Corporate Responses to Climate Change: Achieving Emissions Reductions through Regulation, Self-regulation and Economic Incentives
Bibliographic record
Abstract
Part I: Introduction 1. Introduction Rory Sullivan, Insight Investment, UK 2. Corporate greenhouse gas emissions management: the state of play Rory Sullivan, Rachel Crossley and Jennifer Kozak, Insight Investment, UK Part II: Public policy: regulation, economic incentives and voluntary programmes 3. The effectiveness of climate change policy as an investment driver in the power sector William Blyth, Chatham House and Oxford Energy Associates, UK, and Rory Sullivan, Insight Investment, UK 4. The influence of climate change regulation on corporate responses: the case of emissions trading Ans Kolk and Jonatan Pinkse, University of Amsterdam Business School, The Netherlands 5. CDM and its development impact: the role and behaviour of the corporate sector in CDM projects in Indonesia Takaaki Miyaguchi and Rajib Shaw, Kyoto University, Japan 6. Encouraging innovation through government challenge programmes: a case study of PV-based boats Olga Fadeeva and Johannes Brezet, TU Delft and Cartesius Institute, The Netherlands, and Yoram Krozer, University of Twente and Cartesius Institute, The Netherlands 7. The role of voluntary industry-government partnerships in reducing greenhouse gas emissions: a case study of the USEPA Climate Leaders programme Jeffrey Apigian, Clark University, USA 8. Ten years of the Australian Greenhouse Challenge: real or illusory benefits? Rory Sullivan, Insight Investment, UK 9. The Mexico Greenhouse Gas Program: corporate responses to climate change initiatives in a 'non-Annex I' country Leticia Ozawa-Meida, SEMARNAT, Mexico, Taryn Fransen, World Resources Institute, Mexico, and Rosa Maria Jimenez-Ambriz, CESPEDES, Mexico Part III: Non-state actors and their influence on corporate climate change performance 10. The Climate Group: advancing climate change leadership Jim Walker, The Climate Group, UK 11. Climate protection partnerships: activities and achievements Oliver Salzmann, Ulrich Steger and Aileen Ionescu-Somers, IMD, Switzerland 12. The evolution of UK institutional investor interest in climate change Rory Sullivan, Insight Investment, UK, and Stephanie Pfeifer, Institutional Investors Group on Climate Change, UK 13. Reporting on climate change: the case of Lloyds TSB Andrea B. Coulson, University of Strathclyde, UK Part IV: Corporate responses and case studies 14. Curbing greenhouse gas emissions on a sectoral basis: the Cement Sustainability Initiative Timo Busch, ETH Zurich, Switzerland, Howard Klee, World Business Council for Sustainable Development, Switzerland, and Volker H. Hoffmann, ETH Zurich, Switzerland 15. Novartis: demonstrating leadership through emissions reductions Helen Mathews, University of Basel, Switzerland, and Claus-Heinrich Daub, University of Applied Sciences Northwestern, Switzerland 16. Climate change solutions at Vancity Credit Union Ian Gill and Amanda Pitre-Hayes, Vancity, Canada 17. The Pole Position project: innovating energy-efficient pumps at Grundfos Joan Thiesen and Arne Remmen, Aalborg University, Denmark 18. Responding to climate change: the role of organisational learning processes Marlen Arnold, Technische Universitat Munchen, Germany 19. Fasten your seatbelts: European airline responses to climate change turbulence Christian Engau, David Sprengel and Volker H. Hoffmann, ETH Zurich, Switzerland Part V: Closing sections 20. From good to best practice on emissions management Ryan Schuchard, Raj Sapru and Emma Stewart, Business for Social Responsibility, USA, and Rory Sullivan, Insight Investment, UK 21. Do voluntary approaches have a role to play in the response to climate change? Rory Sullivan, Insight Investment, UK 22. Setting a future direction for climate change policy Rory Sullivan, Insight Investment, UK
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".