Academic literature on the topic 'The poverty gap and the squared poverty gap index'
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Journal articles on the topic "The poverty gap and the squared poverty gap index"
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Acharya, Krishna Prasad. "Analysis of Poverty Profile by Type of House of Households in Nepal." Management Dynamics 21, no. 1 (February 28, 2018): 1–4. http://dx.doi.org/10.3126/md.v21i1.26993.
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This study focuses on the Poverty Profile by type of house of Households in Nepal among 5,988 households of Nepal. It is based on the Nepal Living Standards Survey-III 2010/11 cross-sectional data. The data were used to analyze descriptive statistics including poverty profiles. The FGT poverty index (index proposed by Foster, Greer and Thorbecke) is employed to examine the head count rate or poverty incidence, poverty gap and severity poverty of Nepal. It reveals that 25.2% of the sample households live below the poverty line (Rs.19261 per individual per year) with an average poverty gap and squared poverty gap of 5.43% and 1.81 % respectively. Households living in Pakki and Non-Pakki houses are 0.8 and 52.4 percent average poor and 0.2 and 1.7 percent core poor respectively.
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Acharya, Krishna Prasad. "Analysis of Poverty Profile by Type of House of Households in Nepal." Management Dynamics 22, no. 1 (December 31, 2019): 7–10. http://dx.doi.org/10.3126/md.v22i1.30231.
Full textAbstract:
This study focuses on the Poverty Profile by type of house of Households in Nepal among 5,988 households of Nepal. It is based on the Nepal Living Standards Survey-III 2010/11 cross-sectional data. The data were used to analyze descriptive statistics including poverty profiles. The FGT poverty index (index proposed by Foster, Greer and Thorbecke) is employed to examine the head count rate or poverty incidence, poverty gap and severity poverty of Nepal. It reveals that 25.2% of the sample households live below the poverty line (Rs.19261 per individual per year) with an average poverty gap and squared poverty gap of 5.43% and 1.81 % respectively. Households living in Pakki and Non-Pakki houses are 0.8 and 52.4 percent average poor and 0.2 and 1.7 percent core poor respectively.
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Acharya, Krishna Prasad. "Analysis of Poverty Profile by Type of House of Households in Nepal." Management Dynamics 22, no. 2 (December 31, 2019): 7–10. http://dx.doi.org/10.3126/md.v22i2.30231.
Full textAbstract:
This study focuses on the Poverty Profile by type of house of Households in Nepal among 5,988 households of Nepal. It is based on the Nepal Living Standards Survey-III 2010/11 cross-sectional data. The data were used to analyze descriptive statistics including poverty profiles. The FGT poverty index (index proposed by Foster, Greer and Thorbecke) is employed to examine the head count rate or poverty incidence, poverty gap and severity poverty of Nepal. It reveals that 25.2% of the sample households live below the poverty line (Rs.19261 per individual per year) with an average poverty gap and squared poverty gap of 5.43% and 1.81 % respectively. Households living in Pakki and Non-Pakki houses are 0.8 and 52.4 percent average poor and 0.2 and 1.7 percent core poor respectively.
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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.
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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.
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Nguyen Hoang, Bao. "Where does Pro-Poor Growth Occur in Vietnam?" Journal of Asian Business and Economic Studies 22, no. 1 (January 1, 2015): 20–41. http://dx.doi.org/10.24311/jabes/2015.22.1.03.
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Although Vietnam’s economic growth and poverty reduction for almost three decades have been remarkable, growth for poverty reduction is unequally distributed across the nation. The paper examines the cause of poverty and the impact of provincial economic growth on poverty alleviation, using the data of 63 provinces in Vietnam. The elasticity of poverty with respect to provincial economic growth is employed (the elasticities of headcount index, poverty gap index, and squared poverty index with respect to provincial economic growth) to identify the provinces where pro-poor growth has occurred. The elasticity of poverty with respect to provincial Gini coefficient is examined to identify the impact of expenditure inequality on poverty. The simultaneous equation system is estimated to analyze not only direct and indirect effects of the related variables, but also the causality effect between economic growth and the poverty elasticity with respect to both growth and the Gini coefficient.
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Sirag, Abdalla, and Norashidah Mohamed Nor. "Out-of-Pocket Health Expenditure and Poverty: Evidence from a Dynamic Panel Threshold Analysis." Healthcare 9, no. 5 (May 3, 2021): 536. http://dx.doi.org/10.3390/healthcare9050536.
