scholarly journals FDI and Intellectual Property Protection in China: A Game Theory Perspective

2021 ◽  
Vol 6 (6) ◽  
pp. 133-138
Author(s):  
Dong-Mei Lee ◽  
Lee-Yuan Wang ◽  
Yue Wang ◽  
Dai-Jiao Zhou
Keyword(s):  
Game Theory ◽  
Intellectual Property ◽  
Host Country ◽  
Large Scale ◽  
Spillover Effect ◽  
Transnational Corporations ◽  
Intellectual Property Protection ◽  
Policy Implications ◽  
Development Institutions ◽  
The Relationship

The large-scale spread of R&D activities by MNCs to investment host countries is a new phenomenon of globalization in the past ten years. For the host country, especially a developing host country such as China, how to promote the spillover effect of TNC research and development institutions on the host country and curb its crowding-out effect is a new topic. This paper analyzes the R&D strategy adopted by transnational corporations in China. We explain the relationship between the strength of intellectual property protection in China and the choice of the organization form of R&D activities by transnational corporations with game theory and proves the relationship between the two with data. Finally, policy implications are proposed for the trend of sole proprietorship of R&D activities of transnational corporations.

scholarly journals Empirical Analysis on Promoting Industrial Transformation and Upgrading in Zhejiang Province by Enhancing Intellectual Property Protection

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Junjun Ye ◽  
Jijian Wang ◽  
Zhiwei Zhu
Keyword(s):  
Intellectual Property ◽  
Real Estate ◽  
Empirical Analysis ◽  
Correlation Coefficients ◽  
Intellectual Property Protection ◽  
Zhejiang Province ◽  
Total Output ◽  
Industrial Transformation ◽  
Pearson's Correlation ◽  
The Relationship

This paper aims to reveal the relationship between intellectual property protection (IPP) and industrial transformation and upgrading (T&U) in southeastern China’s Zhejiang Province. Taking five representative industries as objects, the shift-share analysis was adopted to measure the T&U level of each industry, with the total output in 2004–2019 as the basis. The results show that wholesale and retail, lodging and catering, finance, and real estate are the four advantageous industries. Further, the authors calculated Pearson’s correlation coefficients between IPP intensity and the T&U levels of the four industries. By the coefficients, the four industries can be ranked in descending order as lodging and catering (0.8743), real estate (0.6908), wholesale and retail (0.5891), and finance (0.5468). In addition, the IPP was found to be positively correlated with total manufacturing output (0.8027). Hence, the IPP can significantly promote the development of these five industries.

scholarly journals Could Java Change Everything? The Competitive Propriety of a Proprietary Standard

2016 ◽  
Author(s):  
Mark Lemley
Keyword(s):  
Intellectual Property ◽  
Open Access ◽  
Property Rights ◽  
Intellectual Property Rights ◽  
Network Effects ◽  
Intellectual Property Protection ◽  
The Internet ◽  
Open Market ◽  
Software Market ◽  
The Relationship

The Internet software market is characterized by strong network effects andomnipresent intellectual property rights. In this paper, we attempt toexplore the relationship between the two, focusing on two examples: thegovernment's antitrust proceeding against Microsoft for browser tying, andSun's suit against Microsoft for altering Java. We conclude that the socialvalue of the Internet lies in its ability to facilitate interoperation, andthis in turn argues in favor of open access to network standards. Such openstandards may be achieved in the open market. Where they are not, the lawmay intervene, but it must be cautious not to overreach and to avoiddisturbing the incentives provided by intellectual property protection.

scholarly journals Evolutionary Game Analysis of Firms’ Technological Strategic Choices: A Perspective of the Behavioral Biases

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Yingqing Zhang ◽  
Ruguo Fan ◽  
Ming Luo ◽  
Mingman Chen ◽  
Jiaqin Sun
Keyword(s):  
Decision Making ◽  
Intellectual Property ◽  
Loss Aversion ◽  
Evolutionary Game ◽  
Spillover Effect ◽  
Intellectual Property Protection ◽  
Game Model ◽  
Probability Weighting ◽  
Strategic Choices ◽  
Behavioral Biases

To reveal the mechanisms of firms’ technological strategic choices between innovation and imitation, an evolutionary game model is proposed from the perspective of the behavioral biases. First, behavioral biases such as reference point dependence, loss aversion, and probability weighting can be defined and modeled based on the prospect theory. Second, according to the firm theory, a Cournot or Stackelberg game modeled with a technology spillover effect and intellectual property protection is applied to portray the interaction between firms. Third, an improved evolutionary game model is provided by incorporating behavioral biases into the framework of the decision-making process. Finally, the simulation analysis of some important factors, such as intellectual property protection, patent fees, innovation risks, decision-making attitudes, and consumers’ price preference on firms’ technological strategic choices, is presented. The corresponding results show that (1) innovation risk is an important factor affecting the technological strategic choices of firms, (2) increasing the intellectual property protection and the patent fee for technology transfer can effectively control the spillover effect of technology, (3) there is a partial U-shaped relationship between the consumers’ price preference and innovation, and (4) the behavioral biases such as reference point dependence, loss aversion, and probability weighting will change the perception of payoff and risk and will eventually induce firms to adopt the innovation strategy.

