区域农业铁路需求模型的确定与估算

M. Babcock, Philip G. Gayle
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引用次数: 3

摘要

近年来,很少有铁路需求研究。此外,也没有研究调查铁路需求地区差异的可能性。本文的目的是估计美国以及东部和西部地区小麦、玉米、高粱和大豆的铁路需求函数。本文采用两区域空间均衡模型来确定以铁路吨数起源为因变量的经验模型。解释变量包括每吨铁路价格、农作物产量、每吨驳船价格。铁路价格的理论预期信号为负。另一方面,作物产量和驳船运价的预期信号是积极的。结果包括铁路自身价格弹性和相对于驳船运输的交叉价格弹性的估计。这些估计还揭示了铁路粮食需求的地区差异。
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Specifying and Estimating a Regional Agricultural Railroad Demand Model
In recent years there have been few railroad demand studies. Also, no study has investigated the possibility of regional differences in railroad demand. The objective of the paper is to estimate railroad demand functions for wheat, corn, sorghum, and soybeans for the United States as well as the east and west regions. A two-region spatial equilibrium model is employed to specify the empirical model in which railroad tons originated is the dependent variable. The explanatory variables include railroad price per ton, crop production, and barge price per ton. The theoretically expected sign is negative for rail price. Alternatively, the expected sign is positive for crop production and barge rate. Results include estimates of railroad own-price elasticities and cross price elasticities relative to barge transport. The estimates also reveal regional differences in railroad grain demand.
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