Friday, September 6, 2019

Child Health Patterns Essay Example for Free

Child Health Patterns Essay 1)Compare and contrast identified similarities as well as differences in expected assessment across the childhood age groups. In the health perception category parents are responsible for their child’s perceived level of health and well-being, and on practices for maintaining health. In the school age years the children are beginning to incorporate their own health practices like good hygiene in their daily lives. The nutrition and metabolic pattern continues with help of the parents. Toddlers and preschoolers rely on their parents to make sure that they are eating the right foods. School age kids are in the stage where they can pick out their own foods and have been taught what the best sources of good nutrition are. In the toddler age group, parents are beginning to initiate toileting training. By the school age years this age groups has elimination patterns similar to adults. With the exception of those who have elimination problems like enuresis. Throughout the three age groups, activity and exercise levels continue to increase with the learning of new fine and gross motor skills. Once again parents continue to play a big role by promoting healthy levels of physical activity with their child. As the child begins to age so does their ability to comprehend and use information. Each age group the child continues to add another cognitive function. The biggest difference between sleep patterns is that as the child ages naps are no longer needed. All of the age groups tend to need at least 8 hours of sleep. The differences between the age groups in the roles and relationship pattern is that in the toddler and preschool age they try to identify with their parents or care givers whereas school age children begin to focus or identify with their peers. The value and belief pattern is instilled in the child when they are born. Parents or caregivers teach their children what values are important to them. 2)Summarize how a nurse would handle physical assessments, examinations, education, and communication differently with children versus adults. Consider spirituality and cultural differences in your answer. Adults and children are in two different stages of life. Children are in the stages were they are still learning and understanding how the healthcare world works. Most adults on the other hand are used to going to the doctor and they kind of understand the routine during the assessment process. â€Å"Many assessment techniques for the child are similar to those of the adults. Techniques for approaching the pediatric patient vary from one age group to the next. A basic principle during the physical assessment is building a trusting relationship; this can be done in a variety of ways† (Estes, 2006, pg 848). When assessing the child the nurse must establish a game plan based on the child’s age. Children are already frightened about the idea of receiving an exam but the nurse can use techniques to reduce anxiety. Parents or caregivers must be available for support. According to Estes, 2006 nurses can use game playing and they can demonstrate procedures on a doll, stuff toy or on the parent to increase patient cooperativeness. The writer remembers learning in nursing school about when taking the blood of a younger child. Never say â€Å"I’m going to take your blood pressure† but say something like â€Å"I going to see how strong your muscles are with this cuff†. When educating the child try to involve their parents but use materials that are on the child’s level. This can consists of materials that use colorful pictures and graphics. Individuals have to understand their own beliefs and traditions especially nurses who are with always dealing with the public. Each day more nurses are providing care to patients that are from different cultures. With such a diverse population challenges will be faced. â€Å"As American society shifts in demographics and attitudes about diversity, there is a growing recognition that health and illness care occurs in dynamic interactions situated within complex cultural contexts for both patients and providers† (Benkert, Borse, Doorenbos,Schim,2005, pg324). Nurse have to be more culturally sensitive when assessing and educating patients. If the nurse is unfamiliar with ethnicity or race then research should be done before the assessment if time allows. References Benkert, R. Borse,N. Doorenbos, A. Schim, S.2005. Psychometric Evaluation of the Cultural Competence Assessment Instrument Among Healthcare Providers. Nursing Research.54(5)324-331. Edleman,C. Mandle C.(2010). Health Promotion Throughout the Life Span. Missouri: Mosby Elsevier. Estes M. (2006). Health Assessment Physical Examination.Canada: Thompson Delmar Learning.

Thursday, September 5, 2019

Analysis of Economies Based on Data Into Stage 1, 2 and 3

Analysis of Economies Based on Data Into Stage 1, 2 and 3 Indranil Dhar Analysis of economies based on data into Stage 1, Stage 2 and Stage 3 Based on World Economic Forum’s Global Competitiveness Report 2014/2015[1]. And the data provided in the spread sheet, the countries can be divided into: Factor Driven Economies (Stage 1)[2] Efficiency Driven Economies (Stage 2)[3] Innovation Driven Economies (Stage 3)[4] This distinction is primarily based upon GDP per Capita as well as share of exports of mineral goods in total exports.[5] Stage 1 Factor Driven Economies: Vietnam Myanmar Nicaragua Transition from Stage 1 to Stage 2 Botswana Stage 2 Efficiency Driven Economies Thailand Tunisia Transition from Stage 2 to Stage 3 Croatia Mauritius Stage 3 Innovation Driven Economies Greece Hence Competitive index of a stage 1 economy can be calculated as follows: = 0.6(Factory Driven Economies) + 0.35(Efficiency Driven Economies) +0.05 K- which is a constant for Innovation Driven Economies) Hence Competitive index of a stage 2 economy can be calculated as follows: = 0.5(Factory Driven Economies) + 0.45(Efficiency Driven Economies) +0.05 K- which is a constant for Innovation Driven Economies) Hence Competitive index of a stage 3 economy can be calculated as follows: = 0.2(Factory Driven Economies) + 0.5(Efficiency Driven Economies) +0.3 K- which is a constant for Innovation Driven Economies) Here 1st Pillar: Institutions (25%) Intellectual property protection Burden of Government regulation Here 2nd Pillar: Infrastructure (25%) Quality of Overall Infrastructure Here 3rd pillar: Macroeconomic environment (25%) Gross National Savings as a % of GDP( Here since all the parameters are in range of 1-7 with 1 being worst and 7 being best, I have modified the data within excel to showcase this( please refer Appendix A) Here 4th pillar: Health and primary education (25%) Quality of primary education Hence Factor Driven Economies = (Intellectual property protection+ Burden of Government regulation)/2(25%) + Quality of Overall Infrastructure (25%) + Gross National Savings as a % of GDP (25%) + Quality of primary education (25%) Here 5th pillar: Higher education and training (17%) Quality of maths and science education Here 6th pillar: Goods Market efficiency (17%) Trade Tariffs(Here since all the parameters are in range of 1-7 with 1 being worst and 7 being best, I have modified the data within excel to showcase this( please refer Appendix A) Here 9th pillar: Technological Readiness (17%) FDI and technology transfer (17%) Here Efficiency Driven Economies = (Quality of maths and science education (17%) + Goods Market efficiency (17%) + Technological Readiness (17%)) (Since information about other pillars are not present) We will analyse the countries at each stage with regards to its short term growth (up to 10-15 years) and long term growth (15-20yrs +) on the basis of the competitive index at their respective stages and the competitive index of their next higher stage. If the competitive index of a country at its own stage is high it means that the country is away from its steady state and hence it will have short term growth prospects. Similarly if the competitive index of a country is higher at its next stage it means it is ready for the next level and hence it has long term growth prospects. This is off course subject to the condition that the current growth parameters at its current stage are at a satisfactory level. Analysis of Stage 1 economies Since these are stage 1 economy the assumption here is more or less they have a similar production function though convergence law may not apply as these countries are having different economic, cultural, geographical, historical backgrounds. As Stage 1 economies, the growth rate is heavily dependent upon capital accumulation which in turn is dependent on high investment (savings rate). It will also depend upon primary education, quality of infrastructure, labour, and health and primary institutions more than secondary education or trade barriers or technological innovation. It will also depend if the country has reached its steady state at that production function level and at what level of capital accumulation. Only if it shows sustained growth i.e. it is far away from its steady state and its primary factors( competitive index at stage 1) is high, it can be evaluated to check if can increase its production function to the next higher level for which more importance will then be gi ven onto secondary