panels. Distinctive metabolite profiles, different from those observed within plasma from corticosteroid-treated animal plasma, were observed in oestradiol-treated animals and samples from these animals formed a cluster spatially isolated from control animal plasma samples. These findings suggest the potential use of NMR methodologies of plasma metabolite analysis as a high-throughput screening technique to aid detection of growth promoter use.