Dissertations / Theses on the topic 'Income-elasticity of demand'

Thesis (MBA)--University of Stellenbosch, 2009.
ENGLISH ABSTRACT: This paper examines the price and income elasticity of demand for fuel products in Malawi. The data have been disaggregated into various sectors, agriculture, industry, construction, commercial transport, private motor vehicles and household, in order to fully understand the nature and magnitude of elasticity for each sector. Two methods were used - the simple economic method and the correlation coefficient method. This research covers a period of 10 years from 1995 to 2004. This period has been chosen in order to arrive at meaningful conclusions. The results show that each sector responds to price and income changes differently. The agricultural sector has been found to be inelastic to both price and income both in the short and long term. This sector, however, is sensitive to other factors like drought and currency depreciation. The industrial sector has been found to be very sensitive to both price and income changes both in the short and long term. The same trend has also been established for the construction sector and the commercial transport sector. In the private motor vehicle sector, petrol-powered private motor vehicles have been found to be inelastic to price as well as income both in the short and long term. The reason for this is lack of affordable alternative forms of transport. Tests for diesel-powered vehicles show very elastic results. The demand data may have been distorted by the fact that diesel demand for other equipment than vehicles could not be identified and it has been assumed that diesel bought at filling stations or reseller points is used by vehicles. There is evidence that diesel is also used for maize mills and generators. The household sector has been seen to be very sensitive to price and income changes. The reason for this is availability of substitutes such as charcoal, firewood and other forms of biomass fuel that are extensively used in rural areas. Income sensitivity is purely due to the fact that people in rural areas earn low income. The conclusions for the household sector are that first the government should remove the paraffin subsidy as it is not achieving its intended results. Secondly, the government should establish basic wages and also offer better prices to the subsistence sector.
AFRIKAANSE OPSOMMING: Hierdie proefskrif ondersoek die elastisiteit van prys en inkomste in die aanvraag na brandtstofprodukte in Malawi. Om die aard en omvang van die elastisiteit in elke sektor ten volle te verstaan, is die data gedesegregeer in verskeie sektore, naamlik landbou, nywerheid, die boubedryf, handelsvervoer, privaat motorvoertuie en die huishoudelike sektor. Twee metodes is gebruik: die eenvoudige ekonomiese metode en die korrelasie-koeffisient-metode. Hierdie navorsing beslaan 'n tydperk van tien jaar vanaf 1995 tot 2004. Die tydperk is gekies om sodoende betekenisvolle gevolgtrekkings te kan maak. Die resultate dui aan dat die sektore verskillend op veranderings in prys en inkomste reageer. Daar is bevind dat die landbousektor glad nie elasties is nie wat betref prys sowel as inkomste, sowel op die kort- as langtermyn. Hierdie sektor is egter sensitief vir ander faktore soos droogte en die depresiasie van die geldeenheid. Daar is bevind dat die nywerheidsektor baie sensitief is vir prys-, sowel as inkomsteveranderings op die kort- en langtermyn. Dieselfde neiging is bevind vir die bousektor en die handelsvervoersektor. In die privaat motorsektor is bevind dat petrolaangedrewe motors nie elasties is nie wat betref prys sowel as inkomste op die kort- sowel as langtermyn. Die rede hiervoor is die gebrek aan bekostigbare alternatiewe vervoermiddels. Toetse vir dieselaangedrewe motorvoertuie dui uiters elastiese resultate aan. Die data wat betref aanvraag kon moontlik verkeerd voorgestel word as gevolg daarvan dat die dieselaanvraag vir ander toerusting as voertuig nie geidentifiseer word nie. Daar is veronderstel dat diesel wat by vulstasies en herverkooppunte gekoop is, vir voertuie gebruik is. Daar is bewyse dat diesel ook vir mieliemeule en kragopwekkers gebruik word.

