Environment Innovations in environmental protection and conserving natural resources

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Lu Zhi - Environmental Sustainability in China

How can a country like China, which is still relatively poor, balance economic and environmental concerns? In this audio lecture, Peking University Professor Lu Zhi, who was invited to Stanford by the Center for Social Innovation, offers thoughts on conservation and some of its broader implications. Her message is that reversing the negative effects of rapid industrialization is possible, even in a developing country.

Mark Levine - China’s Environmental Sustainability Myths Dispelled

Like Russia, China has been a huge and inefficient user of energy for decades. Now, however, the country is cleaning up its act. In this audio lecture, sponsored by the Stanford Center for Social Innovation, Mark Levine, Lawrence Berkeley Lab energy group director, dispels common American myths about China's energy and environmental practices, demonstrating that the country is becoming surprisingly progressive. He touches on areas such as subsidies, pricing, and emissions policies.

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The Next Phase of Business Sustainability

By Andrew J. Hoffman 23

The era of corporations integrating sustainable practices is being surpassed by a new age of corporations actively transforming the market to make it more sustainable. Open access to this article is made possible by The Regents of the University of Michigan on behalf of the Erb Institute.

The Greening of Wal-Mart - Thumbnail

The Greening of Wal-Mart

By Erica L. Plambeck & Lyn Denend 5

For much of its history, Wal-Mart’s corporate management team toiled inside its “Bentonville Bubble,” narrowly focused on operational efficiency, growth, and profits. But now the world's largest retailer has widened its sights, building networks of employees, nonprofits, government agencies, and suppliers to “green” its supply chains. Here's how and why the world’s largest retailer is using a network approach to decrease its environmental footprint – and to increase its profitability.

The Case for Causal AI

By Sema K. Sgaier, Vincent Huang & Grace Charles 3

Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help identify the most effective levers for change.