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将倡导联盟框架应用于野生动物管理:解释日本减轻损害的政策变化。

Applying the advocacy coalition framework to wildlife management: Explaining policy change for damage mitigation in Japan.

作者信息

Koga Tatsuya

机构信息

Department of Forest Policy and Economics, Forest and Forestry Products Research Institute, Tsukuba, Ibaraki, Japan.

出版信息

PLoS One. 2025 Sep 12;20(9):e0331966. doi: 10.1371/journal.pone.0331966. eCollection 2025.

Abstract

Case studies in wildlife management and its policy often lack a unified analytical framework, there are few studies that have systematically investigated policy processes and pathways of policy change. This paper examines Japan's ungulate (deer, wild boar) management policy as a case study, applying the Advocacy Coalition Framework (ACF) to the study of wildlife management to elucidate the mechanisms driving policy changes in ungulate management while evaluating the framework's effectiveness. Insights into policy subsystems, policy beliefs, policy-oriented learning, and both external and internal perturbations in the advocacy coalition framework may be useful in understanding the policy change in wildlife management. Data were collected through diet records, official documents, newspaper articles, and semi-structured interviews with stakeholders. Using this data, discourse network analysis was employed to identify coalition structures, resources and policy-oriented learning of two advocacy coalitions-the Hunting Coalition and the Protection Coalition-and events leading to policy change were identified. The analysis revealed that between the 1990s, when ungulate damage became severe, and 2014, the core attributes of Japan's government program transitioned from a centralized protection-focused policy to a decentralized policy promoting hunting. This shift was driven by four pathways proposed in the ACF's bottom-up policy change hypothesis: policy-oriented learning, internal perturbations, external perturbations, and negotiated agreements. These findings highlight the utility of the ACF as an analytical framework. This study suggests that the ACF is a valuable tool for understanding the complex dynamics of wildlife management.

摘要

野生动物管理及其政策方面的案例研究往往缺乏统一的分析框架,很少有研究系统地调查政策过程和政策变化的路径。本文以日本有蹄类动物(鹿、野猪)管理政策为例进行研究,将倡导联盟框架(ACF)应用于野生动物管理研究,以阐明推动有蹄类动物管理政策变化的机制,同时评估该框架的有效性。对倡导联盟框架中的政策子系统、政策信念、政策导向学习以及外部和内部干扰的洞察,可能有助于理解野生动物管理中的政策变化。数据通过饮食记录、官方文件、报纸文章以及对利益相关者的半结构化访谈收集。利用这些数据,采用话语网络分析来识别两个倡导联盟——狩猎联盟和保护联盟——的联盟结构、资源和政策导向学习,并确定导致政策变化的事件。分析表明,从20世纪90年代有蹄类动物破坏变得严重到2014年期间,日本政府计划的核心属性从以集中保护为重点的政策转变为促进狩猎的分散政策。这一转变是由ACF自下而上的政策变化假设中提出的四条路径驱动的:政策导向学习、内部干扰、外部干扰和协商协议。这些发现凸显了ACF作为一个分析框架的效用。本研究表明,ACF是理解野生动物管理复杂动态的宝贵工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba12/12431195/07f728d953f4/pone.0331966.g001.jpg

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