So far, numerous studies have been devoted to investigate the relationship between happiness and income by asking the question whether economic growth has a positive impact on happiness. However, the reversed relationship from happiness to economic output has received much less attention in the literature. This paper attempts to investigate such relationship by using data from the European Value Survey that contains subjective reported well-being (happiness, or life satisfaction) values across 47 European countries from 1981 to 2009. Gender imbalance is used as an instrument for happiness in order to disentangle the causal effect of happiness on income. Based on a derived Solow model, where labor efficiency is assumed to be positively affected by worker happiness, regression analyses suggest that the sense of happiness does have a positive and highly significant impact on GDP per worker. Robustness tests further show that the result also holds for life satisfaction. According to the results, the author recommends governments to use well-being oriented index, along with GDP to measure the overall economy.

Yes / This paper analyses the impact of geopolitical risk on carbon dioxide (CO2) emissions inequality in the panel dataset of 38 developed and developing economies from 1990 to 2019. At this juncture, the empirical models control for the effects of globalisation, capital-labour ratio, and per capita income on CO2 emissions inequality. The panel cointegration tests show a significant long-run relationship among the related variables in the empirical models. The panel data regression estimations indicate that geopolitical risk, capital-labour ratio, and per capita income increase CO2 emissions inequality. However, globalisation negatively affects CO2 emissions inequality in the panel dataset of 38 developed and developing countries. The pairwise panel heterogeneous causality test results align with these benchmark results and indicate no reverse causality issue. Potential policy implications are also discussed. / The authors acknowledge the grant from the Major Project of Philosophy and Social Science Research in Colleges (Grant Number: 2023SJZD027).

Yes / After heart disease, cancer is the most common cause of death in many developed countries. In this paper, we discuss the relationship between economic growth and cancer incidence. The purposes of the paper are to describe and measure the influence of an increasing real per capita income on the overall incidence of cancer. Using cross-sectional data for 162 countries, regression results with crude and age-standardised rates allow us to measure the elasticity of cancer incidence with respect to per capita income, and to decompose the elasticity coefficient into two components: age-effect and lifestyle-effect.

Yes / : Understanding how cancer incidence evolves during economic growth is useful for forecasting the economic impact of cancerous diseases, and for governing the process of resources allocation in planning health services. We analyse the relationship between economic growth and cancer incidence in order to describe and measure the influence of an increasing real per capita income on the overall rate of cancer incidence. Method:We test the relationship between real per capita income and the overall rate of cancer incidence with a cross-sectional analysis, using data from the World Bank and the World Health Organization databases, for 165 countries in 2008. We measure the elasticity of cancer incidence with respect to per capita income, and we decompose the elasticities coefficients into two components: age-effect and lifestyle-effect. Results: An Engel’s model, in a double-log quadratic specification, explains about half of the variations in the age-standardised rates and nearly two thirds of the variations in the incidence crude rates. All the elasticities of the crude rates are positive, but less than one. The income elasticity of the age-standardised rates are negative in lower income countries, and positive (around 0.25 and 0.32) in upper middle and high income countries, respectively. Conclusions:These results are used to develop a basic framework in order to explain how demand-side economic structural changes may affect the long run evolution of cancer incidence. At theoretical level, a J-Curve is a possible general model to represents, other things being equal, how economic growth influence cancer incidence.

Made available in DSpace on 2016-04-26T20:48:39Z (GMT). No. of bitstreams: 1 Cleuseni Hermelina de Carvalho.pdf: 1364887 bytes, checksum: 3b44bf46cef84a2cfa9ccc7046418cc7 (MD5) Previous issue date: 2013-10-24 / The programs of conditional cash transfer are increasingly playing an important role in combating poverty in many countries of Latin America, especially in Brazil. The objective of this work is to analyze the contribution of Bolsa Família in household income inequality in Brazil between 2006 and 2011. To achieve the purpose, we analyze the relative participation of eight sources of income: labor, pensions, Bolsa Família (proxy variable), pensions, allowances, grants, rents and interest in the five geographical regions, North, Northeast, Midwest, Southeast, and South and metropolitan regions. That said, this study was organized in three chapters. The first chapter presents a reinterpretation of the causes of income inequality backed in Brazilian literature. The second analyzes the income transfer programs in four Latin American countries: Mexico, Chile, Argentina and Peru. The third presents a mathematical technique used to decompose the Gini, we analyze the empirical results for Brazil, macro-regions and metropolitan areas. Finally, it is concluded that, among the presented results, the importance of the Bolsa Família and especially labor income to reduce the degree of inequality / Os programas de transferência condicionada de renda vêm cada vez mais desempenhando um papel importante no combate à pobreza em vários países da América Latina, principalmente no Brasil. Assim, o objetivo desse trabalho é analisar a contribuição do Programa Bolsa Família na desigualdade da renda domiciliar per capita no Brasil, entre 2006 e 2011. Para atingir o propósito, analisa-se a participação relativa de oito fontes de renda: trabalho, aposentadorias, Programa Bolsa Família (variável proxy), pensões, abonos, doações, aluguéis e juros, nas cinco macrorregiões e regiões metropolitanas brasileiras. Posto isto, o presente estudo foi organizado em três capítulos. O primeiro capítulo apresenta uma releitura das causas da desigualdade de renda lastreada na literatura especializada brasileira. No segundo analisam-se os programas de transferência de renda em quatro países latino-americanos: México, Chile, Argentina e Peru. O terceiro apresenta a técnica matemática utilizada para decompor o Gini, analisam-se os resultados empíricos para Brasil, macrorregiões e regiões metropolitanas. Dentre os resultados, destacam-se a capacidade do programa Bolsa Família em contribuir para a queda da desigualdade da renda domiciliar nacional, indicando uma possível focalização em seu desenho como política

Este trabalho analisou o comportamento da produtividade da terra na agricultura brasileira, avaliando se há ou não convergência na evolução dessa variável. A análise compreende o período de 1960 a 2001 e alguns sub-períodos desses 42 anos, mais precisamente, os sub-períodos de 1970 a 2001, 1975 a 2001 e 1980 a 2001. A convergência é um processo em que uma mesma variável (por exemplo, renda per capita, produtividade da terra) apresenta diferentes valores entre países, regiões ou estados, mas essa diferença se reduz ao longo do tempo, indicando que a desigualdade diminui. As razões para haver o processo de convergência são várias, destacando-se as mudanças estruturais no processo de produção, a difusão tecnológica, a retirada de obstáculos ao crescimento da produção, dentre outras. A ocorrência da convergência da produtividade torna mais homogênea, do ponto de vista da modernidade, a agricultura do país. Para atingir o objetivo proposto na tese, desenvolveu-se um modelo teórico sobre convergência da produtividade da terra, tomando como base o modelo de Barro e Sala-i-Martin (1990). Quatro indicadores de convergência foram testados, os quais são: convergência- β absoluta, convergência σ, grupos de convergência e convergência- β condicional. Os dados utilizados referem-se às produtividades das culturas de algodão herbáceo, arroz, batata-inglesa, café, cana-de-açúcar, feijão, fumo, laranja, mandioca, milho e soja, coletados no Anuário Estatístico do Brasil. Inicialmente, testou-se a presença de convergência- β absoluta para as onze culturas supracitadas. Apenas seis culturas apresentaram essa convergência (café, cana-de-açúcar, fumo, laranja, mandioca e soja). Para as mesmas onze culturas foi testada a presença de convergência- σ e apenas a cultura da soja a apresentou para todos os sub-períodos analisados e as culturas da laranja e mandioca para o período de 1960 a 2001. Isto não invalida o resultado da convergência- β absoluta, pois a literatura mostra que se houver convergência σ, necessariamente haverá convergência- β absoluta, mas não o inverso. Para as culturas de algodão-herbáceo, arroz, batata-inglesa, feijão e milho foi testada a presença de grupos de convergência, diagnosticando-os para as culturas do algodão-herbáceo, batata-inglesa e feijão a convergência- β absoluta para os estados com maior produtividade. Finalmente, para a cinco culturas que não apresentaram convergência- β absoluta, testouse a presença de convergência- β condicional, usando como variáveis explicativas a produtividade inicial da cultura, a deficiência hídrica e o capital humano. Bons resultados econométricos foram obtidos para a convergência- β condicional da produtividade do algodão-herbáceo, da batata-inglesa e do feijão. No entanto, não se obteve resultados satisfatórios para as culturas do arroz e do milho. A partir desses resultados, o trabalho sugere algumas medidas de política econômica capazes de melhorar a convergência da produtividade da terra na agricultura brasileira, em especial para as culturas do arroz e do milho. Isto permitiria uma modernidade mais homogênea na agricultura nacional. / This work analyzed the behavior of land productivity in the Brazilian agriculture, evaluating if there is or not convergence in the evolution of this variable. The analysis is taken in the time period from 1960 to 2001 and also in some sub-periods of these 42 years, more precisely, the sub-periods of 1970-2001, 1975-2001 and 1980- 2001. The convergence is a process in which the same variable (for example, per capita income, land productivity) presents different values among countries, regions and states, but this difference is reduced during the time, indicating that the inequality decreases. There are several reasons to appear a convergence process, especially the structural changes in the production process, technological diffusion, removal of obstacles in the production growth, among others. The occurrence of the productivity convergence becomes more homogenous the country’s agriculture, from the modernity point of view. To reach the objective proposed in the thesis, a theoretical model about convergence in the land productivity was developed, based on Barro and Sala-i-Martin model (1990). Four convergence indicators were used, which are: β- convergence, σ-convergence, groups of convergence and β-conditional convergence. The data used refer to the productivity of herbaceous cotton, rice, potato, sugar cane, beans, tobacco, orange, manioc, corn and soybeans crops, collected from Brazilian Annual Statistical Yearbook. Initially, the presence of β-convergence was tested for the eleven crops commented above. Only six crops presented this convergence (coffee, sugar cane, tobacco, orange, manioc and soybeans). For the same eleven crops, the presence of σ-convergence was tested and only soybeans presented it for all the subperiods analyzed and the orange and manioc crops for the period of 1960-2001. This does not invalidate the β-convergence result, because the literature shows that if there is σ-convergence, the β-convergence will necessarily happen, but not vice-versa. For cotton, rice, potato, beans and corn crops the presence of convergence groups was tested, and it was diagnosed for cotton, potato and beans crops that β-convergence appear among the states with highest productivities. Finally, for the five crops which did not present β-convergence, the presence of β-conditional convergence was tested, using initial value of land productivity, hydric deficiency and human capital as explicative variables. Good econometric results were obtained for the cotton, potato and for beans. However, for corn and rice crops not satisfying results were obtained. From these results, the work suggests some policies that are able to improve land productivity convergence in the Brazilian agriculture, especially for rice and corn crops. This would allow a more homogenous modernity in the domestic agriculture.

nÃo hà / Observa-se que a qualidade de vida da populaÃÃo està diretamente relacionada com a renda, pois em uma economia de mercado, como à o caso de Fortaleza/CE, existem componentes essenciais para o bem-estar das famÃlias que dependem de sua capacidade de comprar produtos, tais como alimentos, vestuÃrio, etc. O presente estudo visa à determinaÃÃo de uma metodologia compatÃvel com a realidade local da cidade de Fortaleza/CE, para o levantamento de parÃmetros fÃsicos, a saber: taxa de geraÃÃo per capita, composiÃÃo gravimÃtrica e massa especÃfica aparente, de resÃduos sÃlidos com caracterÃsticas domiciliar e comercial. A anÃlise da qualidade e quantidade dos resÃduos gerados pelos domicÃlios e comÃrcios da cidade pautou-se na correlaÃÃo com os indicadores de renda. Esta pesquisa fornece dados prioritÃrios e de extrema importÃncia no planejamento e implementaÃÃo de planos e programas relativos ao gerenciamento ou prestaÃÃo dos serviÃos de resÃduos sÃlidos domiciliares e comerciais, podendo-se concluir que a geraÃÃo de resÃduos guarda uma relaÃÃo direta com os padrÃes de consumo de uma sociedade. Na pesquisa, foram obtidos os seguintes dados para Fortaleza: produÃÃo per capita mÃdia de resÃduos domiciliares: 0,74 kg/hab/dia; massa especÃfica aparente mÃdia: 218 kg/m3; cerca de metade dos resÃduos domiciliares à composta por matÃria orgÃnica compostÃvel (50,3 %). / It can be observed that life quality of the population is directly related to income since in market economies there are essential components for the well being of families which depend from families ability to purchase products such as food, clothing etc. The present study is concerned with the determination of a methodology compatible with the reality of Fortaleza/CE, for the gathering of physical parameters of commercial and household wastes such as: production per capita, waste composition expressed in % of total weight of sample; waste density. The analysis of quality and quantity of the household and commercial wastes generated in Fortaleza is correlated to income indicators. This research provides important data for the design and implementation of plans and programmes of waste management and for the provision of services of household and commercial solid wastes. It can be concluded that generation of waste is directly related to the consumption standards of a society. The research obtained the following data for Fortaleza: per capita production of household wastes: 0,74 kg/hab/day; mass density: 218 kg/m3; around half of the household wastes is organic matter subject to composting (50,3%).

<p>The economic development and industrialization that has taken place in many parts of the world during the past century has brought about a huge increase in economic welfare. During this process, it has repeatedly been debated whether the gains from economic development are shared by everyone or just a few. In the field of economics, vast research has been conducted on this particular subject ever since the 1950’s. The most famous contribution might be said to be Simon Kuznets article, Growth and Income Inequality from 1955 and the ”inverted U”-hypothesis that was formulated on the basis of that article. The essence of the hypothesis is that a country, during its development, moves from agricultural to industrial production. At first, income inequality increases and then, at the end of the process, decreases.</p><p>The aim of this paper has been to investigate the relationship between income distribution and economic development in a particular region, namely the countries of the former Soviet Union, during 1992-2003. Also, we have tested whether Kuznets theory and the “inverted U”-hypothesis hold true for our sample. The investigations method is a survey, which uses secondary data collected from the World Bank’s database of World Development Indicators. Regression-analysis has been employed to conduct cross-sections between 20 countries over 4 periods in Eastern Europe and Central Asia. The number of observations equals to 62. The variables that we use are: the Gini index, GDP per capita and the agricultural sector’s share of GDP.</p><p>The results of the regression do not indicate any resemblance to the pattern of the “inverted U”-hypothesis. The curve we get is that of a “positive U”. Countries with high GDP per capita as well as countries with low GDP per capita have high income inequality. Countries with mediate GDP per capita levels have low income inequality. Our analysis concludes that the countries in our sample might have had a very unique economic development following the fall of the Soviet Union. Only 7 countries partly follow the Kuznets theory if tested individually. Since these seven countries seem to have a reversed development with increasing agricultural sector and the remainder of the countries show increasing income inequality, we reject the “inverted U”-hypothesis and question the ability of Kuznets’ theory to explain income distribution for our sample.</p>

