Data on how abundance of resource inflows and punishment types affect resource extraction behavior

被引:0
|
作者
Abatayo, Anna Lou [1 ,4 ]
Lynham, John [1 ,2 ,3 ]
机构
[1] Wageningen Univ & Res, Environm Econ & Nat Resources Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands
[2] Univ Hawai Manoa, Dept Econ, 2424 Maile Way, Honolulu, HI 96822 USA
[3] Univ Hawai Manoa, UHERO, 2424 Maile Way, Honolulu, HI 96822 USA
[4] Wageningen Univ & Res, Environm Econ & Nat Resources Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands
来源
DATA IN BRIEF | 2023年 / 48卷
基金
美国国家科学基金会;
关键词
Resource curse; Common pool resources; Social ostracism; Financial Punishment;
D O I
10.1016/j.dib.2023.109215
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The data is collected through laboratory experiments on a dynamic common pool resource game, where, in an infinitely repeated number of rounds (i.e., game ended randomly), in- dividuals made decisions about whether to exert a high or a low effort level to extract resources. Experiments were conducted using the student sample (consent provided and ethics approved) at the University of HawaiModified Letter Turned Commai at Ma over bar noa. A total of 8 sessions, 2 for each of the 4 treatments, were run with exactly 20 participants within a session. Individu- als made decisions in groups of 10. Communication between any participant was not allowed. A session is randomly as- signed (1) to vary whether the inflow of resources at the be- ginning of each round is high or low, and (2) to allow partic- ipants to either financially punish or socially punish defec- tors. A financial punishment resulted to a loss in profit for the punished while a social punishment displayed the words "You have extracted too much! You're being greedy!" on the computer screen of the punished. Individuals were assigned subject ID numbers and interacted using their subject IDs. The data is useful in understanding how resource inflow and type of punishment affects individual resource extraction be- havior. The data could also be combined with other publicly available common pool resource datasets for a meta-analysis on individual behavior in the commons. (c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
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页数:11
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