Intellectual Property in China: Myth and Reality

Presented by

Ian Harvey, former CEO, BTG plc and Course Professor, Tsinghua University, Beijing| Hosted by

About this talk

China is becoming one of the major technology and patent generators and are already filing more patents than the US and Europe. It is essential for intellectual property owners to understand the truth and the myths surrounding IP in China, and this webinar is essential listening for any individual or company looking to better understand intellectual property rights in China. In this webinar, you will learn that IP and its enforcement in China is much more advanced than most people realise: 1. IP law in China is of a high quality by global standards. 2. The quality, cost and timeliness of the “rights” (patents and trademarks) granted to foreign firms under Chinese law compare well with the rest of the world. 3. Enforcement of patent rights is much cheaper and faster than in most developed countries. The courts, including the IP Tribunal of the Supreme Court, are handing down some very sophisticated judgement. 4. About 95% of the foreign companies litigating their patents in China win their cases To dive deeper into this topic, we will be joined by our guest speaker, Ian Harvey, former CEO, BTG plc and Course Professor, Tsinghua University, Beijing. He is currently involved in development of IP in China and is pressing for the teaching of IP as part of a strategy in business school programmes worldwide.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (100)
Subscribers (6564)
PatSnap is the leading innovation intelligence platform designed to help users identify technological opportunities that could affect the future growth and survival of their business. We do this by providing users with everything they need to know about a company’s technology and innovation. With the use of AI technology and machine learning, we connect, analyse and classify data points from millions of global information sources to help customers easily interpret unstructured data. For more information, please visit: