Immigrant effects and international business activity: an overview
Bibliographic record
Abstract
Purpose This paper aims to examine the myriad linkages between cross‐border migration and international business activity through a conceptual framework of international arbitrage. Design/methodology/approach While labour is internationally the least integrated of the various markets (capital, product, labour) the increasing co‐movement of both tasks and workers has created opportunities for the arbitrage and exploitation of differences between national labour markets. Because national labour markets typically display the two characteristics of separation and price discrepancy it is possible to utilise the principle of arbitrage and within this framework examine cost, intellectual, knowledge and employment arbitrage. Findings The discussion suggests that international business offers valuable insights into migration processes and effects which have been dominated by the research approaches of other disciplines. It is found that migrants can help reduce transaction costs for bilateral trade, contribute to nostalgic trade, encourage outsourcing and foreign direct investment through referrals and performance signalling, assist country of origin development through remittances and return migration and provide valuable knowledge to their employers in the country of residence. Research limitations/implications The paper is a conceptual one which offers no new empirical results but does provide a context for the interpretation of the more specialised studies that appear in this special issue. There is a need for research on this topic to be firmly grounded in the contemporary context of an increasingly integrated global economy. It also suggests a number of specific areas where further work would be useful. Originality/value The key contribution of the paper is in developing a comprehensive conceptual framework – that of labour market arbitrage – which enables a clearer understanding of the complex impacts of international migration on international business activity. It also distinguishes between direct and indirect effects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".