This study investigated the demand patterns of poor households during a period of rising prices. Focus was on three main constructs namely the poor, rising prices and the demand patterns. The study was on Bophelong, a township in South Africa. This study was conducted from an empirical, quantitative approach which was preceded by a literature review. The main objective of conducting the literature review was to provide a theoretical framework for questionnaire design and empirical work. Cross sectional data was collected at Bophelong households. On completion of the survey, the poor were selected from the non-poor by means of a poverty line. The poor were further divided into two categories, namely moderately poor and the very poor. Moderately poor households were categorised by an income ranging 50% to 99% inclusively of their household poverty line. The very poor households were categorised by an income in the range of 0 to 49% inclusively of their poverty line. Using the above division, the total poverty rate was 56% of the total sample, 26% being moderately poor and 30% very poor. The poverty gap ratio for all the poor in the sample was 0.48, meaning that on average, the poor needed 48% of their current income to reach their poverty line. This ratio was 0.29 for the moderately poor households and 0.69 for the very poor households. A logistic regression done on the determinants of poverty in Bophelong showed that household size, age of the household head, monthly household income and the employment status of the household head were significant in determining poverty. The monthly average household income in Bophelong was R2 910. For the moderately poor households it was R1 641 for the and R932 for the very poor households. Household size was 3.96 for the whole sample size, 2.97 for the non-poor households, 4.2 for the moderately poor households and 4.7 for the very poor households. The study revealed that demand patterns of the poor differ from those of the non-poor. In addition the moderately poor households‟ demand patterns differ from the very poor An analysis of the poor‟s demand patterns during rising prices: the case of Bophelong household. The greatest part of income of the poor is spent on basic food stuffs. The very poor spent more than half of their income (53%) on food. The study indicated that bread is a giffen good only to the very poor households where quantity demanded moves in the same direction with price. In the non-poor households, bread is regarded inferior. A commodity can be overly a necessity, but the degree of necessity differs with a households‟ economic status. In some cases, a commodity was a necessity in the very poor households but a luxury in the non-poor. The way households substitute one good for another depends on their income levels. In conclusion, the study recommends that for poverty alleviation policies to effectively target the very poor in reducing malnutrition and hunger, these very poor should be studied separetely from the poor households. This is because households of different poverty levels face different challenges. A more detailed and deeper study relating to the demand structure of the poor is recommended. There is also a need to explore the survival means of the poor as to direct policy actions aimed at alleviating poverty among the poor in general.
Thesis (PhD (Economics))--North-West University, Vaal Triangle Campus, 2013

The Indian urban rental market is complex and yet ever-changing, with the ups and downs of housing demand playing a fundamental role in the affordability and stability of the market. This paper determines the income and price elasticities of demand using the demand function and Slutsky equation, respectively, for the urban rental market in order to help craft suitable national housing policy. Through this analysis, it is determined that the urban rental price elasticity of demand is -0.93 and the income elasticity is 0.81, suggesting that rental price subsidies and private income taxes are the most effective policy measures to ensure affordability in urban India.

This licentiate thesis examines the development of the life insurance industry during the period 1855-1914. The aim with the study is to recognise dimensions not frequently addressed by previous research on the insurance industry, namely the impact of social dimensions, including the implicit and explicit economic importance of social movements and the diffusion of knowledge in society at large for the development of the life insurance industry. The study shows that income and price had limited importance in explaining the demand for life insurance before the 20th century and that this can be attributed to a lack of sufficient knowledge regarding financial issues and to a far too high access cost in acquiring a life insurance for a large part of society. The development of the life insurance industry must therefore be understood through improved knowledge both on the part of the life insurance companies and on part of the consumers. The licentiate further shows how diffusion of knowledge throughout society also was due to a diffusion of democratic ideas and the rise of social movements, movements that life insurance actors were a part of. These actions helped open up the financial market for the masses and probably also strengthened the trust towards the industry. It is however hard to dismiss the life insurance actors’ engagement in women’s movement as a cover-up for other disguised motives not so honourable, while a direct economic gain for the life insurance industry is hard to establish.

Objetivo. Analisar a influência da renda e dos preços dos alimentos sobre a participação de frutas, legumes e verduras no consumo alimentar das famílias residentes no município de São Paulo. Métodos. A Pesquisa de Orçamentos Familiares (POF) da Fundação Instituto de Pesquisas Econômicas (FIPE), realizada entre 1998/1999 no município de São Paulo, serviu de base para este estudo. O padrão alimentar das famílias foi descrito a partir da participação relativa de 18 grupos de alimentos no total mensal de calorias adquirido pela família para consumo no domicilio. A influência da renda familiar e do preço dos alimentos sobre a participação de frutas, legumes e verduras (FLV) no padrão alimentar foi estudada empregando-se técnicas de análise de regressão múltipla (modelo log-log) para estimação de coeficientes de elasticidade-preço e elasticidade-renda. Resultados. Identificou-se efeito estatísticamente significante da renda familiar (efeito positivo), do preço das próprias frutas, legumes e verduras (efeito negativo) e do preço do conjunto dos demais alimentos (efeito positivo). A comparação da magnitude desses efeitos, feita pela comparação dos coeficientes de elasticidade, indica maior efeito do preço das frutas, legumes e verduras (1% de aumento no preço das FLV reduziria em 0,2% a participação desses alimentos no total calórico), efeito intermediário do preço dos demais alimentos (1% de aumento aumentaria em 0,07% a participação de FLV no total calórico) e efeito menor da renda familiar (1% de aumento na renda familiar aumentaria em 0,04% a participação de FLV no total calórico). O efeito da renda familiar e do preço das frutas, legumes e verduras sobre o consumo relativo desses alimentos foi semelhante nos vários estratos de renda enquanto o efeito dos preços dos demais alimentos tendeu a diminuir nos estratos de maior renda. Conclusão. Políticas públicas que levassem à redução do preço de frutas, legumes e verduras seriam as mais recomendadas para aumentar o consumo desses alimentos no município de São Paulo e em realidades urbanas semelhantes.
Objective. Analyze the influence of income and food prices on fruits and vegetables share of household food consumption in São Paulo city. Methods. The data obtained through Family Budget Survey (POF) from Fundacao Instituto de Pesquisas Economicas (FIPE), concerning the population of the city of Sao Paulo during the period of 1998 and 1999, was the base in this study. The household nutritional patterns were described by means of the relative participation of 18 food groups in total calories monthly acquired for home consumption. Income and food prices? influence on fruits and vegetables share was assessed through the use of multiple regression analysis techniques (Log-Log model) in order to estimate income elasticity and price elasticity coefficients. Results. Statistically significant effects of income (positive effect), fruits and vegetables prices (negative effect) and other foods prices (positive effect) were identified. Magnitude comparison among the effects observed, through comparison of elasticity coefficients, indicates a major effect from fruits and vegetables price (1% increase in prices results in a 0.2% reduction in the share of fruits and vegetables), an intermediate effect from other foods prices (1% increase in prices results in a 0.07% increase in the share of fruits and vegetables) and a smaller effect from income (1% raise in household income would achieve a 0.04% increase in the share of fruits and vegetables). The effect of household income and F&V price was similar in different income classes, while the effect of other food prices declined in higher income classes Conclusion. Public policies for reducing fruit and vegetables? prices should be the most recommended line of action in order to obtain an increase in fruit and vegetables? consumption in Sao Paulo city or any other similar urban centers.

Le monde est actuellement confronté à une transition du marché de l'énergie qui est influencée notamment par la dynamique de la croissance économique globale, les négociations relatives aux changements climatiques et des prix de plus en plus volatils. Cette évolution rapide des réglementations et de la macro-économie transformera les conditions de la demande d'énergie, obligeant les gouvernements à acquérir un ensemble croissant d'outils quantitatifs pour mieux évaluer les résultats de leurs politiques fiscales. Cette thèse aborde cette problématique en analysant, par une approche basée sur les élasticités, les différentes facettes de la demande d'énergie dans le but d'achever une consommation énergétique durable. Cette approche est complémentée par l'analyse par grappes, la décomposition structurelle ainsi que par diverses outils économétriques appliques conjointement à l'échelle mondiale et nationale. Une attention particulière est faite sur la modélisation de la demande des marchés subsidiés notamment des pays du Conseil de Coopération du Golfe Arabique
The world is currently witnessing a transition in the energy scene that is significantly characterized by global economic growth dynamics, climate change negotiations and volatile energy prices. Rapidly evolving regulatory and macro-economic environments heavily impact on the demand-side of energy, forcing governments to acquire an ever-increasing set of quantitative tools to better assess the results of their taxation policies.This thesis addresses some of these issues by analyzing various facets of energy demand in order to generate sensible demand and price elasticities with real-life applications in sustainable energy management. For that purpose, a combination of cluster, decomposition and multiple econometric analysis is undertaken at global, regional and country-specific levels for households complemented by a policy analysis. A special focus is made on modeling consumer demand behavior for resource-rich economies of the Gulf Cooperation Countries, and the potential impact of removing residential electricity subsidies on the net societal welfare of Saudi Arabia

A laboratory economy was created to test the influence of both market power and low income elasticity of demand on the terms of trade. The Prebisch-Singer "Theory of Unequal Exchange" predicts that terms of trade worsen for developing countries, due to low income elasticity of demand for their primary product exports. A model is presented to show that, ceteris paribus, the terms of trade improve with population growth and differential technological progress. The effect of market power on the terms of trade was analyzed by comparing a 'competitive' market, a primary commodity cartel, and an industrial monopoly. The competitive (price taker) model predicts declining prices in both markets and worsening terms of trade as production grows. The cartel model predicts higher prices of the primary product, which increase as income grows, lower prices of the manufactured product, and better and improving terms of trade. The monopoly model predicts lower prices for primary commodities, higher and increasing prices in the market for manufactured products, and lower and worsening terms of trade. Experimental results. Trading occurred in a multiple-unit double auction. Prices usually converge from above in both markets. Only sellers succeed in exploiting their market power, buyers fail to do so. In the competitive design, prices in both markets generally converge to the competitive equilibrium. The terms of trade worsen in all experiments as income grows (caused by the low income elasticity of demand), confirming the prediction of the Prebisch-Singer model. The commodity cartels increase primary export prices, but cannot stop the decline of prices when income increases. They cannot decrease prices of the manufactured product. Terms of trade for the cartels are usually better and do not always worsen. Earnings of industrialized countries facing the cartel are lower than competitive, but earnings of the cartel members are not significantly higher. The single industrial country fails to lower prices for primary products, but can charge higher prices for manufactured products. Terms of trade usually improve as income grows, contradicting both the competitive and the cartel model. When the monopoly faces a cartel, a substantial deadweight loss occurs.

