Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic Farming
Within existing regulatory scholarship, limited attention is given to whether and how meso-level, or group, characteristics shape compliance. We advance understanding of meso-level regulatory dynamics by assessing how the composition of regulated groups shapes overall compliance levels within a regu...
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| Format: | Article |
| Language: | English |
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2023-08-01
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| Series: | International Review of Public Policy |
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| Online Access: | https://journals.openedition.org/irpp/3398 |
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| author | Saba Siddiki Christopher Frantz |
| author_facet | Saba Siddiki Christopher Frantz |
| author_sort | Saba Siddiki |
| collection | DOAJ |
| description | Within existing regulatory scholarship, limited attention is given to whether and how meso-level, or group, characteristics shape compliance. We advance understanding of meso-level regulatory dynamics by assessing how the composition of regulated groups shapes overall compliance levels within a regulated system, as well as compliance trends among system participants. Specifically, we employ agent-based modeling as a tool suited to understanding emergent behaviors to assess how variation in the social value orientations of farmers participating in the United States’ voluntary organic farming regulatory program may shape aggregate and sub-group compliance. We also assess how variation in sanctioning shapes compliance outcomes, shedding light on the interaction between participant motivation and sanctioning mechanisms. We conclude that, for compliance outcomes, the former is more decisive than the latter. The modeling exercise draws on an institutional grammar coding of regulatory design, survey, and interview data. In addition to reporting findings from the modeling exercise in the context of the organic farming regulatory domain, the paper offers insights about leveraging diverse forms of data to inform agent-based modeling, which is particularly appropriate for studying institutional (e.g., policy) and related behavioral dynamics in any governed setting. |
| format | Article |
| id | doaj-art-2bfb4021161a40d3ae0ee0204101c65d |
| institution | DOAJ |
| issn | 2679-3873 2706-6274 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | OpenEdition |
| record_format | Article |
| series | International Review of Public Policy |
| spelling | doaj-art-2bfb4021161a40d3ae0ee0204101c65d2025-08-20T02:47:37ZengOpenEditionInternational Review of Public Policy2679-38732706-62742023-08-01520323510.4000/irpp.3398Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic FarmingSaba SiddikiChristopher FrantzWithin existing regulatory scholarship, limited attention is given to whether and how meso-level, or group, characteristics shape compliance. We advance understanding of meso-level regulatory dynamics by assessing how the composition of regulated groups shapes overall compliance levels within a regulated system, as well as compliance trends among system participants. Specifically, we employ agent-based modeling as a tool suited to understanding emergent behaviors to assess how variation in the social value orientations of farmers participating in the United States’ voluntary organic farming regulatory program may shape aggregate and sub-group compliance. We also assess how variation in sanctioning shapes compliance outcomes, shedding light on the interaction between participant motivation and sanctioning mechanisms. We conclude that, for compliance outcomes, the former is more decisive than the latter. The modeling exercise draws on an institutional grammar coding of regulatory design, survey, and interview data. In addition to reporting findings from the modeling exercise in the context of the organic farming regulatory domain, the paper offers insights about leveraging diverse forms of data to inform agent-based modeling, which is particularly appropriate for studying institutional (e.g., policy) and related behavioral dynamics in any governed setting.https://journals.openedition.org/irpp/3398agent-based modelingorganic farming certificationcompliance motivationsregulatory designregulatory effectivenessinstitutional grammar |
| spellingShingle | Saba Siddiki Christopher Frantz Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic Farming International Review of Public Policy agent-based modeling organic farming certification compliance motivations regulatory design regulatory effectiveness institutional grammar |
| title | Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic Farming |
| title_full | Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic Farming |
| title_fullStr | Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic Farming |
| title_full_unstemmed | Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic Farming |
| title_short | Understanding the Effects of Social Value Orientations in Shaping Regulatory Outcomes through Agent-Based Modeling: An Application in Organic Farming |
| title_sort | understanding the effects of social value orientations in shaping regulatory outcomes through agent based modeling an application in organic farming |
| topic | agent-based modeling organic farming certification compliance motivations regulatory design regulatory effectiveness institutional grammar |
| url | https://journals.openedition.org/irpp/3398 |
| work_keys_str_mv | AT sabasiddiki understandingtheeffectsofsocialvalueorientationsinshapingregulatoryoutcomesthroughagentbasedmodelinganapplicationinorganicfarming AT christopherfrantz understandingtheeffectsofsocialvalueorientationsinshapingregulatoryoutcomesthroughagentbasedmodelinganapplicationinorganicfarming |