Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment

Danlin Yu, Yehua Dennis Wei

Research output: Contribution to journalArticleResearchpeer-review

53 Citations (Scopus)

Abstract

This study investigates spatial dependence and mechanisms of regional development in Greater Beijing, China by employing spatial statistical techniques. We have detected positive, strengthening global spatial autocorrelation from 1978 to 2001, and found such strengthening is the result of newly formed/extended clusters in the area. The local analysis recognizes local regimes of two-tier urban-rural spatial structure at the beginning of the reform period. While the urban-rural divide was lessening due to the reform, a north-south divide has emerged because of local natural conditions and development trajectories. Regarding mechanisms of regional development, ordinary least squares analysis is constrained by the existence of significant spatial autocorrelation among spatial units. Analytical results reveal that an error spatial regression model is a more appropriate alternative due to possible mismatch between boundaries of the underlying spatial process and the spatial units where data are organised. In 1995 and 2001, the signs of all the regression coefficients remained the same for both OLS and spatial models. However, their magnitude and significance change. Specifically, foreign direct investment and fixed-asset investment became less influential in the spatial model, while local government spending emerged as more influential.

Original languageEnglish
Pages (from-to)97-117
Number of pages21
JournalPapers in Regional Science
Volume87
Issue number1
DOIs
StatePublished - 1 Mar 2008

Fingerprint

regional development
spatial data
Geographical Information System
data analysis
GIS
autocorrelation
China
regression
reform
foreign direct investment
mismatch
direct investment
foreign investment
local government
assets
trajectory
analysis

Keywords

  • Exploratory spatial data analysis
  • GIS
  • Greater Beijing
  • Regional development
  • Spatial regression

Cite this

@article{8ea17cac1f734d48a54e173bd54d1a8a,
title = "Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment",
abstract = "This study investigates spatial dependence and mechanisms of regional development in Greater Beijing, China by employing spatial statistical techniques. We have detected positive, strengthening global spatial autocorrelation from 1978 to 2001, and found such strengthening is the result of newly formed/extended clusters in the area. The local analysis recognizes local regimes of two-tier urban-rural spatial structure at the beginning of the reform period. While the urban-rural divide was lessening due to the reform, a north-south divide has emerged because of local natural conditions and development trajectories. Regarding mechanisms of regional development, ordinary least squares analysis is constrained by the existence of significant spatial autocorrelation among spatial units. Analytical results reveal that an error spatial regression model is a more appropriate alternative due to possible mismatch between boundaries of the underlying spatial process and the spatial units where data are organised. In 1995 and 2001, the signs of all the regression coefficients remained the same for both OLS and spatial models. However, their magnitude and significance change. Specifically, foreign direct investment and fixed-asset investment became less influential in the spatial model, while local government spending emerged as more influential.",
keywords = "Exploratory spatial data analysis, GIS, Greater Beijing, Regional development, Spatial regression",
author = "Danlin Yu and Wei, {Yehua Dennis}",
year = "2008",
month = "3",
day = "1",
doi = "10.1111/j.1435-5957.2007.00148.x",
language = "English",
volume = "87",
pages = "97--117",
journal = "Papers in Regional Science",
issn = "1056-8190",
publisher = "Wiley-Blackwell",
number = "1",

}

Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment. / Yu, Danlin; Wei, Yehua Dennis.

In: Papers in Regional Science, Vol. 87, No. 1, 01.03.2008, p. 97-117.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment

AU - Yu, Danlin

AU - Wei, Yehua Dennis

PY - 2008/3/1

Y1 - 2008/3/1

N2 - This study investigates spatial dependence and mechanisms of regional development in Greater Beijing, China by employing spatial statistical techniques. We have detected positive, strengthening global spatial autocorrelation from 1978 to 2001, and found such strengthening is the result of newly formed/extended clusters in the area. The local analysis recognizes local regimes of two-tier urban-rural spatial structure at the beginning of the reform period. While the urban-rural divide was lessening due to the reform, a north-south divide has emerged because of local natural conditions and development trajectories. Regarding mechanisms of regional development, ordinary least squares analysis is constrained by the existence of significant spatial autocorrelation among spatial units. Analytical results reveal that an error spatial regression model is a more appropriate alternative due to possible mismatch between boundaries of the underlying spatial process and the spatial units where data are organised. In 1995 and 2001, the signs of all the regression coefficients remained the same for both OLS and spatial models. However, their magnitude and significance change. Specifically, foreign direct investment and fixed-asset investment became less influential in the spatial model, while local government spending emerged as more influential.

AB - This study investigates spatial dependence and mechanisms of regional development in Greater Beijing, China by employing spatial statistical techniques. We have detected positive, strengthening global spatial autocorrelation from 1978 to 2001, and found such strengthening is the result of newly formed/extended clusters in the area. The local analysis recognizes local regimes of two-tier urban-rural spatial structure at the beginning of the reform period. While the urban-rural divide was lessening due to the reform, a north-south divide has emerged because of local natural conditions and development trajectories. Regarding mechanisms of regional development, ordinary least squares analysis is constrained by the existence of significant spatial autocorrelation among spatial units. Analytical results reveal that an error spatial regression model is a more appropriate alternative due to possible mismatch between boundaries of the underlying spatial process and the spatial units where data are organised. In 1995 and 2001, the signs of all the regression coefficients remained the same for both OLS and spatial models. However, their magnitude and significance change. Specifically, foreign direct investment and fixed-asset investment became less influential in the spatial model, while local government spending emerged as more influential.

KW - Exploratory spatial data analysis

KW - GIS

KW - Greater Beijing

KW - Regional development

KW - Spatial regression

UR - http://www.scopus.com/inward/record.url?scp=41949138179&partnerID=8YFLogxK

U2 - 10.1111/j.1435-5957.2007.00148.x

DO - 10.1111/j.1435-5957.2007.00148.x

M3 - Article

VL - 87

SP - 97

EP - 117

JO - Papers in Regional Science

JF - Papers in Regional Science

SN - 1056-8190

IS - 1

ER -