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Enregistrement W2999710734 · doi:10.13140/rg.2.2.14410.93121

Cross Border Innovation Economies: The Cascadia Innovation Corridor case

2019· article· en· W2999710734 sur OpenAlex
Francesco Cappellano

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Notice bibliographique

RevueWestern CEDAR (Western Washington University) · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueRegional Development and Policy
Établissements canadiensnon disponible
Organismes subventionnairesWestern Washington University
Mots-clésBusinessEconomic geographyEconomyInternational tradeEconomicsRegional scienceGeography

Résumé

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In the recent literature on economic geography, cross-border regions have been highly heralded as potential sources for reaping the benefits of innovation (OECD, 2013). In fact, those regions have gained a reputation as being endowed with comparative advantages to compete in global markets (Vance, 2012). However, the types of processes that are occurring in the region, which act as hindrances (or barriers) to cross-border knowledge flows, have remained a significant but understudied topic in the academic literature. The same lack of understanding is widespread among the policy makers engaged in cross-border issues, specifically in terms of improved Cross Border Cooperation (CBC) management. This research project addresses this timely topic by evaluating the effects of the international border between Washington State, U.S. and British Columbia, Canada. This cross-border region, also known as “Cascadia,” possesses a unique combination of assets, including human capital, universities, investments, and financial capital, that enable the cross-border region’s innovation economy to compete globally (Andersen & Wenstrup, 2016). These assets have been supported by local public and private actors (Brunet-Jailly, 2008) and targeted innovation policies aimed at promoting the region as a world-class innovation hub. The object of this study is the Cascadia Innovation Corridor, a current innovation initiative in the region. I adopt a multidisciplinary approach to this case study, combining an economic geography perspective (different forms of proximity have been evaluated in the region), the border policy standpoint (governance implemented in the region) and a regional planning viewpoint (legacy of the Corridor and improvements to the overall strategy to strengthen the collaboration across the border). The research focuses on how tech economies are driving local economic development in Cascadia. This in-depth analysis pursues two goals, both of which are timely contributions to regional efforts: first, identifying the main drivers and hindrances affecting cross-border innovation linkages in the region; and second, developing policy recommendations that will support tighter cross-border economic cooperation. This project is based on primary data collected through a survey and interviews as well as secondary data gathered by official documents (e.g. Memorandum of Understanding further recalled), local newspapers and organizations’ reports. The work empirically gauges the ongoing degree of economic interactions in Cascadia on both sides of the border, examining the networks that exist between organizations and actors involved in the cross-border ecosystem, as well as the missing links that impede stronger collaboration. The final part of the analysis digs into the regional planning practices in the cross-border context and establishes a set of policy recommendations targeted at the cross-border cooperation process in Cascadia. This analysis confirms that the Cascadia innovation ecosystem possesses the key assets needed to ensure long-term growth. Moreover, it sheds light on the role of multinational companies which play a pivotal role in the Cascadia innovation ecosystem, which in turn still appears very ii fragmented. The analysis of the hindrances confirms that transportation infrastructure represents a shortcoming for regional development. From a policy standpoint, the federal-level U.S. political climate does create a burden impacting the economic linkages across the border in Cascadia. Finally, the analysis suggests that the role of local (city) governments is advocated to be more efficient in creating “horizontal” relationships across the border.

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Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,926
Score d'incertitude au seuil0,772

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,326
Écart entre enseignants0,295 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle