StatelO - Open Source Economic Input-Output Models for the 50 States of the United States of America.

IF 1.8 3区 经济学 Q3 ENVIRONMENTAL STUDIES International Regional Science Review Pub Date : 2022-12-23 DOI:10.1177/01600176221145874
Mo Li, João Pedro Ferreira, Christa D Court, David Meyer, Mengming Li, Wesley W Ingwersen
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Abstract

Subnational input-output (IO) tables capture industry- and region-specific production, consumption, and trade of commodities and serve as a common basis for regional and multi-regional economic impact analysis. However, subnational IO tables are not made available by national statistical offices, especially in the United States (US), nor have they been estimated with transparent methods for reproducibility or updated regularly for public availability. In this article, we describe a robust StateIO modeling framework to develop state and two-region IO models for all 50 states in the US using national IO tables and state industry and trade data from reliable public sources such as the US Bureau of Economic Analysis. We develop 2012-2017 state IO models and two-region IO models at the BEA summary level. The two regions are state of interest and rest of the US. All models are validated by a series of rigorous checks to ensure the results are balanced at state and national levels. We then use these models to calculate a 2012-2017 time series of macro economic indicators and highlight results for I I states that have distinct economies with respect to size, geography, and industry structure. We also compare selected indicators to state IO models created by popular licensed and open-source software. Our StateIO modeling framework is consolidated in an open-source R package, stateior, to ensure transparency and reproducibility. Our StateIO models are US-focused, which may not be transferrable to international accounts, and form the economic base of state versions of the US environmentally-extended IO models.

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美国50个州的开源经济投入产出模型。
次国家投入产出表反映了特定行业和区域的商品生产、消费和贸易情况,是区域和多区域经济影响分析的共同基础。但是,国家统计局没有提供国家以下一级的IO表,特别是在美国,也没有采用透明的可重复性方法进行估计,也没有定期更新以供公众查阅。在本文中,我们描述了一个健壮的StateIO建模框架,使用国家IO表和来自可靠公共来源(如美国经济分析局)的国家工业和贸易数据,为美国所有50个州开发州和两区IO模型。我们在BEA总结层面开发了2012-2017年状态IO模型和两区域IO模型。这两个地区是美国其他地区感兴趣的州。所有的模型都经过一系列严格的检查,以确保结果在州和国家层面上是平衡的。然后,我们使用这些模型来计算2012-2017年宏观经济指标的时间序列,并突出显示在规模、地理和产业结构方面具有不同经济的I - I州的结果。我们还将选定的指标与流行的许可和开源软件创建的状态IO模型进行了比较。我们的StateIO建模框架被整合到一个开源的R包stateior中,以确保透明性和可重复性。我们的StateIO模型以美国为中心,可能无法转移到国际账户,并形成了美国环境扩展IO模型的国家版本的经济基础。
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来源期刊
CiteScore
4.50
自引率
13.00%
发文量
26
期刊介绍: International Regional Science Review serves as an international forum for economists, geographers, planners, and other social scientists to share important research findings and methodological breakthroughs. The journal serves as a catalyst for improving spatial and regional analysis within the social sciences and stimulating communication among the disciplines. IRSR deliberately helps define regional science by publishing key interdisciplinary survey articles that summarize and evaluate previous research and identify fruitful research directions. Focusing on issues of theory, method, and public policy where the spatial or regional dimension is central, IRSR strives to promote useful scholarly research that is securely tied to the real world.
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