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Forest L. Reinhardt
Forest L. Reinhardt is the John D. Black Professor of Business Administration at Harvard Business School, and HBS’s Senior Associate Dean for Faculty Promotions and Tenure.
Professor Reinhardt is interested in the relationships between market and nonmarket... View Details
- Web
Forest L. Reinhardt | About
Forest L. Reinhardt Unit Business, Government and the International Economy Contact Phone Bio Forest L. Reinhardt is the John D. Black Professor... View Details
- 23 Nov 1999
- Research & Ideas
Bringing the Environment Down to Earth
For every winner in a zero-sum contest, there is a loser. Thus if the environment wins, the company loses, and vice versa. That view is prevalent in part because it fits with the widespread perception that environmental problems are political or moral issues. Elections... View Details
Keywords: by Forest Reinhardt
- 11 May 2015
- Video
HBS Professor Forest Reinhardt on Pricing Externalities in Agriculture
- 24 Sep 2014
- Op-Ed
Stop Thinking of Climate Change as a Religious or Political Issue
You sometimes hear people say things like, "I believe in global warming" or "I don't believe in climate change." It seems odd to approach climate change in this way, as though it were a question of belief, like religion. Most of the time when we confront uncertainty in... View Details
- May 1992 (Revised August 1993)
- Case
Forest Policy in Malaysia
The governments of Malaysia and the Malaysian State of Sarawak need to assess possible changes in forest policy. Environmentalist pressure threatens traditional market relationships and patterns of business-government interaction. Harvest regulations, subsidies, trade... View Details
Keywords: Natural Environment; Policy; Government and Politics; Environmental Sustainability; Trade; Business and Government Relations; Governing Rules, Regulations, and Reforms; Forestry Industry; Forest Products Industry; Malaysia
Reinhardt, Forest L. "Forest Policy in Malaysia." Harvard Business School Case 792-099, May 1992. (Revised August 1993.)
- November 2002 (Revised May 2006)
- Case
Forest Stewardship Council
By: James E. Austin and Ezequiel Reficco
In just a few years the Forest Stewardship Council (FSC) made impressive progress toward its mission of promoting "environmentally appropriate, socially beneficial, and economically viable management of the world's forests." By 2001, 25.5 million hectares of forests in... View Details
Keywords: Finance; Corporate Governance; Management; Corporate Social Responsibility and Impact; Environmental Sustainability; Competitive Strategy
Austin, James E., and Ezequiel Reficco. "Forest Stewardship Council." Harvard Business School Case 303-047, November 2002. (Revised May 2006.)
- 08 Jan 2024
- Podcast
Forest Reinhardt on Climate Change and the Tragedy of the Commons
How can businesses navigate the complexities of climate change? Host Chris Linnane and Harvard Business School Professor Forest Reinhardt delve into that question in this episode. They discuss the tragedy of the commons, explore the challenges of creating and selling a... View Details
- 12 Jan 2022
- Podcast
Climate Change Lessons from the U.S. Navy: Forest Reinhardt & Michael Toffel
Climate change poses two very different challenges to the U.S. Navy. First, the Navy has to buttress its billions of dollars of shoreline assets against rising sea levels. Second, it has to plan to be called on more often to address both military threats and... View Details
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 01 Jul 2000
- News
What Every Executive Needs to Know About Global Warming
- April 1994 (Revised December 1994)
- Case
Alberta-Pacific Forest Industries, Inc.
Reinhardt, Forest L. "Alberta-Pacific Forest Industries, Inc." Harvard Business School Case 794-099, April 1994. (Revised December 1994.)
- September 1993 (Revised May 2005)
- Teaching Note
Forest Policy in Malaysia TN
Teaching Note for (9-792-099). View Details
- December 1994
- Teaching Note
Alberta-Pacific Forest Industries Inc. TN
- 29 Jul 2020
- Working Paper Summaries
Two Case Studies on the Financing of Forest Conservation
- April 1995 (Revised May 1995)
- Case
Metsa-Serla: Environmental Labels in the European Forest Products Markets
By: Forest L. Reinhardt and Pat Markovich
Reinhardt, Forest L., and Pat Markovich. "Metsa-Serla: Environmental Labels in the European Forest Products Markets." Harvard Business School Case 795-148, April 1995. (Revised May 1995.)
- November 1998
- Teaching Note