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Spatial Autocorrelation Panel Regression: Agricultural Production and Transport Connectivity
Networks and Spatial Economics ( IF 2.4 ) Pub Date : 2020-01-17 , DOI: 10.1007/s11067-019-09489-y
Atsushi Iimi , Liangzhi You , Ulrike Wood-Sichra

Transport infrastructure is an important determinant of agricultural productivity. Using various new spatial data, the paper measures different types of transport accessibility and estimates their impacts in Ethiopia. The paper takes advantage of a historical event that Ethiopia, a landlocked country, ceased freight rail operations connecting its capital and the main seaport in the late 2000s. Using the substantial changes in transport accessibility, the spatial autocorrelation panel regression is applied to show that the proximity to close markets and the access to the port are of particular importance for agricultural production. The elasticity is estimated at about −0.05 to −0.13, depending on type of accessibility. It is also found that there are considerable spillover effects that come from the spatial autocorrelation errors, meaning that crop production at one place is affected by its neighborhood environment, possibly including land fertility and weather conditions.

中文翻译:

空间自相关面板回归:农业生产与运输的连通性

运输基础设施是农业生产力的重要决定因素。本文使用各种新的空间数据,测量了不同类型的交通可达性,并估计了它们对埃塞俄比亚的影响。本文利用了一个历史事件,即一个内陆国家埃塞俄比亚在2000年代末停止了连接首都和主要海港的货运铁路运营。利用交通可及性的重大变化,应用空间自相关面板回归分析表明,靠近封闭市场和进入港口对于农业生产特别重要。根据可访问性的类型,估计弹性约为-0.05至-0.13。还发现,空间自相关误差会产生相当大的溢出效应,
更新日期:2020-01-17
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