4.6 Article

Industrial structure upgrading and the impact of the capital market from 1998 to 2015: A spatial econometric analysis in Chinese regions

Journal

Publisher

ELSEVIER
DOI: 10.1016/j.physa.2018.08.168

Keywords

Capital market; Industrial structure upgrading; Spatial spillover effect; Spatial panel data model

Funding

  1. National Natural Science Foundation of China [61603011, 6177029]
  2. Beijing Social Science Foundation [16JDGLC005]
  3. International Postdoctoral Exchange Fellowship Program, China [20170016]
  4. UPE, Brazil [PFA2016, PIAEXT2016]
  5. FACEPE, Brazil [APQ-0565-1.05/14]
  6. CAPES, Brazil
  7. CNPq, Brazil
  8. NSF, USA [PHY-1505000, CMMI-1125290, CHE-1213217]
  9. DTRA, USA [HDTRA1-14-1-0017]

Ask authors/readers for more resources

Using the theoretical framework of spatial econometrics, we estimate the impact of capital markets, i.e., stock markets, medium-and-long term bond markets, and medium-and-long term loan markets, on industrial structure upgrading (ISU) across 31 provinces in China from 1998 to 2015. We apply an explanatory spatial data analysis (ESDA) to detect the presence of spatial dependence and use a spatial Durbin model (SDM) to examine spatial distribution and spatial association. Although our overall estimation results from the 31 provinces indicate a degree of correlation between capital markets and industrial structure upgrading, the magnitude of spatial spillover effects in three sub-markets on ISU differ. We divide the 31 provinces into four economic zones, and explore the impact of three submarkets on ISU in the eastern zone, central zone, western zone, and northeastern zone. Using our results, we provide policy suggestions that better facilitate ISU in China. (C) 2018 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available