The economic development and industrialization that has taken place in many parts of the world during the past century has brought about a huge increase in economic welfare. During this process, it has repeatedly been debated whether the gains from economic development are shared by everyone or just a few. In the field of economics, vast research has been conducted on this particular subject ever since the 1950’s. The most famous contribution might be said to be Simon Kuznets article, Growth and Income Inequality from 1955 and the ”inverted U”-hypothesis that was formulated on the basis of that article. The essence of the hypothesis is that a country, during its development, moves from agricultural to industrial production. At first, income inequality increases and then, at the end of the process, decreases. The aim of this paper has been to investigate the relationship between income distribution and economic development in a particular region, namely the countries of the former Soviet Union, during 1992-2003. Also, we have tested whether Kuznets theory and the “inverted U”-hypothesis hold true for our sample. The investigations method is a survey, which uses secondary data collected from the World Bank’s database of World Development Indicators. Regression-analysis has been employed to conduct cross-sections between 20 countries over 4 periods in Eastern Europe and Central Asia. The number of observations equals to 62. The variables that we use are: the Gini index, GDP per capita and the agricultural sector’s share of GDP. The results of the regression do not indicate any resemblance to the pattern of the “inverted U”-hypothesis. The curve we get is that of a “positive U”. Countries with high GDP per capita as well as countries with low GDP per capita have high income inequality. Countries with mediate GDP per capita levels have low income inequality. Our analysis concludes that the countries in our sample might have had a very unique economic development following the fall of the Soviet Union. Only 7 countries partly follow the Kuznets theory if tested individually. Since these seven countries seem to have a reversed development with increasing agricultural sector and the remainder of the countries show increasing income inequality, we reject the “inverted U”-hypothesis and question the ability of Kuznets’ theory to explain income distribution for our sample.

The theory of economic growth predicts that poorer regions will eventually converge towards the income level of the wealthier regions (Barro &amp; Sala-i-Martin, 2004). The aim of this Bachelor thesis is to establish if absolute convergence in Gross Regional Product (GRP) growth rates exists across LA-regions in Sweden during the period 1994-2004. The variables used in the model of absolute convergence are; the level of initial GRP per capita in the year 1994 and the growth rate of GRP per capita. The authors of this thesis find support of absolute convergence among Swedish LA-regions of 1.67 percent per year. Convergence estimations are also performed for high-, mid-, and low-performing groups of regions in respect to their income level per capita. The low-performing group of regions is in fact converging faster towards the income level of the wealthier regions in Sweden than the mid- and high-performing group. Alternative measurement of convergence is the so called sigma-convergence. The authors find that it only holds for the group of high-performing regions. However, this measurement cannot be considered reliable, as the existence of absolute convergence is necessary for sigma-convergence, but it is not sufficient. / Ekonomisk tillväxtteori förutspår att fattigare regioner med tiden kommer att konvergera mot samma inkomst nivå som rikare regioner har (Barro &amp; Sala-i-Martin, 2004). Syftet med denna Kandidatuppsats är undersöka ifall det förekommer betingad konvergenstillväxt av Brutto Regional Produkt (BRP) nivåer mellan svenska LA-regioner under perioden 1994-2004. Variablerna som används i modellen för betingad konvergens är den ursprungliga nivån av BRP per capita under år 1994, och tillväxtnivån av BRP per capita under perioden 1994-2004. Författarna av denna uppsats har funnit stöd för betingad konvergens bland svenska LA-regioner med en konvergenstakt på 1,67 procent per år. En estimering av konvergens är därtill utförd för hög-, mellan- och lågpresterande grupper av regioner med respekt till deras inkomstnivå per capita. Den lågpresterande gruppen har en snabbare konvergeringstakt mot den inkomstnivå de rikare regionerna i Sverige har, än vad de mellan- och högpresterande grupperna. Ett alternativt mått på konvergens är den så kallade sigma-konvergensen. Författarna finner att detta mått endast håller för gruppen av högpresterande regioner. Emellertid kan inte detta mått räknas som tillförlitligt, då förekomsten av betingad konvergens är nödvändigt för sigma-konvergens, men det är inte tillräckligt.