O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica

Detalhes bibliográficos
Autor(a) principal: Pinto, André Luiz Mofato
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/11810
Resumo: This study aims to estimate an empirical model to relate spending on advertising revenues of firms, in order to serve as a tool for decision making, for it will study a case of telecommunications industry. The communication industry (advertising) in Brazil, according to IBGE 2008, is responsible for 4% of GDP, generating revenues of 57.5 billion dollars. With 113,000 businesses that generate 711,000 jobs, 866,000 people occupy and pay 5.9 billion in wages and taxes. However, most marketing managers say they do not have tools to measure the impact of their actions on the results of companies. The empirical model is estimated on the basis of monthly data for domestic long distance of Embratel for the period January 2009 to December 2011. The information often not available could only be used due to confidentiality undertaking. From cointegration techniques, we calculated the long-run elasticity of income over spending on advertising and price, so with their speed of adjustment to short-term deviations. The results suggest that revenue responds positively to changes in advertising spending, although the percentage is relatively low. Through the Dorfman-Steiner theorem we’re able to indicate that the optimum relationship between advertising spending and revenue would be approximately 20%, subjected to limitations of the model.
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spelling Pinto, André Luiz MofatoEscolas::EPGEFGVCavalcanti, Ricardo de OliveiraPinheiro, Maurício CanêdoMoura, Rodrigo Leandro deFéres, José Gustavo2014-06-02T13:50:44Z2014-06-02T13:50:44Z2013https://hdl.handle.net/10438/11810This study aims to estimate an empirical model to relate spending on advertising revenues of firms, in order to serve as a tool for decision making, for it will study a case of telecommunications industry. The communication industry (advertising) in Brazil, according to IBGE 2008, is responsible for 4% of GDP, generating revenues of 57.5 billion dollars. With 113,000 businesses that generate 711,000 jobs, 866,000 people occupy and pay 5.9 billion in wages and taxes. However, most marketing managers say they do not have tools to measure the impact of their actions on the results of companies. The empirical model is estimated on the basis of monthly data for domestic long distance of Embratel for the period January 2009 to December 2011. The information often not available could only be used due to confidentiality undertaking. From cointegration techniques, we calculated the long-run elasticity of income over spending on advertising and price, so with their speed of adjustment to short-term deviations. The results suggest that revenue responds positively to changes in advertising spending, although the percentage is relatively low. Through the Dorfman-Steiner theorem we’re able to indicate that the optimum relationship between advertising spending and revenue would be approximately 20%, subjected to limitations of the model.Este trabalho tem por objetivo estimar um modelo empírico para relacionar os gastos em publicidade com a receita das firmas, de forma a servir como ferramenta de tomada de decisão, para isso vamos fazer um estudo de caso da indústria de telecomunicações. A Indústria de comunicação (publicidade) no Brasil, segundo dados do IBGE de 2008, é responsável por 4% do PIB, gerando receitas da ordem 115 bilhões de reais. Com 113 mil empresas que geram 711 mil empregos, ocupam 866 mil pessoas e pagam 11,8 bilhões em salários e encargos. No entanto, a maioria dos gestores de marketing declara não ter instrumentos para medir o impacto de suas ações no resultado das empresas. O modelo empírico será estimado tendo como base dados mensais dos serviços de ligações de longa distância nacional da Embratel para o período de janeiro de 2009 até dezembro de 2011. As informações quase sempre não disponíveis, só puderam ser usadas devido ao compromisso de confidencialidade. A partir de técnicas de cointegração, foi calculada a elasticidade de longo prazo da receita em relação aos gastos com publicidade e ao preço, assim com as respectivas velocidades de ajustamento aos desvios de curto prazo. Os resultados sugerem que a receita responde positivamente às variações dos gastos em publicidade, embora o percentual seja relativamente baixo, através do teorema de Dorfman-Steiner conseguimos indicar que o ponto ótimo da relação entre gastos com publicidade e a receita seria de aproximadamente 20%, respeitadas as limitações do modelo.porAdvertisingVECMCointegrationJohansen testPublicidadeCointegraçãoTeste de JohansenEconomiaPublicidadeCointegraçãoModelos econométricosO impacto dos gastos com publicidade nas vendas das firmas: avaliação empíricainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALAndréMofato.pdfAndréMofato.pdfPDFapplication/pdf2996119https://repositorio.fgv.br/bitstreams/7978ee5d-18e8-4044-bb4f-6f4d904080a3/download0a583d2e85f3b3f2a3da2b882359e0edMD55LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
title O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
spellingShingle O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
Pinto, André Luiz Mofato
Advertising
VECM
Cointegration
Johansen test
Publicidade
Cointegração
Teste de Johansen
Economia
Publicidade
Cointegração
Modelos econométricos
title_short O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
title_full O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
title_fullStr O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
title_full_unstemmed O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
title_sort O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica
author Pinto, André Luiz Mofato
author_facet Pinto, André Luiz Mofato
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EPGE
dc.contributor.affiliation.none.fl_str_mv FGV
dc.contributor.member.none.fl_str_mv Cavalcanti, Ricardo de Oliveira
Pinheiro, Maurício Canêdo
Moura, Rodrigo Leandro de
dc.contributor.author.fl_str_mv Pinto, André Luiz Mofato
dc.contributor.advisor1.fl_str_mv Féres, José Gustavo
contributor_str_mv Féres, José Gustavo
dc.subject.eng.fl_str_mv Advertising
VECM
Cointegration
Johansen test
topic Advertising
VECM
Cointegration
Johansen test
Publicidade
Cointegração
Teste de Johansen
Economia
Publicidade
Cointegração
Modelos econométricos
dc.subject.por.fl_str_mv Publicidade
Cointegração
Teste de Johansen
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Publicidade
Cointegração
Modelos econométricos
description This study aims to estimate an empirical model to relate spending on advertising revenues of firms, in order to serve as a tool for decision making, for it will study a case of telecommunications industry. The communication industry (advertising) in Brazil, according to IBGE 2008, is responsible for 4% of GDP, generating revenues of 57.5 billion dollars. With 113,000 businesses that generate 711,000 jobs, 866,000 people occupy and pay 5.9 billion in wages and taxes. However, most marketing managers say they do not have tools to measure the impact of their actions on the results of companies. The empirical model is estimated on the basis of monthly data for domestic long distance of Embratel for the period January 2009 to December 2011. The information often not available could only be used due to confidentiality undertaking. From cointegration techniques, we calculated the long-run elasticity of income over spending on advertising and price, so with their speed of adjustment to short-term deviations. The results suggest that revenue responds positively to changes in advertising spending, although the percentage is relatively low. Through the Dorfman-Steiner theorem we’re able to indicate that the optimum relationship between advertising spending and revenue would be approximately 20%, subjected to limitations of the model.
publishDate 2013
dc.date.issued.fl_str_mv 2013
dc.date.accessioned.fl_str_mv 2014-06-02T13:50:44Z
dc.date.available.fl_str_mv 2014-06-02T13:50:44Z
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