Tabel IO Provinsi Bengkulu Tahun 2024

The 2024 Bengkulu Province IO Table data is the result of adjustments and updates conducted using non-survey methods for research purposes. The limited availability of IO Tables makes national-level IO Tables more frequently used than regional IO Tables in both domestic and international research. Compiling IO Tables requires relatively large costs, time, and effort, so the available series of tables typically contain time reference conditions for observations that have long since elapsed since the research date.
The non-survey updating method used is the RAS method. Although widely associated with updating input-output tables, the RAS method has deep roots in work in statistics and mathematics, with the key concept being to find a matrix that deviates least from the initial matrix while satisfying marginal constraints. The RAS method is a special case of the matrix adjustment problem known as double proportional balancing. Richard Stone and J. A. C. Brown of the University of Cambridge were the first to formally adapt and apply the double proportional iterative technique to update input-output coefficient matrices in an economic context in 1962. The goal was to adjust the coefficients of the transaction matrix of the input-output table from a base year to a target year when only marginal data (total output and total inputs by sector) for the target year were available. The RAS method is used to update the 2016 Bengkulu Province IO Table with 2024 data.
The initial step of the RAS method in this study is to create a hypothetical 2024 IO Table based on the 2016 structure (baseline IO), projected 2024 sectoral output data, and the distribution of 2024 GRDP expenditure (final demand). These data are then balanced using the RAS method, as the initial results are unbalanced. After the 2024 final output and demand projections are distributed following the 2016 structure, an imbalance between total output and total input is likely to emerge, necessitating balancing.
The RAS balancing steps begin with the initial technology matrix (from the 2016 IO table) and determine the initial target output (2024 IO table). Then, final demand and primary input are distributed from the old structure. Initialization is carried out by creating a diagonal matrix R for row adjustments (sectoral output) and a diagonal matrix S for column adjustments (sectoral input). Corrections are performed alternately for row and column adjustments over several iterations. The iteration process continues to be repeated until each element in the R and S vectors approaches 1.0000 and the difference between the total sectoral input and output is < 0.0001.