Survey of Sustainable Clothing Purchase Intention and Behavior Among Chinese Consumers

A 2026 survey of 582 Chinese consumers living in urbanized and economically advanced regions examines sustainable clothing consumption. The dataset, created by Leo Manansala and shared under CC-BY-4.0, likely contains responses on attitudes, norms, knowledge, and concerns influencing purchase intention and behavior. Structural equation modeling was used to analyze the data, which includes moderating factors like greenwashing and perceived risks.

Use Cases

• Modeling the drivers of sustainable purchase intention based on attitudes, subjective norms, and environmental knowledge.
• Analyzing the moderating effect of greenwashing on the relationship between consumer predictors and purchase intention.
• Investigating how aesthetic and economic risks influence the translation of purchase intention into actual behavior.
• Testing theoretical frameworks like the Theory of Planned Behavior and Knowledge–Attitude–Behavior model in a Chinese market context.

Strengths

• Survey includes 582 respondents, providing a substantive sample size for analysis.
• Model demonstrated an acceptable to excellent fit across multiple indices, suggesting robust findings.
• Data is shared under a permissive CC-BY-4.0 license, allowing for wide reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to consumers in China's most urbanized and economically advanced regions, which may not be nationally representative.

Provenance

Source

figshare

Collection Method

Survey of Chinese consumers, analyzed using structural equation modeling (SEM).

Freshness

Last updated 2026-05-27 08:05:59; freshness should be verified.

Geography

China (specifically urbanized and economically advanced regions)