Abstract
The data contains 716 individual decisions and responses from a lab-in-field experiment and an exit questionnaire that were conducted in Denmark, Spain, and Ghana. Individuals were initially asked to perform a small effort task (i.e., correctly counting the number of 1’s and 0’s in a page) to earn money and subsequently asked how much of their earnings they were willing to donate to BirdLife International to conserve Danish, Spanish, and Ghanaian habitats of the Montagu's Harrier, a migratory bird. The data is useful in understanding individual willingness-to-pay to conserve the habitats of the Montagu's Harrier along its flyway and could aid policymakers in having a clearer and more complete idea of support for international conservation. Among other things, the data can be used to look at the effect of individual socio-demographic characteristics and environmental and donation preferences on actual donation behavior.
Keywords: Economic experiments, Dictator game, Information, International collaboration
Specifications Table
Subject | Behavioral Finance and Economics, Microeconomics, Economics |
Specific subject area | Individual donations to BirdLife International to conserve habitats of the Montagu's Harrier. |
Type of data | Table (38 variables, 716 observations) |
How the data were acquired | Data was acquired through lab-in-field experiments in Denmark, Spain, and Ghana. Two experiments were conducted: (1) a small effort task and (2) a dictator game. Copies of the consent form, experiment instructions, and exit questionnaire (in English) are available as supplementary materials of the original article [1]. Danish and Spanish translations are available upon request. Experiments in all three countries were run by hand. Each country had an instructor, who interacted with the participants, and an experimenter, who paid the participants and communicated with the experimenters in the other two countries. All instructors and experimenters were trained at the same time in Denmark. |
Data format | Raw |
Description of data collection | Participants were recruited from a database of experiment participants in Denmark and Spain, and through flyers and in-class announcements in Ghana. Participants were randomly assigned into experiment treatments. During the experiment, participants were not allowed to communicate with one another. Participants were only allowed to communicate with the instructor. Participants were only known by their subject ID number. |
Data source location | The experiments were conducted in three countries:Denmark
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Data accessibility | Repository Name: Mendeley Data Data identification number: 10.17632/xfhdfgps43.2 Direct URL to data: https://data.mendeley.com/datasets/xfhdfgps43/2[2] |
Related research article | M. Vogdrup-Schmidt, A.L. Abatayo, N. Strange, J.F. Shogren, B.J. Thorsen, Factors affecting support for transnational conservation targeting migratory species. Ecological Economics. 157 (2019) 156-164. https://doi.org/10.1016/j.ecolecon.2018.11.011. [1] |
Value of the Data
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The data is useful to understand individual willingness-to-pay to conserve habitats of migratory species.
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The data is useful for academics, researchers, and policymakers who want to understand what factors affect support for international conservation as well as for policymakers and legislative practitioners working on designing international agreements on conservation along migratory flyways.
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The data is useful for international non-governmental organizations whose major funding sources come from individual donations.
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The data can provide insight into support for international collaboration for the conservation of endangered migratory species.
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The data can be used to understand which individual characteristics, donation preferences, and environmental preferences affect support for international conservation.
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The data can be combined with other data on small effort task and dictator game experiments around the world to make international comparisons and to understand an individual's willingness to do small tasks to earn money and then donate part of their earnings.
1. Objective
The data was obtained to study individual donations toward international conservation and how these donations could change under different signals regarding how much others are giving. We focused on the conservation of the habitats of the Montagu's Harrier, an endangered species that migrates from Denmark to Spain to Ghana for wintering and back to Denmark for breeding. The data allows the reproduction of all the statistical analysis and results of the original article, and hence, contributes to a more open science. The data article adds value to the published article [1] and related studies on support for conservation within and efforts across borders, by making a unique data set available for comparative and deeper exploratory studies.
2. Data Description
2.1. Downloading the Data
A zip file containing a ReadMe document, a Codebook in text format, 4 Stata do-files, a dataset in DTA format, the same dataset in CSV format, and 12 supplementary material files in PDF can be downloaded from Mendeley Data. The total size of the data file in DTA and CSV formats are 64KB and 148 KB, respectively.
2.2. Reading the Data
The data was created and analyzed using Stata/MP 13.0 for Mac (64-bit Intel) and is compatible with any Stata/MP or Stata/SE versions 13.0 and higher for both Mac and Windows. The data can also be read in R with the “haven” package and in Python with Pandas. To use the data, unzip the downloaded zip file and import the file named “data.dta” in either Stata or R. The data is labelled in Stata, but a codebook is provided for non-Stata users. To allow data use beyond Stata, R, and Python, we have also included a CSV version of the dataset.
