Avaliação de políticas públicas: estudo do comportamento de indicadores relacionados com a saúde em municípios do estado de Pernambuco após a emenda Constitucional Nº 29

The Brazilian Public Health System (Sistema Único de Saúde - SUS), defined by the Constitution of 1988, is almost 20 years old and is a landmark for health public policies. In these 20 years, the law was altered several times with the objective of prioritizing the investment of public money in such a needy area as health. Among these changes, it is important to single out the Constitutional Amendment number 29, issued on 13th September 2000, which determined the minimum investment in health. According to this amendment, as from the year 2000, the municipalities should invest in health services a minimum of 7% of the revenue from taxes and transferences from the Federal and State governments. This value was to rise gradually to 15% by 2004. Since every public policy should be systematically evaluated and considering the assumption that, according to the incrementalist theory, more money invested in health would tend to solve the crisis in the health system, this dissertation consists of a study of a set of health indicators in some municipalities of the State of Pernambuco after the Amendment 29. The evaluation period spanned 4 years, from 2002 to 2005 and the area chosen for the study was located in southern agreste region of the state. Ten health indicators were selected, all of which included in the Administrative Rule no 493, of the Health Ministry. It was found that in the chosen period the average investment in health was greater than 15% of the municipalities¿ revenue since 2002. However, the value of the investment per capita, considering the municipality's share of it, which was half of the total investment, decreased from 2002 to 2004 and increased in 2005. It was also found that the municipalities with the lowest per capita income were the ones with the highest investment per capita in health. As regards children mortality in the region, it was on average 33 for every 1000 children born, which is classified as ¿medium¿ according to the above mentioned Administrative Rule no 493. No statistically significative correlation was found between the amount of money invested in health and children mortality.

Distortions in the investment goods sector and productivity decline

We study the impact of distortions in the investment goods sector on aggregate total factor productivity (TFP). We develop a two-sector neo-classical growth model in which TFP in the capital goods sector relative to TFP in the consumption sector is inversely related to the price of investment relative to consumption, so that we use relative prices to measure TFP in the investment goods sector. The model is calibrated to Brazil and we nd that distortions in the investment goods sector may explain most of the decline in Brazilian TFP relative to the United States since the mid-1970s.

The determinantss of foreign direct investment distribution among the Brazilian states

O Investimento Estrangeiro Direto (IED) tem desempenhado um papel importante no esforço do Brasil para tornar-se uma economia orientada para o mercado. De 1995 a 2012 o Brasil recebeu $ 511.5 bilhões de dólares em IED. Em 2012, o Brasil foi o segundo país em desenvolvimento que mais recebeu IED e o quarto no mundo (UNCTAD).Devido à concentração geográfica, os estados brasileiros que são consideravelmente menos desenvolvidos e mais pobres, são aqueles que mais precisam de investimentos e que no entanto, não têm sido receptores relevantes de IED. Em 2010, os estados com os maiores estoques de IED foram São Paulo, com 42,3 por cento do total ($ 99,9 bilhões de dólares), Rio de Janeiro com 13,3 por cento ($ 31,4 bilhões de dólares) e Minas Gerais com 10,6 por cento do total ($ 25,1 bilhões de dólares). Como pode ser observado, apenas três dos vinte e sete estados brasileiros receberam cerca de 66 por cento do total de IED destinado ao Brasil.Dada tal diferenciação na distribuição de IED entre os estados brasileiros, o presente estudo busca explicar se o benefício tributário também é determinante para o fluxo de IED, além das demais variáveis já consideradas como determinantes em outros estudos. Dada a limitação de dados, realizamos duas análises econométricas com dados em painel: 1. Usando seis variáveis chaves: tamanho do mercado consumidor, a qualidade da mão de obra, infraestrutura, custo da mão de obra, carga tributária e benefício tributário (por macro regiões), nos anos de 1995, 2000, 2005 and 2010; 2. Usando cinco variáveis: as mesmas do primeiro modelo, excluindo o custo da mão de obra (por falta de dados) e utilizando os dados de benefício tributário por estado, nos anos de 2010, 2011 e 2012.