Abstract
This article explores the effects of international adjudication on individual-level attitudes in territorial disputes. In particular, we investigate the micro-foundations for the argument that international court rulings provide political cover for governments settling disputes through unpopular territorial concessions. In an online survey conducted for this project, 494 Indian respondents were confronted with a fictitious foreign policy scenario. A randomized experiment embedded in the survey provides four major findings. First, international adjudication makes citizens more willing to support concessions in border disputes. Second, international courts influence the perceived fairness of comprosmise solutions. Third, legal conflict management mediates the emotional fallout of territorial concessions. Finally, we do not find any evidence for the claim that international adjudication reduces individual-level concerns over commitment problems. By focusing on individual-level data, this article provides an important contribution to the literature on international conflict management.
Appendix
The Foreign Policy Scenario
Below is the foreign policy scenario presented to survey respondents:
In this section, we will present to you a hypothetical foreign policy scenario involving India and [China/Pakistan]. In order to ensure the scientific validity of this study, the following scenario will remain abstract and not involve any real-world border dispute. After describing the situation, we will ask you for your opinion about a few policy options
Five years ago, the United Kingdom turned over three small islands in the Bay of Bengal to India.
These islands are roughly equal in size and uninhabited.
Before the United Kingdom announced its decision to relinquish the islands, both India and [China/Pakistan] claimed that the islands were rightfully theirs.
[China/Pakistan] was outraged when the United Kingdom announced its decision to hand over the islands to India.
[China/Pakistan] has now officially asked India to give up control over all three islands and to hand them over to [China/Pakistan].
Survey Questions
Dependent Variable: Support for Concessions
After a few weeks of internal deliberations, the Indian government has decided to give up two of the three islands to [China/ Pakistan] in order to resolve the dispute To what extent do you approve or disapprove of the Indian government’s decision to hand over two of the three islands to [China/Pakistan]?
OR
An international court has ruled that India has to give up two of the three islands to [China/Pakistan]. After receiving this verdict, the Indian government has decided to give up two of the three islands to [China/Pakistan] in order to resolve the dispute. To what extent do you approve or disapprove of the Indian government’s decision to hand over two of the three islands to [China/Pakistan] following the ruling of the court?
Strongly disapprove
Somewhat disapprove
Neither approve nor disapprove
Somewhat approve
Strongly approve
Dependent Variables: Perceived Fairness
What is the fairest solution to this dispute?
India should keep all three islands.
India should give all three islands to [China/Pakistan].
India should keep two islands and give one island to [China/Pakistan].
India should keep one island and give two islands to [China/Pakistan].
None of those options.
I don’t know.
Dependent Variables: Likely Consequences of Concessions
What are the likely consequences of India’s decision to give up two of the three islands to [China/Pakistan]? Please tell me how likely each of these consequences is:
Very unlikely | Somewhat unlikely | Neither likely not unlikely | Somewhat likely | Very likely | |
[China/Pakistan] will feel emboldened and make further territorial demands | 1 | 2 | 3 | 4 | 5 |
You will feel anger following this decision. | 1 | 2 | 3 | 4 | 5 |
You will consider it to be a national embarrassment. | 1 | 2 | 3 | 4 | 5 |
General Demographics
Age: In what year were you born?
Gender: Are you male or female?
Male
Female
Education: What is the highest level of education that you have received?
No formal education.
Incomplete Primary School.
Complete Primary School.
Incomplete Secondary School: technical/vocational type.
Complete Secondary School: technical/vocational type.
Incomplete Secondary School: university-preparatory type.
Complete Secondary School: university-preparatory type.
Some University-Level Education, without degree.
University-Level Education, with degree.
Income: How do you feel about your income these days? Which of the following statements comes closest to how you feel?
I am living comfortably on my present income.
I am coping on my present income.
I am finding it difficult on my present income.
I cannot survive on my present income.
Ideology: In politics people sometimes talk of “left” and “right.” Where would you place yourself on this scale, where 0 means the left and 10 means the right?
