Could Government Data Openness Enhance Urban Innovation Capability? An Evaluation Based on Multistage DID Method

Yi Luo, Zhiwei Tang and Peiqi Fan
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Yi Luo: School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China
Zhiwei Tang: School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731, China
Peiqi Fan: School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731, China

Sustainability, 2021, vol. 13, issue 23, 1-16

Abstract: The wave of government data opening has gradually swept the world since it rose from the United States in 2009. The purpose is not to open government data, but to release data value and drive economic and social development through data accessibility. At present, the impact of academic circles on government open data mostly stays in theoretical discussion, especially due to the lack of empirical tests. Using the multistage difference-in-difference (DID) model, this paper analyzes the panel data from 2009 to 2016 by taking two batches of Chinese cities with open data released in 2014 and 2105 as samples to test the impact of government data opening on urban innovation ability. The results show that the opening of government data significantly improves urban innovation abilities. After considering the heterogeneity and fixed effects of urban characteristics, the opening of government data still significantly improves urban innovation ability and shows a greater innovation driving role in cities with high levels of economic development, human capital, and infrastructure. Based on this, this paper believes that we should continue to promote the opening of government data, release the value of data, and pay attention to the Matthew effect between cities that may appear in the era of big data.

Keywords: government data openness; difference-in-differences; urban development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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