Spatial Analysis of Environmental Regulations: Evidence from Chinese Provinces

Xuemin Liu; Li Li; Jiaoju Ge; Dengli Tang

doi:10.1088/1755-1315/170/3/032061

Spatial Analysis of Environmental Regulations: Evidence from Chinese Provinces

Xuemin Liu
, Li Li^*
, Jiaoju Ge
, Dengli Tang

^*Corresponding author for this work

School of Economics and Management, Harbin Institute of Technology Shenzhen
Guangdong University of Finance & Economics

Research output: Contribution to journal › Conference article › peer-review

Abstract

This research focuses on the spatial distribution and spatial correlation of environmental regulations (ERS) with exploratory spatial data analysis technique (ESDA). The panel data of 31 provinces in China during the period of 2005-2015 is used. Finds show that the most intensive ERS region is located around Beijing-Tianjin-Hebei region. The values of global Moran's I vary from 0.1104 to 0.2145, indicating that ERS in China is not distributed randomly, but has spatial agglomeration effects. The High-High agglomeration type is mainly distributed in north China.

Original language	English
Article number	032061
Journal	IOP Conference Series: Earth and Environmental Science
Volume	170
Issue number	3
DOIs	https://doi.org/10.1088/1755-1315/170/3/032061
State	Published - 17 Jul 2018
Externally published	Yes
Event	2018 2nd International Symposium on Resource Exploration and Environmental Science, REES 2018 - Ordos, China Duration: 28 Apr 2018 → 29 Apr 2018

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title = "Spatial Analysis of Environmental Regulations: Evidence from Chinese Provinces",

abstract = "This research focuses on the spatial distribution and spatial correlation of environmental regulations (ERS) with exploratory spatial data analysis technique (ESDA). The panel data of 31 provinces in China during the period of 2005-2015 is used. Finds show that the most intensive ERS region is located around Beijing-Tianjin-Hebei region. The values of global Moran's I vary from 0.1104 to 0.2145, indicating that ERS in China is not distributed randomly, but has spatial agglomeration effects. The High-High agglomeration type is mainly distributed in north China.",

author = "Xuemin Liu and Li Li and Jiaoju Ge and Dengli Tang",

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T1 - Spatial Analysis of Environmental Regulations

T2 - 2018 2nd International Symposium on Resource Exploration and Environmental Science, REES 2018

AU - Liu, Xuemin

AU - Li, Li

AU - Ge, Jiaoju

AU - Tang, Dengli

PY - 2018/7/17

Y1 - 2018/7/17

N2 - This research focuses on the spatial distribution and spatial correlation of environmental regulations (ERS) with exploratory spatial data analysis technique (ESDA). The panel data of 31 provinces in China during the period of 2005-2015 is used. Finds show that the most intensive ERS region is located around Beijing-Tianjin-Hebei region. The values of global Moran's I vary from 0.1104 to 0.2145, indicating that ERS in China is not distributed randomly, but has spatial agglomeration effects. The High-High agglomeration type is mainly distributed in north China.

AB - This research focuses on the spatial distribution and spatial correlation of environmental regulations (ERS) with exploratory spatial data analysis technique (ESDA). The panel data of 31 provinces in China during the period of 2005-2015 is used. Finds show that the most intensive ERS region is located around Beijing-Tianjin-Hebei region. The values of global Moran's I vary from 0.1104 to 0.2145, indicating that ERS in China is not distributed randomly, but has spatial agglomeration effects. The High-High agglomeration type is mainly distributed in north China.

UR - https://www.scopus.com/pages/publications/85051941706

U2 - 10.1088/1755-1315/170/3/032061

DO - 10.1088/1755-1315/170/3/032061

M3 - 会议文章

AN - SCOPUS:85051941706

SN - 1755-1307

VL - 170

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

IS - 3

M1 - 032061

Y2 - 28 April 2018 through 29 April 2018

ER -

Spatial Analysis of Environmental Regulations: Evidence from Chinese Provinces

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