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A questão central que buscou-se responder no presente estudo foi: qual o impacto dos veículos flex-fuel sobre a demanda por gasolina no Brasil? Para tentar responder esta questão foi estimada a função demanda por gasolina no Brasil e suas elasticidades-preço e renda, para o período de agosto de 1994 a julho de 2006 (era pós-Plano Real), utilizando-se técnicas de cointegração para avaliar a existência de uma relação de equilíbrio de longo prazo entre variáveis do modelo. Com a renovação da frota automotiva, centrada cada vez mais nos veículos flex-fuel, cuja participação nas vendas nacionais de veículos novos deve ultrapassar os 70% em 2006, surge a preocupação de que o deslocamento do consumo de gasolina pelo álcool hidratado leve a excedentes crescentes de gasolina no Brasil. Os resultados obtidos neste estudo indicam que a demanda por gasolina no Brasil é inelástica no longo prazo, tanto em relação a variações nos preços deste combustível, quanto a alterações na renda dos consumidores. Os valores estimados para as elasticidades-preço e renda de longo prazo foram de -0,197 e 0,685, respectivamente. Também foi estimado o coeficiente de uma variável binária de inclinação associada ao preço da gasolina, incluída no modelo com o objetivo de capturar os impactos da entrada do flex-fuel sobre a curva de demanda por gasolina a partir de março de 2003. Esta variável binária de inclinação apresentou-se com um coeficiente de aproximadamente -0,137. Isto significa que a partir de março de 2003 há uma significativa mudança na elasticidade-preço da demanda por gasolina, que se torna mais elástica, saindo de -0,197 para -0,334. Este resultado indica que o mercado nacional de combustíveis de ciclo Otto pode estar passando por mudanças estruturais, para as quais a entrada dos veículos flex-fuel é a causa mais provável e que o álcool hidratado tem se tornado um substituto menos imperfeito da gasolina.
The central question that this study seeks to answer is: What is the impact of flex-fuel vehicles on the demand for gasoline in Brazil? To attempt to answer this question, the function demand for gasoline in Brazil was estimated, as were the price and income elasticities, for the period August 1994 through July 2006 (post Plano Real era), using cointegration techniques to evaluate the existence of a long-term balance relationship between the model’s variables. With the renewal of the automotive fleet increasingly centered on flex-fuel vehicles, whose market share in the domestic sales of new vehicles should be over 70% in 2006, there is some concern that the shift from consumption of gasoline to hydrated alcohol may lead to a growing excess of gasoline in Brazil. The results obtained in this study indicate that the demand for gasoline in Brazil is inelastic in the long term, in relation both to the price variations of this fuel and to the alterations in consumer income. The amounts estimated for the price and long-term income elasticities were –0.197 and 0.685, respectively. An estimate was made of the coefficient of a dummy inclination variable, associated with the price of gasoline and included in the model to capture the impact flex-fuel has on the gasoline demand curve, starting in March 2003. This dummy inclination variable had a coefficient of approximately –0.137, meaning that, as of March 2003, there is a significant change in the price elasticity of the demand for gasoline, which becomes more elastic, going from –0.197 to –0.334. This result indicates that the Otto cycle’s national fuel market might be facing structural changes in which the launching of flexfuel vehicles is the most likely cause and that hydrated alcohol has become a less imperfect substitute for gasoline.

Este trabalho tem como objetivo estimar a elasticidade renda e preço da demanda por gás natural no Brasil para o setor industrial brasileiro. O segmento de consumo industrial representa cerca de dois terços do consumo de gás natural no país, destacando sua importância estratégica na elaboração de política energética relacionada ao gás. Este trabalho apresenta também o incremento nas trocas internacionais de gás natural e a perspectiva de aumento do uso desse energético no Brasil e no mundo. Alguns desafios ainda se colocam para a efetiva globalização dessa indústria, como: a necessidade de realização de investimentos em infraestrutura de produção, transporte e distribuição; o aprimoramento do acesso às principais reservas do hidrocarboneto; e as incertezas com relação à evolução da demanda. Utiliza-se o estudo estatístico econométrico para estimar as elasticidades preço e renda, ou seja, para investigar como a demanda industrial brasileira reage frente a um aumento ou diminuição de preço do gás e das variações na renda disponíveis no Brasil. Como proxy da renda industrial utilizam-se os dados do PIB industrial brasileiro. Após identificar que as séries estudadas eram não estacionárias, optou-se pela utilização do conceito de cointegração. Os resultados obtidos por meio do referido modelo mostraram que a demanda estudada é muito mais sensível a variações do preço do gás natural do que a variações na renda. Desse modo, constatou-se que, no Brasil, preços mais competitivos obtêm melhores resultados para o crescimento da demanda por gás natural do que aumentos da renda.
The purpose of the present study is to estimate the elasticity, mainly in terms of price and income, of the demand for gas natural in the Brazilian industrial sector. The industry represents around two-thirds of the natural gas consumption in the country, highlighting strategic importance in creating energy policy related to natural gas. This paper also presents the evolution in international trade of natural gas and the perspectives of increased in the use of this energy source in Brazil and worldwide. Some challenges still lay ahead for effective intensification of the gas industry in the country, such as: the increase of investments in infrastructure for production, transport and distribution; the development to the access to major hydrocarbon reserves; the improvements to deal with uncertainties regarding the evolution of demand. Econometric tools are used to estimate price and income elasticity for the Brazilian industrial sector, in other words, to investigate how the natural gas demand reacts to an increase / decrease in the price of gas and in the available income. The industrial GDP is used as a proxy for income. After determining that the series under study were non-stationary, the co-integration approach was chosen and Vector Error Correction Model (VEC Model) was applied. The obtained results show that the price elasticity in the industrial sector in Brazil is significantly higher than income elasticity.

