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Citizens and Peace Mediations in Divided Societies: Identifying Zones of Agreement through a Conjoint Survey Experiment.

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Title: Citizens and Peace Mediations in Divided Societies: Identifying Zones of Agreement through a Conjoint Survey Experiment.
Authors: Loizides, Neophytos1 n.loizides@kent.ac.uk, Psaltis, Charis2, Morgan-Jones, Edward1, Sudulich, Laura3, Popp, Raluca1, Baykiz, Tekin4
Source: Journal of Conflict Resolution. Oct2022, Vol. 66 Issue 9, p1619-1649. 31p.
Subject Terms: Peace, Citizens, Conjoint analysis, Power sharing governments, Federal courts
Abstract: How can areas of potential agreement be identified and endorsed by citizens in protracted conflicts? In an effort to answer this question, the article introduces a conjoint experiment across the ethnically and territorially split communities of Cyprus and tests a range of hypotheses about the structure of public opinion with respect to a future settlement. We test hypotheses on security and credible commitments, the legacy of past negotiations, as well as transitional justice mechanisms following United Nations plans to mediate the conflict between Greek and Turkish Cypriots. Contrary to conventional wisdom, we demonstrate that a zone of possible agreement (ZOPA) exists from a public opinion perspective. We specifically explore power-sharing in the context of security, provisions for the internally displaced, federal courts, and territorial readjustments and highlight their relative importance for public opinion interventions across conflict-ridden societies. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Conflict Resolution is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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PubType: Academic Journal
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  Data: Citizens and Peace Mediations in Divided Societies: Identifying Zones of Agreement through a Conjoint Survey Experiment.
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  Data: <searchLink fieldCode="DE" term="%22Peace%22">Peace</searchLink><br /><searchLink fieldCode="DE" term="%22Citizens%22">Citizens</searchLink><br /><searchLink fieldCode="DE" term="%22Conjoint+analysis%22">Conjoint analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Power+sharing+governments%22">Power sharing governments</searchLink><br /><searchLink fieldCode="DE" term="%22Federal+courts%22">Federal courts</searchLink>
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  Data: How can areas of potential agreement be identified and endorsed by citizens in protracted conflicts? In an effort to answer this question, the article introduces a conjoint experiment across the ethnically and territorially split communities of Cyprus and tests a range of hypotheses about the structure of public opinion with respect to a future settlement. We test hypotheses on security and credible commitments, the legacy of past negotiations, as well as transitional justice mechanisms following United Nations plans to mediate the conflict between Greek and Turkish Cypriots. Contrary to conventional wisdom, we demonstrate that a zone of possible agreement (ZOPA) exists from a public opinion perspective. We specifically explore power-sharing in the context of security, provisions for the internally displaced, federal courts, and territorial readjustments and highlight their relative importance for public opinion interventions across conflict-ridden societies. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Conflict Resolution is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/00220027221108221
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        Text: English
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              Text: Oct2022
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