Family involvement and R&D expenses in the context of weak property rights protection : an examination of non-state-owned listed companies in China
Bibliographic record
Abstract
The impact of family involvement on firm behaviour is an issue of global interest, yet paradoxically few studies examine the behaviour of family firms in the unique socio-political environment of China. We investigate the cross-institutional generalizability of the behavioural agency model, emphasizing the non-economic goals of controlling families as a driver of unique yet predictable behaviours in Chinese family firms and examine the relationship between family involvement and the R&D expenses reported by these firms. We propose that in a context of weak property rights protection such as China’s, the opportunity for family owners to attain transgenerational control is subject to the additional risk of state predation. We consequently expect economic goals to prevail over family-centred non-economic goals in Chinese family firms and hypothesize that their reported R&D expenses increase with family involvement due to severe Type II agency problems. Moreover, we examine the effect of positive and negative performance feedback on this relationship. Longitudinal data from non-state-owned listed companies in China provide overall support for these contentions. We discuss the theoretical and practical implications of these findings.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".