2021
DOI: 10.1016/j.trd.2021.102802
|View full text |Cite
|
Sign up to set email alerts
|

High-speed rail accessibility and haze pollution in China: A spatial econometrics perspective

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
15
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 61 publications
(16 citation statements)
references
References 47 publications
1
15
0
Order By: Relevance
“…The exacerbation of urban haze pollution and its serious consequences have stimulated scholars' enthusiasm for the research on the causes [7], formation mechanisms [8], sources [9][10][11], and influencing factors of haze pollution [12][13][14][15]. Generally, the influencing factors include economic growth [16][17][18], transportation construction [19][20][21], urbanization [22,23], industrial agglomeration [24,25], energy intensity [5,16,26,27], FDI [28], trade liberalization [29], technological progress [30], environmental regulation [31][32][33], and other meteorological factors [34][35][36]. Xu and Lin [5] adopted panel data models to study the main driving forces of PM2.5, involving economic growth, urbanization, private cars, coal consumption, and energy efficiency, and also analyzed the regional heterogeneity in China.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The exacerbation of urban haze pollution and its serious consequences have stimulated scholars' enthusiasm for the research on the causes [7], formation mechanisms [8], sources [9][10][11], and influencing factors of haze pollution [12][13][14][15]. Generally, the influencing factors include economic growth [16][17][18], transportation construction [19][20][21], urbanization [22,23], industrial agglomeration [24,25], energy intensity [5,16,26,27], FDI [28], trade liberalization [29], technological progress [30], environmental regulation [31][32][33], and other meteorological factors [34][35][36]. Xu and Lin [5] adopted panel data models to study the main driving forces of PM2.5, involving economic growth, urbanization, private cars, coal consumption, and energy efficiency, and also analyzed the regional heterogeneity in China.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The location entropy index can reflect specific industrial agglomeration development advantages in a particular region. The specific calculation formula is: (9) where i means different cities in three major urban agglomerations, j(1, 2, 3, • • • , m) represents the industrial sector, maggl ij represents the agglomeration degree in the industry j in the city i, and L ij represents the economic scale of the industry j in the city i. Generally speaking, a location entropy index greater than one indicates that the region's manufacturing industry tends to agglomerate.…”
Section: Mechanism Variable: Manufacturing Industry Agglomerationmentioning
confidence: 99%
“…On the one hand, high-speed rail generates less carbon dioxide emissions than civil aviation, automobile, and other transportation modes [6,7]. On the other hand, large-scale high-speed rail construction will significantly reduce transportation costs and promote the flow of talent, capital, and technology, thus promoting regional technological innovation and reducing the environmental pollution of enterprise production [8,9].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations