Survey Dataset on Consumer Acceptance of Cultured Meat in India
Description
This dataset contains cleaned survey data collected among consumers residing in India to examine awareness, attitudes, perceived social influence, perceived behavioural control, intention to try or purchase cultured meat, and selected psychological perceptions related to cultured meat. The dataset includes 257 respondents and 22 variables. The questionnaire was based on the Theory of Planned Behaviour and included the following sections: prior awareness of cultured meat, attitude toward trying cultured meat, subjective norms, perceived behavioural control, behavioural intention, additional psychological determinants, and demographic characteristics. Respondents evaluated most psychological constructs using 7-point Likert-type or semantic differential scales. The dataset includes one awareness variable (Q1), four attitude items (A1–A4), two subjective norm items (D1–D2), two perceived behavioural control items (E1–E2), two behavioural intention items (F1–F2), and four additional psychological perception items (G1–G4), including perceived unnaturalness, disgust, perceived potential to reduce animal suffering, and concern about unknown long-term health effects. Demographic variables include age, gender, dietary pattern, country of residence, education level, place of residence, and self-rated financial situation. All respondents reported India as their country of residence. The sample includes both regular meat consumers and respondents limiting meat consumption, as well as vegetarian and vegan participants. The dataset is suitable for descriptive analysis, psychometric assessment of short TPB-based scales, group comparisons, regression modelling, and exploratory analyses of consumer acceptance of cultured meat in the Indian context. The file is provided in Excel format and contains cleaned individual-level responses. Missing values are minimal and occur mainly in several additional psychological perception items. Before advanced modelling, researchers are advised to inspect the age variable, as a small number of entries may require additional harmonisation due to non-numeric responses.
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Institutions
- University of Life Sciences in PoznańGreater Poland, Poznan