4.6 Article

Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation

Journal

SUSTAINABILITY
Volume 14, Issue 15, Pages -

Publisher

MDPI
DOI: 10.3390/su14159114

Keywords

vertical farming; decomposed theory of planned behavior; partial least squares structural equation modeling; public acceptance; behavioral intention

Funding

  1. National Natural Science Foundation of China [51708283]
  2. Natural Science Foundation of Jiangsu Province [BK20171011]
  3. Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX22_1359]

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Vertical farming is a new branch of urban agriculture that uses indoor vertical space and soil-less cultivation technology. Although it has many advantages, it still faces challenges such as high energy consumption, costs, and a lack of social acceptance. This study investigates the influence of public acceptance on micro-vertical farming and finds that age, education level, and living area significantly impact behavioral intentions. The findings highlight the perceived usefulness of vertical farming as the most critical factor driving public adoption.
Vertical farming is a new branch of urban agriculture using indoor vertical space and soil-less cultivation technology to obtain agricultural products. Despite its many advantages over traditional farming, it still faces some challenges and obstacles, including high energy consumption and costs, as well as uncertainty and a lack of social acceptance. This study aims to investigate the influence of public acceptance on micro-vertical farming based on the deconstructed theory of planned behavior model. This model is adopted for statistical analysis to reveal the factors and their weights in influencing people's behavioral intentions. The results indicate that the overall mean of the public's behavioral intentions to use vertical farming is 3.9, which is above neutral (M = 3.00) but less than positive (M = 4.00). Differences in age, education level, and the living area of the public have significantly impacted behavioral intentions. Meanwhile, the statistical results support the hypotheses concerning the behavioral attitudes, subjective norms, and perceived behavioral control of the model, and also demonstrate that their decomposed belief structures considerably influence the public's behavioral intentions to use vertical farming. Notably, perceived usefulness is the most critical driving factor in planting using vertical farming. The findings of this study contribute to better predictions of the effects of different elements of behavioral intention on vertical farming at the urban scale, which may provide a basis for decision making in the development of sustainable urban agriculture.

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