933 resultados para GDP Per capita


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[cat] Aquest article metodològic ofereix estimacions del PIB per càpita regional de les regions portugueses, entre 1890 i 1980. Aquestes estimacions s’han obtingut seguint la metodologia proposada per (Geary and Stark, 2002) per a la industria, i considerant estimacions de producció directa per la resta de sectors.

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This paper uses the possibilities provided by the regression-based inequality decomposition (Fields, 2003) to explore the contribution of different explanatory factors to international inequality in CO2 emissions per capita. In contrast to previous emissions inequality decompositions, which were based on identity relationships (Duro and Padilla, 2006), this methodology does not impose any a priori specific relationship. Thus, it allows an assessment of the contribution to inequality of different relevant variables. In short, the paper appraises the relative contributions of affluence, sectoral composition, demographic factors and climate. The analysis is applied to selected years of the period 1993–2007. The results show the important (though decreasing) share of the contribution of demographic factors, as well as a significant contribution of affluence and sectoral composition.

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The industrial revolution and the subsequent industrialization of the economies occurred Orst in temperate regions. We argue that this and the associated positive correlation between absolute latitude and GDP per capita is due to the fact that countries located far from the equator suffered more profound seasonal auctuations in climate, namely stronger and longer winters. We propose a growth model of biased innovations that accounts for these facts and show that countries located in temperate regions were more likely to create or adopt capital intensive modes of production. The intuition behind this result is that savings are used to smooth consumption; therefore, in places where output auctuations are more profound, savings are bigger. Because the incentives to innovate depend on the relative supply factors, economies where savings are bigger are more likely to create or adopt capital intensive technologies.

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Corruption is a phenomenon that plagues many countries and, mostly, walks hand in hand with inefficient institutional structures, which reduce the effectiveness of public and private investment. In countries with widespread corruption, for each monetary unit invested, a sizable share is wasted, implying less investment. Corruption can also be a burden on a nation’s wealth and economic growth, by driving away new investment and creating uncertainties regarding private and social rights. Thus, corruption can affect not only factors productivity, but also their accumulation, with detrimental consequences on a society’s social development. This article aims to analyze and measure the influence of corruption on a country’s wealth. It is implicitly admitted that the degree of institutional development has an adverse effect on the productivity of production factors, which implies in reduced per capita income. It is assumed that the level of wealth and economic growth depends on domestic savings, foster technological progress and a proper educational system. Corruption, within this framework, is not unlike an additional cost, which stifles the “effectiveness” of the investment. This article first discusses the key theories evaluating corruption’s economic consequences. Later, it analyzes the relation between institutional development, factor productivity and per capita income, based on the neoclassical approach to economic growth. Finally, it brings some empirical evidence regarding the effects of corruption on factor productivity, in a sample of 81 countries studied in 1998. The chief conclusion is that corruption negatively affects the wealth of a nation by reducing capital productivity, or its effectiveness.

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Este trabalho constrói um modelo de gerações sobrepostas em tempo contínuo de acumulação de capital. Os indivíduos passam por dois períodos de vida distintos. No primeiro, que transcorre entre o nascimento até a idade de T anos, os indivíduos ofertam trabalho inelasticamente, consomem e acumulam capital de forma ótima e se defrontam com uma probabilidade de morte nula. No segundo aposentam-se e passam a ter uma probabilidade de morte positiva, auferindo renda do patrimõnio acumulado ej ou recebendo transferências financiadas com imposto distorcido sobre a renda. Neste caso há um sistema de previdência de repartição simples. A partir da agregação das escolhas individuais, encontra-se uma equação para o capital de estado estacionário no sistema fundado e no sistema de repartição simples. Pode-se então calcular a renda de estado estacionário em cada um dos sistemas e a sensibilidade do diferencial de renda com ralação a diversos parâmetros.

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A per capita model for the growth, development and reproduction of the coccinellid predator Rhizobius lophanthae (Blaisd) feeding on the oleander scale (Aspidiotus nerii Bouche (Homoptera: Diaspididae)) was developed. A thermal threshold for development of 9.4 degrees C was found. Under conditions of unlimited food, the relationship of mass at time t+1 to that at t (in days at 25 degrees C) suggests an 8.7 percent growth rate per mg larvae per day at 25 degrees C. An adult female beetle produces approximately 20 eggs per day while consuming an average of 8.5 scales/day. This is approximately 2.16 eggs per scale consumed above the maintenance level of 1.88 scales per day. More precisely, this compensation point is 0.12 mg of prey/mg of predator/day at 25 degrees C and the egestion rate is 1 - beta = 0.63.

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Incluye Bibliografía

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Este artigo analisa o processo de convergência do valor da produção agrícola dos municípios cearenses utilizando um modelo com efeito threshold no período de 1970 a 1996. Os resultados mostraram a existência de quatro clubes de convergência. Um formado pelo grupo de municípios mais ricos, outro formado pelo grupo de municípios mais pobres e dois grupos intermediários. Os resultados intra-clubes indicam que tanto o capital humano como o capital físico são importantes na explicação do processo de crescimento da agricultura cearense. Já os resultados para a terra mostraram que este fator é importante apenas para os dois clubes mais ricos.