To run all the do-files in Stata, open “00 DIR_Mac.do” for Mac users and “00_DIR_Win.do” for Windows users, change the directory of the main folder (i.e., Line 57) to point to where your unzipped folder is located. For Mac users, you can then run the entire do-file. This should automatically install all needed programs and run all analysis conducted for the original article. For Windows users, save and close the file after changing the directory. When you run the do-files for the analysis conducted in the original article (i.e., “01 Analysis.do” and “02 Graphs.do”), first run the command “do 00_DIR_Win.do” (i.e., Line 18) before running the rest of the do-file.
2.3. Structure of the Data
The data is in long format. Each column is a variable, and each row is a participant. The data contains 38 variables and 716 observations. For anonymity, each participant is given a subject ID number (i.e., “subjectid”). Subjects are also identified based on where they had the experiment (i.e., “countryid==1” if Denmark, “countryid==2” if Spain, and “countryid==3” if Ghana), the experiment treatment they were in (i.e., “maintid” and “treatid”) which corresponds to the session they were in (i.e., “sessionid”). We provide more details regarding the treatment and the sessions below. Table 1 provides a description of all variables in the dataset. For variables related to the exit questionnaire, the actual questions are available as a supplementary material uploaded in Mendeley Data.
Table 1.
Variable Name | Storage Type | Display Format | Variable Label |
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subjectid | byte | %10.0g | Subject ID Number In Treatment |
smalleff | int | %10.0g | Answer to Small Effort Game |
mistakes | byte | %10.0g | Deviation from Correct Answer in Small Effort Game |
dictokens | byte | %10.0g | Token Endowment for Dictator Game |
donated | byte | %10.0g | Amount Donated by Participant |
kept | byte | %10.0g | Amount Kept by Participant |
session | byte | %10.0g | Session ID |
countryid | long | %8.0g | Country ID |
maintid | long | %8.0g | Treatment ID |
treatid | long | %8.0g | Treatment ID + Country |
signal | float | %9.0g | Signal Given to Participants |
percentgive | float | %9.0g | Percentage Given |
percentkept | float | %9.0g | Percentage Kept |
age | byte | %10.0g | Age of Participant |
gender | byte | %10.0g | Gender of Participant |
believe | byte | %10.0g | Believe that Others Exist |
don_locchar | byte | %8.0g | Previously Donated to Local Community |
don_church | byte | %8.0g | Previously Donated to Church |
don_genchar | byte | %8.0g | Previously Donated to Humanitarian |
don_locenvi | byte | %8.0g | Previously Donated to Envi Project |
don_natenvi | byte | %8.0g | Previously Donated to National Envi Org |
don_intenvi | byte | %8.0g | Previously Donated to International Envi Org |
spent_money | double | %10.0g | Money Donated Last Year |
spent_currency | str3 | %9s | Currency of Money Donated Last Year |
spent_time | double | %10.0g | Time Donated Last Year |
look_birds | byte | %17.0g | Enjoy Looking at Birds |
conserve_envi | byte | %17.0g | Conserve the Environment |
mbirds | byte | %17.0g | Look at Bird in Nature |
birdlife | byte | %17.0g | Familiar with BirdLife International |
dic_all | byte | %17.0g | Conservation will happen in all countries |
dic_iff | byte | %17.0g | Conservation will happen only if all countries |
dic_but1 | byte | %17.0g | Conservation will not happen if at least one country |
rank_natgov | byte | %10.0g | Rank – Trust in National Government, 1 highest |
rank_pubinst | byte | %10.0g | Rank – Trust in Public Institution, 1 highest |
rank_local | byte | %10.0g | Rank – Trust in Local City County, 1 highest |
rank_int | byte | %10.0g | Rank – Trust in International NGO, 1 highest |
rank_people | byte | %10.0g | Rank – Trust in People, 1 highest |
rank_business | byte | %10.0g | Rank – Trust in Private Company, 1 highest |
Table 2 provides summary statistics (i.e., number of observations, mean, standard deviation, minimum value, and maximum value) for each of the variables the dataset. The variable “spent_currency” is a string and contains 237 observations with “DKK”, 237 observations with “EUR’ and 248 observations with “GHS”. DKK, EUR, and GHS stand for Danish krone, euro, and Ghanian cedi, respectively. All countries had 20 sessions, and all sessions had 12 participants each, except for Session 13 in Denmark (which only had 10 participants) and Session 15 in Denmark and Spain (which only had 11 participants each). Hence, we have 716 participants across three countries.
Table 2.
