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摘要翻译：
在过去的几十年里，公共政策成为支持和稳定农业部门的核心支柱。1962年，欧盟决策者制定了所谓的共同农业政策(CAP)，以确保农产品的竞争力和共同市场组织，而2003年的改革将共同农业政策与生产脱钩，只关注收入稳定和农业部门的可持续性。尽管农民高度依赖公共支持，但关于联合呼吁程序在促进农业绩效方面所起作用的文献仍然很少和零散。实际的上限政策加大了欧盟中北部国家和周边地区之间的绩效差异。本文旨在以意大利落后地区为研究对象，评估CAP在激励绩效方面的有效性。此外，农业部门深深植根于以地方为基础的生产过程。从这个意义上说，经济分析如果忽略了空间依赖性的存在，就会产生对绩效的偏颇估计。因此，本文利用农业会计数据网(FADN)中的RICA数据集的补贴和经济效益数据，提出了一个空间增广的柯布-道格拉斯生产函数来评价补贴对农场绩效的影响。本文的主要创新之处在于实施了一个微观分位数版本的空间滞后模型，以检验补贴的影响如何在农业绩效的条件分布中变化。结果显示，在中位数由负向正转换的形状越来越大，对于较高的分位数变得有统计学意义。此外，空间自相关参数在所有条件分布中均为正且显著，表明农业绩效存在显著的空间溢出。
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英文标题：
《Does agricultural subsidies foster Italian southern farms? A Spatial
Quantile Regression Approach》
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作者：
Marusca De Castris, Daniele Di Gennaro
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最新提交年份：
2018
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分类信息：
一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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一级分类：Statistics 统计学
二级分类：Applications 应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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英文摘要：
During the last decades, public policies become a central pillar in supporting and stabilising agricultural sector. In 1962, EU policy-makers developed the so-called Common Agricultural Policy (CAP) to ensure competitiveness and a common market organisation for agricultural products, while 2003 reform decouple the CAP from the production to focus only on income stabilization and the sustainability of agricultural sector. Notwithstanding farmers are highly dependent to public support, literature on the role played by the CAP in fostering agricultural performances is still scarce and fragmented. Actual CAP policies increases performance differentials between Northern Central EU countries and peripheral regions. This paper aims to evaluate the effectiveness of CAP in stimulate performances by focusing on Italian lagged Regions. Moreover, agricultural sector is deeply rooted in place-based production processes. In this sense, economic analysis which omit the presence of spatial dependence produce biased estimates of the performances. Therefore, this paper, using data on subsidies and economic results of farms from the RICA dataset which is part of the Farm Accountancy Data Network (FADN), proposes a spatial Augmented Cobb-Douglas Production Function to evaluate the effects of subsidies on farm's performances. The major innovation in this paper is the implementation of a micro-founded quantile version of a spatial lag model to examine how the impact of the subsidies may vary across the conditional distribution of agricultural performances. Results show an increasing shape which switch from negative to positive at the median and becomes statistical significant for higher quantiles. Additionally, spatial autocorrelation parameter is positive and significant across all the conditional distribution, suggesting the presence of significant spatial spillovers in agricultural performances.
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PDF链接：
https://arxiv.org/pdf/1803.05659
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