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Record W234929446

The Deregulation That Wasn't

2001· article· en· W234929446 on OpenAlexaboutno aff
James B. Robb, Anthony Sugalski

Bibliographic record

VenueThe McKinsey Quarterly · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsDeregulationLegislationCommissionBusinessEnergy policyState (computer science)LegislatureEconomicsMarket economyPublic administrationFinanceLawPolitical scienceEngineeringRenewable energy
DOInot available

Abstract

fetched live from OpenAlex

California's energy crisis has been stoked by the excessive revision of rules--in a supposedly deregulated market. A recent survey [1] of public-utility commissioners in the United States showed that nearly 75 percent intended to halt their efforts as a result of the ongoing energy debacle in California. Governments around the world are also rethinking their plans to deregulate. A reasonable reaction, given the severity of California's crisis? Yes, except that California's energy deregulation was anything but. In an Orwellian irony, it actually increased the amount of regulation and enlarged the regulatory complex. Since the passage of legislation that supposedly deregulated California's energy markets in 1996, the crew of regulatory bodies that oversee the state's energy markets and the state legislature have imposed an average of one regulatory change every three weeks. And these were no minor alterations; many involved adjustments to retail and wholesale pricing or to environmental requirements. Each one changed the return that power suppliers could expect on an investment in energy generation facilities. Small wonder that no new power plants have been built in the state in the past decade, even as demand was steadily rising. California's energy markets now actually have more than a dozen regulatory bodies watching over them, including the California Public Utilities Commission, the California Energy Commission (CEC), and numerous Air Quality Management Districts. No single organization is ultimately in charge and held accountable. For example, the CEC, which oversees the permitting process for energy companies that want to build large power plants in California, follows a very basic roadmap, but many smaller state and local authorities have the ability to drag out or block the process. Local officials, all too easily swayed by activist single-interest citizens' groups focusing, for example, on the environment, endangered species, or the quality of life, frequently move to block projects. Yet they do not bear responsibility for the consequences of their actions--in this case, a fundamental shortage of supply. Consider what happened in San Diego last summer. From the time local retail prices started running up--one of the first clear signs of the crisis to come--the utility industry was bombarded by 16 legislative bills, 35 legislative amendments, and a torrent of regulatory changes. The result has been an atmosphere of great uncertainty compounded by the fact that utility commissions cannot bind themselves in the future, so a deal is never really a deal. Another consequence is the fact that obtaining a permit to construct an energy production facility in California takes more than twice as long as it does in many other US states and costs far more. Indeed, the total cost of going through the process in California can be 20 times higher than in Texas (and 50 times higher than in Brazil). Some deregulation. Finding the right regulatory focus Through our work for the Bay Area Economic Forum, a partnership of local governments and businesses in San Francisco and Silicon Valley, we have come to believe that an arduous permitting process and greater oversight are not necessary to protect California's sensitive environment. Other markets have standards that are as strict or stricter, but the companies and regulators within these markets can move more swiftly and with greater certainty. Take Canada, a country that has tougher environmental standards, on the whole, than most parts of the United States but still plays host to natural-resource-based industries, including chemicals, mining, oil and gas, power, and pulp and paper. Although these industries are major contributors to air and water pollution, they have shown that they can adapt to tougher regulation and are willing to make large investments to comply with stringent standards because they know that the rules are not going to change days after they invest millions. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0090.009
Open science0.0020.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0250.008

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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2001
Admission routes1
Has abstractyes

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Same venueThe McKinsey QuarterlySame topicAmerican Environmental and Regional HistoryFrench-language works237,207