Variable Name | Obs | Mean | Std. Dev. | Min | Max |
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subjectid | 716 | 6.49 | 3.45 | 1 | 12 |
smalleff | 716 | 185.60 | 7.88 | 86 | 264 |
mistakes | 716 | 2.02 | 7.62 | 0 | 100 |
dictokens | 716 | 19.66 | 1.47 | 0 | 20 |
donated | 716 | 4.95 | 4.85 | 0 | 20 |
kept | 716 | 14.72 | 4.98 | 0 | 20 |
session | 716 | 10.48 | 5.78 | 1 | 20 |
countryid | 716 | 2.00 | 0.82 | 1 | 3 |
maintid | 716 | 2.85 | 1.20 | 1 | 4 |
treatid | 716 | 3.30 | 1.74 | 1 | 6 |
signal | 322 | 43.08 | 18.76 | 15 | 77.5 |
percentgive | 716 | 25.22 | 24.65 | 0 | 100 |
percentkept | 716 | 74.64 | 24.79 | 0 | 100 |
age | 713 | 22.50 | 3.64 | 2 | 56 |
gender | 712 | 0.52 | 0.50 | 0 | 1 |
believe | 709 | 0.81 | 0.39 | 0 | 1 |
don_locchar | 714 | 0.43 | 0.50 | 0 | 1 |
don_church | 714 | 0.23 | 0.42 | 0 | 1 |
don_genchar | 714 | 0.36 | 0.48 | 0 | 1 |
don_locenvi | 714 | 0.12 | 0.33 | 0 | 1 |
don_natenvi | 714 | 0.08 | 0.26 | 0 | 1 |
don_intenvi | 714 | 0.13 | 0.34 | 0 | 1 |
spent_money | 710 | 270.34 | 747.36 | 0 | 10000 |
spent_curr∼y | N/A | N/A | N/A | N/A | N/A |
spent_time | 687 | 57.32 | 179.45 | 0 | 1512 |
look_birds | 712 | 3.22 | 0.72 | 0 | 4 |
conserve_e∼i | 711 | 2.90 | 1.00 | 0 | 4 |
mbirds | 711 | 2.00 | 1.13 | 0 | 4 |
birdlife | 709 | 1.31 | 0.90 | 0 | 4 |
dic_all | 708 | 2.44 | 1.22 | 0 | 4 |
dic_iff | 705 | 2.70 | 1.24 | 0 | 4 |
dic_but1 | 703 | 1.92 | 1.18 | 0 | 4 |
rank_natgov | 703 | 4.32 | 1.75 | 0 | 9 |
rank_pubinst | 704 | 2.84 | 1.30 | 1 | 7 |
rank_local | 702 | 3.88 | 2.39 | 0 | 54 |
rank_int | 706 | 2.36 | 1.46 | 1 | 9 |
rank_people | 701 | 2.53 | 1.57 | 1 | 10 |
rank_busin∼s | 703 | 3.88 | 1.89 | 1 | 10 |
3. Experimental Design, Materials and Methods
3.1. Experiment Design
Fig. 1 provides an overview of our experimental design. Participants engage in two activities: a small effort task and a dictator game. In the small effort task, individuals are told to count the number of 1’s in a page filled with 1’s and 0’s. For instance, in the series “00000111010101010101”, there are 9 1’s. For each deviation from the correct answer, a participant loses 1 E$ (experimenter dollar) from the 20 E$ they were initially given. All participants had 5 minutes to complete this activity. There were 186 1’s (see the file “SM – 02 SmallEffort S” uploaded in Mendeley Data [2]).
Participants were informed of their earnings after Activity 1. They were then asked how much of their earnings they would like to donate to conserve the habitats of the Montagu's Harrier (i.e., Activity 2). Participants were informed that the amounts donated were summed up and donated to BirdLife International, an organization known to engage in conservation work related to migratory bird species like the Montagu's Harrier. Apart from this, a photo of the Montagu's Harrier and its habitat, and the information given at each treatment, participants were not given other information regarding the bird or its habitat (i.e., no information was given regarding its rate of decline or the urgency to help it). All participants received a certificate of donation. A copy of this certificate is available as a supplementary material uploaded in Mendeley Data.
In Activity 2, participants were given different information depending on which treatment the session to which they were randomly assigned. Table 3 describes each of our Activity 2 treatments. Each participant is allowed to only join one session and is only assigned one treatment. An English version of all experiment instructions is available as a supplementary material uploaded in Mendeley Data.
Table 3.
Treatment Name | Treatment Description |
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After Activity 2, participants are asked to answer a short exit questionnaire which collected their socio-demographic information and their environmental and donation preferences. In the exit questionnaire, participants were asked if they have donated time or money in the last year (and how much, if they have), and their level of agreement towards sentences like “I conserve the environment” and “I look at birds in nature”. While the participants answered the exit questionnaire, the experimenter prepared both the participant payment and the donation to BirdLife International. At the end of each session, participants knew that a donation to BirdLife International had been made.
