Paul Sabatier與同儕的倡導聯盟架構(advocacy coalition framework, ACF)與政策導向學習(policy-oriented learning)對於政策變遷研究有很重要的貢獻;惟本研究指出,該模式過於侷限在政策導向學習,導致對其他類型的學習解釋不足。本研究針對倡導聯盟架構的上述問題,將多層次學習—組織學習、組織間學習與社會學習納入倡導聯盟架構,並利用法條沿革與個案研究,探討並區分多層次學習對我國都市更新條例之政策變遷過程、原因與影響。研究結果顯示,增加多層次學習的倡導聯盟架構,對於我國都市更新條例的政策變遷有較好的解釋能力,尤其是不同學習對於政策變遷的影響。未來應致力如何將學習的概念更完整地融入政策過程,並藉由更多的個案累積,探討理論修正的可能性。
Paul Sabatier and associates' Advocacy Coalition Framework (ACF) and policyoriented learning have great contributions to the study of policy change. However, this study points out that the ACF is limited to policy-oriented learning and therefore neglects other types of learning. The study uses multi-level learning-individual learning, inter-orgnizational learning, and social learning to expand policy-oriented learning to multi-level learning; and also utilizes the methods of content analysis, case study, in-depth interview and ACF to study and to distinct the impact of multileveling learning on the reasons, process, and impacts of policy change of the Urban Renewal Act. The study results show that the ACF with multi-level learning have better explanation ability for the Taiwan case, which shows the potentials to integrate multi-level learning into policy change, especially the influence of learning on policy change. Future studies should endeavor on more fully integrating learning into the policy process, as well as on theory modification with more case studies.