Schengen visa marketing in China: the street-level competition to attract tourists to Europe
Bibliographic record
Abstract
Before COVID-19, visitors from China, were a prime target for the European tourism industries. Yet, their mobility was constrained by the Schengen visa requirement for any trip to a European Union (EU)’s Member States. While the literature on Schengen visa policy has highlighted the repressive practices of street-level bureaucrats processing visa applications abroad, this article seeks to understand how Schengen visa policy is implemented when the objective is to attract potential visitors rather than drive them away. The paper argues that the economic imperative to attract Chinese tourists to Europe is turning local consular cooperation from Schengen into local consular competition. To support this claim and using ethnographic methods as well as a relational approach to implementation, the paper develops the concept of visa marketing to analyse the race to attractiveness between French and Italian consulates based in Beijing, the capital of China. Visa marketing refers to the use of visa procedures (receipt conditions, reliability, processing speed, etc.) by consulates as sales arguments to advertise the destination they represent. In essence, the article presents a case of domestic actors appropriating common visa regimes, engaging in competition to entice foreign consumers to their territories.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".