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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
O presente estudo tem como objetivo obter estimativas de elasticidades-preço, renda e relativas a outras variáveis para a demanda domiciliar de eletricidade segundo 20 grupos da população brasileira em 2008/2009. Os grupos são definidos segundo classes socioeconômicas e regiões macroeconômicas. Tal objetivo é motivado pelo fato de haver poucos estudos na literatura para a demanda domiciliar de eletricidade usando microdados de forma tão pouco desagregada. Para tanto, são usados microdados domiciliares da POF de 2008/2009 do IBGE. A POF 2002/2003 também é usada com o objetivo de comparação entre os dados na análise descritiva, mas não de estimação. Sendo a POF uma amostra de dados complexos, para obter resultados coerentes, considera-se o plano amostral nas estimações e também os pesos de expansão, o que leva ao uso de mínimos quadrados ponderados. Os resultados sugerem que as regiões mais sensíveis ao aumento do preço da energia são Centro-Oeste e Sul e as menos sensíveis Norte e Nordeste, ou seja, o consumo para essas últimas regiões pouco se alterariam com o aumento do preço. Já um aumento na renda domiciliar, as regiões Norte, Nordeste e Sudeste aumentariam mais o consumo de energia elétrica do que as regiões Centro-Oeste e Sul.
This study develops estimates of price and income elasticities, and with regard to other variables, for household electricity demand across 20 groups of the Brazilian population in 2008/2009. The groups are set according to socioeconomic classes and macroeconomic regions. The motivation is the fact that there are few studies in the literature for household electricity demand using microdata so as little broken. Thus, we used household microdata from IBGE’s survey of family budgets POF 2008/2009. The POF 2002/2003 are also used for comparison purposes within the descriptive data analysis, but are not used for estimation. As the POF a complex data survey, in order to obtain consistent results the sampling plan is considered in the estimates including the expansion weights, which led to the use of weighted least squares. The results suggest that regions which are most sensitive to rising energy prices are the Midwest and South, while the North and Northeast are less sensitive, ie the consumption for the latter regions would change little with the price increase. Yet an increase in household income, the North, Northeast and Southeast further increase the power consumption than the Midwest and South.

