Academic literature on the topic 'Educational poverty index'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Educational poverty index.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Educational poverty index"
1
Zhu, Shilian. "Multidimensional Relative Poverty of Farmers in Tibetan Areas – Based on a Data Analysis on Micro Surveys." Proceedings of Business and Economic Studies 4, no. 6 (December 31, 2021): 84–90. http://dx.doi.org/10.26689/pbes.v4i6.2866.
Full textAbstract:
In 2020, the issue of absolute poverty has been solved, and China is building a well-off society in an all-round way. The issue of relative poverty is an important content of poverty reduction. Based on a survey data from Danba County in October 2020, this paper uses the AF method to calculate the incidence of multidimensional poverty and the multidimensional poverty index. The results showed that 44.65% of the farmers have multidimensional deprivation of any three indicators of relative poverty, and 2.79% of the farmers have serious multidimensional deprivation; the incidence of one-dimensional poverty in terms of “educational level index of head of household,” “per capita non-transfer income of households in 2019,” and “per capita household income in 2019” is the highest; at the same time, the contribution rate of the three indicators to the multidimensional poverty index is also higher than other indicators. Therefore, several suggestions have been put forward to alleviate the multidimensional relative poverty in the region from the aspects of industry development and education.
2
Baiju, K. C. "Nexus of multidimensional poverty and educational deprivation among the social groups: Evidence from a developing country." Journal of Governance and Regulation 12, no. 1 (2023): 147–58. http://dx.doi.org/10.22495/jgrv12i1art14.
Full textAbstract:
The interface between the incidence of multidimensional poverty and its fallout on educational deprivation is often debated in the realm of human development perspective. The paper aims to explore the nexus of multidimensional poverty and educational deprivation among the households belonging to different social groups, namely Scheduled Castes (SC), Scheduled Tribes (ST), Other Backward Castes (OBC), and Forward Castes (FC) in rural areas of a developing country, India (Gaur & Rao, 2020). A decomposition analysis within the human development framework using primary data from selected regions of India, namely Kerala, West Bengal, and Bihar, is attempted to explore whether there is any deprivation gap in education in the selected regions. The multidimensional poverty and educa-tional deprivation of select states are analysed using the Multidimensional Poverty Index (MPI) developed by Oxford Poverty and Human Development Initiatives (OPHI) (Alkire & Foster, 2011; Organisation for Economic Co-operation and Development [OECD], 2022; PIB Delhi, 2020; Ballon & Krishnakumar, 2010). The study identified the determinants of educational deprivation and its nexus with the multidimensional poverty of the households belonging to the social groups of rural India. The paper highlights the influence of disproportional attainment of education, which worsens deprivation leading to unequal outcomes of human development among the different social groups of rural India. The discussion further unfolds the incidence of disproportional multidimensional poverty among social groups in rural India that enables the explanation of the policy implications and interventions in educational entitlements.
3
McKinney, Stephen, Stuart Hall, Kevin Lowden, Michele McClung, and Lauren Cameron. "The relationship between poverty and deprivation, educational attainment and positive school leaver destinations in Glasgow secondary schools." Scottish Educational Review 44, no. 1 (March 13, 2012): 33–45. http://dx.doi.org/10.1163/27730840-04401004.
Full textAbstract:
The impact of poverty and deprivation on children and their education is a major source of concern for the United Kingdom and Scottish governments. This article reports on a research project that focussed on Glasgow city secondary schools for the period 2006-2009. The project aimed to establish an association between poverty and deprivation and attainment in public examinations and also in initial leaver destinations. The project constructed a tri-partite means of measuring poverty that used Free School Meal Entitlement, the Scottish Index of Multiple Deprivation and Staged Intervention. This measure was then compared with attainment figures and initial leaver destinations. Unsurprisingly, the research demonstrates that there is a major association between poverty and deprivation and attainment for the period. However, the research also demonstrates that there is no major association between poverty and deprivation and initial leaver destinations and that some schools serving poorer areas are particularly successful in securing a high proportion of initial leaver destinations.
4
OYEDEPO, ELIZABETH OMOLOLA. "CORRELATES OF POVERTY STATUS AMONG RURAL HOUSEHOLDS IN OGUN STATE, NIGERIA: AN ASSET INDEX APPROACH." Journal of Agricultural Science and Environment 16, no. 2 (November 22, 2017): 1–17. http://dx.doi.org/10.51406/jagse.v16i2.1680.
Full textAbstract:
Examination of the characteristics and causes of poverty is an important input into the design of economic policy and poverty alleviation programmes. This study assessed the poverty status of rural households in Ogun State, using the Asset Index Approach due to shortcomings of the conventional methods in poverty analysis. Relevant data were collected from a total of 260 households using a four-stage sampling procedure. The data were analyzed using principal component and ordered probit regression analyses (OPRA). The results showed that the OPRA, which significantly (χ2 = 135.20, p < 0.01) explained the probability of a household escaping poverty, revealed that the primary occupation of household heads and the educational status of household heads and their wives among others factors significantly affect the likelihood of escaping poverty. The study therefore suggested that the economic situation of rural households can be considerably enhanced by promoting member’s access to qualitative education and also by encouraging household heads who take up farming activities as their primary occupation to participate in credit associations, indigenous savings and micro financing so as to boost their farming. Therefore, rural development policies should be tailored towards developing these facilities.
5
Shah, Salyha Zulfiqar Ali, Fatima Farooq, Imran Sharif Chaudhry, and Muhammad Muzammil Asghar. "The Role of Internal and External Migration on Rural Poverty Alleviation In Pakistan: A Case Study of Multan District." Review of Education, Administration & LAW 4, no. 2 (June 25, 2021): 495–502. http://dx.doi.org/10.47067/real.v4i2.163.
Full textAbstract:
Migration has become an important part of the current global economy. People migrate from their homes for different purposes although this study endeavors to estimate the role of internal and external migration on poverty alleviation in rural areas of the Multan district. Binary logistic regression is applied to the data of 170 rural households. Poverty has been measured by the headcount index, poverty gap, and squared poverty gap, estimates show the high incidence of poverty in rural areas of Multan district. The findings reveal that rural to urban migration, foreign remittances, educational attainment of the household head, household head age and livestock population turn out to be discouraging aspects of poverty while physical disability and household size turn out to be encouraging aspects of poverty. To eradicate poverty easiness in internal and external migration should be ensured by the government.
6
Purwanto, Jamaludin Abdi, Rustam Abd Rauf, and Lien Damayanti. "ANALYSIS OF HOUSEHOLD POVERTY AT SOI VILLAGE, WEST MARAWOLA DISTRICT, SIGI REGENCY." AGROLAND: The Agricultural Sciences Journal 5, no. 1 (July 11, 2018): 16. http://dx.doi.org/10.22487/j24077593.2018.v5.i1.10454.
Full textAbstract:
This research aims at finding out the level of household poverty and analyzing the factors influencing the household poverty. The data were analyzed by using headcount index analysis, poverty gap analysis, distribution revenue analysis, total revenue of household analysis, and regression analysis. The poverty level can be seen from the seriousness of poverty index, namely 1.72 which means the poor household expenses various with the acerage value 1.72. the distribution revenue at Soi village, west Marawola district, Sigi regency showed that the average value of household income in 2017 was 246.000, with the coefficient Gini Ratio 0.22 or in the low inequality category. The results of regression analysis showed that the coefficient of terminated (R2) was 0.472. the total of household income variable gave negative significant influence with the coefficient of elasticity -2.341 (p < 0,05), the number of elasticity 3.325 (p<0.05), the age of head of household variable gave negative variable of land ownership gave positive insignificant influence with the value 0.726 and dummy variable of educational status of household gave positive significant influence with the value 0.633.
7
Ogwumike, Fidelis O., and Uche M. Ozughalu. "Analysis of energy poverty and its implications for sustainable development in Nigeria." Environment and Development Economics 21, no. 3 (August 19, 2015): 273–90. http://dx.doi.org/10.1017/s1355770x15000236.
Full textAbstract:
AbstractThis study estimates and analyzes the incidence and determinants of energy poverty in Nigeria based on a simple multidimensional energy poverty index that it constructed. It also highlights the implications of energy poverty for sustainable development in Nigeria. The headcount ratio and the logistic regression technique are used. The study utilizes the Nigeria Living Standard Survey data set of 2004, obtained from the National Bureau of Statistics. The estimates show that energy poverty is pervasive in the country; it afflicts over 75 per cent of the population. The determinants of energy poverty in Nigeria include household size; educational level, gender and age of household head; general poverty; region of residence; and proportion of working members in the household. Efforts should be made to adequately tackle the problem of energy poverty in Nigeria. This is a major way to put the country on the path to rapid and sustainable development.
8
Eddy Suryo Saputro, Agung, and Agung Priyo Utomo. "FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN SECARA MAKRO DI LIMA BELAS PROVINSI TAHUN 2007." Jurnal Organisasi dan Manajemen 6, no. 2 (March 10, 2010): 89–100. http://dx.doi.org/10.33830/jom.v6i2.285.2010.
Full textAbstract:
One factor which influences the success of poverty alleviation program is to determine where the poverty is concentrated. There are 15 provinces that have a value index of poverty depth (P1) higher than the value of P1 Indonesia. This study will describe the characteristics of poverty in 15 provinces; identify key factors affecting poverty at the macro level; and the relationship between each of the major factors in P1. Based on factor analysis obtained there are three main factors that characterize the 15 poor provinces, which are employment, education, and residence. Logistic regression analysis showed the relationship between employment factors and education with the negative P1. Both employment and educational factors have a significant effect on P1. Meanwhile, factor of residence was positively related to P1 but the effect is not significant.
9
Odaga, Geoffrey, and Esther Kibuka-Sebitosi. "The fair share dimension of tertiary educational distribution." Progress in Development Studies 21, no. 1 (January 2021): 26–50. http://dx.doi.org/10.1177/1464993420968651.
Full textAbstract:
This article presents the fair share methodology, a new development approach and perspective for policymaking, for countries struggling to achieve higher returns in higher education. The methodology involves the use of the fair share index as a measure to account for the rising trend of inequality and how its impact on societal well-being and community productivity to rise above poverty can be limited. The approach is innovative as it uses district-level empirical data to calculate the fair share index, the equity index and the equity gap in access to higher education as a development resource across time and space, allowing for inter-district and inter-temporal comparisons in trends of inequality/deprivation and what can be done to limit it. It offers policy makers, in developing countries an effective tool to ensure the benefits of development are more equitably distributed, such that no one is left behind. The methodology incorporates ‘equity’ as a third dimension of resource distribution, placing the discours of fair share in development literature and practice in ways not previously reported.
10
Adeoye A, Yusuf S.A., SalmanK. K, 2Adepoju A.O., Adejumo D.R., and Taiwo A.M. "COMPARISON ANALYSIS OF ASSET OWNERSHIP AND POVERTY STATUS OF FEMALE-HEADED HOUSEHOLDS IN RURAL NIGERIA." International Journal of Agriculture, Environment and Bioresearch 07, no. 04 (2022): 72–82. http://dx.doi.org/10.35410/ijaeb.2022.5746.
Full textAbstract:
This study analyzed asset ownership and poverty status of female-headed households (FHH) in rural Nigeria using the 2013 General Household SurveyData collected by National Bureau of Statistic. Descriptive statistics, principal component analysis, Foster, Greer and Thorbeeke and Ordered Probit models at α0.05 were used to analyse data collected from 424 FHH. The results revealed that asset index was highest in South-West Geo-political zone and lowest in NorthCentral. Mean per capita expenditure was N30, 258.6 while the poverty line was N20, 172.4 per annum. However, poverty incidence, depth and severity were higher in the North-Central geopolitical zone than the South-West counterparts. Aggregate asset index, educational status and membership of cooperative society of FHH significantly determined their poverty status. Also, additional aggregate asset for FHH reduced the probability of being core poor by 0.8% and likelihood of moderately poor by 0.9%. Female-headed household being in the North-East, North-West, South-East and South-Southhad theprobability of being poor reduced by 38.8%, 50.2%, 31.0%, 22.4% and 21.4% respectively relative to the North-Central.The study recommends that FHH should be involved in social network and accruing more skills since both are poverty reducing strategies.
Dissertations / Theses on the topic "Educational poverty index"
1
FINETTI, SIMONA. "LA POVERTA' EDUCATIVA: UN'ANALISI IN PROSPETTIVA PEDAGOGICA." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/118473.
Full textAbstract:
Il sintagma “povertà educativa”, introdotto in Italia da Save the Children nel 2014 e successivamente tradotto dalla stessa onlus come “educational poverty” in ambito internazionale, ha avuto un certo successo sul piano politico e istituzionale nel contesto italiano, contribuendo a catalizzare l’attenzione sulle povertà dei minori e, in particolare, su quelle immateriali. Negli anni è stato utilizzato per designare un complesso insieme di fenomeni, tuttavia dal punto di vista pedagogico è mancata una disamina critica che ne facesse emergere i significati latenti. Pur provenendo dall’ambito delle discipline economico-sociali, il costrutto di “povertà educativa” interpella in modo inequivoco la riflessione pedagogica, riferendosi evidentemente a dimensioni squisitamente pertinenti al mondo dell’educazione. La presente ricerca ne ha ricostruito le origini e ha cercato di delineare direzioni di senso utili alla definizione dello spettro delle diverse “povertà educative” e di possibili modi per prevenirle e contrastarle. Le fonti selezionate attingono a letteratura internazionale aggiornata a dicembre 2021. Ulteriore fonte sono le voci di adolescenti, raccolte durante un esercizio di ricerca qualitativa ispirato al movimento Student Voice e condotto con un approccio di derivazione fenomenologica.The phrase “povertà educativa”, introduced in Italy by Save the Children Italia in 2014 and later translated internationally as “educational poverty” by the same organization, has been successful in Italy both politically and socially, contributing to drawing attention to child poverty and, in particular, to financing prevention projects and enforcement actions against non-material child poverty. Over the years it has been used to denote a complex set of phenomena, however a critical pedagogical examination was missing in order to bring out some of its implicit meanings. Even if it originated from the fields of economics and social sciences, the idea of an “educational” poverty unequivocally challenges the pedagogical reflection, clearly referring to dimensions that are uniquely relevant to the world of education, both in its formal and informal implications. The present research reconstructed its origins and tried to outline meaningful directions for defining both the spectrum of different "educational poverties" and possible ways of preventing and contrasting them. The selected sources were drawn from an international literature updated in December 2021. Furthermore, adolescent voices were collected during a qualitative research exercise inspired by the Student Voice movement and conducted with a phenomenological derivation approach.
2
Hatla, Boitumelo Reneilwe. "The impact of government grants on poverty in Sharpeville / Boitumelo Reneilwe Hatla." Thesis, North-West University, 2011. http://hdl.handle.net/10394/8514.
Full textAbstract:
South Africa, like international countries, has been experiencing an increase in the levels of poverty over the years. Poverty affects vulnerable groups of society more intensely and these groups include children, the old, disabled people and women, especially those who are single parents. This dissertation studies the role social grants have on the level of poverty in households of Sharpeville. This study focuses on two areas namely the theoretical background of poverty and social grants; and what the impact is of income from social grants. The South African government provides its citizens with eight different social grants to help those in need and/or vulnerable. From these social grants only six are investigated for the purpose of this study. These grants include the old age grant, child dependency grant, foster care grant, child support grant, disability grant and the war veteran grant. Poverty is defined as the inability to attain a minimal material standard of living by the World Bank. The different indicators used in this study to profile poor households in Sharpeville include the Household Subsistence Level (HSL) as the poverty line, the poverty gap ratio, the headcount index and the dependency ratio. This dissertation shows that poverty within the township has increased over the five years. And to do this the results from the data survey conducted in 2009 are compared to the results from Sekatane‘s 2004 data. The poverty gap ratio and the headcount index for the township in 2009 were estimated at 0.86 and 0.654 respectively. In the year 2004 the headcount index was estimated at 0.431 indicating a 22.3 percent increase in the number of people living in poverty. This means that an estimated 5 477 households in Sharpeville, in 2009, were regarded to be poor When government grants are excluded from the household‘s income within the township both the poverty gap ratio and the headcount index decrease to 0.93 and 0.705 respectively. This means that when government grants are excluded from households‘ income within Sharpeville, the depth of poverty within household‘s increases. The income from government grants might be regarded as minimal, however it assists in moving households further from the poverty line. This study recommends that activities within the informal sector should be encouraged as this will increase employment opportunities for those unemployed in the township. As the vast majority of the unemployed people have skills from trading/retail sector; employment creation should be focused in this sector. Lastly, the income threshold used in the means test equation to check affordability of social grant applicant should be decreased as people meeting the current criteria are already living in dire poverty.Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2011
3
Maluleke, Tiyeselani Clara. "The relationship between poverty and inflation in Sharpeville / Tiyeselani Clara Maluleke." Thesis, North-West University, 2012. http://hdl.handle.net/10394/10303.
