Latest revision as of 00:03, 23 March 2021

Abstract

When cities develop rapidly, there are negative effects such as population expansion, traffic congestion, resource shortages, and pollution. It has become essential to explore new types of urban development patterns, and thus, the concept of the &ldquo

smart city&rdquo

has emerged. The purpose of this paper is to investigate the links between smart city policies and urban green total factor productivity (GTFP) in the context of China. Based on panel data of 200 cities in China from 2007&ndash

2016 and treating smart city policy as a quasi-natural experiment, the paper uses a difference-in-differences propensity score matching (PSM-DID) approach to prevent selection bias. The results show: (a) Smart city policies can significantly increase urban GTFP by 16% to 18%

(b) the larger the city, the stronger and more significant this promotion.

Document type: Article

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/ijerph16132396 under the license https://creativecommons.org/licenses/by

• http://europepmc.org/articles/PMC6650913 under the license http://creativecommons.org/licenses/by/3.0/

• https://www.mdpi.com/1660-4601/16/13/2396/pdf

• https://www.mdpi.com/1660-4601/16/13/2396,

https://doaj.org/toc/1660-4601 under the license cc-by

• https://www.mdpi.com/1660-4601/16/13/2396,

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650913,

https://www.mdpi.com/1660-4601/16/13/2396/pdf,

https://www.ncbi.nlm.nih.gov/pubmed/31284528,

https://academic.microsoft.com/#/detail/2955268591

• https://www.mdpi.com/1660-4601/16/13/2396/pdf,

http://dx.doi.org/10.3390/ijerph16132396

under the license https://creativecommons.org/licenses/by/4.0/