Data on Swiss grape growers’ production, pest and labour management decisions

This dataset comprises survey responses from 489 grape growers in Switzerland, focusing on their decisions related to production, pest management, risk management, behavioural factors, and labour management. The online survey was conducted in early spring 2025 and includes details on grape variety selection, farm practices, and characteristics of both the farmers and their farms. Additional data covers all other relevant pest management strategies targeting weeds, insects, and fungal threats. Farmer-specific attributes such as education, gender, age, and sources of information were recorded, alongside general labour force characteristics and perceptions regarding recruitment, and mechanization. Behavioural factors including risk and time preferences, self-efficacy, and locus of control were assessed using self-report scales. Farm-level data includes marketing approaches, labels and production systems, agri-environmental programs, and pesticide application equipment. The survey responses were linked with environmental variables-such as temperature and rainfall-and spatial data on the infection risk of <i>Oidium</i> and <i>Peronospora viticola</i>. Innovatively, the data contains the adoption stage of growers (not just binary adoption) for four key pesticide-reducing practices (i.e. the plantation of fungus-resistant varieties, the use of plant resistance inducers, inorganic materials and mechanical weeding), along with their views on influencing factors and labour demands associated with these measures. This dataset provides an extensive resource for standalone analyses on production, pest management, risk management, behavioural factors, and labour management, as well as for use in meta-analyses or as part of a panel dataset combined with previous similar surveys.

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Publication Details

Journal
Data in Brief
Published
2025-12-24
DOI
https://doi.org/10.1016/j.dib.2025.112421
Citations
1
Primary Topic
Horticultural and Viticultural Research
Type
article
Field-Weighted Citation Impact
1.75
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article

Data on Swiss grape growers’ production, pest and labour management decisions

Lucca Zachmann, Philipp Höper, Robert Finger
1 citations
Data in Brief
Horticultural and Viticultural Research
1.75
article

Data on Swiss grape growers’ production, pest and labour management decisions

Lucca Zachmann, Philipp Höper, Robert Finger
article en
1 citations

Abstract

This dataset comprises survey responses from 489 grape growers in Switzerland, focusing on their decisions related to production, pest management, risk management, behavioural factors, and labour management. The online survey was conducted in early spring 2025 and includes details on grape variety selection, farm practices, and characteristics of both the farmers and their farms. Additional data covers all other relevant pest management strategies targeting weeds, insects, and fungal threats. Farmer-specific attributes such as education, gender, age, and sources of information were recorded, alongside general labour force characteristics and perceptions regarding recruitment, and mechanization. Behavioural factors including risk and time preferences, self-efficacy, and locus of control were assessed using self-report scales. Farm-level data includes marketing approaches, labels and production systems, agri-environmental programs, and pesticide application equipment. The survey responses were linked with environmental variables-such as temperature and rainfall-and spatial data on the infection risk of <i>Oidium</i> and <i>Peronospora viticola</i>. Innovatively, the data contains the adoption stage of growers (not just binary adoption) for four key pesticide-reducing practices (i.e. the plantation of fungus-resistant varieties, the use of plant resistance inducers, inorganic materials and mechanical weeding), along with their views on influencing factors and labour demands associated with these measures. This dataset provides an extensive resource for standalone analyses on production, pest management, risk management, behavioural factors, and labour management, as well as for use in meta-analyses or as part of a panel dataset combined with previous similar surveys.

Data in BriefVol. 64
ETH Zurich (CH)
Openalex Percentile: Top 10%
Horticultural and Viticultural Research
1.75
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