Product Innovations in Emerging Economies: The Role of Foreign Knowledge Access Channels and Internal Efforts in Chinese Firms
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we theoretically and empirically investigate factors that contribute to product innovation by firms in emerging markets. Combining the innovation literature with the latecomer literature on ‘catch-up’ strategies of firms in newly industrialized economies, we posit that access to foreign knowledge is essential for fostering product innovation. In particular, we investigate how innovation clusters formed by inward foreign direct investments in an emerging market and export activities of a firm are effective channels for acquiring foreign knowledge. We also suggest firms that invest in research and development and marketing activities benefit further from access to foreign knowledge due to increased absorptive capacity. Empirically, we employ information on over 160,000 indigenous manufacturing firms in China in 2005–2006. We find strong empirical support for our theoretical framework and conclude by discussing the implications for both theory and managerial practice.
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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 | 0.000 | 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 it