利用合成控制法实现空港经济区的经济效应和差距

Yiying Chao, Gexin Tian, Xuefeng Wang, Yin Gu
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摘要

本研究采用合成控制法(SCM)研究了空港经济区(AEZ)对城市的经济影响。中小城市如何根据自身特点制定有效的临空经济区战略规划是一个重要课题。各城市已开始模仿经济规模较大城市的经济特区成功经验,但往往无法复制相同的路径。此外,由于缺乏随机抽样和随机分配待遇,目前的方法很可能会降低因果关系论证的可靠性。单片机可以解决这一问题。在本研究中,单片机被用于研究 2000-2016 年期间中国 37 个中小城市的面板数据。结果表明,在我们的处理组样本中,机场的存在对经济实力较强的城市具有显著的正向经济效应,而对经济实力较弱的城市具有微弱的正向效应。在研究这种差异的因果机制时,我们发现,从长期发展的角度来看,经济特区布局的产业类型与城市主导产业的匹配度越高,经济发展越好。此外,由于经济特区植根于特定的社会经济背景,有时很难将成功经验应用于欠发达城市的经济特区。我们的研究采用了一种新的政策评估方法,对决策者具有重要意义。
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Economic Effect and Disparity of Airport Economic Zones Utilizing the Synthetic Control Method
This study investigates the economic impact of an airport economic zone (AEZ) on a city using the synthetic control method (SCM). It is an important issue for small-sized and medium-sized cities to make effective strategic plans for AEZs according to their own characteristics. Cities have begun to imitate the successful experiences of AEZs in cities with larger economies, but they often fail to replicate the same path. Moreover, the current methods are likely to reduce the reliability of the causality argument because of the lack of random sampling and random allocation of treatment. The SCM can solve this problem. In this research, the SCM was used to investigate panel data for 37 small- and medium-sized cities in China for the period 2000–2016. The results showed that the presence of an airport had a significant positive economic effect on cities with a higher economic strength and a weak positive effect on cities with a lower economic strength in our treatment group sample. In investigating the causal mechanism for this disparity, we found that the higher the match between the types of industries laid out in the AEZ and the city’s dominant industries, the better the economic development from a long-term development perspective. In addition, since AEZs are embedded in specific socio-economic contexts, it is sometimes difficult to apply successful experiences to AEZs in less developed cities. Our research utilized a new policy evaluation method and has significant implications for decision-makers.
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