Can Local Actors Foster a More Inclusive and Sustainable Model of Economic Development? The Role of Business Improvement Areas in the “New” Industrial Policy
Bibliographic record
Abstract
A growing body of evidence links differing managerial practices, specifically ones addressing environmental sustainability and the management of people, to variations in performance observed across firms and countries. Firms (and by extension jurisdictions) that invest in better environmental policies (sustainability) and that empower workers (inclusivity) tend to outperform, over the long run, those that do not. Despite the gains associated with these inclusive and sustainable management techniques, large differences in the adoption of even the most basic management practices persist. We premise this article on an institution that can lower the costs of gaining best practice knowledge and help in the successful transfer of tacit knowledge—the business improvement association (BIA). After presenting evidence of managerial best practices, we look at what BIAs are currently doing (as well as what they can do) for the small- to medium-sized, independently owned firms that constitute their membership. We go on to show that local BIA efforts, occurring as they do within large urban centres and targeting firms often neglected in national-level approaches, can do more than even ‘new’ industrial policies advocated by some policy makers to help foster a more inclusive and sustainable form of economic development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".