education, trade barriers and technological advances( Competitive index 2). Also GDP growth of previous years gives a trend. Considering the above factors we can conclude that Vietnam will grow the fastest within the next 10-15 years (short term). As it shows favourable stats it can progress to the next higher stage in the next 20 years. Myanmar on the other hand seems to have achieved steady state at a very less capital. Since the rate of investment is less and its primary factors such as education and infrastructure is less, its growth prospects are less. With a high trade barrier and less secondary education and lesser technological advances it cannot graduate itself to a stage 2 economy in the next 20 years. Nicaragua has similar statistics to that of Myanmar. However its primary education, quality of infrastructure is higher which suggests a higher growth prospect. Since its trade barriers are less and technological parameters are high, it has more chances of long term growth than Myanmar. Overall, the ranking on the basis of long term growth is as follows: Vietnam Nicaragua Myanmar Analysis of Stage 2 economies Since these are stage 2 economies, these will be more dependent on the next higher production function curve which is higher education, trade barriers, and technological advances. Off course investment in infrastructure, institutions, primary education and capital accumulation will still remain important though not as high as they were for stage 1 economies. Botswana seems to be leading the pack but because it is highly dependent upon minerals mainly diamond mining which have finite years and are subject to market speculations[10], it will be ranked lower to that of Thailand due to the fact that it is lesser in secondary education and technology transfer. Thailand in fact can graduate to the next higher level in the next 20 years. Tunisia on the other hand due to its high trade barrier will have consistent slow growth rate at its current productivity levels and will not progress to the next higher level. Overall, the ranking on the basis of long term growth is as follows: Thailand Botswana Tunisia Analysis of Stage 3 economies Since these are already stage 3 economies, the determinant factor will be their distance from steady state. And this will be dependant on high total factor productivity factors such as technological innovation, efficiency, human capital, trade barriers more than capital accumulation or primary education or quality of infrastructure unless there is a big issue with those parameters. The competitive index of stage 3 sums up the critical factors and based on that we can say Mauritius is having this highest growth prospect followed by Croatia and Greece. Greece is having a recession which can suggest in a way that it has reached its steady state. Since it’s technological and efficiency factors are not very high, it will struggle to grow in both short as well as long term. Overall, the ranking on the basis of long term growth is as follows: Mauritius Croatia Greece Conclusion: Based on the above analysis, we can conclude that Vietnam is the most growing country whereas Greece is the least. The rankings are as follows: Vietnam Thailand Botswana Nicaragua Mauritius Tunisia Myanmar Croatia Greece Iron Law of convergence Convergence can only happen when the countries are similar in terms of geography, culture, history and other related parameters. Countries that can be clubbed together Vietnam, Thailand and Myanmar Croatia and Greece Mauritius and Botswana In the case of Vietnam, Thailand and Myanmar, Vietnam can catch up with Thailand in the next 20-30 years. Similarly, Croatia will catch up with Greece within the next 10 years. And finally Botswana will catch up with Mauritius within next 10 years. [1] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2014-15.pdf [2] http://en.wikipedia.org/wiki/Global_Competitiveness_Report [3] http://en.m.wikipedia.org/wiki/Global_Competitiveness_Report [4] http://www.scribd.com/doc/154276062/National-Competitiveness-Report [5] http://openaccesslibrary.org/images/ULV227_Mark_Loo.pdf [6] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2014-15.pdf [7] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2013-14.pdf [8] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2014-15.pdf [9] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2013-14.pdf [10] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2014-15.pdf [11] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2014-15.pdf [12] http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2013-14.pdf