Full textAbstract:
All over the world, the level of poverty is increasing. In South Africa it is mainly concentrated in rural areas and differs significantly from whether considering race, sex, provinces or community areas. This dissertation studies the relationship between poverty and inflation in Sharpeville by determining the impact of rising prices on the poor households in Sharpeville. The study focuses on three areas, namely the theoretical background of poverty and inflation, the impact of rising prices in expenditure patterns and the relationship
to poverty. There are different approaches in defining poverty. Poverty can either be
absolute or relative. For the purpose of this study, poverty is defined as absolute. Thus the study defines individuals as poor due to their inability to attain a minimum material standard of living. This minimal standard of living is normally referred to as the poverty line. Inflation may be defined in different ways. For the purpose of this dissertation, inflation is defined as the rise in the general price levels over a specific period of time. Changes in expenditure patterns are caused by an increase in inflation. This study uses the regression model to determine the impact of inflation on poverty in Sharpeville. According to the macroeconomic theory’s implication, the same level of inflation on the same basket of commodities has a different level of effect on each household. Accordingly, in this study, all households are
assumed to be faced with the same inflation rate. Household size is positively related to poverty gap squared. This means that the more members there were in a household in Sharpeville the poorer they were. Households with the highest number of members were poorer than those with few members. Statistically, the null hypothesis that there is no relationship between household size and poverty gap is rejected, even at the 1% level of significance. EXPINFL is negatively related to poverty gap. The correlation matrix confirms the results in the regression analysis. The correlation coefficient between The relationship between poverty and inflation in Sharpeville Page EXPINFL and PGAP is -0.34467. Although it is relatively weak, the fact that there is a negative correlation confirms that inflation negatively affects poverty. Finally, the study recommends that government provides more job opportunities for the individuals without any source of income in Sharpeville. The government could also provide business funding to the unemployed individuals to enable them to start their own businesses. This would enable those individuals to create additional employment. In addition, measures should be introduced to determine the effect of inflation on those households who are not employed (that is, not receiving any form of income, not even through any form of grant), but do benefit from some form of feeding scheme administered by either government or non-profit organisations.MCom, Economics, North-West University, Vaal Triangle Campus, 2012
4
Evans, Teresa Craig. "School Choice at the Crossroads of Race, Class, and Accountability: An Analysis of the Effects of Voluntary School Choice on Elementary Schools in a Large District in the Southeastern United States." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3552.
Full textAbstract:
In recent years, the responsibility for the desegregation of American public schools has transitioned from federal court mandates to school board programs and policies. There is widespread belief that this has resulted in the resegregation of schools across the country. One popular policy that is purported to provide the opportunity for voluntary integration, along with accountability for academic quality, is school choice. The purpose of this study was to consider the implications of such a policy in one large school district. There is an extensive body of research exploring who participates in school choice, how they make their choices, and why they choose the schools their children attend. In contrast, this study was designed to investigate the actual choices made by parents and the impact of those choices on the elementary schools in the district.
This quantitative descriptive study examined the racial and socioeconomic composition of students in one district’s elementary schools during the 2009-2010 school year, and explored the extent to which the student populations in these schools would differ if all students had attended their attendance area schools, rather than participating in the district’s voluntary choice plan. The actual 2009-2010 demographics were compared to “counterfactual” demographics for each school. The researcher generated the counterfactual data by removing the students who chose to attend the school and adding back the students who chose to exit the school. These actual and counterfactual demographics for each school were used to compare dissimilarity indices calculated for the district’s elementary schools as they actually were, and as they theoretically would have been without the school choice program. Additionally, the quality of the schools parents chose was investigated.
The results showed that, in this district, the school choice plan did not impact the level of integration in the elementary schools. The schools were moderately segregated with the school choice plan in place, but were also moderately segregated based on the counterfactual demographics that represented the district without school choice. Most parents (60%) chose high quality schools, as identified by the state’s accountability plan. However, parents who chose low achieving schools were disproportionately black and poor. Further research is warranted to determine if the mechanics of the school choice plan could be manipulated to improve the level of integration in the district, and to better understand the decisions made by some parents to send their children to low performing schools.
5
Ramphoma, Sefako Samuel. "An analysis of socio-economic factors on poverty in Nyakallong (Matjhabeng Municipality) / Sefako Samuel Ramphoma." Thesis, North-West University, 2012. http://hdl.handle.net/10394/10346.
Full textAbstract:
The aim of this dissertation was to analyse the effect of socio-economic factors on poverty in Nyakallong. Nyakallong is a former Black township in the Free State Province of South Africa. The effect of the socio economic factors on poverty was analysed using an econometric model. The analysis was based on data collected by the researcher and three fieldworkers who conducted a survey of 412 households in Nyakallong in 2009. To calculate poverty rates and the effect of socio-economic factors, data relating to the area was used. Poverty was defined and then measured for the township, and the profile of both the whole and the poor population was determined. The following poverty lines are used in South Africa – PDL, MSL, MLL, SLL, HSL and HEL. The HSL, which is defined as an estimate of the theoretical income needed by an individual household to maintain a defined minimum level of health and decency in the short term, was used as a measure of poverty in the area. The headcount index, poverty gap ratio and the dependency ratio were also used to measure poverty. The headcount index was found to be 0.472 for Nyakallong, meaning that 47.2% of all household’s income is below their respective poverty line. Poverty rate in Nyakallong was found to be 48.5% which is almost similar to the poverty rate of 49.1% for the Free State province, while poverty rate in Kwakwatsi was found to be 62.1%. The analysis of the sources of income of the poor showed that government grants constitute 64% of household income, with the old state pension grant alone contributing 16% to household income for a poor family. In Kwakwatsi, government grants contributed 38.4% of poor household’s income, with the old state pension grant having contributed 40.6%. On average, the whole population has a monthly income of R2 938, 35 compared to R1 140 which is received by the poor population; while in Kwakwatsi, the poor population received a monthly income of R688 and the whole population received an average of R1401.01. The expenditure patterns for the whole sampled population show that 39.7% of household income goes to buying food, compared to 44.3% for the poor sampled population of Nyakallong. In Kwakwatsi, poor population spent 49.2% of income on food and the whole population spent 33.4%. In Nyakallong, 50% of the whole population and 53% of the poor population was found to be economically inactive. In Kwakwatsi, 44% of the whole population and 56% of the poor population was found to be economically inactive. The unemployment rate of the poor in Nyakallong is 95.6% compared to 69.9% of the whole population. In Kwakwatsi 86.9% of the poor population and 79% of the whole population were unemployed. The dependency ratio was found to be 6 among the poor population and 2 for the whole population of Nyakallong, while in Kwakwatsi it was found to be 7 among the poor population and 4 among the whole population. The study analysed the socio-economic determinants of poverty in the area. The data was evaluated using hypothesis testing for statistical significance of the parameters. It was established that there is a positive relationship between education and the poverty gap ratio although it is statistically insignificant. It was also found that there is an inverse relationship between employment and poverty ratio. This complies with theory. The results also showed a positive relationship between household expenditure and the poverty gap – this is what was expected, because expenditure is the reduction of resources. On gender, the results confirm the generally held hypothesis that female headed households are poorer compared to their male counterparts. The results show that poverty is high among female headed households compared to male headed households. Household size was measured by the number of people staying in a given house. The household size was found to range from one to eleven members per household. The average household size was found to be 4.2 in Nyakallong, 3.9% in Kwakwatsi and 3.4% in the Free State. Household size is an important variable in determining poverty – increasing the household size by 10% is likely to increase the poverty gap of the household by about 1%. This might seem not significant, but this is a result that must be noted and handled with caution. More people in households also mean more expenditure on food items, medical expenses, clothing and education. In order to reduce the level of poverty in Nyakallong, job creation and employment opportunities should be targeted. The nearby university of technology and FET College should inform learners at secondary schools about funds (NFSAS) available to help them in furthering their studies. Educators should also engage learners to realise the disadvantages of large household size. Large organisations such as ESCOM and Harmony Gold could help by means of skills development, especially among youth and females, in order to make them employable. Unemployment can also be reduced by putting back into operation the closed mine shaft and Allanridge Sanatorium hospital. A food garden community programme should be established in order to reduce the level of poverty. People who are involved should be trained on how to manage and develop the programme.MCom, Economics, North-West University, Vaal Triangle Campus, 2012
6
Masoka, Mbuiswa. "The role of education and training in job creation and poverty alleviation in the Sicelo township of Midvaal municipality / Mbuiswa Masoka." Thesis, North-West University, 2005. http://hdl.handle.net/10394/2454.
