Previous literature on the Environmental Kuznets Curve has focused extensively on why or why not such a relationship is observed given specific scenarios. More recent literature has shifted attention towards factors that may explain differences in the distribution or threshold of the curve. The purpose of this paper is to determine why we witness different cutoff points for environmental improvement given the same dependent variable. For this analysis, the relationship between CO2 emissions and GDP growth is observed in the United States and the BRIC countries (Brazil, Russia, India and China) from 1981-2006. The results suggest that the standard for environmental improvement is lower for the BRIC countries compared with the United States. Factors that explain this are FDI inflow, share of production from different industries, share of energy from different sources, and overall incentives.

The effect of economic growth on environmental quality is much under dispute. A number of empirical studies have made the claim that there exists in some income ranges a positive relation between per capita income and some measure of environmental quality. According to this inverted U-shaped pattern of different pollutants relative to per capita incomes in different countries which is also called the "Environmental Kuznets Curve" (EKC), environmental pressure increases up to a point as income goes up; after the turning point environmental quality improves as income keeps rising. Possible explanations for this pattern are seen in the progression of economic development, from clean agrarian economies to polluting industrial economies to clean service economies. This trend is enhanced through the transfer of cleaner technology from high-income countries to low-income countries and the tendency of people with higher income having a higher preference for environmental quality. Since this relationship is so fundamental to questions of economic development and sustainability it has provoked a vast load of research over the last seven years supporting but also heavily criticizing the results and conclusions. This paper gives an overview of the literature published on this topic to date and the conceptual, methodological and fundamental critique put forward. (author's abstract) / Series: Working Papers Series "Growth and Employment in Europe: Sustainability and Competitiveness"

We use satellite data on forest cover along national borders in order to study the determinants of deforestation differences across countries. We combine the forest cover information with data on homogeneous response units, which allow us to control for cross-country geoclimatic differences when assessing the drivers of deforestation. Income per capita appears to be the most robust determinant of differences in cross-border forest cover and our results present evidence of the existence of decreasing effects of income on forest cover as economic development progresses.(authors' abstract) / Series: Department of Economics Working Paper Series

The theory of the Environmental Kuznets Curve (EKC) proposes to answer important questions regarding the connections between economic growth (development) and the environment. The theory postulates the environment need not always suffer as the economy develops, and it has generated strong support and opposition. Rather than attempting to defend or debunk EKC theory, this research challenges a practice engaged in by proponents and opponents alike. Simplifying assumptions are a necessary part of economic analysis, but this research shows that any assumptions may not be universally applicable. Utilizing, in turn, a simple one good model and then a more complicated two good model, it is discovered that the competing assumptions utilized by proponents and opponents of the EKC theory may both be valid, depending upon the conditions present in the system being analyzed.

In this thesis, we will relax two major assumptions in economic growth theory. First of all, we will study growth models with eterogeneous capital goods, the so called vintage capital models: technological advances are not incorporated in all generations of capital goods and there is an optimal age distribution of the capital stocks. We will devote the three first chapters of this thesis to this class of models. Several lessons on technology diffusion will be extracted, notably in connection with the nowadays hot debate on energy saving, technology progress, growth and environmental policy. Secondly, we will introduce explicitly the geographical dimension to the neoclassical growth models, which allow us to build a new class of models. We call them geographic growth models. In this framework, we will identify the consequences of capital mobility across space. In particular, we will examine the optimal stationary distribution of capital across space. Under this framework, we could (i) study the continuous space structure, and (ii) allow capital accumulation.

The concept of economic development has broadened to include environmental quality and population health. Interactions between income and pollution, income and health, and pollution and health have been studied separately by researchers from various disciplines. This study attempts to unify several different research strands and analyze simultaneous interactions between population health, measured by the infant mortality rate, pollution, and income in one endogenous system. Socioeconomic, racial, and rural urban disparities in infant mortality, pollution, and income are analyzed. The simultaneous equation system, estimated using the two-stage least squares method, tests whether pollution effects on infant mortality are outweighed by income effects. The study finds that income is a stronger determinant of infant mortality than pollution. Evidence for the environmental Kuznets curve is ambiguous. Disparities in infant mortality, pollution, and income are correlated with counties rural-urban status, income inequality, and ethnic diversity. Regional patterns identify wide geographical differences in levels of pollution, income, and infant mortality. The Southeast region stands out as a region with the highest infant mortality rate, relatively high levels of air pollution and chemical releases, and low per capita incomes.

This thesis addresses the subject of environmental Kuznets curve (EKC). EKC is a model expressing the relationship of economic development and environmental damage. The chosen topic is relevant in connection with ongoing discussions relating to global warming and the impact of human activity on this phenomenon. The concept would give us many clues to the future development of pollution not only in developing countries. The paper examines whether research into the relationship of economic development the country and harming the environment makes sense. The paper also seeks to contribute to confirm or refute the concept of the EKC for specific situations. Specifically, the EKC model validation for selected indicators of environmental pollution in the Czech Republic. The main methods of work are research of literature and empirical analysis. Searches of papers and other publications relating to the concept of EKC is shown in the first part. The second part is devoted to empirical testing EKC for various pollutants in the Example of the Czech Republic. Main result of a literature research is that empirical validation of EKC model makes sense. The work with results of those researches has to be very careful. Main output of own research is verifying the validity of EKC model for selected air pollutants in Czech Republic.

