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.

scholarly journals HORIZONTALAND VERTICAL SPILLOVERS FROM FDI: EVIDENCE FROM PANEL DATA FOR THE ITALIAN MANUFACTURING SECTOR

2007 ◽  
Vol 8 (4) ◽  
pp. 259-266 ◽  
Author(s):  
Filippo Reganati ◽  
Edgardo Sica
Keyword(s):  
Panel Data ◽  
Multinational Enterprises ◽  
Manufacturing Sector ◽  
Host Countries ◽  
Firm Level ◽  
Production Chain ◽  
Positive Effects ◽  
Technology Transfers ◽  
Positive Externalities ◽  
Italian Manufacturing Firms

Foreign direct investment (FDI) from Multinational Enterprises (MNEs) can be beneficial to host countries, since it may generate positive externalities to domestic firms, contributing to the increase of their productivity. These positive effects can take place both within an industry ("horizontal” spillovers) and across industries ("vertical” spillovers) as in the case of technology transfers to domestic suppliers or customers in the production chain. Using a firm‐level panel data, in this paper we analyse productivity spillovers from FDI in the Italian manufacturing firms both within and across industries. Our results suggest the existence of “vertical” spillovers and no evidence of “horizontal” ones.

Can tourism help to revive shrinking cities? An examination of Chinese case

2021 ◽  
pp. 135481662110022
Author(s):  
Taotao Deng ◽  
Shuai Liu ◽  
Yukun Hu
Keyword(s):  
Panel Data ◽  
Population Growth ◽  
Urban Economy ◽  
Tourism Industry ◽  
Shrinking Cities ◽  
Rapid Urbanization ◽  
Positive Effects ◽  
Population Loss ◽  
Chinese Case ◽  
Economic Boom

Urban shrinkage has become a global phenomenon. Although China is still experiencing rapid urbanization, population losses arise in an increasing number of cities. As a booming industry, tourism is expected as a mean to create jobs and curb population loss. Can tourism industry contribute to revive the shrinking cities? Based on panel data of 54 shrinking cities in China, this article explores effects of tourism development on shrinking cities. The results show that there is no evidence that tourism has a significant impact on the population of the shrinking cities. However, tourism shows positive effects on these cities in terms of many aspects, including urban economy, employment, investment, and consumption. This indicates that tourism can revive shrinking cities by economic boom, rather than population growth.

DETERMINAN PENANAMAN MODAL ASING LANGSUNG DI ASEAN

2012 ◽  
Vol 7 (1) ◽  
pp. 75
Author(s):  
Joko Susanto
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Data Model ◽  
Direct Investment ◽  
Multinational Enterprises ◽  
Statistical Data ◽  
Regression Equation ◽  
Panel Data Model ◽  
Market Size ◽  
Research Analysis

This research analysis the factors’ that determine the foreign directinvestment (FDI) in ASEAN’s countries especially Indonesia, Malaysia, Philippine and Thailand during 1990-2009. Multinational Enterprises’ (MNE) must decideto choose a locationfor relocating its’ factory by market seeking dan resources seeking strategy. Based on this statement, it can be obtained the regression equation with foreign direct investment is a function of market size, worker’s productivity and infrastructure of road. Statistical data of UNESCAP was used in this research. The regression was base on the panel data model, while the estimation was based on common effects model. This results showthat the market size, worker’s productivity and availability of infrastructure road could be an importance consideration for MNE’s in their choice for FDI.Keywords: foreign direct investment, market size, worker’s productivity, infrastructure of road

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.

Antecedents of co-development and its effect on innovation performance

2019 ◽  
Vol 57 (7) ◽  
pp. 1609-1637 ◽  
Author(s):  
Hung-Tai Tsou ◽  
Ja-Shen Chen ◽  
Ya-Wen (Diana) Yu
Keyword(s):  
Partner Selection ◽  
Business Environment ◽  
Innovation Performance ◽  
Content Type ◽  
It Capability ◽  
Positive Effects ◽  
Business Ecosystem ◽  
Managerial Implications ◽  
Ict Industry ◽  
Survey Responses

Purpose In the contemporary business environment, companies must constantly consider methods to enhance their competitive advantage and create value for their customers. The purpose of this paper is to develop a research model based on a business ecosystem view. Within a business ecosystem, the authors identified the key factors of co-development and the manner in which these factors affect a company’s innovation performance. Design/methodology/approach The theoretical hypotheses are confirmed by partial least squares analysis of survey responses collected from information and communication technology (ICT) and hotel industries in Taiwan. Findings In both industries, the results suggest that a firm’s co-development within its own ecosystem has positive effects on innovation performance. For companies in the ICT industry, collaborative networks and partner selection have significant impacts on the firms’ co-development, but their information technology (IT) capability does not; in contrast, in the hotel industry, partner selection and IT capability have significant impacts on firm co-development, but their collaborative network does not. Originality/value This study contributes to the literature of business ecosystem and co-development by offering a co-development model. As both conceptual and empirical research on this topic is still underdeveloped, this study provides fresh insights into collaboration management and offers significant theoretical and managerial implications from a business ecosystem perspective.

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

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI OKI

2020 ◽  
Vol 7 (6) ◽  
pp. 1128
Author(s):  
Wheni Yeisa ◽  
Lina Nugraha Rani
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
International Trade ◽  
Panel Data ◽  
Labour Force ◽  
Estimation Model ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Estimation

Economic growth is an indicator that plays an important role in determining the prosperity of a country. This study aims to analyze the effect of labour force, international trade, and inflation towards economic growth in OIC countries over the period 2007 to 2018. Panel data regression analysis approach was adopted to analyze the effect of independent variables on the dependent variable. The results of the fixed effect estimation model found that all variables simultaneously had a significant effect on economic growth. Partially, labour force and internasional trade have a significant effect, while inflation has no significant effect on economic growth. The results of this study can be used as a reference and evaluation materials for policy makers.Keywords: Labour Force, International Trade, Inflation, Economic Growth, Organizations of Islamic Cooperation

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