Skip to content

Commit

Permalink
Update 1.md
Browse files Browse the repository at this point in the history
  • Loading branch information
yangkeunyun authored Apr 13, 2024
1 parent 52f8315 commit 3e7bd9f
Showing 1 changed file with 1 addition and 1 deletion.
2 changes: 1 addition & 1 deletion content/papers/1.md
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ summary: "How to efficiently allocate common-pool resources over the long run? T

##### Abstract

Competitive entry and investment in the commons can result in resource depletion and congestion externalities over the long run. But little evidence exists on the efficient allocation of common-pool resources when industry structure is flexible. This paper develops a model of common-pool industry dynamics and applies it to the 19th-century American whaling industry, a global commons for oil production. The estimated model reveals a prevailing excess of players and capital compared to the first-best allocation. Counterfactual simulation quantifies negative externalities by identifying the shadow values of whaling. It underscores the necessity of incorporating the evolution of industry structure into the design of a tax system to achieve efficient allocation.
Competitive entry and investment in the commons can result in resource depletion and congestion externalities. But little evidence exists on the efficient allocation of common-pool resources over the long run. This paper develops a model of common-pool industry dynamics and applies it to the 19th-century American whaling industry, a global commons for oil production. The estimated model reveals a prevailing excess of players and capital compared to the first-best allocation. Counterfactual simulation quantifies negative externalities by identifying the shadow values of whaling. This underscores the significance of industry structure evolution in designing policies to achieve efficient allocation.

---

Expand Down

0 comments on commit 3e7bd9f

Please sign in to comment.