Full text
7
Machado, Cindy Louise. "Teacher attitudes, achievement, poverty, and academic performance index." 2008. http://digital.library.okstate.edu/etd/umi-okstate-2836.pdf.
Full textBooks on the topic "Educational poverty index"
1
Mothkoor, Venugopal, and Nina Badgaiyan. Estimates of multidimensional poverty for India using NSSO-71 and -75. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/935-8.
Full textAbstract:
We measure multidimensional poverty in India using National Sample Survey Organization data from 2014–15 to 2017–18. We use income, health, education, and standard of living to measure the multidimensional poverty index (MPI). The MPI headcount declined from 26.9 to 13.75 per cent over the study period. The all-India estimates indicate that 144 million people were lifted from poverty during this period. We include different health dimensions, factoring in insurance, institutional coverage, antenatal care, and chronic conditions. Income is the dominant instrument with the highest contribution to the MPI, followed by insurance. Cooking, sanitation, and education also have significant weights. The decline in deprivation is steeper in rural areas than urban areas. Our state-level estimates reveal that 20 states report less than 10 per cent headcount poverty, up from six states. COVID-19 may lead to reversals of these gains, with poverty rising to pre-2014–15 levels, rising more steeply in rural areas.
2
Maskaeva, Asiya, and Mgeni Msafiri. Youth unemployment hysteresis in South Africa: Macro-micro analysis. 20th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/954-9.
Full textAbstract:
This study simulates the macro-micro economic impacts of the employment policy, focusing on hysteresis in youth unemployment in South Africa. Specifically, we apply a dynamic computable general equilibrium model to calibrate the 2015 South African Social Accounting Matrix to estimate, compare, and determine the impact of employment policy on youth unemployment as well as on aggregate economic outcomes. We simulate two scenarios where we reduce the import price of fuel by 20 per cent. Then, the total government savings from the reduced transport subsidy are reallocated to the education sector to support the unemployed youth. The research findings indicate that demand for youth labour increases in the long run, resulting in a decline in the unemployment rate. Moreover, the consumer price index decreased more than nominal income, thereby increasing household purchasing power and, potentially, easing poverty.
Book chapters on the topic "Educational poverty index"
1
Beck, Valentin, Henning Hahn, and Robert Lepenies. "Interdisciplinary Perspectives on Poverty Measurement, Epistemic Injustices and Social Activism." In Philosophy and Poverty, 1–20. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31711-9_1.
Full textAbstract:
AbstractAs we enter the 2020s, global poverty is still a grave and persistent problem. Alleviating and eradicating poverty within and across the world’s societies requires a thorough understanding of its nature and extent. Although economists still standardly measure absolute and relative poverty in monetary terms, a consensus is emerging that poverty is a socially relational problem involving deprivations in multiple dimensions, including health, standard of living, education and political participation. The anthology Dimensions of Poverty advances the interdisciplinary debate on multidimensional poverty, and features contributions from leading international experts and early career researchers (including from the Global South). This introductory chapter gives an overview of formative debates, central concepts and key findings. While monetary poverty measures are still dominant in public and academic debate, their explanatory power has been drawn into question. We discuss relevant criticisms before outlining the normative concepts that can inform both multidimensional poverty and monetary measures, including basic capabilities, basic needs and social primary goods. Next, we introduce several influential multidimensional poverty indices, including the Human Development Index and the Multidimensional Poverty Index. The anthology shows in detail how such measures can be improved, from a variety of disciplinary perspectives. It shows that there are different methods of poverty research that require further investigation, including participatory studies, (value) surveys, public consensus building, the constitutional approach, and financial diaries. Finally, we show that there is an ongoing problem of epistemic asymmetries in global poverty research, and discuss responsibility for addressing poverty, including the responsibilities of academics. The remainder of the chapter is dedicated to a more detailed preview of the volume’s 20 contributions, which are assembled along the following five themes: (I) poverty as a social relation; (II) epistemic injustices in poverty research; (III) the social context of poverty; (IV) measuring multidimensional poverty; and (V) country cases.
2
Nugraheni, Irma Lusi, and Samadi. "Poverty Influence on Human Development Index in the Lampung Province." In Proceedings of the 2nd International Conference on Social Knowledge Sciences and Education (ICSKSE 2022), 367–75. Paris: Atlantis Press SARL, 2022. http://dx.doi.org/10.2991/978-2-494069-63-3_32.
