This Technical Document describes the steps to disaggregate an industry sector in an I-O table using Python. A disaggregation method that based on weight factors is used in this document. The calculation has three parts. The first part is to calculate the disaggregated input matrix DIM, which...

The conventional input-output model has been widely criticized, both justly and unjustly, for its limiting assumptions. One of these assumptions is homogeneity of degree one. This paper explores some approaches to minimize this limitation of traditional input-output analysis by removing the...

This brief note draws further attention to cross-hauling in regional input-output table estimation, and specifically identifies conceptual issues associated with Kronenberg?s CHARM method for adjusting input-output regionalization methods. Despite the shortcomings of the CHARM approach as it now...

This study focuses on the measure of inter-regional trade of virtual water, defined as the freshwater consumed for producing traded goods and services, to explain the relationship between China’s regional virtual water and the increasing water demand. By using the multi-regional input-output...

Although the literature has provided steps in the right direction, conceptual shortcomings still exist in the cross-hauling adjustment methods that are currently being applied in the literature. This paper represents an attempt to 1) characterize the cross-hauling adjustment methods that exist...

Input-output (IO) and Life Cycle Assessment (LCA) modeling share a strikingly similar mathematical foundation and formulation, yet melding the two frameworks is not completely straightforward. In particular, the boundaries of the two systems must be brought into alignment carefully, so as to...

This document describes the algorithm used for creating an aggregated linear production function for an industry by weighting subsector production functions. The result can be used as a column in an interindustry (IxI) coefficients table or in a standard Use table (CxI) depending on the units (C...

This document is intended to clarify the foundations of the IO and CGE analytical frameworks and procedures that underlie the NSF and USDA/NIFA funded research projects. It covers environmental data, life cycle assessment (LCA), input-output models (IO), structural decomposition analysis (SDA),...

Data for the Chinese province of Hubei are used to assess the performance of Kronenberg’s CHARM, a method that takes explicit account of cross-hauling when constructing regional input-output tables. A key determinant of cross-hauling is held to be the heterogeneity of the products of...

Although Input-Output (IO) models are widely accepted tools for regional scientists and economists alike, there are still many issues to confront during their application, including estimating impacts relative to future years, dynamic impacts, and the introduction of new technologies within...