Implications of the Digital Economy on Merger Control in Pakistan and China: Policy Implications for Pakistan
Bibliographic record
Abstract
The rise of the digital economy has challenged the foundation of competition law frameworks the world over. Today, the antitrust doctrine finds itself confronting a new economy; an econo-my wherein data acts as a currency, markets are without prices, market collisions are based on algorithms, and the market is ‘infinite’. Several jurisdictions such as Germany, Austria, and China have developed new regulations or amended existing legislations to confront the chal-lenges presented by the digital economy. A dearth of theoretical and empirical literature has evaluated whether digital markets are so fundamentally different as to require a different set of rules. Of specific interest to this paper is whether current competition rules are sufficient to deal with mergers and acquisitions (M&As) in digital markets. This paper assesses M&A regulations in China and Pakistan in light of the new digital economy. Expert interviews were conducted using semi-structured interviews to investigate the comparisons between Pakistan’s and China’s merger control regimes. The findings indicate that China’s merger control regulations are better adopted for the digital economy than Pakistani’s. It also sets out the policy implications for competition policy makers in Pakistan.
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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 | 0.000 | 0.000 |
| 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".