Changes in the relationship between FDI and industrial structure – taking Fujian province

2014 ◽  
Author(s):  
XiuFeng Song
Keyword(s):  
Industrial Structure ◽  
Fujian Province ◽  
The Relationship

scholarly journals Study on the Influence of Urban Spatial Connection of Beijing Tianjin Hebei Urban Agglomeration on Total factor Productivity

2020 ◽  
Vol 206 ◽  
pp. 02010
Author(s):  
Wang Hongmei ◽  
Lu Zhihui
Keyword(s):  
Industrial Structure ◽  
Network Centrality ◽  
Connection Strength ◽  
External Effect ◽  
Factor Productivity ◽  
Positive Role ◽  
Centrality Index ◽  
Main Factors ◽  
City Cluster ◽  
The Relationship

The development of a city can not be separated from the connection with the outside world. A city can benefit from the external effect of the connection network with other cities. This paper studies the relationship between cities’ connection strength and TFP according to the network centrality index, which measures the level of the connection between cities. It is found that the connection between cities has a significant positive role in promoting the TFP of cities in a city cluster. The differences of labor scale, industrial structure and openness are the main factors that affect the connection between cities.

scholarly journals THE MEASUREMENT OF HIERARCHICALLY SPATIAL INDUSTRIAL KNOWLEDGE SPILLOVER EFFECTS

2018 ◽  
Vol 6 (6) ◽  
pp. 67-74
Author(s):  
Qianting Ye
Keyword(s):  
Industrial Structure ◽  
Knowledge Spillovers ◽  
Three Dimensional ◽  
Guangdong Province ◽  
Spillover Effects ◽  
Spatial Effect ◽  
The Hierarchical Structure ◽  
Economic Reality ◽  
Spatial Autoregressive ◽  
The Relationship

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.

scholarly journals The Impact of the Interaction of Financial and Industrial Structure on Economic Growth – Evidence from China

2021 ◽  
Vol 251 ◽  
pp. 01101
Author(s):  
Yiqian Tan ◽  
Fan Jiang
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Financial Structure ◽  
Growth Speed ◽  
Matching Effect ◽  
Industrial Upgrading ◽  
Slowing Down ◽  
Using Data ◽  
The Impact ◽  
The Relationship

In recent years, China’s economic growth speed has been slowing down, leading to the problems of overcapacity and unbalanced regional economic development, and the mismatch between industrial and financial structure is becoming intense. This paper, starting with the relationship among economic growth, industrial structure and financial structure, summarizes the research by the former scholars. On this basis, by using data of 31 provincial panel data in China from 2007 to 2016, the article aims to find out the relationship between the industrial structure and economic growth, the relationship between the financial structure and economic growth and the relationship between the interaction of financial and industrial structure and economic growth. Finally, the conclusions of this paper are obtained that the interaction between the financial structure and the industrial structure can promote the economic growth significantly. However, the matching effect of the financial structure and industrial structure in China has not been completely formed, and the industrial upgrading should be guided to be structurally reformed through the policy.

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