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It is becoming more and more recognizable that different family budget categories dispute the limited resources of a family. This suggests a broader and more systemic competition view, once consumer spending on a determined sector may be better understood if related to other sectors. Thus, it is reasonable to concentrate studies in the manifestation of the buyer behavior, expressed by the family budget, whereas priority/vital-based decisions are established according to how the consumers distribute their resources in great categories of expenses (food, housing, transportation, clothing, leisure etc). In this context, the main objective of this research is outlined, which is to investigate the phenomenon of the allocation of such expenses that compose the family budget, identifying patterns, market segmentation and its implication in Marketing. The theoretical referential is divided in three great parts: market segmentation, family budget, and the economic and socio-demographic factors that relate to the family budget. Maslow’s Classic Hierarchy of Needs is approached, along with themes from economics literature such as Engel’s Law and Income-elasticity of Demand. Using data collected from a sample of families in the State of São Paulo and applying Cluster Analysis, this study aims to bring a perspective that is more influenced by the paradigms of the market knowledge by identifying and characterizing market segments with distinctive patterns of family budget. A taxonomy based on six patterns was formed, which are: survival, ill, economic, domestic, well being and automobile. Each pattern analysis enhances economic and socio-demographic similarities and differences that demand the attention of researchers and marketing strategists concerning the generalization problems, which may result in mistakes in market segmentation strategies. Discussions concerning the Maslow’s Theory and Engel’s law are made. Furthermore, taxonomy of family expenses classified by the income-elasticity among the six identified family budget patterns is proposed. This taxonomy helps clarify changes in consuming behavior according to the impact in income alterations in the composition of the family budget. Finally, results reinforce the thesis that patterns in family expenses allocation present an innovative and useful dimension for studies in market segmentation.
Cada vez mais se reconhece que as diferentes categorias do orçamento familiar disputam recursos limitados de uma família. Isto sugere uma visão mais ampla e sistêmica de concorrência, já que os gastos dos consumidores em um determinado setor poderão ser melhor compreendidos se relacionados com os de outros setores. Faz sentido, então, concentrar estudos na própria manifestação do comportamento de compra, expressa pelo orçamento familiar, visto que as decisões mais prioritárias (vitais) estão estabelecidas na forma como o consumidor distribui seus recursos nas grandes categorias de despesa (alimentação, habitação, transporte, vestuário, lazer etc). Neste contexto delineia-se o principal objetivo desta tese que é investigar o fenômeno da alocação de despesas que compõem o orçamento familiar, identificando padrões, segmentos de mercado e suas implicações para o Marketing. O referencial teórico divide-se em três grandes partes: a segmentação de mercado, o orçamento familiar e os fatores econômicos e sócio-demográficos que se relacionam com o orçamento familiar. A clássica Hierarquia das Necessidades de Maslow é abordada, além de temas oriundos da literatura de economia como as Leis de Engel e elasticidade-renda da demanda. Utilizando dados de uma amostra de famílias do estado de São Paulo e valendo-se da técnica de análise de agrupamentos, a tese busca trazer um olhar mais influenciado pelos paradigmas do conhecimento mercadológico por meio da identificação e caracterização de segmentos de mercado com padrões distintos de orçamento familiar. Foi construída uma taxonomia composta por seis padrões assim nomeados: sobrevivência, enfermo, econômico, caseiro, bem-estar e automotor. A análise do perfil de cada padrão ressalta semelhanças e diferenças econômicas e sócio-demográficas que exigem a atenção dos pesquisadores e estrategistas de marketing quanto aos problemas de generalização, podendo resultar em erros nas estratégias de segmentação de mercado. Discussões dos resultados são tecidas a respeito da Teoria de Maslow e das Leis de Engel. Além disso, é proposta uma taxonomia de despesas familiares classificadas pelas elasticidades-renda entre os seis padrões de orçamento familiar identificados. Esta taxonomia ajuda a clarear as mudanças no comportamento de consumo segundo o impacto das alterações de renda na composição do orçamento familiar. Por fim, os resultados reforçam a tese de que padrões de alocação das despesas familiares se apresentam como uma dimensão inovadora e útil para os estudos de segmentação de mercado.

碩士
國立高雄大學
金融管理學系碩士班
101
Since 1970s, Taiwan’s rapidly growth of economic had raised people’s income. With the income increased and the limitation of Taiwan’s land source, the housing price began raised. As the raised of housing price, housing became from a necessity to an investment good. To figure out how the change of the housing character would impact on housing market, we calculate the elasticity of Demand for Housing. Our research use the survey data of new house buyer in「Housing Demand Survey of the Second Quarter 2011」which the government calculate. According to the survey data, we separate data into consumption demand data and investment demand data. Then we use the Hedonic Price Function and log-linear model to calculate the price, income and interest rate elasticity of all samples. The empirical evidence shows that the house is a normal good further a necessity and the interest rates indeed as the major cost of housing considerations. To the consumption demand housing buyer, their own income and the house price will effects their housing decision. But to the investment demand housing buyer, their housing decision only effect by their own income. Finally, as we can find in the consequence of quantile regressions, the consumption demand buyers consider different options from investment demand buyers when buying the different square meters house.

碩士
國立成功大學
企業管理學系專班
97
This research focused on the price and quantity of small size LCD panel applied on mobile phone and discussed the statistic of different technology categories (including the relationship between price and quantity of mobile phone panel). The research used the LCD panel price and quantity data applied on mobile phone from Jan. 2003 to Dec. 2008. After defining the variables, we used 24 sets of seasonal data based on the time period to do the regression. The outcome of the research shows the market share of TFT-LCD reached 64.78% in 2008/Q4. The market share of other technology categories didn't increase obviously in the same period. About the price analysis, the price range of LTPS TFT-LCD was the largest compared with other technology categories. The category of LTPS TFT-LCD had the highest average price and second high price standard deviation. It was shown that LTPS TFT-LCD had lower technology maturity than other technology categories, and the supply and demand of LTPS TFT-LCD changed drastically in short time period. Besides, the result of regression model shown the mobile phone panel price elasticity of demand was 1.170 and fell on elastic range. The mobile phone panel was high sensitive when the demand quantity of changed larger than the price. The result shown that we could increase the quantity of demand obviously when we reduce the price of mobile phone panel. If we could reduce the total cost of the panel, it may have the same profit when we reduce the price to increase the quantity of demand. Otherwise, the coefficient of variable "GNI(us)t" was 0.274. Based on the log-form regression model, the income elasticity of demand was 0.274 and fell on the range of "Necessities".