Wednesday, September 4, 2019

Poverty in Sudan: Trends and Causes

Poverty in Sudan: Trends and Causes To measure the trends of poverty in a systematic way one needs a continuous flow of household-level data pertaining to income and expenditure. The first household budget survey carried out in Sudan was in 1968 followed by the second one on 1978. In 1992 the ILO funded the migration and labor force survey. Also, in 1992 the Social Solidarity fund funded the poverty line survey. In 1994, Ali adopts a direct approach to assess the impact of the Structural Adjustment Programs (SAPs) (1978-1986) on poverty in Sudan. However, and before reviewing poverty in Sudan let us glimpse the factors behind poverty in Sudan. Causes of Poverty The causes of rural poverty in Sudan are to be found in the sustained urban bias of the development strategies adopted since independence. This tended to neglect the traditional agricultural sector where the vast majority of population lives and is the main source of rural livelihood. This has resulted in high rural to urban migration unaccompanied by either increased productivity in the sector or sufficient urban development to generate the necessary urban employment opportunities. Note that the development of the agricultural sector was completely ignored but it was dichotomous in nature in the sense that the Islands of modern irrigated agriculture coexisted side by side with the vast traditional rain –fed agriculture. While the former benefited from modern scale specific technologies and market access, the latter lagged behind in terms of production technologies, finance, management, research, extension, market access and rural roads. As a result of this unbalanced urban/ru ral development structure, the traditional agricultural sector continued to be the major source of limited supply of unskilled labor to urban centers thereby swelling the ranks of the informal labor markets where there is little employment at or near the subsistence wage level. This has also exerting additional pressures on the already limited and over stretched social services and facilities. These trends were further aggravated by those displaced by both natural (rainfall failures leading to famines) and manmade disasters. El Tahir M. Nur (1992). In addition and throughout the period since independence, there has been a clear pro- urban bias in policies adopted by successive governments. These manifested themselves in the provision of a reasonably adequate social and economic infrastructure not matched by similar facilities in the rural areas. These pro- urban biases were further strengthened by the long running policies of subsidizing a variety of goods consumed by urban population. However, such goods were out of reach of many of most of the urban poor particularly, the recent migrants from rural areas who represent the poorest of the urban poor who are manually employed in the marginal jobs in the informal sector. But, it must pointed out that most of these consumption subsidies have been abolished under the recent economic reform programs, though electricity and piped water are still subsidized such that piped water is cheaper in urban than in rural areas. The effects of urban bias were further aggravated by government ma rketing policies for some of the major export crops mostly grown in rural traditional sector, where export monopolies very much along the lines of the old marketing boards, were established for Gum Arabic, oilseeds (abolished in late 1980s) and more recently livestock. This marketing structure has adversely affected farmers’ incomes, their incentives to increase production and their chances to raise their living standards. In the context of poverty alleviation, the current marketing structure for those exports needs radical reform. As discussed above, causes of poverty are more complex. Part of the explanation is certainly the lack of rural focus in the various development efforts since independence. The other part of the explanation relates to the basic characteristics of the traditional sector. In other words, it is vulnerability that constitutes the major cause of impoverishment and deprivation in the traditional sector. The unstable climatic conditions of rural Sudan, with their characteristics of frequent rainfall variability, have from time immemorial altered rural producers to the periodic oscillation from feast to famine situations. A basic strategy of rural producers was and continues to be hoarding of surpluses in good years to transcend the hardships of lean years. Furthermore, conflict in Sudan, as in elsewhere; represent the most devastating factor to nation’s infrastructure and welfare. Therefore, the civil strife took place in various parts of the country since independence, represents one of the most ravaging factors and has a tremendous impact on poverty situation in the country. Thus, southern Sudan was the most severe conflict and has been counted as the most destructive elements of development in the whole country. The war has also resulted in numerous cases of Internally Displaced Persons (IDPs) and returnees whose situation become aggravated after they were but in zero stage of living. The problems of debt and the deterioration in donor community relations have also a tremendous effect on the poverty situation in Sudan. The International Institutions such World Bank and African Development Bank used to finance several sectoral developmental projects that have a direct impact on population welfare. However, the absence of those institutions has resulted in an un-bridged gap in terms of resources availability that reduces employment opportunities. Magnitude and poverty trends It is most important to note that the poverty trends differ very slightly and sometimes vary greatly between groups. In general terms, the number of the poor people in rural areas has increased with a rate nearly equal to the rate of population increase. And the number of the poor urban household has increased at a higher rate than the urban population growth rate. This situation was created due to