The impact of overseas human capital and social ties on Chinese returnee entrepreneurs’ venture performance
Bibliographic record
Abstract
Purpose Entrepreneurship research clearly documents the importance of human and social capital and stresses the way in which entrepreneurs take advantage of their own social affiliations and network strategies in pursuit of their entrepreneurial goals, yet the research on returnee entrepreneurs’ human and social capital is not sufficiently studied in the international context, in particular when returnees’ overseas human capital and social capital may be a misfit with local business environment. Using the data from Chinese returnee entrepreneurs’ venture activities in China, the purpose of this paper is to examine the impact of returnee entrepreneurs’ overseas capital (human and social) and domestic capital (human and social) on their venture performance in China, and further explore the interaction effect of different social and human capital with China’s entrepreneurial environment. Design/methodology/approach This study surveyed 500 start-up businesses created by returnee entrepreneurs in China to collect data. Self-administered questionnaires were used to collect data on their demographic information, the information about the human and social capital of these returnee entrepreneurs, including domestic and overseas capital, various performance measures, and other control variables ending up with 226 usable questionnaires. Findings The results show that Chinese returnee entrepreneurs’ overseas human capital and social capital, as well as their domestic social capital, but not domestic human capital, have a significant impact on their venture performance. In addition, while domestic entrepreneurial environment does not affect the impact of overseas human and social capital on venture performance, it does provide an important contextual setting for domestic capital to improve returnee entrepreneurs’ venture performance. Originality/value The findings help enrich the understanding of the dynamic interplays among Chinese returnee entrepreneurs’ domestic human capital and social capital, overseas human capital, and social capital, as well as the entrepreneurial environment for returnee entrepreneurs’ success, which makes an important contribution to the international entrepreneurship theory by showing that overseas human capital and social capital are not a misfit with local markets. It also provides empirical support for the mediating effect of entrepreneurial opportunity identification. The important role of entrepreneurial opportunity is empirically supported in an international context: entrepreneurship is all about the discovery of entrepreneurial opportunities and exploitation of this opportunity to create viable business entities for new products and services, even in the Chinese context, a culture which is very different from the ones where the entrepreneurship theory was developed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".