用偏最小二乘结构方程建模方法分析意大利农场的专业化和管理

IF 1.2 Q3 GEOGRAPHY European Countryside Pub Date : 2022-06-01 DOI:10.2478/euco-2022-0018
N. Galluzzo
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引用次数: 0

摘要

利用意大利农场会计数据网络发布的数据,本研究调查了通过共同农业政策分配的劳动力、资产、作物、成本和财政补贴等某些变量是否能够对意大利农场的管理和生产专业化起作用,并重点评估了2004-2019年期间8种主要农业类型中这些变量与相关项目之间存在的主要关系。结果表明,虽然耕作方式对农场管理有影响,但通过共同农业政策分配的财政补贴的影响有所不同。本研究通过PLSSEM调查农场专业化和农场管理之间存在的主要关系,填补了文献中的空白。这样就可以确定哪些变量对意大利农场的管理影响最大。
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Analysis of Specialisation and Management in Italian Farms Through a Partial Least Square-Structural Equation Modelling Approach
Abstract Using Italian data published by the Farm Accountancy Data Network, this study investigates whether certain variables such as labour, assets, crops, cost, and financial subsides allocated through the Common Agricultural Policy are able to act on the management and on the productive specialisation of Italian farms, and focuses on assessing the main relationships that exist between these variables and the items correlated to them in 8 main types of farming for the period 2004–2019. The results have revealed that while the type of farming practiced has had an influence on farm management, the impact of financial subsides allocated through the CAP has differed. This research fills a gap in the literature by investigating the main relationships that exist between farm specialisation and farm management through the PLSSEM. that enables the identification of which variables have the greatest influence on the management of Italian farms.
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来源期刊
CiteScore
2.90
自引率
12.50%
发文量
29
审稿时长
39 weeks
期刊介绍: European Countryside scope: ecology of rural landscape, rural sociology, demography and gender, multi-functional rural development, agriculture and other branches, rural geography, rural borderland, rural and agro-tourism, rural settlement, small towns as centers of rural micro-regions, rural planning and architecture.
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