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

Full document

The PDF file did not load properly or your web browser does not support viewing PDF files. Download directly to your device: Download PDF document

Original document

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

https://doaj.org/toc/1660-4601 under the license cc-by
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
http://dx.doi.org/10.3390/ijerph16132396
under the license https://creativecommons.org/licenses/by/4.0/
Back to Top

Document information

Published on 01/01/2019

Volume 2019, 2019
DOI: 10.3390/ijerph16132396
Licence: Other

Document Score

0

Views 3
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?