Experimentation-based Policymaking for Urban Regeneration in Shenzhen, China

D. Tong, Shuang Yang, Yani Lai
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Abstract

A growing appreciation of the potential benefits of experimentation to tame the complexities of urban transformation has led to an increase in related research activity. Building on a “practice-to-policy” experimentation-based framework, this paper investigates the adaptive policymaking process for urban regeneration in Shenzhen since the 2000s. It finds that “explorative experimentation” is used to identify a general direction in the absence of a clear route for the policy process, while “generative experimentation” is sequentially dedicated to specific issues for the improvement of the entire policy package within a particular reform. We argue that understanding the successive roles or hybrid functions of these two types of experiment adds new insights to the development rationales for Shenzhen's urban regeneration and provides inspiration for an experimental model of urban governance. Governments and policymakers can benefit from the experimentation-based approach, as presented in the Shenzhen case, to pursue policy innovation embedded in local contexts.
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基于实验的深圳城市更新政策制定
人们日益认识到通过实验来控制城市转型的复杂性的潜在好处,这导致了相关研究活动的增加。基于“从实践到政策”的实验框架,本文研究了2000年以来深圳城市更新的适应性政策制定过程。研究发现,“探索性实验”用于在政策过程缺乏明确路线的情况下确定总体方向,而“生成性实验”则依次致力于在特定改革中改善整个一揽子政策的具体问题。我们认为,理解这两种类型的实验的连续角色或混合功能,为深圳城市更新的发展原理提供了新的见解,并为城市治理的实验模式提供了灵感。政府和政策制定者可以从基于实验的方法中受益,正如深圳案例所展示的那样,在当地环境中进行政策创新。
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