Left | Right | ||||||||||
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 88 Don’t know |
Interest in Politics: Some people seem to follow what is going on in government and public affairs most of the time, whether there’s an election going on or not. Others aren’t that interested. How about you? How frequently do you follow what’s going on in government and public affairs?
Most of the Time.
Some of the Time.
Only Now and Then.
Hardly at All.
Never.
Voting History: In talking to people about elections, we often find that a lot of people were not able to vote because they weren’t registered, they were sick, or they just didn’t have time. How about the parliamentary elections in 2014? Did you vote for a candidate during these elections?
Yes, I voted.
No, I didn’t vote.
I don’t remember.
Filter Question 1: Research in decision making shows that people, when making decisions and answering questions, prefer not to pay attention and minimize their effort as much as possible. Some studies show that over 50% of people don’t carefully read questions. If you are reading this question and have read all the other questions, please select the box marked “other.” Do not select “foreign policy,” “domestic politics,” or “conflict management.” Thank you for participating and taking the time to read through the questions carefully! What is this study about?
Domestic Politics
Foreign policy
Conflict Management
Other
Filter Question 2: How are you feeling right now? Although we would like to know how you are feeling, please select the second option below so we know you are paying attention.
Happy
Sad
Anxious
Other
Filter Question 3: While watching television, have you ever had a fatal heart attack?
Often
Some of the time
Only now and then
Hardly at all
Never
Robustness checks – controlling for treatment and demographics (China).
(Ordered) Logistic Regression | Model A1 Concessions | Model A2 Concessions (binary) | Model A3 Fairness | Model A4 Commitment Problems | Model A5 Anger | Model A6 Embarrassment |
---|---|---|---|---|---|---|
Treatment (Court-Condition = 1) | 1.092** (0.247) | 1.543** (0.332) | 0.680* (0.335) | 0.448* (0.244) | 0.009 (0.240) | 0.463* (0.240) |
Age | 0.098 (0.146) | 0.163 (0.190) | −0.023 (0.209) | 0.353* (0.152) | 0.092 (0.148) | 0.340* (0.149) |
Gender (Male 1/0) | −0.401 (0.292) | −0.167 (0.358) | −0.133 (0.408) | 0.187 (0.291) | 0.249 (0.288) | 0.777* (0.296) |
Education | −0.093 (0.130) | −0.134 (0.154) | −0.086 (0.166) | 0.059 (0.130) | −0.199 (0.122) | −0.201 (0.123) |
Income | −0.031 (0.146) | −0.101 (0.186) | 0.327 (0.200) | 0.060 (0.149) | 0.070 (0.148) | 0.323* (0.147) |
Ideology | −0.072 (0.053) | −0.065 (0.066) | −0.061 (0.068) | −0.051 (0.053) | 0.011 (0.053) | −0.011 (0.053) |
Voter | 0.367 (0.320) | 0.082 (0.406) | 0.020 (0.469) | −0.466 (0.319) | −0.136 (0.311) | −0.289 (0.312) |
Religion (Hindu = 1) | 0.214 (0.300) | −0.159 (0.372) | 0.663 (0.409) | 0.176 (0.300) | −0.213 (0.295) | −0.317 (0.292) |
Interest in Politics | 0.273* (0.149) | 0.351* (0.188) | 0.291 (0.204) | −0.352** (0.150) | −0.412** (0.157) | −0.254* (0.151) |
Trust in China | −0.915** (0.192) | −0.473* (0.236) | −1.449** (0.277) | 0.541** (0.183) | 0.609** (0.188) | 1.128** (0.195) |
Threat Perception (China) | −0.130 (0.169) | −0.367* (0.203) | −0.168 (0.212) | 0.456** (0.162) | 0.609** (0.163) | 0.101 (0.161) |
Constant | – | 1.726 (1.802) | 3.805 (1.931) | – | – | – |
Cut Point 1 | −4.200 (1.454) | – | – | 0.181 (1.518) | −1.304 (1.421) | −0.576 (1.452) |
Cut Point 2 | −2.562 (1.439) | – | – | 1.662 (1.503) | −0.203 (1.410) | 1.121 (1.444) |
Cut Point 3 | −2.101 (1.437) | – | – | 2.645 (1.502) | 1.206 (1.408) | 2.230 (1.446) |
Cut Point 4 | 0.179 (1.445) | – | – | 4.449 (1.520) | 2.606 (1.418) | 4.000 (1.461) |
Number of Observations | 241 | 241 | 214 | 240 | 241 | 241 |
Log-Likelihood | −317.74 | −126.51 | −111.56 | −308.31 | −327.54 | −323.59 |
*p ≤ 0.05, **p ≤ 0.01 in a one-tailed test.
