A Game-Theory Analysis of Optimal Leasing and Selling Strategies of Durable Goods in Duopoly Markets
Bibliographic record
Abstract
In this paper, we analyze the strategic impact on the choice between leasing and selling in a duopoly market, a generalized model is developed based on the Cournot model, we not only consider the substitution relationship of two firms’ new products, but also take the competitiveness between new products and second-hand products into account, and we’ve discussed six cases respectively under different situations. The results show that if two firms simultaneously employ the same pure strategy, such as (leasing, leasing) or (selling, selling), pure selling strategy turns out to be better than pure leasing strategy. However, if one firm chooses pure selling strategy while the other chooses pure leasing strategy, leasing is the unique dominant behavior. In addition, if one firm’s choice is pure strategy, the other’s choice is a mix of leasing and selling strategy, pure strategy always dominates the mixed strategy except when the proportion of selling is sufficiently small.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".