Johnson Matthey's Chief Executive, Robert MacLeod recently announced the signing of a Memorandum of Understanding (MOU) between Johnson Matthey and the Chinese Academy of Sciences Holdings Co., Ltd. (CASH). CASH is wholly owned by the Chinese Academy of Sciences (CAS), China's top science and technology research and educational organisation.
The MOU was signed on July 31 by Robert MacLeod and CASH General Manager Suo Jishuan under witness of CAS President Bai Chunli at CAS headquarters in Beijing, and will facilitate future broad collaboration between the two parties.
On behalf of CAS, CASH exercises the investor's rights for the state-owned operating assets within the wholly-owned, shareholding and joint-stock companies affiliated to CAS, and takes responsibility of asset preservation and increment. Founded in 1949, CAS is the cradle of science and innovation in China with 104 research institutes, two universities, 12 academies and over 100 key national laboratories across China.
Science and innovation is also a cornerstone of Johnson Matthey's strategy to develop the next generation of sustainable products for its customers and the company spent around £170 million on research and development (R&D) last year. The MOU is therefore primarily focused on collaborative R&D efforts aimed at the joint development and commercialisation of new technologies and will support Johnson Matthey in further growing its presence in China.
Johnson Matthey has already established a strong presence in several locations in China, including Shanghai, Beijing and Yantai. The company’s focus is on using chemistry and applications expertise to solve major global challenges such as air pollution, conservation of natural resources, climate change and promoting health – challenges that are hugely relevant in China, where up to 500,000 premature deaths a year on mainland China are caused by air pollution.
Brought to you by Scope e-Knowledge Center, a world-leading provider of abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).
More News in this Theme