Nos últimos anos, os impactos da poluição no meio ambiente se tornou um tema de grande relevância, uma vez que níveis desmedidos de emissões têm sido responsáveis por alterações ambientais. Muitos autores se dedicaram a estudar a relação existente entre o crescimento econômico e a poluição. Destes estudos, surgiram duas abordagens distintas: Curva Ambiental de Kuznets e convergência das emissões. A Curva Ambiental de Kuznets postula a existência de uma relação no formato U invertido entre emissões e renda. Desta forma, à medida que renda alcança um certo nível, a taxa de crescimento das emissões se reduz. Já a convergência das emissões implica em uma taxa de crescimento equilibrado no longo prazo, o que leva ao estado estacionário das emissões. Neste contexto, Brock e Taylor (2010) desenvolveram um modelo alternativo que liga estas duas metodologias. O modelo presume que, quando as emissões convergem ao estado estacionário, implicitamente ocorre o movimento descrito pela Curva Ambiental de Kuznets. O objetivo deste trabalho é estimar os dois modelos separadamente com o intuito de verificar se os resultados apontam para uma mesma direção. As estimações da CAK foram sensíveis ao modelo escolhido. Quando se utiliza a renda e a renda ao quadrado como explicativas, os coeficientes estimados apontam para uma curva no formato U invertido, com ponto de inflexão de US$ 792.805,60. Já a estimação do modelo com as variáveis renda, renda ao quadrado e renda ao cubo apresentou uma curva no formato N, e o ponto de inflexão obtido foi de US$ 6.168,88. A estimação do modelo convergência proposto por Brock e Taylor (2010) apontou evidências que ocorre convergência condicional das emissões per capita, para a maioria das estimações realizadas. / Recently the impacts of pollution on environment became a relevant topic, as great levels of emissions are responsible for environmental change. Many researchers started to study the relationship between economic growth and pollution. Two distinct approaches followed from these studies: the Environmental Kuznets Curve and the convergence of emissions. The Environmental Kuznets Curve assumes the existence of an inverted U relationship between emissions and income. As the income grows and reaches a threshold level, the growth rate of emissions goes down. The convergence of emissions implies a steady state of emissions in the long run. In this context, Brock and Taylor (2010) built an alternative model that makes a bridge between both methodologies. The model assumes that as there is convergence of emissions towards steady state, there is as a result a path similar to an Environmental Kuznets Curve. The purpose of this research is to estimate both models separately in order to verify if the results point to the same conclusions. The estimates of the Environmental Kuznets Curve were sensitive to the model chosen. As we use income and income squared as independent variables, the estimated coefficients point to an inverted U curve with a turning point at US$ 792,805.60. The estimates of the model with the variables income, income squared and income cubic reveals a N curve with a turning point at US$ 6,168.88. The estimates of the convergence model proposed by Brock and Taylor (2010) pointed to conditional convergence of emissions per capita for most of the cases.

O objetivo desta dissertação foi estudar os determinantes do desflorestamento e verificar empiricamente se a Expansão da Fronteira Agrícola no estado de Mato Grosso segue uma trajetória ao encontro da Curva Ambiental de Kuznets. O método utilizado para testar essa hipótese foi o de dados em painel econométrico. Este estudo se justifica devido à temática ambiental e ao caráter multidimensional do tema, como o abordado pelas ciências sociais. Os principais resultados apontam que inicialmente o uso e a ocupação da área causam desflorestamento, mas sem que ocorra crescimento do PIB per capita, em um segundo estágio, caracterizado pela instalação de atividades econômicas rentáveis, crescem tanto o desflorestamento como o PIB per capita e somente em um terceiro momento a degradação ambiental diminuirá. Esta última fase, quando verificada apenas pelo resultado econométrico induziria a um erro de interpretação, desfeito pela complementação da espacialização do processo da Expansão da Fronteira Agrícola. / The aim of this thesis was tostudy the determinants of deforestation and verify empirically if the expansion of the agricultural boundary in the State of Mato Grosso follows a trajectory to meet the environmental Kuznets Curve. The method used to test this hypothesis was the econometric panel data. This study is justified due to the environmental subject and the multidimensional character of the theme, as discussed by social sciences. The main results show that using and as well performing occupation of the area cause deforestation, nevertheless without per capita GDP increasing, in a second stage, characterized by the installation of profitable economic activities, increasing both the deforestation as the GDP per capita and only in a third environmental degradation will decrease. This last phase, when checked only by the econometric results, leads to an wrong interpretation, undone by complementing the definition of the agricultural boundary process expansion.

The purpose of this dissertation would be to find the relationship between CO2 emission and GDP. We found that in case of the majority of countries the CO2 emission is related to national income and follows an inverted-U shaped curve. In our analysis we used the regression technique on 139 countries within the time period 1985-2004 to model and analyze the mentioned relationship and define the variables, that describe it. As it will be proved, Environmental Kuznets Curve validate the model and our hypothesis confirm other researches, therefore the inverse-u relationship proves to be correct.