Barcelona Economic Newsflash. No. 23
Notice bibliographique
Résumé
❑ Visitor Economy HIGHLIGHTS ❑ In the second quarter of 2024, Barcelona's economy showed quicker growth and a +3.8% year-onyear increase in Gross Domestic Product, which is higher than the economies of Catalonia (+3.0%),Spain (+3.1%) and especially the European Union (+0.8%).The city's GDP is now 8.2% higher -in real terms -than prior to the pandemic. ❑The forecasts improve expectations and estimate the growth in the Catalan GDP at 3% for 2024 (5 decimal points over the July forecast).❑ Inflation in September dropped below 2% for the first time in three years, and the 12-month Euribor is under 3 points for the first time since November 2022.❑ Disposable household income (DHI) has also shown a significant increase (+9.4 % year-on-year) in Q2 thanks to the dynamic behaviour of mixed income.With this trend, the DHI stands at 25% over the pre-pandemic in nominal terms and 5% in real terms.❑ The job market is creating jobs in Barcelona at a good pace and has recorded the highest number of people affiliated with Social Security in a month of September -1,227,111 people, with a year-on-year increase of +2.4% and 28,827 contributors.❑ By sectors, in the period 2019-2024 the majority of the city's economic sectors have contributed to net job creation, with a notable increase of almost 29,000 jobs in the information and communication sector, more than 24,000 in corporate services, 18,000 in education, and more than 13,000 in healthcare activities and social services.❑ Registered unemployment showed slightly unfavourable year-on-year behaviour in September, standing at +0.9% and an increase of 552 people, but it is still at one of the lowest levels since 2008.In the third quarter of 2024, Barcelona had an unemployment rate of 7.5% according to the Labour Force Survey (LFS), which is similar to the rate in the third quarter of 2023 (7.3%).❑ Regarding job quality, permanent contracts have hit a historical record, accounting for 43.7% of total contracts from January to September.❑ In the first eight months of the year, many new companies were incorporated in Barcelona (+6.3%), and some of the strategic sectors have shown significant upticks, especially ICT (19.5%), the blue economy (16.7%), tourism (16.1%), the agri-food sector (15.6%) and the creative sectors (7.1%).❑ The office market in Barcelona confirms the market's reactivation which began in the fourth quarter of 2023, with 217,000 m 2 contracted in the first nine months (50.2% more than the previous year) and a particularly favourable trend in new business areas -like 22@ -and the city centre/CBD.The office vacancy rate in the city as a whole stands at 12.3%.❑ Exports of goods from the Barcelona area showed a year-on-year decline of 6.3% in the first eight months of the year -in line with Europe as a whole -after the dynamism of 2023.The province still leads the export ranking in Spain.❑ In 2024, Catalonia recorded the highest number of foreign company subsidiaries (9,602), 68% more than 10 years ago, and these subsidiaries generate 18.2% of total jobs.❑ Productive foreign investment in Catalonia in the first half of 2024 totalled €1.76 B, with a yearon-year increase of 112.9%.❑ Container traffic in the Port of Barcelona was dynamic (+21.4% year-on-year) and there was a record number of passengers at Josep Tarradellas airport from January to September, with more than 41.9 million passengers.❑ The dynamic job market in strategic sectors continued, especially in the digital, visitor economy and creative sectors (with year-on-year increases of +4.0, +3.9 and +3.1%, respectively).❑ International tourism is driving the recovery in consumer spending in the period when the agreement to open Sundays is in force.It rose +12.6%, 3 times more than Spanish tourism expenditure.❑ In September, 29.1% of the tourists who visited Barcelona did so for professional reasons, more than 13 points over the months of July and August.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,469 | 0,398 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».