首页> 外文期刊>Journal of productivity analysis >Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model
【24h】

Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model

机译:西班牙各省之间的异质溢出:广义空间随机边界模型

获取原文
获取原文并翻译 | 示例
           

摘要

This paper introduces new spatial stochastic frontier models to examine Spanish provinces' efficiency and its evolution over the period 2000-2013. We use a heteroscedastic version of the spatial stochastic frontier models introduced by Glass et al. (J Econ 190(2):289-300, 2016) that, in addition, allows us to identify the determinants of the spatial dependence among provinces. We contribute to the heterogeneous spatial models that have been introduced in recent years, such as Aquaro et al. (Working Paper No. 15-17. USC Dornsife Institute for New Economic Thinking, 2015) and Malikov and Sun (J Econ 199(1):13-34, 2017), allowing measures of spatial dependence specific to each observation. This feature of the model lets us rank all Spanish provinces in accordance with their degree of spatial dependence, information that will aid policymakers to better allocate public resources between provinces. The period examined is of special interest given that it coincides with a break in the economic growth tendency, which leads to a deterioration in Spain ' s economic situation.
机译:本文介绍了新的空间随机边界模型,以研究西班牙各省在2000年至2013年期间的效率及其演变。我们使用由Glass等人介绍的空间随机边界模型的异方差版本。 (J Econ 190(2):289-300,2016),这使我们能够确定各省之间空间依赖性的决定因素。我们为近年来引入的异构空间模型做出了贡献,例如Aquaro等。 (工作论文第15-17号。南加州大学多恩西费市新经济思维研究所,2015年)以及Malikov和Sun(J Econ 199(1):13-34,2017),允许对每个观测值进行特定的空间依赖性测量。该模型的这一特征使我们能够根据西班牙所有省份的空间依赖性程度对其进行排名,这些信息将有助于决策者更好地在各省之间分配公共资源。考虑到这段时期与经济增长趋势的爆发同时发生,这会引起西班牙经济状况的恶化,因此特别有意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号