Robustness checks – controlling for treatment and demographics (Pakistan).
(Ordered) Logistic Regression | Model A7 Concessions | Model A8 Concessions (binary) | Model A9 Fairness | Model A10 Commitment Problems | Model A11 Anger | Model A12 Embarrassment |
---|---|---|---|---|---|---|
Treatment (Court-Condition = 1) | 0.969** (0.251) | 1.314** (0.345) | 0.796** (0.312) | 0.147 (0.244) | −0.508* (0.242) | 0.573** (0.243) |
Age | 0.101 (0.155) | 0.177 (0.211) | 0.124 (0.191) | −0.103* (0.154) | −0.121 (0.148) | 0.062 (0.150) |
Gender (Male 1/0) | −0.406 (0.292) | −0.315 (0.398) | −0.412 (0.354) | 0.640* (0.296) | 0.238 (0.290) | 0.814** (0.284) |
Education | 0.175 (0.160) | 0.372* (0.226) | 0.039 (0.210) | −0.051 (0.141) | −0.168 (0.147) | −0.234 (0.150) |
Income | −0.082 (0.137) | 0.020 (0.184) | 0.215 (0.166) | −0.139 (0.137) | 0.024 (0.132) | −0.103 (0.133) |
Ideology | −0.126** (0.053) | −0.130* (0.070) | −0.065 (0.065) | −0.017 (0.054) | 0.019 (0.052) | 0.061 (0.053) |
Voter | −0.263 (0.364) | −0.116 (0.520) | 0.709 (0.546) | −0.002 (0.367) | 0.784* (0.361) | 0.320 (0.369) |
Religion (Hindu = 1) | −0.728 (0.289) | −0.993** (0.382) | −0.192 (0.378) | 0.406 (0.286) | 0.046 (0.286) | −0.147 (0.280) |
Interest in Politics | −0.014 (0.158) | −0.220 (0.217) | 0.125 (0.202) | −0.167 (0.153) | 0.049 (0.155) | −0.032 (0.152) |
Trust in Pakistan | −0.639** (0.171) | −0.629** (0.226) | −0.600** (0.216) | 0.644** (0.172) | 0.623** (0.171) | 0.423** (0.170) |
Threat Perception (Pakistan) | −0.238 (0.197) | −0.412 (0.256) | −0.070 (0.239) | 0.341* (0.191) | 0.539** (0.190) | 0.237 (0.185) |
Constant | – | 0.394 (2.190) | 0.527 (2.201) | – | – | – |
Cut Point 1 | −3.492 (1.700) | – | – | −0.092 (1.545) | 0.774 (1.557) | −1.315 (1.597) |
Cut Point 2 | −2.169 (1.690) | – | – | 1.214 (1.531) | 1.946 (1.553) | 0.032 (1.589) |
Cut Point 3 | −1.687 (1.688) | – | – | 2.010 (1.535) | 2.960 (1.561) | 0.929 (1.588) |
Cut Point 4 | 0.968 (1.692) | – | – | 3.677 (1.552) | 4.196 (1.576) | 2.345 (1.592) |
Number of Observations | 237 | 237 | 205 | 237 | 235 | 235 |
Log-Likelihood | −313.39 | −112.43 | −125.96 | −312.79 | −338.48 | −343.23 |
*p ≤ 0.05, **p ≤ 0.01 in a one-tailed test.
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