Spatial Autocorrelation Panel Regression: Agricultural Production and Transport Connectivity
Spatial Autocorrelation Panel Regression: Agricultural Production and Transport Connectivity
复制标题
空间自相关面板回归：农业生产和运输连通性
DOI：
10.1007/s11067-019-09489-y
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发表时间：
2017
影响因子：
2.4
通讯作者：
U. Wood
中科院分区：
文献类型：
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作者：
Atsushi Iimi;Liangzhi You;U. Wood
交通基础设施是农业生产力的重要决定因素。本文利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。该论文利用了一个历史事件：内陆国家埃塞俄比亚在 2000 年代末停止了连接其首都和主要海港的货运铁路运营。利用交通可达性的显着变化，应用空间自相关面板回归来表明靠近封闭市场和进入港口对于农业生产特别重要。弹性估计约为 -0.05 至 -0.13，具体取决于可访问性的类型。研究还发现，空间自相关误差存在相当大的溢出效应，这意味着一个地方的农作物生产受到其邻近环境的影响，可能包括土地肥力和天气条件。
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.