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The Impact of Policy on the Clustering of the Blockchain Industry

Evidence from GMM Estimates

  • Conference paper
  • First Online:
Data Science (ICPCSEE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1629))

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Abstract

Although local governments in China are encouraging the development of blockchain technology, the regional clustering of the blockchain industry still shows obvious differentiation. We use blockchain industry-related data during the period 2012–2019 to calculate the blockchain industrial clustering of each province in China. We find that the clustering state of the blockchain industry is quite different from the state of other industries and the situation of economic development in the same region. In less-developed regions, the blockchain industry is more prominent, which may benefit from local government management. We conduct an empirical analysis on the relationship between blockchain industrial clustering and regional government management using the generalized method of moments (GMM) of a dynamic panel. The results show that government management has a positive promoting effect on local blockchain industrial clustering as a whole, among which the promotion from economy, technology, infrastructure and policy is more significant.

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Acknowledgments

This work was supported by The National Key Research and Development Program of China (2020YFB1006104), and the Financial support from the Innovation and Talent Base for Digital Technology and Finance (B21038).

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Correspondence to Xiaotuo Qiao .

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Xu, X., Wu, Z., Qiao, X., Zhang, Y., Guo, H. (2022). The Impact of Policy on the Clustering of the Blockchain Industry. In: Wang, Y., Zhu, G., Han, Q., Zhang, L., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1629. Springer, Singapore. https://doi.org/10.1007/978-981-19-5209-8_32

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  • DOI: https://doi.org/10.1007/978-981-19-5209-8_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5208-1

  • Online ISBN: 978-981-19-5209-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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