The institutional determinants of agglomeration: a study in the global semiconductor industry

Martín, Xavier; Salomon, Robert; Wu, Zheying

doi:10.1093/icc/dtq049

Cited by 31 publications

(24 citation statements)

References 54 publications

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“…We control for exogenous uncertainty and market attractiveness of host countries with a set of country-level control variables obtained from the WDI. Population, GDP per capita, and GDP growth rate are used as proxies of the size, development level, and economic growth in host countries which represents market attractiveness of host countries (Holburn & Zelner, 2010;Martin, Salomon & Wu, 2010).…”

Section: Control Variablesmentioning

confidence: 99%

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International experience and FDI location choices of Chinese firms: The moderating effects of home country government support and host country institutions

et al. 2014

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This is the accepted version of the paper.This version of the publication may differ from the final published version. sub-sample analyses we identify differences between entering developed and developing host countries in terms of the impact of home country government support and quality of host country institutions. Our findings help explain the puzzle concerning why EE firms have rapidly internationalized in a short period of time and do not follow the pattern predicted by classical IB theories. In comparison with studies from developed country contexts, our findings also highlight that the effect of home country support may be context specific. Permanent repository link

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Section: Control Variablesmentioning

confidence: 99%

“…Previous studies found that various kinds of cross-national distance affect firms' overseas investments (e.g., Berry, Guillen & Zhou, 2010;Holburn & Zelner, 2010;Martin et al, 2010). We include cross-national distance measures developed by Berry et al (2010) to capture their possible effects on location choices.…”

Section: Control Variablesmentioning

confidence: 99%

International experience and FDI location choices of Chinese firms: The moderating effects of home country government support and host country institutions

et al. 2014

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“…Recognizing the pros and cons for each firm in agglomerating with rival or complementary firms (Shaver & Flyer, 2001), researchers should continue to examine clusters in foreign entry (Martin, Salomon, & Wu, 2010). MLM should also be used to connect such cluster effects with differences in economic and cultural attractiveness of regions within nations.…”

Section: Interorganizational Effects and Clusters Within Countriesmentioning

confidence: 99%

Multilevel models in international business research

2012

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Multiple-level (or mixed linear) modeling (MLM) can simultaneously test hypotheses at several levels of analysis (usually two or three), or control for confounding effects at one level while testing hypotheses at others. Advances in multi-level modeling allow increased precision in quantitative international business (IB) research, and open up new methodological and conceptual possibilities. However, they create new challenges, and they are still not frequently used in IB research. In this editorial we outline some key methodological issues for the uses of MLM in IB, including criteria, sample size, and measure equivalence issues. We then examine promising directions for future multilevel IB research considering comparative opportunities at nation, multiple-nation cluster, and within-nation region levels, including large multilevel databases. We also consider its promise for MNE research about semi-globalization, interorganizational effects across nations, clusters within nations, and teams and subsidiaries within MNEs.

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“…Second, the concept of an organizational field is not restricted from a geographical point of view. This is helpful for our analysis, because this industry is highly internationalized and clarification of the regional agglomeration of activities is nevertheless one of the first research tasks (see, for respective evidence, Martin, Salomon, and Wu 2010). Third, an organizational field may even cut across the boundaries of a single industry and also includes additional actors such as regulatory agencies or capital providers, be they private or public.…”

Section: Multiple Actorsmentioning

confidence: 99%

Path Constitution Analysis: A Methodology for Understanding Path Dependence and Path Creation

Sydow

Windeler

Müller‐Seitz

et al. 2012

Bus Res

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The institutional determinants of agglomeration: a study in the global semiconductor industry

Cited by 31 publications

References 54 publications

International experience and FDI location choices of Chinese firms: The moderating effects of home country government support and host country institutions

International experience and FDI location choices of Chinese firms: The moderating effects of home country government support and host country institutions

Multilevel models in international business research

Path Constitution Analysis: A Methodology for Understanding Path Dependence and Path Creation

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