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作 者:Jun Cai Kai Xin Yahong Zhou
机构地区:[1]School of Management,Huazhong University of Science and Technology,Wuhan,Hubei,430074,China [2]School of Economics,Shanghai University,Shanghai,200444,China [3]Shanghai University of Finance and Economics,Shanghai,200433,China
出 处:《Journal of Management Science and Engineering》2021年第3期249-267,共19页管理科学学报(英文版)
基 金:supported by the Key Project of the National Natural Science Foundation of China(Grant No.71833004);the National Natural Science Foundation of China(Grant No.71471108);the Fundamental Research Funds for the Central Universities(HUST:2021WKYXQN010).
摘 要:We propose a simple-to-implement dynamic panel data method to evaluate the impacts of place-based policies.The idea is to exploit both the cross sectional dependence and the serial correlation within a panel and implement a semi difference-in-difference decomposition.Different from the method by Hsiao et al.(2012),the proposed model is easy to implement statistical inferences and can incorporate multiple treated groups at different time thresholds.We use the proposed method to explore the effect of the Free Trade Zone(FTZ)policy implemented in Shanghai at the end of 2013 on local GDP growth rate and compare it with that from Hsiao et al.(2012).The empirical results show that the FTZ does have a positive effect on the local GDP growth rate and it adds 1:21:8 percent point to the growth rate of the GDP per capita for Shanghai in 2014 which is about one fourth to one third of the total GDP growth rate per capita.This effect largely comes from the growth of the tertiary sector.The results lend support to the duplication of FTZ policy to other cities and provinces in China.
关 键 词:Dynamic panel model DIFFERENCE-IN-DIFFERENCE Free trade zone GDP growth Treatment effect
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