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Economic Impacts of Intellectual Property-Conditioned Government Incentives

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Cover of 'Economic Impacts of Intellectual Property-Conditioned Government Incentives'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 IP-Conditioned Government Incentives in China and the EU: A Comparative Analysis of Strategies and Impacts on Patent Quality
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    Chapter 3 IP-Conditioned Subsidies in Germany and the EU: Operation, Dangers, and Recommendations
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    Chapter 4 The Impact of Public Support for SMEs’ Patenting Activity: Empirical Evidence from Italy
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    Chapter 5 IP-Conditioned Tax Incentives: The Right Approach to Stimulate Innovation and R&D in the European Union?
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    Chapter 6 Incentives for Chinese Inventors: A Proposal for a New Inventor Remuneration Scheme with German Elements
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    Chapter 7 The Upsurge of Domestic Patent Applications in China: Is R&D Expenditure or Patent Subsidy Policy Responsible?
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    Chapter 8 The Evolving Environment for Intellectual Property Tax Management in China
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    Chapter 9 Evaluating Patent Promotion Policies in China: Consequences for Patent Quantity and Quality
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    Chapter 10 University Patent Licensing and Its Contribution to China’s National Innovation System
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    Chapter 11 A Study on the Effects of Intellectual Property Policies in China: Evidence from China’s ‘IP Demonstration City’ Program
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    Chapter 12 Invention Patents Are Not for Everyone: Developing Less Industrialized Regions in China with ‘Light’ Intellectual Property
Attention for Chapter 10: University Patent Licensing and Its Contribution to China’s National Innovation System
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Readers on

mendeley
12 Mendeley
Summary
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Chapter title
University Patent Licensing and Its Contribution to China’s National Innovation System
Chapter number 10
Book title
Economic Impacts of Intellectual Property-Conditioned Government Incentives
Published by
Springer, Singapore, January 2016
DOI 10.1007/978-981-10-1119-1_10
Book ISBNs
978-9-81-101117-7, 978-9-81-101119-1
Authors

Yun Liu, Long Tan, Yi-jie Cheng, Liu, Yun, Tan, Long, Cheng, Yi-jie

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Student > Master 3 25%
Student > Bachelor 2 17%
Student > Doctoral Student 1 8%
Unknown 2 17%
Readers by discipline Count As %
Business, Management and Accounting 3 25%
Engineering 3 25%
Social Sciences 2 17%
Computer Science 1 8%
Economics, Econometrics and Finance 1 8%
Other 0 0%
Unknown 2 17%

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