immigration took place from the rural areas to urban centers responding to the economic incentives consistent with the objectives of maintaining industrial revolution centered in urban sector. However, as we mentioned earlier, the industrial sector was not able to absorb the rural migration. An elaboration of poverty situation will be presented in the sub-periods below depending mainly on studies made by Ali Abdel Gadir: â€Å"Poverty and Structural Adjustment Programs in Sudan†. The trend of head count index in Sudan over this period (1968-1978) had been increasing at an annual rate of 0.5% Annex 4. Over the same period, the number of rural households had been growing at a rate equal to the rural population growth rate while the number of poor urban households had been growing at a rate higher than the urban population growth rate. Over the same period, the poverty gap ratio in the whole country had been decreasing at an annual growth rate of 0.64%. This shows that although poverty had been spreading at an annual rate of 0.5 % over the period, the economic conditions of the poor had improved over the same period. The rural urban poverty structure emerged as a result of a hasty adoption of dual economy development modules that advocate development through the transfer of cheap labor from the rural traditional sector (agriculture) to the urban modern sector (industry). Urban modern wage sector failed to absorb the rural migrants and marginal urban jobs by the rural migrants (the informal sector) proved not to be a stepping stone to the formal wage sector. During the period (1978-1986) the headcount index increased from 54.3% in 1978 to 77.8% in 1986 at an annual rate of increase 4.6% and the rural urban poverty disparity was that the rural headcount index for urban increase from 20.5% in 1978 to 52.9% in 1986. However, the rural incidence of poverty (83.1) remained higher than the incidence of urban poverty (53%). However, the period had witnessed that the incidence of urban poverty had been growing at a higher annual rate 12.6% than the rural (3.3%). Meanwhile, the number of poor families in Sudan increased from 1.7 million in 1978 to 2.7 million in 1986 in an annual rate of 6.2% which is higher than the population growth rate. Up to 1986, the number of the poor rural families exceeded the number of the urban poor families by 2.33 million but growth rate of the poor urban families exceeded that of rural by 9.4% percentage points ( Nur, 2003:5). The observed high pace of the incidence of urban poverty (12.6%) over the period (1978-1986) was attributed to the structural adjustment programs (SAPs) and the urban bias development policies (i.e. the development that overlooks the rural areas without creating enough urban jobs) coupled with urban poverty growing faster than rural poverty. Sudan poverty gap index, over the period (1978-1986) increased from 23.1% in 1978 to 45.4% in 1986 at an annual rate of increase of 8.8%. This implies that, given the incidence of poverty, the income gap ratio increased from 42.6% in 1987 to 58.4% in 1986 at an annual rate of increase of 3.9%. By contrast, during the period (1968-1976) the incidence of poverty has been increasing at an annual rate of 0.5% but poverty and income gap ratio has been decreasing at an annual rates of 0.64% and both 1.2% respectively (improve economic conditions of the poor). Comparing the two periods, we notice that the poverty levels, both in urban and rural, have in creased sharply. Therefore, the situation has become more and more complicated and the existing social safety nets ( Zakat and other social funds) were unable to address the phenomena at that time. During this period, the incidence of poverty has also increasing. The national headcount index increased from 77.8% in 1986 to 91.4% in 1992. The rural and urban headcount indexes increased from 82.1% to 93.2% and from 52.9% to 84.4% respectively. In addition to, the number of poor households increased from 2.71 million, in 1986 to 3.43 million in 1992 at an annual rate of increase of 4% (Nur, 2003:7). The poverty trend is shown below in Annex 4.The national poverty gap index increased at an annual rate of 1.7% over the period (1986-1992). The rural and urban poverty indices increased at an annual rate of 1.4% and 2.9% respectively. The national urban mean income of the poor as a ratio of the poverty line decreased over this period from 0.42 to 0.33, from 0.54 to 0.43, and from 0.38 to 0.22 respectively. This indicates that poverty had been deepened all over the country, particularly in the rural areas. Generally, three main poverty indicators namely, the head count index, the income gap index and poverty gap index, had been increasing at an increasing rate all over the period. It is also revealed that structural rural and urban forms of poverty exist in Sudan since 1986 and continued to exist at higher rates. Again, the continued urban bias characterized development in Sudan, overlooked the agricultural sector, lead to reduction in rural livelihoods. The result is that high rates of rural migration took place without creating sufficient employment opportunities for immigrants, coupled with displacement resulting natural and manmade disasters has worsened the situation. The public spending on social services like health and education was reduced and the poor are obliged to pay for these essential services, putting more pressure on their earnings in the formal sector defected their coping efforts to catch up with the rising cost of living. During this period, there is a serious vacuum in the data about poverty and other human indicators that have direct or indirect relation with surveys. Therefore, this period depend very much on perceptions and nobody dared to come out with results on poverty since no recognized survey oriented research is conducted in this field. However, several attempts were undertaken to tackle the issue. These attempts were not able to cover that huge gap through time (i.e. time series data to cover the period 1994-2003), although, they were able to produce an acceptable results and