The home country’s role in shaping Chinese immigrant entrepreneurship
Notice bibliographique
Résumé
In the recent literature on immigrants, immigration is a complex phenomenon, characterised by a blurred boundary between the country of origin and the host country; the appearance of high and low skilled immigrants and global cities. This thesis argues, firstly that the country of origin plays an increasingly important role in influencing immigrants’ economic activities. Secondly, that highly skilled immigrant entrepreneurs have their own characteristics of economic activities. Thirdly, that between the global cities and non-global cities, immigrant entrepreneurs have different opportunity structures and strategies to operate their businesses. Global cities (or world cities) are cities that are deemed to be important nodes in the international economic network. They are large metropolitan urban centres such as Tokyo and New York, important international trade and financial capitals within the global economic network. The main research questions are ‘How do changes in the country of origin influence the characteristics of high skilled Chinese immigrant entrepreneurs? How do changes in the country of origin influence the opportunity structures and business operational behaviours of high skilled Chinese immigrant entrepreneurs between a large metropolitan and a small city - each with a different co-ethnic population size?’ These were addressed by exploring a sample population of highly skilled Chinese immigrant entrepreneurs in Auckland (a large metropolitan) and Hamilton (a small city) in relation to their characteristics in modern society; their business opportunities and the strategies they used. Seventy-seven Chinese immigrants from China were interviewed. This study found that, unlike in non-world cities, Chinese immigrant entrepreneurs in world cities did not fit the Aldrich and Waldinger (1990) model (the AW Model). Environmental changes in the host and the country of origin, the technology and the immigration movements are the main reasons. \n \nOver the last decade, more than 10 million Chinese, consisting of Chinese visitors and immigrants, went abroad each year for education, business and tourism. In turn, Chinese immigrant entrepreneurs have formed an international community, or a ‘Trans-Migrant Entrepreneurs (the TMEs)’ community in advanced countries such as New Zealand, Australia, Canada and the USA. Such an international phenomenon is fundamentally different from the activities of Chinese immigrant entrepreneurs three or more decades ago. The change can be accounted for in considerable part by their country of origin – China – that plays an important role in influencing and connecting the overseas Chinese immigrant entrepreneurs worldwide, particularly in the world cities. \n \nThis thesis introduces the Zhang Model that helps to understand the different characteristics, opportunity structures and strategies relating to highly skilled Chinese immigrant entrepreneurship from those of earlier generations of immigrant entrepreneurship in the AW Model. Furthermore, based on the Zhang Model, this thesis introduced the TMEs Model that puts an emphasis primarily on highly skilled immigrants who are mainly professional service providers, looking after co-ethnic international students, tourists, immigration applicants and business investors. The introduction of the Zhang Model and the TMEs Model is the theoretical contribution of this thesis. \n \nThe TMEs phenomenon is new and growing and therefore necessary to study and understand. The TMEs provide channels to enable co-ethnic people to become internationalised and promote the host country in the international market. Both their country of origin and the host nation should consider offering supportive policies to their entrepreneurship. \n \nTo understand how changes in the country of origin influence immigrant entrepreneurships, further research should consider a comparative study between low and highly skilled immigrant entrepreneurships, particularly in non-global cities, the non-ethnic market. In addition, more study is needed for how the one child policy impacts on Chinese immigrant entrepreneurship.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».