Z代和Y代成员接受转基因食品的驱动因素:来自计划行为框架理论的见解

Jorge de Andrés-Sánchez , María Puelles-Gallo , Mar Souto-Romero , Mario Arias-Oliva
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引用次数: 0

摘要

20世纪90年代中期出现的转基因食品(GMF)使人们能够开发出更实惠、更可持续的产品,与传统产品相比,这些产品具有更强的特性。然而,它们在西班牙等欧盟国家的消费仍然有限。本文建立了一个基于计划行为理论的模型,考虑了感知价值(PV)、感知有用性(PU)、感知风险(PR)、新食物恐惧症(NPH)、社会影响(SI)、性别和年龄等因素,来解释使用转基因食品的行为意向(BI)。随后,在“变焦一代”(Z世代)和“千禧一代”(Y世代)的样本中进行测试。结构方程模型显示,PV、PU、SI和属于Z世代(GENZ)对BI有显著的正向影响,而PR对BI有显著的负向影响。此外,分位数回归证实,PU和SI是最具影响力的变量,因为它们在分析的分位数中保持一致的积极影响。PV、PR和GENZ的影响在所有分位数回归中也保持一致。然而,虽然PV和PR在大多数百分位数中显示显著系数,但GENZ仅在BI范围的极端情况下才显着。简而言之,PU和SI是行为意向最强的积极预测因素,而PR则是一种持续的威慑因素。Z世代的成员更倾向于接受转基因食品,尤其是在BI的极端情况下。分析结果对转基因食品的成功实施具有各种实际意义,这在本研究中进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drivers of genetically modified food acceptance in members of generations Z and Y: Insights from a theory of planned behavior framework
Genetically modified food (GMF), which emerged in the mid-1990s, have enabled the development of more affordable, sustainable products with enhanced characteristics compared to their conventional counterparts. However, their consumption in European Union countries such as Spain remains limited. This paper develops a model based on the theory of planned behavior to explain the behavioral intention (BI) to use GMF, considering perceived value (PV), perceived usefulness (PU), perceived risk (PR), food neophobia (NPH), social influence (SI), gender, and age. Subsequently, it is tested in a sample of zoomers (members of Generation Z) and millennials (members of the Generation Y). Structural equation modeling reveals that PV, PU, SI, and belonging to Generation Z (GENZ) have a significantly positive influence on BI, while PR has a negative impact. Additionally, quantile regressions confirm that PU and SI are the most influential variables, as they maintain a consistent positive impact in the analyzed quantiles. The influence of PV, PR, and GENZ also remained consistent in sign in all quantile regressions. However, while PV and PR showed significant coefficients in most percentiles, GENZ was significant only at the extremes of the BI range. In a nutshell, PU and SI are the strongest positive predictors of behavioral intention, while PR acts as a consistent deterrent. Members of generation Z show higher predisposition toward GMF acceptance, particularly at the extremes of BI. The results of the analysis have various practical implications for the successful implementation of GMF, which are discussed in this study.
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