Full text
3
Nath, Madhu Bala. "Gender Insights into a Unique Threat to Human Development." In Health Dimensions of COVID-19 in India and Beyond, 227–43. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7385-6_12.
Full textAbstract:
AbstractBoth primary and secondary data are examined to study the gender dimensions of the pandemic. While maintaining a focus on health, the author discusses the linkages of health, poverty, and women’s agency. The COVID-19 pandemic has impacted the human development index that incorporates literacy, income, and life expectancy.COVID-19 has severely impacted women’s reproductive health. Unintended pregnancies, abortions, and maternal mortality have increased as a consequence of the pandemic. The demand for services, especially nutritional services, child immunizations, and family planning services was not met. Research shows that sexual and gender-based violence increased during the pandemic. Mental health problems also increased. All these problems affected women disproportionately. The impact of stigma on women’s health is discussed. Its effect on LGBT communities is underscored. The suicide rate in India was higher than that in other countries in South-East Asia even before the pandemic. COVID-19 exacerbated this problem.The author suggests that the government should support disadvantaged communities including the LGBTQ community by transferring leased assets as an eligible collateral for working capital loans. It is recommended that relief packages for COVID-19 should be reworked so they are gender responsive.COVID-19 is threatening the gains made by India to increase women’s education, livelihood opportunities, and labor-force participation. It is also affecting women’s physical and mental health. The author argues for strengthening women’s agency, a critical imperative for countering these problems.
4
"Freshwater, Fish and the Future: Proceedings of the Global Cross-Sectoral Conference." In Freshwater, Fish and the Future: Proceedings of the Global Cross-Sectoral Conference, edited by N. Nibedita Palita, Ananthan P. Shanmugam, Debabrata Panda, and Ramasubramanian Vaidhyanathan. American Fisheries Society, 2016. http://dx.doi.org/10.47886/9789251092637.ch15.
Full textAbstract:
<em>Abstract</em> .—A field study was conducted to understand the livelihoods and poverty incidence among fishers and nonfishers (farmers and farm laborers) residing around the Hirakud reservoir in Odisha State, India. About 14,500 fishers in 159 villages are dependent on Hirakud fisheries. The fishers belonged to several socially diversified groups, including traditional fishing castes (42%) and agricultural and artisanal castes. Both fisher and nonfisher households had diversified occupational profiles. The literacy rate among fishers was 62%, as compared to nonfishers (83%). While housing, per se, did not differ, basic amenities (sanitation, electricity, and drinking water) were far better among nonfishers and correlated significantly with higher educational status and expenditures for health and well-being. Forty-two percent of fishers belonged to the fishing caste and most of the nonfishers (74%) belonged to other castes (i.e., not part of the fishing, agriculture, or artisanal caste). Inequality and poverty studies revealed that fishers were poorer than nonfishers as per both the standards of India’s Planning Commission and the World Bank. This finding was also supported by the results of a poverty gap index and a Watts index, which highlighted a greater depth of poverty among fishers than nonfishers. The incidence of extreme poverty was 21% among fishers and 3% among nonfishers when using the cut-off per capita expenditure of purchasing power parity (PPP) US$1.25/d, and the incidence rose to 64% and 34%, respectively, when the cut-off line is PPP $2/d. Interestingly, as per Gini index values, income inequality was greater among nonfishers (0.215) and the average rural Indians (0.339) than the fishers (0.158).
5
"Freshwater, Fish and the Future: Proceedings of the Global Cross-Sectoral Conference." In Freshwater, Fish and the Future: Proceedings of the Global Cross-Sectoral Conference, edited by N. Nibedita Palita, Ananthan P. Shanmugam, Debabrata Panda, and Ramasubramanian Vaidhyanathan. American Fisheries Society, 2016. http://dx.doi.org/10.47886/9789251092637.ch15.
Full textAbstract:
<em>Abstract</em> .—A field study was conducted to understand the livelihoods and poverty incidence among fishers and nonfishers (farmers and farm laborers) residing around the Hirakud reservoir in Odisha State, India. About 14,500 fishers in 159 villages are dependent on Hirakud fisheries. The fishers belonged to several socially diversified groups, including traditional fishing castes (42%) and agricultural and artisanal castes. Both fisher and nonfisher households had diversified occupational profiles. The literacy rate among fishers was 62%, as compared to nonfishers (83%). While housing, per se, did not differ, basic amenities (sanitation, electricity, and drinking water) were far better among nonfishers and correlated significantly with higher educational status and expenditures for health and well-being. Forty-two percent of fishers belonged to the fishing caste and most of the nonfishers (74%) belonged to other castes (i.e., not part of the fishing, agriculture, or artisanal caste). Inequality and poverty studies revealed that fishers were poorer than nonfishers as per both the standards of India’s Planning Commission and the World Bank. This finding was also supported by the results of a poverty gap index and a Watts index, which highlighted a greater depth of poverty among fishers than nonfishers. The incidence of extreme poverty was 21% among fishers and 3% among nonfishers when using the cut-off per capita expenditure of purchasing power parity (PPP) US$1.25/d, and the incidence rose to 64% and 34%, respectively, when the cut-off line is PPP $2/d. Interestingly, as per Gini index values, income inequality was greater among nonfishers (0.215) and the average rural Indians (0.339) than the fishers (0.158).
6
Kakwani, Nanak, and Hyun H. Son. "Multidimensional Poverty." In Economic Inequality and Poverty, 202–24. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198852841.003.0008.
Full textAbstract:
Abstract There is now a widespread consensus that poverty is multifaceted, reflecting deprivation people suffer in many aspects of life. The literature on measuring multidimensional poverty has expanded rapidly in recent times. This chapter carefully reviews the development of multidimensional poverty. Although the literature on multidimensional poverty has made considerable progress in identifying the poor and developing multifaceted poverty indices, too many unresolved issues remain to be considered. The chapter has provided a comprehensive discussion of many unresolved problems. The literature has developed many multidimensional measures, making many arbitrary assumptions that lead to an arbitrary degree of poverty. The chapter proposes an alternative analysis of multifaceted poverty requiring a lesser degree of arbitrariness. The inequity index developed in this chapter would be an indispensable tool in formulating public policies to reduce multidimensional poverty. The chapter presents the illustration of multidimensional poverty in Brazilian municipalities for 2010. The empirical estimates suggest the analysis of ill-being (not well-being) indicators divided into four broad dimensions: health, education, living conditions, and labor market activities. The ill-being indicators fall into a mixture of both output and outcome indicators. The chapter concludes that it would be meaningless to aggregate them into a composite poverty index. From the policy perspective, it is also more insightful to analyze poverty in various dimensions instead of constructing a composite index.