arguments that could be used as a proxy for the poverty phenomena in Sudan. The most interesting attempt has conducted by Eltahir M. Nur â€Å"Human Poverty in Sudan (2000); Magnitude and Distribution† then updated in 2003. Human Poverty As poverty in the human development perspective manifests itself in the deprivation of lives that people can lead, Tahir Nur methodology identified three main areas of human deprivation that correspond to the three human choices. These areas of deprivation include deprivation in survival, deprivation in knowledge, and deprivation in economic provisioning. Size and distribution in deprivation in Survival Deprivation in survival is all over the country but particularly high in the rural areas. While the rural national averages of means or the probabilities that a person will die before age 40, a child will die before age 5, and an infant will die before his (her) first birthday are 20.2%, 10.5%, and 7.2%, the urban national means of the same poverty indicators are 19.4%, 9.95% and 6.89% respectively for North Sudan where data is available, are 22.77%, 11.73%, and 8.10% respectively. From this comparison, we conclude that in terms of South–North, urban deprivation in the South is higher than that in the North but the differences in poverty indicators are small. Within the North, the rural deprivation in survival is higher than the urban one and again the rural urban differences in poverty indicators are small. Looking at the state rural ranking of poverty, we note that the top five states in rural poverty are the Red Sea, the Blue Nile, Kassala, South Kurdufan, and North Darfur. Their group means of the three poverty indicators (29.66%, 15.52%, and 10.52%) are higher than the national means (23.59%, 12.3%, and 8.334%) of the same poverty indicators. We also note that the states with the least rural deprivation in survival are El Giezira, the northern, the River Nile, North Kordufan, West Kurdufan, and South Darfur– arranged by the order of being the least poor state. The probability that a person will die before age 40 is the largest component of the deprivation survival index throughout the States – a great loss of productive human capital. Size and distribution of the deprivation in knowledge The rural national deprivation is almost double the urban national deprivation in knowledge. While the rural national means of inaccessibility to media, adults illiteracy rate, basic education dropout rate, and secondary education dropout rate are 67.2%, 27.4%, 9.8%, and 53.6%, the urban national means of the same poverty indicators are 42.4%, 15.8%, 26.8%, and 27.4% respectively. Therefore, priority in the re-education of the deprivation in knowledge should go to rural areas. Provision of basic and secondary education service is vital for the reduction in the deprivation in knowledge because education dropout rate is the major component of the deprivation in knowledge index in all the States and across the board of rural and urban location. The rate of inaccessibility to media (radio and T.V) is the largest component of the rural deprivation in knowledge index. Upon raking the states by the basic education dropout rate, the States of the Blue Nile, North Kurdufan, West Darfur, North Darfur, and South Kurdufan come top in the state – level rural profile of the deprivation in knowledge. Their rural group means of inaccessibility to media (75%), adults illiteracy rate (29.3%), basic education dropout rate (69.6%), and secondary education dropout rate (71.1%) are higher than the national rural means (67.2%, 27.4%, 49.8%, and 53.6%) of the same poverty indicators respectively. For the national urban poverty ranking, while the blue Nile and west Darfur states retain their positions among, Wau, and Malakal replaced North Kurdufan north Darfur, as South Kurdufan as top poor urban areas in knowledge. While rural Khartoum is among the middle poor state in knowledge, urban Khartoum is among the least poor states in knowledge. In view of these results, basic, secondary, and adults education services should be extended to the rural areas with emp hasis on the top five poor states. Size and distribution of the deprivation in economic provisioning Rural national deprivation in economic provisioning is higher than the urban national one. The rural national means of the proportion of people with no access to electricity (75.5%), with no access to safe drinking water (46.7%), with poor sanitation (46.5%), dependent on the use of biomass energy (79.6%), below food poverty line (55.9%) are higher than the urban national means except for the head count index (80.9%) and the proportion of people dependent on the use of biomass energy (82.8%) which are higher in the urban areas. However, the rural national mean of the composite poverty index (59%) is higher than urban national mean of the composite poverty index (54%). Therefore, rural areas rank number one in the deprivation of economic provisioning. On average, while the proportion of people who have no access to electricity (75.5%) and that of those who depend on the use of biomass energy (79.6%) are the highest rural poverty indicators the latter (82.8%) and the proportion of thos e who are below food poverty line (80.9%) are the highest urban poverty indicator The experience of the Sudan, however, is unique. Some studies came out with, â€Å"despite the relatively high growth, evidence seems to suggest that its effect did not trickle down considerably to reduce poverty or expand formal employment opportunities†. Ibrahim A. Ibrahim et al (2001:11) While people expecting the poverty levels be reduced as the country’s GDP increased, there is strong allegation that poverty is increasing. In conclusion, while worldwide benefited from the global economic growth, Sudan did get to know that experience and the effect of economic growth on poverty is still very minute in general perception. Although, the prompt reason to think about is the mal-distribution of income, yet, the situation has many other interpretations and this area will further be elaborated in coming paper.

