农民对在农业环境政策背景下使用数字技术的态度

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-09-10 DOI:10.1016/j.agsy.2024.104129
Rubén Granado-Díaz , Sergio Colombo , Marina Romero-Varo , Anastasio J. Villanueva
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引用次数: 0

摘要

背景环境政策越来越依赖数字化来提高效率。本文通过对农民在这种情况下的态度进行定量分析,重点关注数字技术在基于结果的农业环境政策实施中的应用,从而为相关文献做出贡献:地中海橡树稀树草原 (dehesa) 和坡地橄榄园 (SOG)。评估依赖于使用西班牙南部农民大样本调查数据进行的潜类分析。结果和结论结果表明,农民的态度具有高度的异质性,确定了三个不同的农民类别:积极主动型、怀疑型和勉强型农民(成员概率分别为 0.62、0.25 和 0.13),他们对在环境政策中使用数字技术的态度基本表现为积极、混合和消极。农场和农民的特征(尤其是农场的主要农业系统、家庭劳动力使用情况、农民的教育水平和年龄)、农民的态度(对环境结果及其认证的态度)以及特定农业系统的特征(经济依赖性)决定了农民的类别归属。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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.

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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
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.
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