7
"Index." In Poverty in Education Across the UK, 167–74. Policy Press, 2020. http://dx.doi.org/10.2307/j.ctv15wxnbp.14.
Full text
8
"Index." In Poverty in Education Across the UK, 167–74. Bristol University Press, 2020. http://dx.doi.org/10.51952/9781447330899.bm001.
Full text
9
Radulescu, Irina Gabriela, Mirela Clementina Panait, Madalina Albu, and Mihaela Ciopi Oprea. "Is the EU Moving Towards Sustainable Development?" In Socio-Economic Development, 612–22. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7311-1.ch032.
Full textAbstract:
In accordance with its agenda, the EU wants to include actively every European citizen in society taking into consideration some challenges like poverty, gender inequalities, social exclusion or long-term unemployment. The economic crisis has influenced the indicators of social exclusion such as monetary poverty and living conditions, education and the access to labour market. The index “risk of poverty or social exclusion” is influenced by certain characteristics of the population (education level of parents, country of birth, degree of urbanization, activity, household type, age, tenure status, citizenship, sex etc.) being able to identify the most disadvantaged subgroups of it. This paper analyzes the evolution of this index in the European Union, taken in consideration its determinants.
10
"Author Index." In Education, Poverty and the World Bank, 199–201. Brill | Sense, 2006. http://dx.doi.org/10.1163/9789087901172_011.
Full textConference papers on the topic "Educational poverty index"
1
Li, Qian. "Analysis of the Effect of China’s Educational Fiscal Expenditure on Poverty Reduction Based on FGT Index*." In Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/aebmr.k.191225.014.
Full text
2
Yan, Zhang, Feng Lu, Tang Ting, and Deng Xu. "Measurement and Evaluation of Regional Differences in Educational Poverty Alleviation Performance in Western China Based on Improved Entropy-Integrated Index Model." In 2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM). IEEE, 2021. http://dx.doi.org/10.1109/icekim52309.2021.00075.
Full text
3
Gökçek Karaca, Nuray, and Berrin Gökçek. "Multi-dimensional Poverty and Human Development in Turkey and Transition Economies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00866.
Full textAbstract:
The main objective of this research is to determine and evaluate the multidimensional poverty and human development in Turkey in comparison with the Central and Eastern Europe (CEE) countries and Commonwealth of Independent States (CIS) countries which is called Transition Economies. For this purpose, in this study, human development and multidimensional poverty in Turkey were examined in comparison with the Central and Eastern Europe (CEE) countries and Commonwealth of Independent States (CIS) countries. In this study, carried out through comparative relation scanning model and literature model, the sample group was established the Central and Eastern Europe (CEE) countries and Commonwealth of Independent States (CIS) countries with Turkey. The research data was collected through Human Development Index (HDI) and Multidimensional Poverty Index (MPI) developed by UNDP. The findings from this study revealed that CEE countries which are the member of EU have higher human development rate than EU candidate countries and CIS countries. In addition, Turkey has the highest rate of GNI per capita and poverty as well as the lowest education index in comparison with the other EU candidate countries. In this study, these results is tried to be analyzed in the lights of index data and potential effects of the existing differences between countries.
4
Carta, Giuseppe. "The challenge of the last few years: planning against poverty, microfinance." In Virtual City and Territory. Barcelona: Centre de Política de Sòl i Valoracions, 2016. http://dx.doi.org/10.5821/ctv.8152.
Full textAbstract:
The last ten years have witnessed a heightened interest in infrastructure in both developed and developing countries, with emphasis on the financial crisis in developed countries, and the recurring attention on growth and poverty reduction. An edition of the UN Report underlines the choices available to policymakers across the range of economic, social, cultural and political challenges that are needed to bridge the urban divide.
The term “inequality” has many different meanings. Shortly we describe how an indicator of economic well-being is distributed over a particular population. The coefficient or index is commonly used for measuring the grade of difference in size, income, wealth, costs, etc. Gini’s Coefficient (1921). Obviously the index only considers one aspect of difference, that of the distribution of income. The effect of social services which are administered directly, as for example, the Health Service and Education, even though they are extremely important for a substantial equality of rights and opportunities, is not taken into account.
As a group of eminent planning experts recognized in the Global Report on Human Settlements 2009: “Among the most significant challenges that urban planning has to address in the next few decades are increasing poverty and inequality, as well as the rapidly expanding urban sector.” Urbanization, therefore, does indeed play a positive role in overall poverty reduction, particularly where supported by well-adapted policies.
5
Rimawan, M., Alwi Alwi, Ismunandar Ismunandar, and Fenny Aryani. "Village Fund Allocation on Economic Growth, Human Development Index and Poverty." In 1st Annual Conference on Education and Social Sciences (ACCESS 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200827.085.
Full text
6
Fırat, Emine, Emre Ürün, and Aytaç Aydın. "The Relationship of Development and Education: An Evaluation of Turkey’s Education Level by Human Development Index." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01411.
Full textAbstract:
The unfair distribution of income in underdeveloped countries causes the capital to be gathered in the hands of a certain party and thus preventing it from spreading to the society and although national income in these countries is high, the level of development being low creates problems. Education directly relates to issues related to the concept of development such as developing individuals’ social points of view, obtaining the individual’s skills and abilities, shaping the socio-cultural structure, environment, healthy life and guaranteeing rights and freedom.
The fact that frontiers disappeared together with the globalizing world and sharing the incomes in international markets have brought about some problems. The emergence of human-centered approach in development in 1970 and after has been an important opportunity for all societies. Human development has led the way to investigate concepts such as poverty, income equality, health and education and to take action to remove the deficiencies in the aforementioned area.
