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Record W2111108102 · doi:10.1353/btf.2009.a271036

Five "Gs": Lessons from World Trade for Governing Global Climate Change

2009· article· en· W2111108102 on OpenAlexaboutno aff
William Antholis

Bibliographic record

VenueBrookings Trade Forum · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeGreenhouse gasInternational tradeCorporate governanceGlobal governanceEconomicsPolitical scienceInternational economicsFinance

Abstract

fetched live from OpenAlex

Five "Gs":Lessons from World Trade for Governing Global Climate Change William Antholis (bio) Reversing the greenhouse gas (GHG) emissions of the world's $60 trillion economy will be among the most complex international governance challenges ever—rivaling the forty-year effort to dramatically reduce tariffs and establish a rules-based trading system. Given that nearly fifteen years have passed since the completion of the last global trade pact, it is easy to forget that the World Trade Organization (WTO) stands tall among the great successes of global governance, precisely because it was so difficult to accomplish. A counterpart twin tower—a global system to address climate change—can mimic the trade regime's most successful governance principles, and learn from its structural weaknesses. Perhaps more important, as this volume's theme suggests, the two regimes need to work diligently to avoid colliding with one another. Indeed, it would be both unfortunate and ironic if a global climate regime only could succeed at the expense of the global trade regime—or vice versa. What lessons should the climate regime learn from the trade regime? It may be helpful to break the issue down into five core questions for any attempt to govern: Who governs? What is the structure of the basic governing agreement? Where is it "binding"? When can we expect the agreement to take effect? How does it bring new nations in? For each question, preliminary answers can be found in what we might think of as the five "Gs" that should govern climate change. By looking to the lessons from the WTO, I try to make the case for a climate regime that: - starts with a group of major emitters, which together - forge a general agreement to tackle the issue, one that - gears up nations' domestic action and that - organizes itself around a generational goal that - allows for the graduation of developing countries into full commitments. [End Page 121] In a few of these areas, such an approach can provide a road map to resolving potential conflicts between the two regimes. Who Governs? The Right Group of Nations, Matched to the Challenge International regimes need to be designed to their purposes. Are they debating forums? Are they negotiated agreements that govern in particular fields? Trade and climate change have both benefited considerably from both kinds of organizations. This chapter assumes that concerned nations are moving toward a governing regime for GHG emissions, and that they need mechanisms equipped to address that challenge. Since the formation of the United Nations system, two bodies have existed along side one another on the issue of global trade, one for discourse, the other for governance. The UN Conference on Trade and Development (UNCTAD) has largely functioned as a forum for assessing the twin goals and accomplishments of trade and development. Alongside it, the General Agreement on Tariffs and Trade (GATT) and its successor, the WTO, have been the governing body for global trade. Though some might find it odd to point to the WTO as a successful model of international governance (especially given recent difficulties in completing the Doha Round of multilateral trade negotiations), it is easy to forget how significant its contributions have been to both international cooperation and to economic growth over the last sixty years.1 The GATT/WTO system began as both a smaller (in terms of membership) and more ambitious (in terms of governance) world body than UNCTAD when a group of the right countries decided to work together. Lesson learned: Size matters. When it comes to global governance, it was and is easier to get things done with a smaller number of the right countries. The GATT process was managed by the biggest and most technically competent trade players—the so-called Quad of the United States, Japan, Canada, and Europe. Occasionally, when formal negotiations bogged down, the Group of Seven (and later, the Group of Eight) would weigh in to give the talks a boost, such as in 1978 and 2001, when the leaders themselves helped spur breakthroughs [End Page 122] leading, respectively, to the close of the Tokyo Round and the launch of the Doha Round. As the WTO's membership grew in size...

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.030
GPT teacher head0.314
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2009
Admission routes1
Has abstractyes

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