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农民对欧盟在波兰投资促进计划的兴趣的空间决定因素。

Spatial determinants of farmers' interest in European Union's pro-investment programs in Poland.

机构信息

Faculty of Economics, Poznan University of Life Sciences, Poznan, Poland.

Department of Computer Science and Statistics, Poznan University of Medical Sciences, Poznan, Poland.

出版信息

PLoS One. 2021 Mar 18;16(3):e0248059. doi: 10.1371/journal.pone.0248059. eCollection 2021.

DOI:10.1371/journal.pone.0248059
PMID:33735230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7971496/
Abstract

The purpose of the paper is to investigate spatial determinants of farmers' interest in pro-investment programs co-financed by the EU, by identifying and describing the territorial clusters of rural areas in Poland where the applications rates for these programs were above or below the national average. We tested for spatial autocorrelation using Moran's global spatial autocorrelation index, while the search for clusters was done using a local version of Moran's statistics. The results show significant regional variation in the farmers' interest in these programs in Poland. This interest was higher in regions with a greater level of agricultural development and better agrarian structure. In Poland, both of these factors are related not only to natural conditions, but also to strong historical context. We conclude that the pro-investment programs contribute to the deepening of development differences in Polish agriculture in the territorial dimension, which is not in line with the basic assumptions of cohesion policy.

摘要

本文旨在通过识别和描述波兰农村地区的地域集群,来研究农民对欧盟共同出资投资计划的兴趣的空间决定因素,这些地区的申请率高于或低于全国平均水平。我们使用 Moran 全局空间自相关指数检验了空间自相关,而使用 Moran 统计量的局部版本搜索了集群。结果表明,波兰农民对这些计划的兴趣存在显著的区域差异。在农业发展水平较高和农业结构较好的地区,农民对这些计划的兴趣更高。在波兰,这两个因素不仅与自然条件有关,而且与强大的历史背景有关。我们得出的结论是,投资计划有助于深化波兰农业在地域维度上的发展差异,这与凝聚力政策的基本假设不符。

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本文引用的文献

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Geographic differentiation of agritourism activities in Poland vs. cultural and natural attractiveness of destinations at district level.波兰农业旅游活动的地域差异与目的地的文化和自然吸引力在地区层面的比较。
PLoS One. 2019 Sep 20;14(9):e0222576. doi: 10.1371/journal.pone.0222576. eCollection 2019.
2
Empirical Bayes estimates of age-standardized relative risks for use in disease mapping.用于疾病地图绘制的年龄标准化相对风险的经验贝叶斯估计值。
Biometrics. 1987 Sep;43(3):671-81.