dc.contributor | Souza, Adriano Mendonça | |
dc.contributor | http://lattes.cnpq.br/5271075797851198 | |
dc.contributor | Maehler, Alisson Eduardo | |
dc.contributor | http://lattes.cnpq.br/6602132557607860 | |
dc.contributor | Zanini, Roselaine Ruviaro | |
dc.contributor | http://lattes.cnpq.br/4332331006565656 | |
dc.creator | Scheffer, Deise | |
dc.date.accessioned | 2017-01-19 | |
dc.date.available | 2017-01-19 | |
dc.date.created | 2017-01-19 | |
dc.date.issued | 2016-11-30 | |
dc.identifier | SCHEFFER, Deise. Energy use electric trailer socioeconomic development in Brazil and environmental impacts generated by the CO2 emission. 2016. 75 f. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal de Santa Maria, Santa Maria, 2016. | |
dc.identifier | http://repositorio.ufsm.br/handle/1/8411 | |
dc.description.abstract | This research studies the relationships in Electric Energy Consumption, Carbon Dioxide Emission and Theil Index in Brazil. The period of analysis includes annual data from 1980 to 2011 in a total of 31 observations. The series presented order of integration equal one with the presence of cointegration thus to measure these influences we used a vector error correction model (VEC). By Function Impulse Response (FIR) and Variance Decomposition Analysis (ADV) we observed how each variable behaves to an abrupt change. To analyze the behavior of variables, methods of vector autoregressive (VAR) and residues control charts were used. The VAR modeling revealed that there is a significant interrelationship among the variables under study, thus showing that there is a short-term relationship between these variables. As for the residues control chart to individual measures, a problem in the original variables was avoided tha were the the autocorrelation, and showed that all variables had a period of instability and also enabled the identification of this period. The emission of carbon dioxide and Theil Index are determining factors in the explanation of environmental impacts as well as the development of the country. The variance decomposition indicates that the carbon dioxide emission is primarily responsible for mainly caused damage to the environment. | |
dc.publisher | Universidade Federal de Santa Maria | |
dc.publisher | BR | |
dc.publisher | Engenharia de Produção | |
dc.publisher | UFSM | |
dc.publisher | Programa de Pós-Graduação em Engenharia de Produção | |
dc.rights | Acesso Aberto | |
dc.subject | Consumo de energia elétrica | |
dc.subject | Índice de theil | |
dc.subject | Emissão de CO2 | |
dc.subject | Vetores autoregressivos (VAR) / vetor de correção de erro(VEC) | |
dc.subject | Gráficos de controle | |
dc.subject | Electricity consumption | |
dc.subject | Theil index | |
dc.subject | CO2 emission | |
dc.subject | Vector autoregressive (VAR) / error correction vector (VEC) | |
dc.subject | Control charts | |
dc.title | O consumo de energia elétrica atrelado ao desenvolvimento socioeconômico no Brasil e os impactos ambientais gerados pela emissão de CO2 | |
dc.type | Dissertação | |