Next Article in Journal
Working at the Boundary: An Empirical Study into the Goals and Strategies of Knowledge Brokers in the Field of Environmental Governance in the Netherlands
Previous Article in Journal
Exploring R&D Influences on Financial Performance for Business Sustainability Considering Dual Profitability Objectives
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(11), 1955; doi:10.3390/su9111955

Spatial–Temporal Modeling for Regional Economic Development: A Quantitative Analysis with Panel Data from Western China

1
School of Economics and Management, Chang’an University, Middle-section of Nan’er Huan Road, Xi’an 710064, China
2
School of Civil Engineering, Chang’an University, No.161, Chang’an Road, Xi’an 710061, China
3
Assistant Professor, Bert S. Turner Department of Construction Management, Louisiana State University, 3315D Patrick F. Taylor Hall, Baton Rouge, LA 70803, USA
*
Authors to whom correspondence should be addressed.
Received: 17 July 2017 / Revised: 16 October 2017 / Accepted: 16 October 2017 / Published: 27 October 2017
View Full-Text   |   Download PDF [1613 KB, uploaded 28 October 2017]   |  

Abstract

The objective of this research is to analyze regional economic difference and explore the influencing factors, which would eventually provide an effective foundation to narrow the regional economic differences. In this paper, a new regional economic difference model is established considering the interactions between the spatial weight and human capital and foreign direct investment (FDI). With the panel data from twelve western provinces in China, the empirical research is conducted by adopting feasible generalized least squares (FGLS) fixed effects model. The preliminary results show that: (1) the spatial spillover effect of human capital and FDI is significant to the formation of regional economic difference; and (2) the total capital formation, government expenditure, FDI, human capital and patent application authorization are positively correlated with GDP growth per capita, while the number of medical institutions is negatively correlated with GDP growth per capita. In addition, the robust test is carried out for validation by using the filter variable method, spatial lag model and spatial error model. The robustness test results show that the results of the FGLS fixed effects model are validated by the filter variable method. The other two robust test results show that: (1) the total capital formation and the fixed asset investment is of 99.9% significance, which represents that they play a key role in the formation of economic development difference; and (2) the coefficients’ symbols of the other variables are consistent with the FGLS fixed effect model but a little different on the significances, which enhance the effectiveness of the proposed regional economic difference model. View Full-Text
Keywords: regional economy; capital factor; FGLS fixed effects model; filter variable method; spatial lag model; spatial error model regional economy; capital factor; FGLS fixed effects model; filter variable method; spatial lag model; spatial error model
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, J.; Liu, Q.; Wang, C.; Li, H. Spatial–Temporal Modeling for Regional Economic Development: A Quantitative Analysis with Panel Data from Western China. Sustainability 2017, 9, 1955.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top