Tese de Doutoramento, Ciências Económicas e Empresariais, especialidade em Teoria Económica Geral, 3 de Junho de 2016, Universidade dos Açores.
A gasolina é um dos produtos derivados do petróleo mais importantes a nível Mundial. Tal importância deriva do peso das importações de gasolina em inúmeros países sendo o seu preço ao longo do tempo um dos determinantes diretos do custo de vida das populações, déficit da balança de pagamentos, déficit fiscal e crescimento económico dos mesmos. Várias abordagens foram utilizadas para estudar a procura de produtos derivados de petróleo a nível Mundial ao longo dos tempos. No presente trabalho estimou-se para o período de 1990-2030 as elasticidades procura-preço e procura-rendimento de curto e longo prazo associadas ao consumo de gasolina em Portugal por distritos de acordo com diversos modelos estáticos e dinâmicos tais como os modelos LOG-LOG, LIN-LOG, LOG-LIN, LINLIN e técnicas de estimação econométrica como o GMM, método dos momentos generalizados. O modelo que originou menores desvios de estimação foi o LEM LOG-LOG, lagged endogenous model. O GMM produz estimativas das elasticidades mais reduzidas face aos modelos LEM LOG-LOG e LEM LIN-LOG. Os modelos estáticos LIN-LIN, LOG-LIN não teem validade econométrica na medida em que o PIB, produto interno bruto, não tem significância estatística o que contraria Kalyouncu et al. (2010), Dahl e Sterner (1991). Os modelos dinâmicos LEM LOG-LOG, LEM LIN-LOG, LEM GMM LOG-LOG, LEM GMM LINLOG têm significância estatística e racionalidade económica. O presente trabalho tem uma preocupação integrativa territorial de proporcionar informação econométrica dos modelos dinâmicos validados de forma direta e intuitiva por distritos das elasticidades procura-preço e procura-rendimento da gasolina aos agentes públicos e privados numa escala microeconómica de apoio aos seus processos de decisão, de validade econométrica sustentada em trabalhos de meta-análise como Dahl e Sterner (1991), Espey (1998), Brons et al. (2006) e Dahl (2012). Pela agregação de áreas geográficas definidas na categorização NUTS II* bem como entre litoral e fronteira na vertente Norte, Centro e Sul de Portugal no sentido de uma abordagem ao fuel tourism conforme Banfi et al. (2005) obteve-se elasticidades procura-preço e procura rendimento válidas de acordo com os autores expostos acima revelando que a procura de gasolina é um bem normal de procura rígida nos distritos portugueses.
ABSTRACT: Gasoline is one of the most important products derived from oil worldwide. Such importance derives from the weight of imports of gasoline in many countries and its price over time one of the direct determinants of the cost of living, deficit of balance of payments, fiscal deficit and economic growth of the same. Various approaches were used to study the demand for petroleum products at a worldwide level over time. In the present work it was estimated for the period 1990-2030 the demand price elasticity and income-elasticity both in short and long term associated with gasoline consumption in Portugal by districts according to several static and dynamic models such as LOG-LOG, LIN-LOG, LOG-LIN, LIN-LIN and econometric estimation techniques such as GMM, generalized method of moments. The model wich originated smaller estimation deviations was the LEM LOG-LOG, lagged endogenous model. The GMM produces the lowest estimates of elasticities compared to models LEM LEM LOG-LOG and LIN-LOG. The static models LIN-LIN, LOG-LIN don´t have econometric validity cause GDP, gross domestic product, has no statistical significance which contradicts Kalyouncu et al. (2010) Dahl and Sterner (1991). Dynamic models LEM LOG-LOG, LEM LIN-LOG, LEM GMM LOG-LOG, LEM GMM LIN-LOG have statistical significance and economic rationality. This work has a territorial integrative concern to provide econometric information from validated dynamic models directly and intuitively by districts price and income elasticities of gasoline demand to public and private actors in a micro scale to support their decisionmaking processes, sustained in econometric validity of meta-analyzes works such as Dahl and Sterner (1991), Espey (1998) Brons et al. (2006) for the dynamic models and Dahl (2012) for a comparison with the different static models. By aggregating geographical areas defined in the categorization NUTS II* and coast and border on the north, center and south of Portugal towards an approach to fuel tourism as Banfi et al. (2005) it was obtained valid price and income elasticities according to the above authors wich reveals that demand for gasoline is a normal good with rigid demand in the Portuguese districts.

