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. 2022 Nov 24:10:1073920.
doi: 10.3389/fpubh.2022.1073920. eCollection 2022.

Spatio-temporal effect of provincial technological innovation on environmental pollution in China

Chu Wang  1 , Xiaomin Guo  2   3
Affiliations

Spatio-temporal effect of provincial technological innovation on environmental pollution in China

Chu Wang et al. Front Public Health. .

Abstract

The relationship between technological innovation (TL) and environmental pollution (EP) and its action mechanisms are complex and controversial aspects of discussion. Using the spatial autocorrelation analysis, standard deviation ellipse analysis, kernel density function, spatial econometric model, this study analyzed the spatial distribution, evolution characteristics, and influencing factors of the EP and TL from 2000 to 2020 in China. Results found there was a significant spatial autocorrelation between the EP and TL in 2000-2020. The standard deviation ellipse of EP was broadly distributed in the "southwest-northeast" direction, indicating that EP presented a trend of concentration in the direction of "southwest-northeast." The moving trajectory of the center of gravity for the EP in 2000-2020 was essentially moved from the northeast to southwest. Overall, the national level of TL exhibited a "north-south change, high in the east, and low in the west" trend. Regional differences were gradually expanding, and the polarization was evident. Regardless of using least squares method (OLS) or quantile regression (QR) models, TL, human capital (HC), and industrial structure (IS) all had an inhibitory effect on the EP at the effective significance level. Total population (TP), foreign direct investment (FDI), and local fiscal expenditure (LFE) were positively related to the EP.

Keywords: China; environmental pollution; quantile regression; space effect; technological innovation.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
LISA cluster diagram of EP in 2000–2020.
Figure 2
Figure 2
Standard deviation ellipse and center of gravity movement trajectory of China's environmental pollution index (EP) from 2000 to 2020.
Figure 3
Figure 3
Dynamic evolution of the national EP from 2000 to 2020.
Figure 4
Figure 4
(A–E) Trend surface analysis results of provincial technological innovation (TL) levels in China.
Figure 5
Figure 5
Distribution of the regression elasticity coefficient of influencing factors of the environmental pollution index (EP) in China.
See this image and copyright information in PMC

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