Economics at your fingertips  

Assessing the role of public attention in China's wastewater treatment: A spatial perspective

Chen Wang, Zhongzhu Chu and Wei Gu

Technological Forecasting and Social Change, 2021, vol. 171, issue C

Abstract: Of late, China has made significant strides in wastewater management. However, there is substantial variation in wastewater management across different regions in China. This study focuses on public attention, which is seldom discussed as an influencing factor of wastewater treatment, although it has increased in recent years due to the rapid development of Internet technology. Herein we verify that not only public attention related to wastewater but also wastewater treatment performance among provinces has stable spatial correlations. A Spatial Durbin model is used to investigate the impact of public attention on wastewater treatment. The results show that, for the local province, public attention will help improve wastewater treatment by promoting government to enact laws and regulations. At the same time, public attention in the local province will improve the wastewater treatment of its surrounding provinces, even if there are no regulations or public attention there. Therefore, the public could be a very effective supervisor of environmental issues. In view of these results, policy recommendations are proposed, which can be applied to improve China's wastewater treatment. In the future research, exploring the different impacts of the public's positive and negative attitudes will be conductive to evaluate environmental management in great detail.

Keywords: Public attention; Wastewater treatment; Laws and regulations; Spatial spillover; Spatial Durbin model (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

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:

DOI: 10.1016/j.techfore.2021.120984

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2023-05-18
Handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521004169