War Aid Advertisement :: Papers

War Aid Advertisement What sort of person are you? Would you be able to survive if you had to live in extreme weather conditions? Would you be able to work 18 hour days, with only a few hours sleep? Would you be able to help those who are in pain, and suffering? If you think the answer to these questions might be yes, you might be the one that we need. If you decide to join War Aid, to help those who are less fortunate than yourself, then you will need many different skills to help. These skills are a vital part of the job, and you will also learn more whilst you work with us. We need our workers to be brave and determined in every aspect of their job. When you are sent to the area where you will work, the situation will be completely different to what you are used to. You could be sent anywhere, to do any job. You could be sent to work in a war zone country, and their will be a variety of jobs that you may possibly be involved in. For example, you may be working in a refugee camp handing out food parcels, or you could be taking food to the soldiers who are fighting for us. You could help to create a sanitation system in areas that have nothing. You may help to build pumps and taps for clean running water, in a small village in Africa, where the people usually have to walk 2 or more hours each day to find the small amount of dirty water that is available. You would be looking after the civil order of areas. Working for War Aid is similar to joining the army, but in many ways it is also different. Becoming a War Aid volunteer allows you to help, by giving us your services for a three month period, which may differ in length. You will be sent to war zone countries to help with the overall running of refugee camps, and other tasks that will take place

Tuesday, September 3, 2019

The Impact of Language on Identity and Social Acceptance in Richard Wright’s Novel, Black Boy :: Race African American

The Impact of Language on Identity and Social Acceptance in Richard Wright’s Novel, Black Boy The entire act, the entire situation, the entire experience of discovery is not only unique to each and every individual, but more importantly, a thrilling tumult of emotions gone haywire and perceptions completely altered. Richard Wright, in his autobiographical work Black Boy, attempts to convey the discovery of nothing less than language itself. Employing a wide variety of rhetorical devices and insightful commentaries, Wright expertly conveys his newfound respect for language and its tangible impact on both identity and social acceptance. Perhaps most notable throughout the passage is Wright’s use of rhetorical questions to both outline his whirling thought processes at the time and create a sense of the urgency in his audience. â€Å"Why did he write like that? And how did one write like that?†¦What was this?† By providing answers to some of his own questions and the allowing the readers to do so for themselves for the rest, Wright engages the readers, bringing them along for the ride of discovery. â€Å"Who were these men?† Wright asks, â€Å"Who was Anatole France? Joseph Conrad? Sinclair Lewis, Dostoevsky, Moore, Gustave Flaubert, Maupassant, Tolstoy, Frank Harris, Mark Twain†¦Ã¢â‚¬  In fact, an entire paragraph is dedicated to these the listing of these authors, whose names were meant to both intrigue the audience and create a sense of fascination. The fast-paced, almost tumultuous wave of new perceptions conveys Wright’s newfound awe over the effect effective use of langua ge could have. Wright’s choice of diction, chosen to convey both imagery and invoke ethos also proves to be effective. He describes Mencken as he pictured him at the time, active and in a furor, â€Å"a raging demon, slashing with his pen, consumed with hate, denouncing everything American, extolling everything European†¦ laughing†¦mocking.† These words, full of fierce emotions, conveys exactly how deeply Wright feels the language of Mencken. With the forming of a realization that one’s use of language could impact how others saw one, and perhaps even influence what one truly was, Wright describes how his impulse to dream of writing â€Å"surged up again†¦I hungered for books, new ways of looking and seeing.

