Cited 0 time in
AHP와 IPA 분석을 활용한 친환경농업 정책우선순위 분석
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 서환석 | - |
| dc.contributor.author | 황재현 | - |
| dc.date.accessioned | 2023-04-28T02:41:03Z | - |
| dc.date.available | 2023-04-28T02:41:03Z | - |
| dc.date.issued | 2019-09 | - |
| dc.identifier.issn | 1229-9154 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/7705 | - |
| dc.description.abstract | The objectives of this study were to review the policies of environmentfriendly agriculture to establish a virtuous cycle in production, distribution, and consumption based on consumer trust and to suggest implications for what is needed to foster environment-friendly agriculture in the future along with the diagnosis of related policies and projects. To achieve these objectives, this study examined relative weights and priorities of the evaluation factors for environment-friendly agriculture policies. Moreover, this study conducted an importance-performance analysis (IPA) on environmentfriendly agricultural policies and projects targeting farms. The results of AHP analysis on the relative importance and priority of the key criteria (1st hierarchy) revealed that the magnitude of importance was in the order of distribution system and public plate (0.391), human resource and governance (0.233), promoting environment-friendly consumption (0.218), and enhancement of production structure (0.157). These results can be interpreted that policy measures are needed for securing a stable market and increasing consumption in the public sector. It is necessary to improve the constitution of local agriculture by securing manpower than can lead to agriculture and establishing governance among subjects. The results of the IPA showed that the areas that should be maintained and strengthened are policies and projects for stable production, stable market, and consumption promotion. Secondly, it was also found that the areas that should be mainly invested are policies and projects for infrastructures such as manpower, technology, and processing. Thirdly, the areas that should be improved gradually are mainly policies and projects to diversify governance and sales channels. Lastly, areas to be maintained are policies and projects for traceability, monitoring, and local foods. Environment-friendly agriculture policies and projects should be concretely promoted in the long term by clarifying the goals of policies such as providing safe food to consumers, securing competitiveness in rural areas, and preserving ecological environment. | - |
| dc.format.extent | 26 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국농식품정책학회 | - |
| dc.title | AHP와 IPA 분석을 활용한 친환경농업 정책우선순위 분석 | - |
| dc.title.alternative | Analyzing Policy Priorities for Environment-Friendly Agriculture using AHP and IPA | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.30805/KJAMP.2019.46.3.444 | - |
| dc.identifier.bibliographicCitation | 농업경영.정책연구, v.46, no.3, pp 444 - 469 | - |
| dc.citation.title | 농업경영.정책연구 | - |
| dc.citation.volume | 46 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 444 | - |
| dc.citation.endPage | 469 | - |
| dc.identifier.kciid | ART002509444 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Environment-friendly Agriculture Policies and Projects | - |
| dc.subject.keywordAuthor | Analytic Hierarchy Process (AHP) | - |
| dc.subject.keywordAuthor | Importance-Performance Analysis (IPA) | - |
| dc.subject.keywordAuthor | Priority | - |
| dc.subject.keywordAuthor | and Policy Direction | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
