Toma Luiza, Mathijs Erik
Department of Land Economy, Scottish Agricultural College (SAC), West Mains Road, Edinburgh, EH9 3JG, UK.
J Environ Manage. 2007 Apr;83(2):145-57. doi: 10.1016/j.jenvman.2006.02.004. Epub 2006 May 11.
This paper aims to identify the factors underlying farmers' propensity to participate in organic farming programmes in a Romanian rural region that confronts non-point source pollution. For this, we employ structural equation modelling with latent variables using a specific data set collected through an agri-environmental farm survey in 2001. The model includes one 'behavioural intention' latent variable ('propensity to participate in organic farming programmes') and five 'attitude' and 'socio-economic' latent variables ('socio-demographic characteristics', 'economic characteristics', 'agri-environmental information access', 'environmental risk perception' and 'general environmental concern'). The results indicate that, overall, the model has an adequate fit to the data. All loadings are statistically significant, supporting the theoretical basis for assignment of indicators for each latent variable. The significance tests for the structural model parameters show 'environmental risk perception' as the strongest determinant of farmers' propensity to participate in organic farming programmes.
本文旨在确定罗马尼亚一个面临非点源污染的农村地区农民参与有机农业项目倾向背后的因素。为此，我们使用2001年通过农业环境农场调查收集的特定数据集，采用带有潜在变量的结构方程模型。该模型包括一个“行为意向”潜在变量（“参与有机农业项目的倾向”）和五个“态度”及“社会经济”潜在变量（“社会人口特征”、“经济特征”、“农业环境信息获取”、“环境风险认知”和“一般环境关注”）。结果表明，总体而言，该模型与数据拟合良好。所有载荷均具有统计学意义，支持了为每个潜在变量分配指标的理论基础。结构模型参数的显著性检验表明，“环境风险认知”是农民参与有机农业项目倾向的最强决定因素。
