Comparison of non-survey techniques for constructing regional input-output tables
Comparison of non-survey techniques for constructing regional input-output tables
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DOI：
10.1007/s10479-019-03337-5
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发表时间：
2020-11-01
影响因子：
4.8
通讯作者：
Loizou, Efstratios
中科院分区：
文献类型：
--
作者：
Lampiris, Georgios;Karelakis, Christos;Loizou, Efstratios
基于文献中对区域投入产出(I/O)表构建的长期讨论，本研究试图在最常用的基于区位商的非调查方法中找出执行最好的方法。该分析使用了实际数据--特别是欧盟2010年和2014年的投入产出表--并通过使用三种不同的统计数据，比较了由商数FLQ、AFLQ、SLQ、CILQ和RLQ创建的表。在技术系数表和Leontief表中进行了比较。结果表明，当delta值在0.1~0.3之间时，AFLQ和FLQ得到的结果较好，而当delta值在0.4~0.9之间时，这两种商数的结果并不理想。与此同时，使用另一种统计方法，SLQ-CILQ技术似乎产生了令人满意的结果。Leontief表也给出了类似的结果。最后，使用线性回归模型，进口量似乎与FLQ中的Delta值无关。
On the grounds of the long discussion in the literature for the construction of regional input-output (I/O) tables, the present study endeavors to identify the best performing method among the most applied location quotient based non-survey techniques. The analysis uses actual data-in particular, the EU input-output tables for the years 2010 and 2014-and by employing three different statistics, it compares the tables created by the quotients FLQ, AFLQ, SLQ, CILQ and RLQ. Comparison is made in both the technical coefficient tables and the Leontief ones. The results indicate that the AFLQ and FLQ provide better results for values of delta from 0.1 to 0.3, whereas for values of delta from 0.4 to 0.9, the results of the two quotients are not satisfactory. At the same time, using another statistic, the SLQ-CILQ technique seemed to yield satisfactory results. Similar results are also presented for the Leontief tables. Finally, using a linear regression model, the imports do not appear to be related to the value of delta in the FLQ.