Tourist Behavioral Intentions Under Destination Revitalization Policies in China

China-based experimental data from 1019 participants collected between October 2023 and February 2024 investigates the impact of policy styles on tourist behavior. The dataset includes results from a qualitative pilot study with 64 interview transcripts and three scenario-based and field experiments measuring social judgments and behavioral intentions. Author Wen Qin conducted this multi-method study involving potential tourists and on-site visitors.

Use Cases

• Analyze the effect of rigid versus flexible policy conditions on measures of perceived warmth and perceived competence.
• Model travel behavioral intention as a function of experimental condition assignment and temporal distance using data from 420 participants in a 2x2 field experiment.
• Examine the relationship between social judgment measures and behaviorally grounded choices, such as hotel accommodation coupon selection, from 265 on-site tourists.
• Use coded interview transcripts from 64 tourists to identify themes informing the development of experimental stimuli and measurement instruments.

Strengths

• Multi-method design combines qualitative data from 64 interview transcripts with quantitative data from 1019 experimental participants.
• Data collection includes both controlled online scenarios and field experiments with on-site tourists, enhancing ecological validity.
• Explicit measurement of key constructs like perceived warmth, perceived competence, and travel behavioral intention across multiple studies.

Limitations

• Geographic scope is limited to China, which may limit generalizability of findings to other cultural or tourism contexts.
• The dataset comprises multiple separate studies (pilot, Study 2, Study 3, Study 4), requiring integration for a unified analysis.
• Behavioral measures are operationalized through specific proxies like coupon acceptance, which may not capture full real-world travel decisions.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

Multi-method empirical investigation comprising semi-structured interviews and randomized online and field experiments.

Time Range

October 2023 to February 2024

Freshness

Data collected between October 2023 and February 2024, with a record last updated in February 2026.

Geography

China