scholarly journals Firm ownership, industrial structure, and regional innovation performance in China's provinces

2014 ◽  
Vol 26 (9) ◽  
pp. 1001-1022 ◽  
Author(s):  
Jian Li ◽  
Dylan Sutherland ◽  
Lutao Ning ◽  
Yuandi Wang
Keyword(s):  
Industrial Structure ◽  
Innovation Performance ◽  
Regional Innovation ◽  
Firm Ownership

Regional government R&D investment and innovation performance: the moderating effect of geographical and organizational proximities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dongyun Zhu ◽  
Bingfen Xu
Keyword(s):  
Moderating Effect ◽  
Innovation Performance ◽  
Regional Government ◽  
Multilevel Regression ◽  
Regional Innovation ◽  
Government Investment ◽  
Content Type ◽  
Organizational Proximity ◽  
The Relationship ◽  
D Investment

Purpose This study aims to measure the moderating effect of geographical and organizational proximity by focusing on readily available Chinese regional economic data over a five-year period. Design/methodology/approach The authors used multilevel regression analysis to analyze the relationship. Findings Results show that increasing government investment in research and development (R&D) can improve innovation performance during this period, organizational proximity and geographic proximity have a positive moderate effect on the relationship between R&D investment and Innovation performance. Originality/value This study enriches the existing theories on government innovation input and output from the perspective of regional differences and provides meaningful guidance for current Chinese regional innovation policies.

scholarly journals The Firms Behind the Regions: Analysis of Regional Innovation Performance in Portugal by External Logistic Biplots

2013 ◽  
Author(s):  
Maria Teresa De Noronha Vaz ◽  
Purificacion Vicente Galindo ◽  
Peter Nijkamp ◽  
Eric de Noronha Vaz
Keyword(s):  
Innovation Performance ◽  
Regional Innovation

Towards convergence in national and regional innovation performance

2022 ◽  
pp. 71-111
Author(s):  
Marzenna Anna Weresa ◽  
Arkadiusz Michał Kowalski ◽  
Jakub Paweł Rybacki
Keyword(s):  
Innovation Performance ◽  
Regional Innovation

A Study of the Impact of Innovation on Industrial Upgrading in China: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

2020 ◽  
Vol 24 (3) ◽  
pp. 272-281
Author(s):  
Jiao Jiang ◽  
Xindong Zhao ◽  
◽  
Keyword(s):  
Panel Data ◽  
Industrial Structure ◽  
Spillover Effect ◽  
Theory Model ◽  
Regional Innovation ◽  
Industrial Upgrading ◽  
Logical Connection ◽  
Depth Analysis ◽  
The Impact ◽  
Industrial Structure Upgrading

This study provides an in-depth analysis of the impact of innovation on industrial upgrading from theoretical and practical perspectives. In terms of theory, based on the endogenous growth theory model, a multi-sectoral growth model is constructed to portray the inherent logical connection between innovation and industrial structure upgrading. The results show that innovation has an important impact on industrial structure upgrading. Industrial structure upgrading depends on differences in innovation level among industries and the substitution relationship of finished products in the industry. From an empirical perspective, based on the panel data of 31 provinces in China from 2005 to 2017, the spatial effect of innovation on industrial upgrading was analyzed using the spatial Durbin model. The results show that innovation and industrial structure upgrading has significant spatial correlation effects, and regional innovation can drive China’s industrial upgrading. Meanwhile, the space spillover effect is an important factor that cannot be ignored in industrial upgrading.

Do International Technological Spillovers Facilitate Regional Innovation Performance in China? Evidence from the Provincial Panel Data

2010 ◽  
Vol 108-111 ◽  
pp. 1308-1313
Author(s):  
Wu Wei Li
Keyword(s):  
Panel Data ◽  
Multinational Enterprises ◽  
Innovation Performance ◽  
National Bureau ◽  
Regional Innovation ◽  
Technological Spillovers ◽  
Independent Variables ◽  
Positive Effects ◽  
Technological Spillover ◽  
Learning By Exporting

Based on the provincial panel data put forward by National Bureau of Statistics of China, over the period 2000-2006, this paper empirically investigates the impacts of different channels for international technological spillovers on regional innovation performance, using regional innovation performance as dependent variable, and the channels for international technological spillovers as independent variables. The empirical results in this paper indicate that learning-by-exporting and learning-by-importing have positive effects on regional innovation performance in China, and that foreign R&D activities by multinational enterprises in China have positive and statistically significant effects on regional innovation performance. In addition, absorptive capability is an important driving factor for increasing the regional innovation performance in China. Research results indicate that both international technological spillover sources and indigenous efforts, including domestic R&D intensity and absorptive capacity jointly determine the regional innovation performance in China.

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