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TRACKING TRANSPORTATION AND INDUSTRIAL PRODUCTION ACROSS A NATION: APPLICATION OF THE RUBMRIO MODEL FOR U.S. TRADE PATTERNS

机译:追踪全国的运输和工业生产:RUBMRIO模型在美国贸易模式中的应用

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This study describes and applies a random-utility-based multiregional input-output(RUBMRIO) model for U.S. transportation, production, and trade across over-3,000contiguous counties, using the Freight Analysis Framework as its primary data source. Drivenby foreign export demands, RUBMRIO simulates trade patterns of commodities amongcounties based on input-output expenditure shares and a nested-logit model for shipmentorigins and mode. A variety of network and export-demand scenarios are examined, for theireffects on the distributions of trade flows and production.Changes in export demands of different commodities highlight the importance of foodand petroleum manufacturing sectors, in terms of production and labor-expenditure shifts.Transport cost reductions result in greater effects on total production than similar cost increases,with the most impacted U.S. counties centrally located. Changes in travel times along theInterstate Highway 40 corridor have ripple effects, affecting trade patterns everywhere, withthe greatest changes observed around the corridor’s midpoint.
机译:这项研究描述并应用了基于随机效用的多区域输入输出 (RUBMRIO)模型用于3,000多个国家/地区的美国运输,生产和贸易 连续县,使用“货运分析框架”作为主要数据源。驱动的 根据国外出口需求,RUBMRIO模拟了不同国家之间的商品贸易模式 投入产出支出份额和装运的嵌套logit模型的县 起源和方式。研究了各种网络和出口需求方案, 对贸易流量和生产分布的影响。 不同商品出口需求的变化突出了粮食的重要性 和石油制造业,就生产和劳动力支出的变化而言。 降低运输成本对总生产的影响要大于类似的成本增长, 受灾最严重的美国县位于市中心。沿途旅行时间的变化 40号州际公路走廊产生连锁反应,影响世界各地的贸易格局, 在走廊中点周围观察到的最大变化。

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