The construction of regional input-output tables for Selangor using three non-survey methods

Regional input-output table (RIOT) has been widely used to analyze impacts at the subnational level. Although RIOT plays an extensive role in providing insights into regional development policies, it is rarely available for public use, particularly in developing countries. In Malaysia, Selangor is the most developed state and contributes nearly one-third to the national GDP. Although understanding inter-industry linkages is crucial for optimizing regional development, the absence of an input-output table for Selangor has limited the ability to identify key and high-value sectors. This study aims to estimate a Selangor RIOT using three methods, namely, the Simple Location Quotient (SLQ), the RAS technique, and the Cross Entropy (CE) method, and to assess the extent to which the estimated tables align with their analytical outcomes. The findings indicated that although the RAS and CE methods perform better than the SLQ method across all distance measures. All three estimates are relatively close. Furthermore, the statistical analysis demonstrated that the estimated Selangor RIOT from these methods produced smaller differences and high correlations, implying statistical accuracy and consistency.

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