Dissertação de Mestrado em Ciências Empresariais.
A gasolina é um dos produtos derivados do petróleo mais importantes a nível Mundial. Tal importância deriva do peso das importações de gasolina em inúmeros países, sendo um dos determinantes do deficit da balança de pagamentos dos mesmos, deficit fiscal e crescimento económico dos mesmos. Várias abordagens foram utilizadas para estudar a procura de produtos derivados de petróleo a nível Mundial ao longo dos tempos. Propõe-se no presente trabalho estimar para o período de 1960-2008 as elasticidades procura-preço e procura-rendimento de curto e longo prazo associadas ao consumo de gasolina em Portugal de acordo com diversos modelos e técnicas de estimação econométrica como o modelo log-log, lin-log, log-lin, lin-lin e ARIMA respectivamente.
ABSTRACT: Gasoline is one of the most important derived oil products. Such importance is due to the share of gasoline imports in the balance of payments in many countries, being one of the major balance of payments deficit determinants, tax deficit and economic growth worldwide of those same countries. During times a vast range of approaches were used to study gasoline demand worldwide. The proposal of the present work is to estimate for the period of 1960-2008 the gasoline demand elasticity’s related to price and income for Portugal both in the short and in the long run applying many econometric models and techniques of estimation such as log-log, lin-log, log-lin, lin-lin and ARIMA respectively.

If policymakers address water scarcity with the demand-oriented approach, the income elasticity of water demand is of pivotal importance. Its estimates, however, differ considerably. We collect 307 estimates of the income elasticity of water demand reported in 62 studies, codify 31 variables describing the estimation design, and employ Bayesian model averaging to address model uncertainty inherent to any meta-analysis. The studies were published between 1972 and 2015, which means that this meta-analysis covers a longer period of time than two previous meta-analyses on this topic combined. Our results suggest that income elasticity estimates for developed countries do not significantly differ from income elasticity estimates for developing countries and that different estimation techniques do not systematically produce different values of the income elasticity of water demand. We find evidence of publication selection bias in the literature on the income elasticity of water demand with the use of both graphical and regression analysis. We correct the estimates for publication selection bias and estimate the true effect beyond bias, which reaches approximately 0.2. 1

JEL Classification: D01; D03; D11; D91
That demand patterns change with income something that can be inferred even in casual observation. Additionally, empirical research has underlined the nonlinearity of the relationship between income and demand described by Engel curves, with these nonlinearities appearing particularly robust for some expenditure categories. However, if demand-system estimation models have undergone significant development to be able to account for these patterns, theoretical explanations are still lagging. This work fills the gap by providing modeling structures aimed at explaining the nonlinearity of the relationship between income and demand. In the two chapters, insights are drawn from psychology to embed preferences within an ordered-needs framework. The first of them introduces a general class of ordered non-homothetic preferences grounded on need satiation which allows for ordered and varying demand-income elasticities. The second proposes to combine ordered needs with path dependence by letting preferences adjust according to differential satiation. These models’ ability to qualitatively reproduce nonlinear Engel curves suggest need satiation and ordered preferences might be important factors at play to explain this phenomenon
Que os padrões de consumo se alteram com o rendimento é algo manifesto. Ademais, a evidência empírica tem sublinhado a não-linearidade da relação entre rendimento e procura descrita pelas curvas de Engel, sendo estas não-linearidades particularmente robustas para algumas categorias de despesa. Contudo, se os modelos de estimação de sistemas de procura mostraram um forte desenvolvimento para serem capazes de detalhar estes padrões, a teoria tarda em explicá-los. Este trabalho cobre esta lacuna ao apresentar estruturas visando a explicação das relação não-linear entre rendimento e procura. Nos dois capítulos, teses da psicologia são utilizados para incorporar as relações de preferências numa estrutura de necessidades ordenadas. O primeiro introduz uma classe geral de preferências não-homotéticas ordenadas baseada na satisfação de necessidades que permite elasticidades-rendimento da procura ordenadas e variando com o rendimento. O segundo propõe juntar necessidades ordenadas com dependência temporal ao permitir que as preferências se alterem mediante a saciedade marginal. A capacidade destes modelos em reproduzir qualitativamente curvas de Engel não-lineares sugere que satisfação de necessidades e preferências ordenadas podem ser factores relevantes para explicar este fenómeno.

M.Ing.
Water demand prediction can be useful for future planning and has a significant economic effect on a city, town or suburb. There are numerous factors influencing water demand and therefore influencing the prediction thereof. The effect of each of these factors on the water demand is called the elasticity of that factor. The main aim of this study is to determine area and income elasticities of demand. This will enable the reader to predict water demand by taking stand size (area) and income into account. The stand value of each user was used as a surrogate for the income of that user. Another aim of this study is to compare average water demands for different cities and towns in Gauteng, South Africa with each other. Over 190 000 users' data were used for this study.