Q2 Environmental Science
Bowei Hu , Khahan Na-Nan , Yotsaphat Kittichotsatsawat
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引用次数: 0

摘要

随着农业部门面临越来越多的环境挑战,发展农业专业人员的绿色技能对于实现可持续发展至关重要。本研究以广西壮族自治区为研究对象,旨在开发并验证农业绿色技能综合评估量表。该研究利用人力资本和生态现代化理论来确定关键的绿色能力,包括可再生能源、可持续建筑、废物管理、节水和环境保护。该研究采用了混合方法,首先创建了一个包含23个项目的量表,然后进行探索性因素分析(EFA),以揭示绿色技能的潜在维度。采用验证性因子分析(CFA)对量表进行验证,确保量表的信度。绿色技能的七个关键维度具有较高的因子负荷和较强的模型拟合指数,证实了量表的稳健性。研究结果为评估农业劳动力的绿色技能提供了宝贵的工具,为政策制定、劳动力培训和教育项目提供了见解,以提高农业的可持续性。这项研究有助于对绿色技能的理论和实践理解,并支持全球促进可持续农业发展的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward sustainable farming: Assessing and validating green skills for agricultural professionals in China
As the agricultural sector faces increasing environmental challenges, developing green skills among agricultural professionals is critical for achieving sustainability. This study aims to develop and validate a comprehensive scale for assessing green skills in agriculture, focusing on China's Guangxi Zhuang Autonomous Region. The research draws on human capital and ecological modernization theories to identify key green competencies, including renewable energy, sustainable construction, waste management, water conservation, and environmental conservation. The study employed a mixed-method approach, beginning with the creation of a 23-item scale followed by exploratory factor analysis (EFA) to uncover the underlying dimensions of green skills. Confirmatory factor analysis (CFA) was then used to validate the scale and ensure its reliability. Seven key dimensions of green skills were identified, with high factor loadings and strong model fit indices, confirming the scale's robustness. The findings provide a valuable tool for assessing green skills in the agricultural workforce, offering insights for policy development, workforce training, and educational programs to enhance sustainability in agriculture. This research contributes to the theoretical and practical understanding of green skills and supports global efforts to promote sustainable agricultural development.
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来源期刊
Environmental Challenges
Environmental Challenges Environmental Science-Environmental Engineering
CiteScore
8.00
自引率
0.00%
发文量
249
审稿时长
8 weeks
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