Research on the Influence Effect of Open Government Environmental Data on Urban Green Innovation

Hanlei Xu () and Xiting Mu ()
Additional contact information
Hanlei Xu: Harbin Engineering University
Xiting Mu: Harbin Engineering University

A chapter in Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), 2025, pp 327-333 from Springer

Abstract: Abstract Open data is a new way for governments to increase transparency, increase public trust and share data elements. In this paper, the green innovation capacity is measured by the number of green patent licenses in the form of quasi-natural experiments. The research shows that the openness of government environmental data directly improves the ability of urban green innovation, and indirectly affects the ability through the enhancement of public attention and the promotion of green technology progress. This effect is more significant in eastern cities and has no relation with urban resource endowment. Therefore, the government should increase the quantity and variety of open data, ensure data quality, standardize and promote the construction of open data platform.

Keywords: Open government environmental data; Urban green innovation; Quasi-natural experiments (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-656-7_32

Ordering information: This item can be ordered from
http://www.springer.com/9789464636567

DOI: 10.2991/978-94-6463-656-7_32

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().