The influence of motivations on international location choice in least developed, emerging and developed countries: evidence from Chinese MNEs
Bibliographic record
Abstract
Purpose This research aims to assess variations of motivations when studying international location decisions. In particular, this study aims to assess the influence of diverse motivations – seeking technology, seeking brand assets, seeking markets, seeking resources and escaping institutional constraints – as determinants of the international location choice of emerging market multinational enterprises (EM MNEs) entering least developed, emerging, and developed countries. Design/methodology/approach The authors develop a set of hypotheses based on the ownership–location–internalization framework and complement it with an institutional perspective. The conceptual model posits that the different internationalization motivations (seeking technology, seeking brand assets, seeking markets, seeking resources and escaping institutional constraints) will impact the location choice of EM MNEs in developed economies, emerging markets or least developed countries. This study uses the 2013 survey data collected by the China Council for the Promotion of International Trade and the Asia Pacific Foundation of Canada. The final sample of analysis of this research includes 693 observations. Findings After controlling for several variables, two-stage Heckman regressions show there is a variation of motivations when EM MNEs enter least developed countries, emerging markets and developed economies. EM MNEs are motivated to enter least developed countries to seek markets and resources. Conversely, those firms enter developed countries in their search for technological assets and to escape institutional constraints at home. While the present study findings show a clear difference in the motivations that lead to location choice in least developed vs developed countries, the results are not as clear for location in other emerging countries. Research limitations/implications The paper offers empirical support for the importance of motivations as crucial determinants of location choice. Originality/value This paper provides a detailed quantitative study on the internationalization location choice of EM MNEs based on their motivations. Though theoretical models underscore the importance of motivations, we know very little about how, in practice, motivations drive location choice. This study contributes to the international location choice literature a deeper understanding of how diverse motivations drive choices of expansion into developed economies, emerging markets or least developed countries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".