Send this by Julio Friedmann to your representative in Congress, particularly if he/she/it is a member of the Green Obstructionist Party:
ENN (a subsidiary of the XinAo Group), Shenhua, CNOOC and others are all developing clean tech themselves from scratch, both for domestic use and export. This covers solar thin-films, biofuels, coal-to-liquids, shale gas and smart grids, all with U.S. partners. Lishen battery company, one of the world’s largest, is embarking on a $7 billion development drive just for battery technology and demonstration.
The good news — this will ultimately lead to lower emissions faster worldwide, and cheaper power with it. The bad news — for some in the U.S. — is additional competition. While some U.S. companies will benefit, others will encounter aggressive, new competition with credible technology. Some will grow faster; others will lose market share.
U.S. businesses are quick to benefit from this, and will help us all reach a stable climate faster. U.S. jobs will be created in the process, as is already happening with many who are partnering in China’s clean-tech sector right now. They’re also critical to laying the foundation of trust between the two countries, absolutely essential for U.S.-China government agreements in trade, climate and other key areas.
Perhaps the main story is the constancy of the innovation drive. China has built the largest computer in the world (Tianhe-1). It started with U.S. chips, but the next one will be with indigenous chips. While the U.S. has a lead in using these computers well to accelerate innovation, we could lose that edge quickly — in just two to three years. This same innovation permeates everything: aircraft, biotech, IT.
But clean-tech is the main event, at over $40 billion/year government investment. That investment goes to universities, private companies, state-owned enterprises and new research institutes. It funds centers of excellence, large-scale demonstrations, modeling and simulation and bench-top research. It’s like the Vannevar Bush innovation model (let a thousand flowers bloom) — on steroids.