Rubén Granado-Díaz , Sergio Colombo , Marina Romero-Varo , Anastasio J. Villanueva
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The assessment relies on a latent class analysis using survey data from a large sample of southern Spanish farmers. In addition, a Step-3 model was used to identify determinants of farmers' class membership.</p></div><div><h3>RESULTS AND CONCLUSIONS</h3><p>The results show a high degree of heterogeneity in farmers' attitudes, with three different classes of farmers identified: proactive, skeptical, and reluctant farmers (membership probability of 0.62, 0.25, and 0.13, respectively), basically showing positive, mixed, and negative attitudes toward using digital technologies in environmental policies. Class belonging is determined by farm and farmer characteristics (especially the farm's main agri-system, family labor use, and farmer's education level and age), farmer attitudes (toward environmental results and their certification), and specific agri-system features (economic dependence).</p></div><div><h3>SIGNIFICANCE</h3><p>The results are useful for better tailoring digitally-based agri-environmental policies; the diverse costs and benefits that different farmers can expect from the introduction of digital technologies in policy implementation and monitoring should be carefully considered.</p></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"221 ","pages":"Article 104129"},"PeriodicalIF":6.1000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0308521X24002798/pdfft?md5=c4e90cf3cccf615c1b64c4e90368796b&pid=1-s2.0-S0308521X24002798-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Farmers' attitudes toward the use of digital technologies in the context of agri-environmental policies\",\"authors\":\"Rubén Granado-Díaz , Sergio Colombo , Marina Romero-Varo , Anastasio J. 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In addition, a Step-3 model was used to identify determinants of farmers' class membership.</p></div><div><h3>RESULTS AND CONCLUSIONS</h3><p>The results show a high degree of heterogeneity in farmers' attitudes, with three different classes of farmers identified: proactive, skeptical, and reluctant farmers (membership probability of 0.62, 0.25, and 0.13, respectively), basically showing positive, mixed, and negative attitudes toward using digital technologies in environmental policies. 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Farmers' attitudes toward the use of digital technologies in the context of agri-environmental policies
CONTEXT
Environmental policies are increasingly relying on digitalization to improve efficiency. However, there is still a lack of knowledge on farmers' attitudes toward digitally-based environmental policies.
OBJECTIVE
This paper contributes to the literature by providing quantitative insights on farmers' attitudes in such contexts, focusing on the use of digital technologies for the implementation of results-based agri-environmental policy.
METHODS
The analysis focuses on the case study of the implementation of innovative, digitally- and results-based agri-environment and climate schemes in two Mediterranean agri-systems: Mediterranean oak savannah (dehesa) and sloping olive groves (SOG). The assessment relies on a latent class analysis using survey data from a large sample of southern Spanish farmers. In addition, a Step-3 model was used to identify determinants of farmers' class membership.
RESULTS AND CONCLUSIONS
The results show a high degree of heterogeneity in farmers' attitudes, with three different classes of farmers identified: proactive, skeptical, and reluctant farmers (membership probability of 0.62, 0.25, and 0.13, respectively), basically showing positive, mixed, and negative attitudes toward using digital technologies in environmental policies. Class belonging is determined by farm and farmer characteristics (especially the farm's main agri-system, family labor use, and farmer's education level and age), farmer attitudes (toward environmental results and their certification), and specific agri-system features (economic dependence).
SIGNIFICANCE
The results are useful for better tailoring digitally-based agri-environmental policies; the diverse costs and benefits that different farmers can expect from the introduction of digital technologies in policy implementation and monitoring should be carefully considered.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.