PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Análise Econômica (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/86618 |
Resumo: | This paper proposes a model for the analysis of the impact of climatic variables on medicines sales in the southern region of Brazil. For this study, sales data of262 pharmacies were collected, representing more than 80 million commercial transactions, and meteorological data from 26 cities through the national institute of meteorology during the period of January 2012 and June 2016. Using the fixed-effectspanel data model, a methodology characterized by the combined use of time series andcross-sections, it is estimated that the variables with the greatest influence on sales aretemperature and precipitation. The main hypothesis tested in this study, that climaticvariables have a significant effect on sales, could be confirmed for some categories ofmedicines, with different influences between them. |
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PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZILPANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZILRetailClimateDrugstoreSalesEconometricsD220VarejoClimaFarmáciaVendasEconometriaD220This paper proposes a model for the analysis of the impact of climatic variables on medicines sales in the southern region of Brazil. For this study, sales data of262 pharmacies were collected, representing more than 80 million commercial transactions, and meteorological data from 26 cities through the national institute of meteorology during the period of January 2012 and June 2016. Using the fixed-effectspanel data model, a methodology characterized by the combined use of time series andcross-sections, it is estimated that the variables with the greatest influence on sales aretemperature and precipitation. The main hypothesis tested in this study, that climaticvariables have a significant effect on sales, could be confirmed for some categories ofmedicines, with different influences between them.Este artigo propõe a construção de um modelo econométrico para a análisedo impacto das variáveis climáticas sobre a venda de medicamentos. Para isso, foramcoletadas informações de venda de 262 farmácias da região Sul do Brasil, representando mais de 80 milhões de transações comerciais, durante o período de janeiro de 2012a junho de 2016. Os dados foram combinados com as informações meteorológicas de26 cidades, disponibilizadas pelo Instituto Nacional de Meteorologia. Utilizando ummodelo de dados em painel por efeitos fixos, que combina o uso de séries temporais ecortes transversais, é possível estimar que as variáveis climáticas com maior influêncianas vendas de medicamentos são temperatura e a precipitação . A principal hipótesetestada neste estudo, de que as variáveis climáticas têm um efeito significativo nas vendas, pôde ser confirmada para algumas categorias de medicamentos, com diferentesintensidades entre elas.UFRGS2021-06-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/8661810.22456/2176-5456.86618Análise Econômica; Vol. 39 No. 79 (2021): Junho/2021Análise Econômica; v. 39 n. 79 (2021): Junho/20212176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSenghttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/86618/63418Copyright (c) 2021 Análise Econômicainfo:eu-repo/semantics/openAccessDalla Valle, Pedro BrandãoFeijó, Flavio Tosi2021-06-27T21:53:15Zoai:seer.ufrgs.br:article/86618Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2021-06-27T21:53:15Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL |
title |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL |
spellingShingle |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL Dalla Valle, Pedro Brandão Retail Climate Drugstore Sales Econometrics D220 Varejo Clima Farmácia Vendas Econometria D220 |
title_short |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL |
title_full |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL |
title_fullStr |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL |
title_full_unstemmed |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL |
title_sort |
PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL |
author |
Dalla Valle, Pedro Brandão |
author_facet |
Dalla Valle, Pedro Brandão Feijó, Flavio Tosi |
author_role |
author |
author2 |
Feijó, Flavio Tosi |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Dalla Valle, Pedro Brandão Feijó, Flavio Tosi |
dc.subject.por.fl_str_mv |
Retail Climate Drugstore Sales Econometrics D220 Varejo Clima Farmácia Vendas Econometria D220 |
topic |
Retail Climate Drugstore Sales Econometrics D220 Varejo Clima Farmácia Vendas Econometria D220 |
description |
This paper proposes a model for the analysis of the impact of climatic variables on medicines sales in the southern region of Brazil. For this study, sales data of262 pharmacies were collected, representing more than 80 million commercial transactions, and meteorological data from 26 cities through the national institute of meteorology during the period of January 2012 and June 2016. Using the fixed-effectspanel data model, a methodology characterized by the combined use of time series andcross-sections, it is estimated that the variables with the greatest influence on sales aretemperature and precipitation. The main hypothesis tested in this study, that climaticvariables have a significant effect on sales, could be confirmed for some categories ofmedicines, with different influences between them. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/86618 10.22456/2176-5456.86618 |
url |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/86618 |
identifier_str_mv |
10.22456/2176-5456.86618 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/86618/63418 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Análise Econômica info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Análise Econômica |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFRGS |
publisher.none.fl_str_mv |
UFRGS |
dc.source.none.fl_str_mv |
Análise Econômica; Vol. 39 No. 79 (2021): Junho/2021 Análise Econômica; v. 39 n. 79 (2021): Junho/2021 2176-5456 0102-9924 reponame:Análise Econômica (Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Análise Econômica (Online) |
collection |
Análise Econômica (Online) |
repository.name.fl_str_mv |
Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
||rae@ufrgs.br |
_version_ |
1799766268415311872 |