Impacto dos fatores climáticos nas vendas do varejo no Brasil. Uma abordagem com dados de painel com efeito fixo

• Ano de defesa: 2013
• Autor(a) principal: Dalmarco, Leandro Silva
• Orientador(a): Ponczek, Vladimir Pinheiro
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Palavras-chave em Português: Vendas; Variações climáticas; Varejo
• Link de acesso: http://hdl.handle.net/10438/10592

The impacts of climate variability is a widely researched topic in macroeconomics and also in sectors such as agriculture, energy and insurance. However for the retail sector were not disclosed studies developed in Brazil. In some developed countries, climate insurance are widely traded and through this work we aim also to boost developing climate insurance market in Brazil. Due to this, the purpose of this study was to evaluate the impacts of climate variations in retail sales during approximately 18 months (563 dias) in 253 cities. The information of climatic variations (rainfall, temperature, wind speed, relative humidity, solar radiation and atmospheric pressure) were obtained by INMET (Instituto Nacional de Meteorologia) and crossed with the transactional information of up to 206 thousand active clients. Both database (INMET and financial institution's business credit card) used the same sample of cities and were reported on daily basis. The methodology used for the econometric model were the panel data with fixed effects through the statistical / econometric software EViews (proprietary software of HIS Inc) and R (free software). The null hypothesis tested was that the weather influences the customers’ purchasing decisions in the short term. Analyzing the results, the conclusion is that the rainfall negatively impact retail reducing sales. It is explained by the reduction on the total amount of transactions and not the average ticket. If we exclude 2 cities (São Paulo and Rio de Janeiro) of the sample, brought no changes in significance and relevance of results. On the contrary, rainfall has substitution effect between online and offline sales. By including demographic variables, it is possible to say that women and elder people historically spend more money on the purchasing decision when comparing with men and younger. If we analise de impact of rain on a given day and their impact in the next 6 to 29 days is significant but the impact on retail sales wasn’t significant.