3.2. Pilot Testing
This experiment is one of several experiments conducted at the same time, using the same infrastructure (see Abatayo and Thorsen [3], Bull, et al. [4], and Abatayo, et al. [5]). To ensure all experiments proceeded as planned and risks are properly managed, a pilot study with all the instructors and experimenters for all experiments was conducted in Denmark with Danish, Spanish, and Ghanaian participants. No data was collected during the pilot. The pilot tested the logistical infrastructure in place and was used to time each experiment. Back-up plans were created in case of logistical failure (e.g., no internet or electricity in Ghana).
3.3. Experimenter Training
All sessions in all countries had an instructor and an experimenter, and all instructors and experimenters were trained in Denmark prior to the experiment. The instructor interacted with the experiment participants. They gave instructions, answered questions, and collected participant decision sheets for Activities 1 and 2. Instructors were locals of the country that the experiment was being conducted, and they were able to speak the local language and dialect (i.e., in Spain, the instructor was able to speak both Catalan and Spanish since the experiments were conducted in Barcelona). In contrast, the experimenter only interacted with the participants at the end of the experiment when paying the participants. Experimenters received the participant decision sheets from the instructor and inputted the decisions in a Google Sheet shared by all experimenters in all three countries.
3.4. Experiment Materials
Fig. 2 provides a sample of the Google Sheet file that is shared across experimenters in Denmark, Spain, and Ghana. Each session is a separate file which was then appended across session and merged with answers from the exist questionnaire. The experimenter fills in details for everything highlighted in yellow. Participant answers to Activity 1 is in the second column. The file automatically computes the deviation from the correct answer and the corresponding punishment because of the deviation. In Activity 2, participants start off with the E$ displayed in the column “Tokens for Dictator”.
Other experiment materials, such as the donation certificate and the photo of the habitats of the Montagu's Harrier, can be found as a supplementary material uploaded in Mendeley Data.
3.5. Recruitment of Participants
Experiments were conducted at the University of Copenhagen (Denmark), Pompeu Fabra University (Spain), and University of Ghana (Ghana), and participants were university students. In Denmark and Spain, participants were recruited using the Online Recruitment System for Economic Experiments (ORSEE) [6]. ORSEE contains a database of participants from which 100 participants are randomly selected and invited to a session. In each session, 36 slots are available for sign-up on a first come first serve basis. Once the slots are filled, participants who have not signed up are “put back” in the database, in which they will have a chance to be one of 100 that will be selected for another session. A similar system, albeit manual, was implemented in Ghana. Students were recruited using flyers and in-class advertisements and then randomly invited to sessions.
3.6. Experiment Protocol
Experiments were conducted in accordance to standard experimental economics protocols. Participants in Denmark and Spain were individually seated in tables with partitions, while participants in Ghana were seated in two seats apart. Before the start of the experiment, participants were asked to put their belongings aside and switch their mobile phones to silent mode. Participants were only allowed to communicate with the Instructor and they had to wait to be called by the Instructor before speaking. All participants signed a consent form. No personal identifying information of the participants were kept. The experiments were conducted in April 2014.
Ethics Statements
Our research involved human subjects. In accordance with the Danish legislation, we obtained a clearance under the Danish Protection Act (REF: 2015-15-0117) to process the data obtained from our experiments. We confirm that the relevant informed consent was obtained from our subjects and that participants were advised that they were free to leave at any time during the experiment.
CRediT authorship contribution statement
Anna Lou Abatayo: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Project administration. Mathias Vogdrup-Schmidt: Conceptualization, Methodology, Investigation. Jason F. Shogren: Conceptualization, Methodology, Validation, Writing – review & editing. Niels Strange: Conceptualization, Methodology, Validation, Resources, Writing – review & editing, Supervision, Funding acquisition. Bo Jellesmark Thorsen: Conceptualization, Methodology, Validation, Resources, Writing – review & editing, Supervision, Funding acquisition.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
The authors are grateful to Isaac Ankamah Yeboah, Josep Renard Segarra, Elvira Rey Redondo, Gianluca Vassallo, Lea Skræp Svenningsen, Mathilde Lund Holm and Maria Elleman Hansen at the University of Copenhagen; Kasper Thorup and Carsten Rahbek at the Center for Macroecology, Evolution, and Climate, University of Copenhagen; Miguel Bastos Araújo at National Museum of Natural Sciences, Spain; Rosemarie Nagel at the Pompeu Fabra University; Wisdom Akpalu and Wisdom Takumah at the University of Ghana, Legon; Finn Tarp at UNU-WIDER.
Funding: This work was supported by the Danish National Research Foundation (grant no. DNRF96) for the Center for Macroecology, Evolution, and Climate, and the European Research Council under the European Community's Program “Ideas” (Call Identifier ERC- 2013-StG/Grant No. 336703, Project RISICO, “Risk and uncertainty in development and implementing climate change policies”).
Data Availability
References
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Associated Data
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