Desenvolvimento de um framework em python para análise da economia de Minas Gerais através da aplicação do modelo de insumo-produto

Abstract

This work aims to develop a script in the Python language to optimize the process and calculation of the Input-Output Matrix (IOM) of Minas Gerais and the economic multipliers for the base year of 2016. The framework in Python seeks to calculate from the Table of Resources and Uses (TRU) made available by the João Pinheiro Foundation, the inverse matrix of Wassily Leontief, the multipliers of employment, income and production, in addition to identifying the key sectors of the economy of Minas Gerais through the Rasmussen-Hirschman index. An analysis of the Gross Domestic Product (GDP) of the regions of Minas Gerais was also carried out. After developing the script, it was possible to verify from the results obtained through the IOM the sectors capable of leveraging the state’s economic growth more quickly and the most relevant sectors in generating employment and income. The results showed that the service sector corresponds to the largest generator of employment and income, while the food sector stood out with the highest level of production in 2016, corresponding to the traditionally important industries for the economy of Minas Gerais.