Education is inevitable for development. In this context, Turkey’s education level will be evaluated in terms of the relationship of human development and education for development. In this study the indicators of Human Development Index (HDI) prepared by UDP annually and Education Index (EI), the sub-index of HDI, for Turkey have been taken into consideration and it has been aimed to determine Turkey’s level of development in education. It was determined in the study that Turkey’s level of human development is not satisfactory and that indicators for education were low.
7
Nurlina, Safuridar, and Ziaul Maula. "Analysis of Inclusive Economic Development Index and Poverty in Aceh Province, Indonesia." In Sixth Padang International Conference On Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (PICEEBA 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210616.020.
Full text
8
Stevenson, Phillip D., Christopher A. Mattson, Kenneth M. Bryden, and Nordica A. MacCarty. "Towards a Universal Social Impact Metric for Engineered Products That Alleviate Poverty." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67584.
Full textAbstract:
More than ever before, engineers are creating products for developing countries. One of the purposes of these products is to improve the consumer’s quality of life. Currently, there is no established method of measuring the social impact of these types of products. As a result, engineers have used their own metrics to assess their product’s impact, if at all. Some of the common metrics used include products sold and revenue, which measure the financial success of a product without recognizing the social successes or failures it might have. In this paper we introduce a potential metric, the Product Impact Metric (PIM), which quantifies the impact a product has on impoverished individuals — especially those living in developing countries. It measures social impact broadly in five dimensions: health, education, standard of living, employment quality, and security. The PIM is inspired by the Multidimensional Poverty Index (MPI) created by the United Nations Development Programme. The MPI measures how the depth of poverty within a nation changes year after year, and the PIM measures how an individual’s quality of life changes after being affected by an engineered product. The Product Impact Metric can be used to predict social impacts (using personas that represent real individuals) or measure social impacts (using specific data from products introduced into the market).
9
Gutium, Tatiana. "Approaches to Measurement of Well-being: Case of the Republic of Moldova." In International Conference Innovative Business Management & Global Entrepreneurship. LUMEN Publishing, 2020. http://dx.doi.org/10.18662/lumproc/ibmage2020/20.
Full textAbstract:
The development strategy of a modern state is oriented towards ensuring economic growth, increasing the well-being of citizens and reducing the level of poverty. The COVID-19 pandemic had a negative impact on national economies, including the economy of the Republic of Moldova. That is why, the assessment of well-being, identify impact factors, the elaboration of recommendations for increasing well-being become current. Contemporary approaches to quantifying well-being focus on both the economic and social spheres. In this study are identified the weaknesses and strengths of the well-being indices, the dynamics of two composite welfare indices have been analyzed. In the research process, the influence of different factors was identified and their influence on the well-being of citizens and living standards was estimated. Applying the method of correlation and regression analysis, and using the software Eviews 9 were developed two multifactorial linear regression models: a model of the well-being and a model of living standard of population of the Republic of Moldova. Based on the analysis of the pillars of the Legatum Prosperity Index and the components of the Social Progress Index, priority sectors were identified, such as: health care, education, economic quality, enterprise conditions, environmental quality. At present, it is necessary to promote strategies to ensure sustainable economic growth, which will inevitably lead to an increase in the well-being of the local population.
10
Grzelak, Aleksander. "Income Inequality and Food Security in the Light of the Experience of the OECD Countries." In Contemporary Issues in Business, Management and Education. Vilnius Gediminas Technical University, 2017. http://dx.doi.org/10.3846/cbme.2017.070.
Full textAbstract:
The main aim of this article is evaluate the relationships between income inequality and food security in the light of the experiences of the OECD countries. Understanding the problems of inequality of income and food security is one of the main challenge for economic and social development of the contemporary world. In the part of empirical studies one has used a data from the selected OECD countries by prism of the Gini coefficient of income distribution and relative poverty. In turn, food security is presented from the perspective of the global index of food security (Global Food Security Index), which was developed at the request of DuPont by the Economist Intelligence Unit (EIU). In the case of empirical verification one has used regression analysis and cluster (agglomeration) for typing of the studied countries. Time scope of analysis refers to the period 2010–2015. It was stated that there is a considerable variation in the level of food security, and especially income inequality between countries. This is a consequence of both the differences in the level of economic development, as well as the model of functioning of the economy. A relationships between income inequality and food security are complex and ambiguous. A clearer regularities can be seen in the case of income inequality and food security in the dimension related to the economic affordability of food price. This is due to the fact that issues related to food security are mainly connected with low level of income. In turn, the cluster analysis made it possible to distinguish three groups of countries with different characteristics in terms of income inequality and food security.
Reports on the topic "Educational poverty index"
1
Martin, Matthew, Jo Walker, Kwesi W. Obeng, and Christian Hallum. The West Africa Inequality Crisis: Fighting austerity and the pandemic. Development Finance International, Oxfam, October 2021. http://dx.doi.org/10.21201/2021.8045.
Full textAbstract:
The COVID-19 pandemic has revealed and worsened the depth of inequality in West Africa. It has pushed millions into poverty. There is no end in sight due to the obscene global vaccine inequality, which means that less than 4% of West Africans had been fully vaccinated against COVID-19 as at September 2021, compared with 52% in the United States and 57% in the European Union. In 2021, when COVID-19 infections are rising in West Africa, the critical support health and socioeconomic programmes put in place by most governments in 2020 are being rolled back and replaced with austerity. Many governments are following advice from the IMF and World Bank, reminiscent of the severe cuts in spending imposed under the structural adjustment policies of the 1980s and 1990s. However, as this paper argues, the pandemic offers West African governments a once-in-a-generation opportunity to invest heavily in inequality-busting policies by boosting public spending (especially on healthcare, education and social protection), making tax systems more progressive, and tackling joblessness and precarious work. This report uses the Commitment to Reducing Inequality Index (CRII) framework devised by Oxfam and Development Finance International to assess the policies of West African governments. Visit the CRI Index website to learn more: www.inequalityindex.org.