THE MEASUREMENT OF HIERARCHICALLY SPATIAL INDUSTRIAL KNOWLEDGE SPILLOVER EFFECTS
2018 ◽
Vol 6
(6)
◽
pp. 67-74
Keyword(s):
Based on the “year–region–industry” three - dimensional unbalanced industrial production panel data of Guangdong Province in China from 2005-2013, the relationship between knowledge spillovers and industrial structure is investigated by hierarchically spatial lagged with spatial autoregressive error (HSARAR) model. The empirical results indicate that the impacts of MAR, Jacobs, and Porter spillover on Guangdong's industry economic growth is positive and statistically significant. The industrial HSARAR model considers the hierarchical structure and spatial effect simultaneously, which has a better description on economic reality than the pooled model and SARAR model.
2021 ◽
Vol 18
(17)
◽
pp. 9107
Keyword(s):
1994 ◽
Vol 42
(5)
◽
pp. 681-686
◽
2013 ◽
Vol 726-731
◽
pp. 1566-1572
◽
2016 ◽
Vol 06
(03)
◽
pp. 1650008
◽
Keyword(s):