Spatial CGE models rely on detailed multiregional input–output (MRIO) tables. This paper compares two different approaches to compiling MRIO tables for Austria – an algorithm-based approach that regionalizes national input–output tables (IOT) and generates trade estimates using a predefined set of regional variables (i.e. Horridge’s algorithm), and a hybrid approach that uses as much regional and interregional data as possible. We investigate whether we observe differences in CGE simulation results that use them. Results from an aggregate simulation are surprisingly similar. So the algorithmic approach is, in fact, effective in making an MRIO from a national IOT. But noticeable differences appear at the sectoral level. They seem mainly due to differences in calibration rather than in regionalization.

空间 CGE 模型依赖于详细的多区域输入输出 (MRIO) 表。本文比较了为奥地利编制 MRIO 表的两种不同方法——一种基于算法的方法，该方法将国家投入产出表 (IOT) 区域化并使用一组预定义的区域变量（即 Horridge 算法）生成贸易估计值，以及一种混合方法尽可能多地使用区域和区域间数据。我们调查是否观察到使用它们的 CGE 模拟结果的差异。综合模拟的结果惊人地相似。因此，算法方法实际上可以有效地从国家物联网制作 MRIO。但在部门层面上出现了明显的差异。它们似乎主要是由于校准而不是区域化的差异。