Abstract
We study environments where a production process is jointly shared by a finite group of agents. The social decision involves the determination of input contribution and output distribution. We define a competitive solution when there is decreasing-returns-to-scale which leads to a Pareto optimal outcome. Since there is a finite number of agents, the competitive solution is prone to manipulation. We construct a mechanism for which the set of Nash equilibria coincides with the set of competitive solution outcomes. We define a marginal-cost-pricing equilibrium (MCPE) solution for environments with increasing returns to scale. These solutions are Pareto optimal under certain conditions. We construct another mechanism that realizes the MCPE.
| Original language | English |
|---|---|
| Pages (from-to) | 489-502 |
| Number of pages | 14 |
| Journal | Journal of Mathematical Economics |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1999 |
| Externally published | Yes |
Bibliographical note
Funding Information:We wish to thank Andrew Postlewaite and a referee for helpful comments. We are grateful to the participants of the Stony Brook International Conference on Game Theory [1996]. Also, we gratefully acknowledge the support from the Kreitman Foundation and the Monaster Center for Economic Research.
Keywords
- Cost sharing
- D51
- D61
- D78
- Increasing returns to scale
- Marginal-cost-pricing equilibrium
ASJC Scopus subject areas
- Economics and Econometrics
- Applied Mathematics
Fingerprint
Dive into the research topics of 'Cost sharing: Efficiency and implementation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver