{"id":2270,"date":"2022-09-14T21:13:00","date_gmt":"2022-09-15T00:13:00","guid":{"rendered":"http:\/\/abracicon.org\/abracicon_saber\/?p=2270"},"modified":"2023-06-01T11:27:20","modified_gmt":"2023-06-01T14:27:20","slug":"analise-do-conteudo-informacional-do-valor-agregado-divulgado-na-dva","status":"publish","type":"post","link":"https:\/\/abracicon.org\/abracicon_saber\/analise-do-conteudo-informacional-do-valor-agregado-divulgado-na-dva\/","title":{"rendered":"An\u00e1lise do conte\u00fado informacional do valor agregado divulgado na DVA"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2270\" class=\"elementor elementor-2270\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-808cec5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"808cec5\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9fd373c\" data-id=\"9fd373c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-44abfe9 elementor-widget elementor-widget-text-editor\" data-id=\"44abfe9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/abracicon.org\/abracicon_saber\/analise-do-conteudo-informacional-do-valor-agregado-divulgado-na-dva\/#pt\"><img decoding=\"async\" class=\"alignnone wp-image-911\" src=\"https:\/\/abracicon.org\/abracicon_saber\/wp-content\/uploads\/2022\/03\/brazil_2.jpg\" alt=\"\" width=\"50\" height=\"28\" \/><\/a><span style=\"font-size: 14px;\">\u00a0vers\u00e3o em portugu\u00eas<\/span><\/p><p><a href=\"https:\/\/abracicon.org\/abracicon_saber\/analise-do-conteudo-informacional-do-valor-agregado-divulgado-na-dva\/#en\"><img decoding=\"async\" class=\"alignnone wp-image-912\" src=\"https:\/\/abracicon.org\/abracicon_saber\/wp-content\/uploads\/2022\/03\/england.png\" alt=\"\" width=\"47\" height=\"28\" \/><\/a>\u00a0<span style=\"font-size: 14px;\">vers\u00e3o em ingl\u00eas<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d92958a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d92958a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1a06ab4\" data-id=\"1a06ab4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-72ebd5d elementor-widget elementor-widget-menu-anchor\" data-id=\"72ebd5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"pt\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f06248e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f06248e\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f6a2125\" data-id=\"f6a2125\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2ec2425 elementor-widget elementor-widget-text-editor\" data-id=\"2ec2425\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Este estudo, de forma resumida, conduz uma an\u00e1lise do conte\u00fado informacional da identidade cont\u00e1bil valor agregado (VA), divulgado na demonstra\u00e7\u00e3o do valor adicionado (DVA), como uma proxy da identidade cont\u00e1bil Produto Interno Bruto (PIB). Os achados relevantes do estudo sinalizam que parte da assimetria entre as identidades cont\u00e1beis, VA e PIB, pode ser mitigada com um rearranjo dos agregados econ\u00f4micos da riqueza produzida e distribu\u00edda, e a outra parte pode requerer estudo mais aprofundado, inclusive de natureza conceitual. Para mitigar os efeitos da assimetria existente entre os dois agregados, VA e PIB, o estudo sugere a utiliza\u00e7\u00e3o da identidade cont\u00e1bil valor agregado total (VAT) que produz os erros de estima\u00e7\u00e3o que explicam a diferen\u00e7a de orienta\u00e7\u00f5es entre a estrutura da contabilidade e o Sistema de Contas Nacionais (SCN).<\/p><p>Palavras-chave: Valor agregado. Conte\u00fado informacional do VA. Assimetria entre o VA e o PIB. Valor agregado total.<\/p><p>\u00a0 <\/p><h2>1. Introdu\u00e7\u00e3o<\/h2><p>O conte\u00fado informacional das demonstra\u00e7\u00f5es financeiras orientadas pelas normas de contabilidade \u00e9 um dos instrumentos de monitoramento de gest\u00e3o micro e macroecon\u00f4mica, a considerar o ordenamento contabil\u00edstico como norteador de procedimentos de mensura\u00e7\u00e3o de grandezas econ\u00f4micas no \u00e2mbito das organiza\u00e7\u00f5es e das pol\u00edticas p\u00fablicas.<\/p><p>Esse ordenamento direciona o conte\u00fado informacional de cada demonstra\u00e7\u00e3o, seja ela demonstra\u00e7\u00e3o de conte\u00fado est\u00e1tico ou din\u00e2mico, ou ainda como demonstra\u00e7\u00e3o de estoques, demonstra\u00e7\u00e3o de desempenho econ\u00f4mico-financeiro ou de contexto social.<\/p><p>A discuss\u00e3o deste resumido estudo orbita em torno da demonstra\u00e7\u00e3o de contexto social denominada Demonstra\u00e7\u00e3o do Valor Adicionado (DVA), cujo conte\u00fado informacional revela a riqueza gerada e distribu\u00edda por uma organiza\u00e7\u00e3o econ\u00f4mica, no horizonte de um per\u00edodo de tempo denominado exerc\u00edcio social ou ano fiscal. A riqueza produzida por todas as organiza\u00e7\u00f5es econ\u00f4micas, evidenciada na DVA, representa uma proxy do produto interno bruto (PIB) gerado pelas c\u00e9lulas microecon\u00f4micas produtivas, formalmente constitu\u00eddas, em atividade em cada setor da economia.<\/p><p>Essa riqueza sinalizada pelo PIB \u00e9 composta pela soma de todos os bens e servi\u00e7os finais produzidos no territ\u00f3rio do pa\u00eds, cujos agregados econ\u00f4micos s\u00e3o representados pela renda das fam\u00edlias, renda do capital, compras do Governo, saldo da balan\u00e7a de pagamentos e carga tribut\u00e1ria que onera todos os consumidores, diretamente e\/ou indiretamente, mas que \u00e9 necess\u00e1ria para custear a manuten\u00e7\u00e3o do Estado e financiar as pol\u00edticas p\u00fablicas. Essa defini\u00e7\u00e3o qualifica o PIB, no crit\u00e9rio de avalia\u00e7\u00e3o nominal, como argumenta Froyen (2002, p. 19).<\/p><p>O PIB, por qualquer que seja o crit\u00e9rio de avalia\u00e7\u00e3o, \u00e9 uma identidade cont\u00e1bil como argumenta Froyen (2002, p. 30), modelado pelo sistema de contas nacionais (SCN), orientado pela ONU e gerenciado pelo Instituto Brasileiro de Geografia e Estat\u00edstica (IBGE) na mensura\u00e7\u00e3o da atividade econ\u00f4mica do pa\u00eds, em n\u00edvel macroecon\u00f4mico. O VA tamb\u00e9m \u00e9 uma identidade cont\u00e1bil, orientada pelo arcabou\u00e7o da contabilidade e n\u00e3o pelo SCN, cujo conte\u00fado informacional sinaliza a riqueza produzida e distribu\u00edda por uma organiza\u00e7\u00e3o econ\u00f4mica, em um determinado per\u00edodo de tempo, em n\u00edvel microecon\u00f4mico.<\/p><p>\u00c0 semelhan\u00e7a da especifica\u00e7\u00e3o do modelo que define a identidade cont\u00e1bil PIB, a identidade cont\u00e1bil DVA \u00e9 especificada com as vari\u00e1veis econ\u00f4micas (a) renda das fam\u00edlias, (b) renda do capital de terceiros, (c) renda do capital pr\u00f3prio e (d) carga tribut\u00e1ria. Ainda que haja semelhan\u00e7a entre as duas identidades cont\u00e1beis, h\u00e1 tamb\u00e9m diferen\u00e7as porque o crit\u00e9rio de mensura\u00e7\u00e3o da identidade cont\u00e1bil PIB \u00e9 pre\u00e7o de mercado, enquanto que o crit\u00e9rio de mensura\u00e7\u00e3o da identidade cont\u00e1bil DVA \u00e9 pre\u00e7o de custo.<\/p><p>\u00c9 relevante observar que a DVA n\u00e3o \u00e9 formalmente contemplada pelo padr\u00e3o IFRS que regula a contabilidade a n\u00edvel global no planeta. Ela, a DVA, \u00e9 um conte\u00fado informacional institu\u00eddo no Brasil, de divulga\u00e7\u00e3o obrigat\u00f3ria para empresas abertas com t\u00edtulos negociados no mercado de capitais e, opcional, para as demais entidades econ\u00f4micas.<\/p><p>Mas em que pese o relevante conte\u00fado informacional da DVA, na gera\u00e7\u00e3o e na distribui\u00e7\u00e3o da riqueza, em n\u00edvel microecon\u00f4mico, h\u00e1 de se observar as diferen\u00e7as entre conceitos cont\u00e1beis e conceitos econ\u00f4micos para mitigar assimetrias existentes como, por exemplo, no conceito de lucro. Na contabilidade lucro \u00e9 uma vari\u00e1vel residual, enquanto que na economia lucro \u00e9 insumo da produ\u00e7\u00e3o. Outra diferen\u00e7a relevante a ser mitigada, j\u00e1 mencionada em par\u00e1grafo precedente, s\u00e3o os efeitos do crit\u00e9rio de avalia\u00e7\u00e3o das identidades cont\u00e1beis que na economia \u00e9 pre\u00e7o de mercado e na contabilidade \u00e9 custo.<\/p><p>\u00a0<\/p><p>\u00a0<\/p><h2>2. Conte\u00fado informacional da DVA<\/h2><p>A DVA revela o valor da riqueza produzida e distribu\u00edda pelas organiza\u00e7\u00f5es econ\u00f4micas, em um per\u00edodo de tempo denominado exerc\u00edcio social ou ano fiscal, em contexto microecon\u00f4mico. A forma\u00e7\u00e3o da riqueza parte da diferen\u00e7a entre o valor da produ\u00e7\u00e3o, representada pela receita, e os custos transferidos de outras entidades econ\u00f4micas que \u00e9 suficiente, sen\u00e3o para eliminar, para mitigar os efeitos da dupla contagem na mensura\u00e7\u00e3o dos agregados econ\u00f4micos. Da\u00ed a considera\u00e7\u00e3o de que esse conte\u00fado informacional da DVA \u00e9 uma boa proxy para revelar a riqueza produzida e distribu\u00edda em n\u00edvel agregado, se tomadas em conjunto a riqueza de todas as organiza\u00e7\u00f5es econ\u00f4mica.<\/p><p>Pelo lado conceitual do lucro (positivo ou negativo), orientado pelo arcabou\u00e7o da contabilidade, \u00e9 interessante observar que pode haver gera\u00e7\u00e3o negativa de riqueza e, neste caso, parte dos agregados da distribui\u00e7\u00e3o da riqueza, como renda das fam\u00edlias e remunera\u00e7\u00e3o do capital de terceiros, \u00e9 financiada por aporte de capital e\/ou pela entropia dos ativos ou consumo do capital. Ent\u00e3o, neste cen\u00e1rio, h\u00e1 uma revela\u00e7\u00e3o de que a riqueza distribu\u00edda a t\u00edtulo de renda das fam\u00edlias e remunera\u00e7\u00e3o do capital de terceiros \u00e9 financiada pelo consumo de ativos que reduz o estoque de capital, afastando-o do estado estacion\u00e1rio ou \u201csteady state\u201d que sugere equil\u00edbrio, como abordado por Mankiw (2008 \u2013 p.142).<br \/>Neste contexto, o conte\u00fado informacional da DVA permite observar, de forma objetiva, o movimento de sinergia ou de entropia de ativos (estoque de capital) sinalizando crescimento ou redu\u00e7\u00e3o da organiza\u00e7\u00e3o econ\u00f4mica.<\/p><p>\u00a0 <\/p><h2>3. Modelos das identidades cont\u00e1beis<\/h2><p>Partindo da demonstra\u00e7\u00e3o vertical da DVA, s\u00e3o observados dois grandes blocos de agregados econ\u00f4micos: o primeiro bloco se refere \u00e0 riqueza produzida, e o segundo bloco se refere \u00e0 riqueza distribu\u00edda. No primeiro bloco, em termos econ\u00f4micos, a riqueza produzida \u00e9 a diferen\u00e7a entre a produ\u00e7\u00e3o (receita bruta) e os insumos consumidos na produ\u00e7\u00e3o. No segundo bloco a riqueza distribu\u00edda \u00e9 a soma alg\u00e9brica da renda das fam\u00edlias, da carga tribut\u00e1ria e da remunera\u00e7\u00e3o do capital. Todos esses agregados s\u00e3o demonstrados como resultado de um exerc\u00edcio social ou ano fiscal. \u00c9 nessa temporalidade que reside uma das assimetrias entre as duas identidades cont\u00e1beis, PIB e DVA, que \u00e9 o saldo residual da produ\u00e7\u00e3o ainda n\u00e3o vendida, que a identidade cont\u00e1bil PIB avalia a pre\u00e7o de mercado e a entidade cont\u00e1bil VA avalia ao custo. A partir desse contexto, o modelo alg\u00e9brico que define o valor agregado (VA) demonstrado pela DVA pode ser assim especificado.<\/p><p>\u00a0<\/p><h3>3.1 Modelo de avalia\u00e7\u00e3o do VA pela organiza\u00e7\u00e3o econ\u00f4mica<\/h3><p>VA=RF+RC+T (1)<br \/><span style=\"background-color: transparent;\">Em que RF \u00e9 a renda das fam\u00edlias; RC \u00e9 a renda do capital (pr\u00f3prio e de terceiros); e T \u00e9 a carga tribut\u00e1ria.<\/span><\/p><p>O modelo especificado \u00e9 para o VA de uma entidade econ\u00f4mica. O modelo \u00e9 determin\u00edstico porque tem \u00fanicas entradas e produz um \u00fanico conjunto de sa\u00eddas e, por isso, n\u00e3o admite termo de erro.<\/p><p>Agora observe-se como \u00e9 constru\u00eddo o modelo da identidade cont\u00e1bil PIB, especificado na Equa\u00e7\u00e3o (2), que tamb\u00e9m se apresenta como modelo determin\u00edstico porque tem entradas definidas e admite um \u00fanico conjunto de sa\u00edda, por\u00e9m mais amplo do que o modelo da identidade cont\u00e1bil VA.<\/p><p>PIB=C+I+G+(X-M) (2)<\/p><p>Em que C \u00e9 o consumo das fam\u00edlias; I \u00e9 o investimento das organiza\u00e7\u00f5es econ\u00f4micas; G \u00e9 o gasto do Governo e (X-M) \u00e9 o saldo da balan\u00e7a comercial.<\/p><p>Ent\u00e3o, como pode ser observado, h\u00e1 diferen\u00e7a relevante entre os modelos de c\u00e1lculo das identidades cont\u00e1beis VA e PIB exibidos nas Eq. (1) e Eq. (2). Esta diferen\u00e7a sinaliza que a riqueza produzida e distribu\u00edda pelos dois modelos n\u00e3o \u00e9 equivalente.<\/p><p>Na busca de uma converg\u00eancia entre os dois modelos prop\u00f5e-se um modelo VA total (VAT), com introdu\u00e7\u00e3o de um termo de erro, como especificado na Eq. (3), para mitigar a assimetria, fluir a comunica\u00e7\u00e3o e permitir melhor interpreta\u00e7\u00e3o do conte\u00fado informacional. O modelo da identidade cont\u00e1bil VAT \u00e9 econom\u00e9trico e produzir\u00e1 valores de erros estimados na aproxima\u00e7\u00e3o das identidades cont\u00e1beis VA e PIB, variando no tempo (t=1,2,&#8230;,n).<\/p><p><img decoding=\"async\" src=\"data:image\/png;base64,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\" alt=\"\" \/><\/p><p>Assim, a especifica\u00e7\u00e3o da identidade cont\u00e1bil VAT, com o termo de erro \uf06d, captura as diferen\u00e7as do saldo residual do estoque, do saldo da balan\u00e7a comercial e do crit\u00e9rio de avalia\u00e7\u00e3o, por se tratar de um modelo de valor agregado. Para a estima\u00e7\u00e3o do quantum da identidade cont\u00e1bil VAT, utiliza-se o quantum da identidade cont\u00e1bil PIB como vari\u00e1vel dependente.<\/p><p>\u00a0<\/p><p>\u00a0<\/p><h2>4. Testando o modelo VAT<\/h2><p>Nesta se\u00e7\u00e3o est\u00e3o reproduzidos os resultados obtidos com a aplica\u00e7\u00e3o do modelo das Equa\u00e7\u00f5es (1); (2) e (3). Na coluna \u201cVA\u201d est\u00e3o os resultados obtidos com a Equa\u00e7\u00e3o (1). Na coluna \u201cPIB\u201d est\u00e3o os resultados obtidos com a Equa\u00e7\u00e3o (2). Na coluna \u201cErros\u201d est\u00e3o os resultados obtidos com a Equa\u00e7\u00e3o (3). Os erros s\u00e3o as proxies que explicam as diferen\u00e7as entre os quanta das identidades cont\u00e1beis VA e PIB produzidas pelo crit\u00e9rio de mensura\u00e7\u00e3o, pelo valor residual dos estoques n\u00e3o vendidos e pelo saldo da balan\u00e7a comercial.<span style=\"background-color: transparent;\">\u00a0<\/span><img decoding=\"async\" style=\"background-color: transparent;\" 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\" alt=\"\" \/><\/p><h2>\u00a0<\/h2><h2>5. Considera\u00e7\u00f5es gerais<\/h2><p>Este estudo reduzido sinalizou que \u00e9 poss\u00edvel melhorar o conte\u00fado informacional da DVA promovendo um rearranjo dos agregados econ\u00f4micos, produ\u00e7\u00e3o e distribui\u00e7\u00e3o da riqueza, para reduzir assimetrias entre as identidades cont\u00e1beis VA e PIB, por meio da divulga\u00e7\u00e3o do valor dos estoques residuais que comp\u00f5em a produ\u00e7\u00e3o do per\u00edodo. As outras diferen\u00e7as podem requerer estudos mais aprofundados, inclusive de natureza conceitual.<\/p><p>O VA \u00e9 um conte\u00fado informacional valioso que, independentemente do porte da organiza\u00e7\u00e3o econ\u00f4mica, deveria compor o rol das informa\u00e7\u00f5es b\u00e1sicas a serem divulgadas.<\/p><p>Ainda que o estudo seja resumido, espera-se que ele possa contribuir com acad\u00eamicos, estudantes e profissionais de mercado no uso do conte\u00fado da informa\u00e7\u00e3o econ\u00f4mica produzida pela DVA.<\/p><p>\u00a0<\/p><h2>Refer\u00eancias<\/h2><p>Froyen, Richard T. (2002). Macroeonomia. 5\u00aa. ed. S\u00e3o Paulo, Saraiva.<br \/>Mankiw, N. Gregory. (2008). Macroeconomia. 6\u00aa. ed. Rio de Janeiro, LTC.<br \/>SNC &#8211; System of Nacional Accounts. (2008). United Nations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e33b8d1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e33b8d1\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-91d1de2\" data-id=\"91d1de2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dc594f3 elementor-widget elementor-widget-menu-anchor\" data-id=\"dc594f3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"en\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-19cf0e7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"19cf0e7\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-010f755\" data-id=\"010f755\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dbae718 elementor-widget elementor-widget-text-editor\" data-id=\"dbae718\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>Analysis of the informational content of the added value disclosed in the SVA<\/h2><p>This study, in summary, conducts an analysis of the informational content of the value-added (VA) accounting identity, disclosed in the statement of added value (SAV), as a proxy of the accounting identity gross domestic product (GDP). The relevant findings of the study indicate that part of the asymmetry between the accounting identities, VA and GDP, can be mitigated with a rearrangement of the economic aggregates of the wealth produced and distributed, and the other part may require further study, including of a conceptual nature. To mitigate the effects of the existing asymmetry between the two aggregates, VA and GDP, the study suggests the use of the total value-added accounting identity (TVA) that produces the estimation errors that explain the difference in guidelines between the Accounting Standards and the System of National Accounts (SCN).<br \/>Keywords: Added value. VA informational content. Asymmetry between VA and GDP. Total value-added (VAT).<\/p><p>\u00a0<\/p><h2>1. Introduction<\/h2><p>The informational content of financial statements guided by accounting standards is one of the instruments for monitoring micro and macroeconomic management, considering the accounting framework as a guide for procedures for measuring economic aggregates within the scope of organizations and public policies.<\/p><p>This ordering directs the informational content of each demonstration, whether it is a demonstration of static or dynamic content, or as a demonstration of inventories, demonstration of economic-financial performance or social context.<br \/>The discussion of this brief study revolves around the demonstration of social context called Statement of Added Value (SAV), whose informational content reveals the wealth generated and distributed by an economic organization, within the horizon of a period of time called fiscal year. The wealth produced by all economic organizations, evidenced in the SAV, represents a proxy for the gross domestic product (GDP) generated by the formally constituted productive microeconomic cells operating in each sector of the economy.<\/p><p>This wealth, signaled by GDP, is composed of the sum of all final goods and services produced in the country&#8217;s territory, whose economic aggregates are represented by family income, capital income, government purchases, trade balance and tax burden that, directly and\/or indirectly, burdens all consumers, but it is necessary to pay for the maintenance of the State and finance public policies. This definition qualifies the GDP, in the nominal evaluation criterion, as argued by Froyen (2002, p. 19).<\/p><p>The GDP, by whatever evaluation criterion, is an accounting identity as argued by Froyen (2002, p. 30), modeled by the system of national accounts (SCN), guided by the UN and managed by the Brazilian Institute of Geography and Statistics (BIGS) in measuring the country&#8217;s economic activity at a macroeconomic level. The VA is also an accounting identity, guided by the accounting framework and not by the SCN, whose informational content signals the wealth produced and distributed by an economic organization, in a given period of time, at a microeconomic level.<\/p><p>Similar to the model that defines the GDP accounting identity, the VA accounting identity is specified with the economic variables (a) household income, (b) debt capital income, (c) equity income and (d) tax burden. Although there are similarities between the two accounting identities, there are also differences because the measurement criterion for the GDP accounting identity is market price, while the measurement criterion for the VA accounting identity is cost price.<\/p><p>It is relevant to note that the SAV is not formally covered by the IFRS standard that regulates global accounting on the planet. It, the SAV, is an informational content instituted in Brazil, of mandatory disclosure for publicly traded companies with securities traded on the capital market and, optional, for other economic entities.<\/p><p>However, despite the relevant informational content of the SAV, in the generation and distribution of wealth, at a microeconomic level, the differences between accounting concepts and economic concepts must be observed to mitigate existing asymmetries, such as in the concept of profit. In accounting, profit is a residual variable, while in economics, profit is an input to production. Another relevant difference to be mitigated, already mentioned in the previous paragraph, is the effects of the criterion for evaluating accounting identities, which in economics is market price and in accounting is cost.<\/p><p>\u00a0<\/p><h2>2. SAV informational content<\/h2><p>The SAV reveals the value of the wealth produced and distributed by economic organizations, in a period of time called fiscal year or fiscal year, in a microeconomic context. The formation of wealth starts from the difference between the value of production, represented by revenue, and the costs transferred from other economic entities, which is sufficient, if not to eliminate, to mitigate the effects of double counting in the measurement of economic aggregates. Hence the consideration that this informational content of the SAV is a good proxy to reveal the wealth produced and distributed at an aggregate level, if the wealth of all economic organizations is taken together.<\/p><p>From the conceptual side of profit (positive or negative), guided by the accounting framework, it is interesting to observe that there may be a negative generation of wealth and, in this case, the aggregates of wealth distribution, such as household income and third-party capital income, are financed by equity or by the entropy of assets that is consumption of capital. So, in this scenario, there is a revelation that the wealth distributed as household income and debt capital income is financed by the consumption of assets that reduces the capital stock, moving it away from the \u201csteady state\u201d that suggests balance, as discussed by Mankiw (2008 \u2013 p.142).<\/p><p>In this context, the informational content of the SAV allows observing, in an objective way, the movement of synergy or entropy of assets (capital stock) signaling growth or reduction of the economic organization.<\/p><p>\u00a0<\/p><h2>3. Models of accounting identities<\/h2><p>Starting from the vertical demonstration of the SAV, two large blocks of economic aggregates are observed: the first block refers to the wealth produced, and the second block refers to the wealth distributed. In the first block, in economic terms, the wealth produced is the difference between production (gross revenue) and the inputs consumed in production. In the second block, distributed wealth is the algebraic sum of household income, tax burden and capital income. All these aggregates are shown as a result of a fiscal year. It is in this temporality that one of the asymmetries between the two accounting identities, GDP and VA resides, which is the residual balance of production not yet sold, which the accounting identity PIB evaluates at market price and the accounting entity VA evaluates at cost. From this context, the algebraic model that defines the added value demonstrated by the SAV can be specified as such.<br \/>3.1 VA assessment model by the economic organization<\/p><p>VA=RF+RC+T (1)<\/p><p>Where HI is household income; CI is capital income (own and third parties); and T is the tax burden.<\/p><p>The specified model is for the VA of an economic organization. The model is deterministic because it has only inputs and produces a single set of outputs and, therefore, does not admit an error term.<\/p><p>Now, observe the GDP accounting identity model, specified in Equation (2), which also presents itself as a deterministic model because it has defined inputs and admits a single output set, but broader than the VA accounting identity model.<br \/><span style=\"background-color: transparent;\">GDP=C+I+G+(X-M) (2)<\/span><\/p><p>Where C is household consumption; I is the investment of economic organizations; G is government spending and (X-M) is the trade balance.<\/p><p><span style=\"background-color: transparent;\">So, as can be seen, there is a relevant difference between the models for calculating the VA and GDP accounting identities shown in Eq. (1) and Eq. (2). This difference indicates that the wealth produced and distributed by the two models is not equivalent.<\/span><\/p><p><span style=\"background-color: transparent;\">In the search for a convergence between the two models, a total VA model (TVA) is proposed, with the introduction of an error term, as specified in Eq. (3), to mitigate asymmetry, flow communication and allow better interpretation of information content. The TVA accounting identity model is econometric and will produce estimated error values in the approximation of the VA and GDP accounting identities, varying in time (t=1,2,&#8230;,n).<\/span><\/p><p><img decoding=\"async\" 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alt=\"\" \/><\/p><p>Thus, the specification of the accounting identity TVA, with the error term \uf06d, captures the differences in the residual balance of the inventory, the balance of the trade balance and the evaluation criterion, as it is an added value model. To estimate the quantum of accounting identity TVA, the quantum of accounting identity GDP is used as a dependent variable<\/p><p>\u00a0<\/p><h2>4. Testing the TVA model<\/h2><p>In this section are reproduced the results obtained with the application of the model of Equations (1); (2) and (3). In the \u201cVA\u201d column are the results obtained with Equation (1). In the \u201cGDP\u201d column are the results obtained with Equation (2). In the \u201cErrors\u201d column are the results obtained with Equation (3). Errors are the proxies that explain the differences between the quanta of the VA and GDP accounting identities produced by the measurement criterion, by the residual value of unsold inventories and by the balance of trade.<\/p><p><img decoding=\"async\" style=\"background-color: transparent;\" 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\" alt=\"\" \/><\/p><h2>\u00a0<\/h2><h2>5. Final considerations<\/h2><p>This reduced study indicated that it is possible to improve the informational content of the SAV by promoting a rearrangement of economic aggregates, production and distribution of wealth, to reduce asymmetries between the accounting identities VA and GDP, through the disclosure of the value of residual inventories that make up production of the period. The other differences may require further studies, including those of a conceptual nature.<\/p><p>The VA is a valuable informational content that, regardless of the size of the economic organization, should compose the list of basic information to be disclosed.<\/p><p>Although the study is summarized, it is expected that it can contribute to Scholars and market professionals in the use of the content of economic information produced by the SAV.<\/p><p>\u00a0<\/p><h2>References<\/h2><p>Froyen, Richard T. (2002). Macroeonomia. 5\u00aa. ed. S\u00e3o Paulo, Saraiva.<br \/>Mankiw, N. Gregory. (2008). Macroeconomia. 6\u00aa. ed. Rio de Janeiro, LTC.<br \/>SNC &#8211; System of Nacional Accounts. (2008). United Nations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>&nbsp;vers\u00e3o em portugu\u00eas &nbsp;vers\u00e3o em ingl\u00eas Este estudo, de forma resumida, conduz uma an\u00e1lise do conte\u00fado informacional da identidade cont\u00e1bil valor agregado (VA), divulgado na demonstra\u00e7\u00e3o do valor adicionado (DVA), como uma proxy da identidade cont\u00e1bil Produto Interno Bruto (PIB). Os achados relevantes do estudo sinalizam que parte da assimetria entre as identidades cont\u00e1beis, VA [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2271,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[112],"tags":[57],"yst_prominent_words":[],"taxonomy\/academias":[92],"taxonomy\/autores":[122],"taxonomy\/edicoes-revista":[169],"class_list":["post-2270","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-112","tag-socializando-o-conhecimento","academias-nacional","autores-jose-antonio-de-franca","edicoes-revista-edicao-40"],"_links":{"self":[{"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/posts\/2270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/comments?post=2270"}],"version-history":[{"count":27,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/posts\/2270\/revisions"}],"predecessor-version":[{"id":2553,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/posts\/2270\/revisions\/2553"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/media\/2271"}],"wp:attachment":[{"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/media?parent=2270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/categories?post=2270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/tags?post=2270"},{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/yst_prominent_words?post=2270"},{"taxonomy":"academias","embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/taxonomy\/academias?post=2270"},{"taxonomy":"autores","embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/taxonomy\/autores?post=2270"},{"taxonomy":"edicoes-revista","embeddable":true,"href":"https:\/\/abracicon.org\/abracicon_saber\/wp-json\/wp\/v2\/taxonomy\/edicoes-revista?post=2270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}