Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2022.2094438
Evaluating the influence of environmental R&D on the SO2 intensity in China: evidence from dynamic spatial Durbin model analysis
Yuee Tang
Siyu Wu
Shuxing Chen
Sažetak
Green technology is a significant means to improve the environment
and achieve sustainable development goals. According to the
data of Chinese provincial panel from 2000 to 2016, our study
investigated the spatial effect of environmental research and development
(R&D) activities on SO2 intensity using the dynamic spatial
Durbin model. First, SO2 intensity in China was shown to have obvious
spatial correlation, strong path dependence, and spatial
agglomeration features of ‘high-high’ as well as ‘low-low’. Second,
both in the short- and long-term, environmental R&D activities had
an essential negative influence on local SO2 intensity, but no significant
effect on SO2 intensity in the neighbouring areas, indicating
that the SO2 intensity reduction effect of environmental R&D activities
was confined to local areas. Moreover, the long-term effect of
environmental R&D activities on SO2 intensity was not enhanced,
indicating that China’s existing green technology is insufficient,
which hinders the spillover influences of environmental R&D activities.
Third, the short- as well as long-term effects of practical-type
R&D on SO2 intensity were significantly negative, indicating that
practical-type R&D can effectively reduce SO2 intensity. Inventiontype
R&D had a significant negative effect on local SO2 intensity,
but no significant effect on neighbouring areas.
Ključne riječi
SO2 intensity; environmental R&D activities; dynamic spatial Durbin model
Hrčak ID:
304198
URI
Datum izdavanja:
31.3.2023.
Posjeta: 226 *