Monday, September 2, 2019

Coach cater

l came to coach basketball players, and you became students. I came to teach boys, and you became men†. This quote shows how successful Coach Ken Carter's managing techniques are, however Coach Carter uses many managing styles through out the film. A good manager uses multiple managing techniques these techniques are autocratic, persuasive, consultative, participative and laissez fairer. Coach Carter's managing methods vary between the different situations he comes across. As shown wrought out the film Coach Carter's managing styles and approaches are very successful.One of Coach Carter's managing styles was autocratic. Autocratic managing Is mainly based only the managers decision also known as centralized decision making. This managing style is mainly focused on tasks and does not accept much feedback and gives very tight timeliness. An example of an autocratic managing style is when coach carter says, â€Å"let's see how many suicides you can do in†¦ One hour and seven minutes†. This quote shows how he is trying to discipline his team and the tight implies an autocratic manager Like coach carter would give In a situation Like that.A second managing style that is used by coach carter is a persuasive technique. Persuasive managing is very similar to the autocratic managing techniques. It uses centralized decision making, only interested in results and outcomes, however a manager of this technique would accept very little feedback. Instead of tight timeliness he or she often sells you decisions. An example of a persuasive managing style Is when coach carter says. Most importantly we control the tempo of the game†. This quote shows that he is giving orders that persuade the team to perform better.The third managing style coach carter approached his team with was a consultative approach. The consultative managing style consists of the manager willing to accept most of his or hers staff opinions. Consultative managers are more employee orie ntated and the staff has more Input with tasks. Coach carter uses this method of managing when he realizes his team is getting better at playing basketball, an example of this managing style is when coach carter is not satisfied with their grades however he is willing to help them improve their grades.This quote shows that coach carter believes in his team and is willing to hell them as he can see they have potential. The fourth managing style that was used by coach carter most commonly was a participative style. This managing style consists of many factors which are that decisions are made together, responsibility is often delegated to his or hers staff. This managing style also accepts a lot of feedback and is more of a flexible managing Tyler. N example of this managing style is shown when team member Jason Lyle says, â€Å"You said we're a team. One person struggles, we all struggle. One person triumphs, we all triumph†. This quote shows that he allows his team to make de cisions and to The final managing technique that was used by coach carter was laissez fairer in English translation leave alone. This technique is very laid back and is commonly used by a manager who has a staff that is very talented, however with a talented staff you can give a lot of responsibility to your staff.High delegation must come with a talented and trusted team and this is shown when coach carter sees his team doing paperwork in the gym and Jason Lyle says, â€Å"they can cut the chains off the door, but they can't make us play,(Dampen carter) we have decided to finish what you've started, sir†. Another scene is when Dampen carter offers his father a contract to allow him to play for Richmond oilier. These quotes and this scene shows the teams dedication, talent and how they are capable enough to make decisions.

Sunday, September 1, 2019

Evaluating a Company’s Budget Procedures Essay

Springfield Corporation operates on a calendar-year basis. It begins the annual budgeting process in late August, when the president establishes targets for the total dollar sales and the net income before taxes for the next year. The sales target is given to the Marketing Department, where the marketing manager formulates a sales budget by product line in both units and dollars. From this budget, sales quotas by product line in units and dollars are established for each of the corporation’s sales districts. The marketing manager also estimates the cost of the marketing activities required to support the target sales volume and prepares a tentative marketing expense budget. The executive vice president uses the sales and profit targets, the sales budget by product line, and the tentative marketing expense budget to determine the dollar amount that can be devoted to manufacturing and corporate expenses, and then forwards to the Production Department the product-line sales budget in units and the total dollar amount that can be devoted to manufacturing. The production manager meets with the factory managers to develop a manufacturing plan that will produce the required units when needed within the cost constraints set by the executive vice president. The budgeting process usually comes to a halt at this point because the Production Department does not consider the financial resources allocated to be adequate. When this standstill occurs, the vice president of finance, the executive vice president, the marketing manager, and the production manager meet to determine the final budgets for each of the areas. This normally results in a modest increase in the total amount available for manufacturing costs, while the marketing expense and corporate office expense budgets are cut. The total sales and net income figures proposed by the president are seldom changed. Although the participants are seldom pleased with the compromise, these budgets are final. Each executive then develops a new detailed budget for the operations in his or her area. None of the areas has achieved its budget in recent years. Sales often run below the target. When budgeted sales are not achieved, each area is expected to cut costs so that the president’s profit target can still be met. However, the profit target is seldom met because costs are not cut enough. In fact, costs often run above the original budget in all functional areas. The president is disturbed that Springfield has not been able to meet the sales and profit targets. He hired a consultant with considerable experience with companies in Springfield’s industry. The consultant reviewed the budgets for the past four years. He concluded that the product-line sales budgets were reasonable and that the cost and expense budgets were adequate for the budgeted sales and production levels.