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Record W7071208571

Scottish Business Monitor Q2 2023 : Scottish Government's Relationship with the Business Community

2023· other· en· W7071208571 on OpenAlexaboutno aff

Bibliographic record

VenueStrathprints: The University of Strathclyde institutional repository (University of Strathclyde) · 2023
Typeother
Languageen
FieldMathematics
TopicCensus and Population Estimation
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)General partnershipQuarter (Canadian coin)HospitalityRevenueService (business)
DOInot available

Abstract

fetched live from OpenAlex

Just 9% of Scottish firms agree that the Scottish Government understands the business environment in Scotland, compared to 64% of businesses that disagree according to the latest Fraser of Allander Institute Scottish Business Monitor (SBM) report. Produced in partnership with Addleshaw Goddard, the report on the second quarter of 2023 surveyed over 400 firms from across the Scottish economy in July and August. Against the backdrop of the Scottish Government's 'New Deal for Business', the Institute asked a series of questions relating to firms' views of their relationship with the Scottish Government. The report finds that just 8% of businesses agreed that the Scottish Government engages effectively with their sector, with 67% of firms disagreeing. A slightly better 19% of surveyed firms agreed that if they wish, they know an effective route to influence Scottish Government policy, while 39% of firms disagreed. The latest analysis also finds that larger firms typically disagree more strongly than smaller firms when it comes to whether the Scottish Government understands the business environment in Scotland or engages effectively with their sector. Strathclyde University's Fraser of Allander Institute has introduced these questions to allow the Scottish Government and the business community in Scotland to understand how the relationship between the sectors is changing. This could help assess the effectiveness of the "New Deal for Business". These questions will be monitored annually to report on progress. Other key findings include: - 80% of hospitality firms and 92% of other service activities businesses disagreed with the statement that the Scottish Government understands the business environment, the highest disapprovals of any sector. - 86% of firms with more than 100 employees and 73% of firms with under 100 employees felt that the Scottish Government did not understand the business environment. - 92% of other service activities, 77% of construction, and 72% of retail firms disagreed that the Scottish Government engages effectively with their sector. - Larger firms had a higher rate of firms feeling that government engages ineffectively, with 90% of firms with 250+ employees and 72% of firms with 1-10 employees disagreeing with the statement that the Scottish Government engages effectively. - 50% of other service activities and 48% of professional services responded that they did not know an effective route to influence Scottish Government policy, the highest of any sectors. - Unlike previous questions, smaller businesses were more likely to not know an effective route to influence policy. Professor Mairi Spowage, Director of the Fraser of Allander Institute, said: "These results are obviously pretty disappointing for the Government, with the vast majority of businesses not feeling that the government understands business or that they engage effectively. However, they underline the importance of the Scottish Government resetting their relationship with business. It is therefore more important than ever that the New Deal for Business leads to changes in approach in the future. These indicators can help us track progress over time – and hopefully see improvements in the relationship." David Anderson, Head of Corporate at Addleshaw Goddard in Scotland, said: "Developing the best environment to do business is essential for the economy to thrive so it's important for policymakers to be aware of the sentiment among business leaders in this regard, the good and the not-so good. These results are very timely and speak to the frustrations that businesses are clearly feeling. More than anything, however, the findings emphasise the need for business and government to come together and engage more effectively – working in partnership with the business community is what the New Deal of Business is about and these figures provide a benchmark as we move forward."

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.037
GPT teacher head0.233
Teacher spread0.197 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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