Regional Input-Output Models Adjusted by Import-Export Survey Data

Energy import resilience with input–output linear programming models

a r t i c l e i n f o In this work we develop a new approach to study the energy import resilience of an economy using linear programming and economic input–output analysis. In particular, we propose an energy import resilience index by examining the maximum level of energy import reduction that the economy can endure without sacrificing domestic demands. A mixed integer programming model is th...

Disaggregating Input - Output Models

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 rst part is to calculate the disaggregated input matrix DIM, which represents all the input from common sectors into the new sectors. The second part is to calculate the di...

Multiple Fuzzy Regression Model for Fuzzy Input-Output Data

A novel approach to the problem of regression modeling for fuzzy input-output data is introduced.In order to estimate the parameters of the model, a distance on the space of interval-valued quantities is employed.By minimizing the sum of squared errors, a class of regression models is derived based on the interval-valued data obtained from the $alpha$-level sets of fuzzy input-output data.Then,...

Data interfaces for input , output , and translation between models 1

centralized output production and centralized input allocation models in data envelopment analysis

while conventional data envelopment analysis models set targets separately for each decision making unit, centralized recourse allocation model is presented where there is a centralized decision maker that supervises all the operating units. optimizing of total input consumption and total output production is the main aim of this model. in this paper, firstly the centralized output production m...