scholarly journals The Threshold Effect of FDI on Regional Innovation Capability— From the Perspective of Intellectual Property Protection

2021 ◽  
Vol 275 ◽  
pp. 03023
Author(s):  
Wencong Li
Keyword(s):  
Intellectual Property ◽  
Direct Investment ◽  
Threshold Value ◽  
Threshold Effect ◽  
Intellectual Property Protection ◽  
Innovation Capability ◽  
Regional Innovation ◽  
Threshold Regression Model ◽  
The Impact ◽  
The Relationship

As one of the important channels of technology spillover, foreign direct investment (FDI) has a significant impact on regional innovation capability, which is restricted by the intensity of intellectual property protection. In order to explore the relationship between these three factors, this paper constructs a nonlinear threshold regression model based on China’s provincial panel data from 2009 to 2018, and empirically analyzes the threshold effect of FDI on regional innovation capability with the intensity of intellectual property protection as the threshold variable. The results show that the impact of FDI on regional innovation capability has a significant single threshold effect of intellectual property protection intensity. Only when the intensity of intellectual property protection remains near the threshold value, can FDI promote regional innovation capability to the greatest extent.

scholarly journals Impact of Financial Development and Its Spatial Spillover Effect on Green Total Factor Productivity: Evidence from 30 Provinces in China

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Junhao Zhong ◽  
Tinghui Li
Keyword(s):  
Total Factor Productivity ◽  
Financial Development ◽  
Spillover Effect ◽  
Policy Implications ◽  
Pollutant Emissions ◽  
Factor Productivity ◽  
Spatial Spillover ◽  
Surrounding Areas ◽  
The Relationship ◽  
Spatial Spillover Effect

The relationship between financial development and green economic growth has received much attention in recent years. Research on the relationship between financial development and green total factor productivity (GTFP) is of great importance to China and other countries. This study has attempted to reveal the spatial distribution of China’s provincial GTFP and impact of financial development on GTFP by using the method of GML index based on SBM-DDF and the spatial Durbin model (SDM) during the period 1996–2015. Innovation is added to the SDM to reflect the influencing mechanism of financial development on GTFP. The empirical results show the following: (1) The mean of China’s provincial GTFP showed a U-shaped curve in 1996–2015. (2) China’s provincial financial development promotes the growth of GTFP through innovation channel. The reason is that financial development boosts eco-friendly innovation and the introduction of energy saving technology, leading to a decrease in energy consumption and pollutant emissions. (3) Increasing the level of financial development in the surrounding areas will restrain local GTFP. Our results provide new evidence that China’s regional financial development has a spatial spillover effect. (4) China’s provincial GTFP has a significant spatial positive correlation. Finally, several policy implications can be summarized to China’s 30 provinces.

scholarly journals The Moderating Effect of Innovation on the Relationship between Urbanization and CO2 Emissions: Evidence from Three Major Urban Agglomerations in China

2019 ◽  
Vol 11 (6) ◽  
pp. 1633 ◽  
Author(s):  
Yanwen Sheng ◽  
Yi Miao ◽  
Jinping Song ◽  
Hongyan Shen
Keyword(s):  
Co2 Emissions ◽  
Spillover Effect ◽  
Yangtze River Delta ◽  
River Delta ◽  
Policy Implications ◽  
Spatial Spillover ◽  
Urban Agglomerations ◽  
The Yrd ◽  
The Relationship ◽  
Spatial Spillover Effect

This study investigates the relationship between urbanization, innovation, and CO2 emissions, with particular attention paid to the issue of how innovation influences the effect of urbanization on CO2 emissions in urban agglomerations, considering the spatial spillover effect between cities. Therefore, based on panel data on 48 cities in the three major urban agglomerations in China from 2001–2015, a spatial econometric model is used to estimate the effect of urbanization and innovation on CO2 emissions. The empirical results indicate that the relationship between urbanization and CO2 emissions follows a U-shaped curve in the Beijing-Tianjin-Hebei (BTH), an N-shaped curve in the Yangtze River Delta (YRD) and an inverted N-shaped pattern in the Pearl River Delta (PRD). Additionally, innovation shows a significantly positive effect on reducing CO2 emissions in the YRD, but does not exert a significantly direct effect on CO2 emissions in the BTH and the PRD. More importantly, innovation played an important moderating role between urbanization and CO2 emissions in the YRD and PRD, suggesting that reducing the positive impacts of urbanization on CO2 emissions depends on innovative development. In addition, urban CO2 emissions presented a clearly negative spatial spillover effect among the cities in the three urban agglomerations. These findings and the following policy implications will contribute to reducing CO2 emissions.

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