875 resultados para Bedouins, Druzes, Israeli Arabs and poverty


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Latest issue consulted: 1987.

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2 scans - 1of2=image itself, 2of2=reverse with post-it note

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Title cover.

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Examination of the relationship between ethnicity, poverty and place has tended to focus on the spatial distribution of minority ethnic groups. This summary paper reviews some key themes in this literature, in order to review the following key questions: •Where are different ethnic groups located, and how does this location relate to their experience of poverty? •Is clustering a good or bad thing, and what is the role of location – regardless of concentration – in terms of impacts on access to housing, employment, and other resources? However, it is notable that existing research in this area continues to present ethnicity as a factor that shapes outcomes only for minority ethnic groups. A wider discussion increasingly recognises the working of ethnicity in the lives of majority communities. Some of the most consistently impoverished areas in Britain, for example, are in regions with relatively small minority ethnic communities. For example, examinations of poverty in Cornwall (Cemlyn, et al., 2002) and Wales (Kenway and Palmer, 2007) identify longstanding concentrations of poverty and social exclusion among relatively static populations. Instead of assuming that ethnic identity influences propensity to poverty when concentrated in particular places, the experiences of Cornwall and Wales encourage us to consider the manner in which places of poverty also have an ethnic character and the impact of this in the wider experience of poverty. In what follows, and in order to reflect the existing literature, we review key points in the debate about the spatial concentration of minority ethnic groups and the impact of this concentration on experiences of poverty. Where possible, we seek to extend these ideas to consider possible implications for spaces of poverty characterised by concentrations of majority ethnic groups.

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We present a stochastic agent-based model for the distribution of personal incomes in a developing economy. We start with the assumption that incomes are determined both by individual labour and by stochastic effects of trading and investment. The income from personal effort alone is distributed about a mean, while the income from trade, which may be positive or negative, is proportional to the trader's income. These assumptions lead to a Langevin model with multiplicative noise, from which we derive a Fokker-Planck (FP) equation for the income probability density function (IPDF) and its variation in time. We find that high earners have a power law income distribution while the low-income groups have a Levy IPDF. Comparing our analysis with the Indian survey data (obtained from the world bank website: http://go.worldbank.org/SWGZB45DN0) taken over many years we obtain a near-perfect data collapse onto our model's equilibrium IPDF. Using survey data to relate the IPDF to actual food consumption we define a poverty index (Sen A. K., Econometrica., 44 (1976) 219; Kakwani N. C., Econometrica, 48 (1980) 437), which is consistent with traditional indices, but independent of an arbitrarily chosen "poverty line" and therefore less susceptible to manipulation. Copyright © EPLA, 2010.

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The purpose of this thesis was to examine how liberalization and the introduction of pro-poor policies can be successful in post-conflict countries using the Rwanda coffee market as a case study. My research supports the notion that economic development, political stability and peace can be a result of liberalization when policies that are pro-poor and focus on the largest sector of the population are created. The study examines why and how Rwanda chose to liberalize their economy in the way they did by focusing on the intentions of the actors and the effects their actions have had on the coffee market and country as a whole. The findings suggest that Rwanda’s coffee market liberalization has been successful and has contributed to stability and economic development in Rwanda. The conclusion indicates that pro-poor liberalization policies with the assistance from a variety of actors and institutions can lead developing countries on the path to development in ways the international community has not seen before.

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This thesis investigates the design of optimal tax systems in dynamic environments. The first essay characterizes the optimal tax system where wages depend on stochastic shocks and work experience. In addition to redistributive and efficiency motives, the taxation of inexperienced workers depends on a second-best requirement that encourages work experience, a social insurance motive and incentive effects. Calibrations using U.S. data yield higher expected optimal marginal income tax rates for experienced workers for most of the inexperienced workers. They confirm that the average marginal income tax rate increases (decreases) with age when shocks and work experience are substitutes (complements). Finally, more variability in experienced workers' earnings prospects leads to increasing tax rates since income taxation acts as a social insurance mechanism. In the second essay, the properties of an optimal tax system are investigated in a dynamic private information economy where labor market frictions create unemployment that destroys workers' human capital. A two-skill type model is considered where wages and employment are endogenous. I find that the optimal tax system distorts the first-period wages of all workers below their efficient levels which leads to more employment. The standard no-distortion-at-the-top result no longer holds due to the combination of private information and the destruction of human capital. I show this result analytically under the Maximin social welfare function and confirm it numerically for a general social welfare function. I also investigate the use of a training program and job creation subsidies. The final essay analyzes the optimal linear tax system when there is a population of individuals whose perceptions of savings are linked to their disposable income and their family background through family cultural transmission. Aside from the standard equity/efficiency trade-off, taxes account for the endogeneity of perceptions through two channels. First, taxing labor decreases income, which decreases the perception of savings through time. Second, taxation on savings corrects for the misperceptions of workers and thus savings and labor decisions. Numerical simulations confirm that behavioral issues push labor income taxes upward to finance saving subsidies. Government transfers to individuals are also decreased to finance those same subsidies.

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Jatropha-based biofuels have undergone a rapid boom-and-bust cycle in southern Africa. Despite strong initial support by governments, donors, and the private sector, there is a lack of empirical studies that compare the environmental and socioeconomic impacts of Jatropha’s two dominant modes of production: large plantations and smallholder-based projects. We apply a rapid ecosystem services assessment approach to understand the impact of two Jatropha projects that are still operational despite widespread project collapse across southern Africa: a smallholder-based project (BERL, Malawi) and a large plantation (Niqel, Mozambique). Our study focuses on changes in provisioning ecosystem services such as biofuel feedstock, food, and woodland products that can have important effects on human well-being locally. Qualitative information is provided for other regulating and cultural ecosystem services. Although at this stage no impact is tremendously positive or negative, both projects show some signs of viability and local poverty alleviation potential. However, their long-term sustainability is not guaranteed given low yields, uncertain markets, and some prevailing management practices.

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The purpose of this paper is to review selected socio-economic aspects of the Kyoga basin lakes with a view to assessing, the potehtials within the fishing communities for participatory management and poverty eradication. This paper is based on information obtained from three categories of activities. First a review of existing data and reports was undertaken to establish existing knowledge on the subject and identify the gaps.

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Society and information economy have changed every aspect of our life in society: the economy, trade, business, industry, media, education, health, our entire culture. More than twenty years, Dr. Jerrold Maxmen2 said all medical functions may be performed in future by a team of paraprofessionals and computers: the clinical histories, physical examinations, laboratory tests, diagnoses, treatment and prognosis, and preventive functions, public health, research, education and health administration.The consequence is that doctors have less political power and consumers more opportunity to control the operation and structure of the health care system.