Regional Policy to Increase the Local Brand Attractiveness-The Case of Cap Energies-Corsica Business Cluster in Renewable Energy Field
Bibliographic record
Abstract
Renewable Energy has grown to become part of mainstream economics, industry and energy. The process started in the wake of oil shortages amid the 1970s energy crisis, when the major industrial countries of the world sought out an array of energy security strategies. Diversifying energy import–export trade, restructuring GDP, and increasing and backing home-sourced offers are all basic essential measures that different countries have adopted to different degrees in an effort to reduce dependency on imported oil. The last of these measures counts renewable energy as a vector of local generation. The past decade has seen the renewable energy sector really take off, driven by now well-structured industries starting to mobilize now-mature technologies. This developmental shift towards renewable energy has been framed by different policy measures that nevertheless share the same core rationale climate change. Among the pro-renewables policies adopted by France, the deployment of competitive clusters has proved an effective tool for leveraging the growth of renewables. Business clusters are geographically-concentrated economic structures assuring the often tenuous link between efficient national industrial policy efforts and regional planning and branding issues. From this perspective, the logic of synergy by connecting global to local issues remains to be created around a new paradigm: regional attractiveness/place branding. In today’s fast-globalizing world, the much-hyped concept of place branding has become critical for regions in fierce global competition to capture and secure geographically-mobile investment. In this context, promoting and attracting inward investment is a multidimensional challenge where business clusters have a pivotal role to play. Corsica, a small island economy, represents a case-in-point target of analysis through its long-standing PADDUC project (French decentralization policy on Corsica under the law dated 22 January 2002) and the CAPENERGIES business cluster a key link in the technological research strand, entrusted with the overriding role of leading the island’s transition toward decentralized energy independency. After highlighting the innovative technological approach of promoting socio-economic fabric as one of the key foundations to structured economic development and regional branding, this paper goes on to outline the joint-effect impacts of development of the CAPENERGIES competitive cluster in tandem with the process to find technology-centred solutions to drive development of the “renewable energy” industry in an island economy like Corsica.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".