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The current study investigated the association between out-of-pocket health expenditure and poverty using macroeconomic data from a sample of 145 countries from 2000 to 2017. In particular, it was examined whether the relationship between out-of-pocket health expenditure and poverty was contingent on a certain threshold level of out-of-pocket health spending. The dynamic panel threshold method, which allows for the endogeneity of the threshold regressor (out-of-pocket health expenditure), was used. Three indicators were adopted as poverty measures, namely the poverty headcount ratio, the poverty gap index, and the poverty gap squared index. At the same time, out-of-pocket health expenditure was measured as a percentage of total health expenditure. The results showed the validity of the estimated threshold models, indicating that only beyond the turning point, which was about 29 percent, that out-of-pocket health spending led to increased poverty. When heterogeneity was controlled for in the sample, using the World Bank income classification, the findings showed variations in the estimated threshold, with higher values for the low- and lower-middle-income groups, as compared to the high-income group. For the lower-income groups, below the threshold for out-of-pocket health expenditure, it had a positive or insignificant effect on poverty reduction, while it led to higher poverty above the threshold. Further, the sampled countries were divided into regions, according to the World Health Organization. Generally, improving health care systems through tolerable levels of out-of-pocket health expenditure is an inevitable step toward better health coverage and poverty reduction in many developing countries.
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Mohanty, Sanjay K., Dipti Govil, Rajesh K. Chauhan, Rockli Kim, and S. V. Subramanian. "Estimates of Poverty and Inequality in the Districts of India, 2011–2012." Journal of Development Policy and Practice 1, no. 2 (June 28, 2016): 142–202. http://dx.doi.org/10.1177/2455133316642338.
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Though the Census of India and large-scale demographic surveys have bridged the data gap on key demographic and health parameters, estimates on poverty and inequality remain deficient for the districts of India. The estimates on poverty and inequality indices across the states of India conceal large variations among districts. We use an innovative approach to provide consumption-based estimates of poverty and inequality indices in the districts of India by pooling the 66th and 68th rounds of consumption expenditure carried out by the National Sample Survey. The new official poverty line of 2009–2010 and 2011–2012 as recommended by the Rangarajan Committee and adopted by the Government of India is used in the estimation of poverty. A set of poverty and inequality indices, the poverty head count ratio, poverty gap square, the Gini index, Theil index and mean log deviation (MLD) are used to estimate poverty and inequality indices for 623 of the 640 districts in India. Estimates of poverty are obtained by pooling the estimates of 2009-10 and 2011-12. Results suggest wide variations in the level, depth and incidence of poverty among the districts of India irrespective of size, stage and governance in the states. The pattern of inequality is different from that of poverty; it is higher in districts with a higher level of development. Estimates of poverty are consistently correlated with wealth index, agricultural labour and female literacy. Among various factors, the fertility level, wealth index and the proportion of agricultural worker are significant predictors of poverty. Based on the findings, we suggest to increase the sample size to estimate consumption poverty in every alternate quinquennial survey and undertake a special round of survey in multidimensional poverty. Districts ranked low in poverty head count ratio should be accorded high priority in planning and program implementation.
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Moraes, Mayara Da Mata, Solange Regina Marin, and Carine De Almeida Vieira. "Pobreza multidimensional em Santa Catarina (2000-2010): Uma aplicação do método Alkire-Foster." Economia e Desenvolvimento 30 (November 26, 2018): 7. http://dx.doi.org/10.5902/1414650933175.
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Com o decorrer dos anos, o conceito de pobreza evoluiu da perspectiva da subsistência - que relaciona pobreza com o mínimo necessário para sobrevivência - para as necessidades básicas - que promove questões vinculadas ao atendimento de serviços como educação e saúde e para a concepção da privação relativa - que incorporou o contexto socioeconômico e o padrão de vida da sociedade em questão. Na concepção da abordagem das capacitações, que entende a privação como falta de realização de determinados funcionamentos e capacitações, entende-se pobreza como um fenômeno multidimensional. Da mesma forma, os métodos de medição de pobreza também evoluíram das linhas de pobreza para medidas como: headcount index, poverty gap index, squared poverty gap index e Sen index, Índice de Desenvolvimento Humano (IDH), Índice de Pobreza Humana (IPH) e Índice de Pobreza Multidimensional (IPM) que é baseado no método Alkire-Foster (2009). O objetivo desse estudo é aplicar o método Alkire-Foster (2009) para os municípios de Santa Catarina nos anos de 2000 e 2010. Alguns resultados revelam que a pobreza multidimensional tem diminuído no estado: a incidência de pobreza multidimensional diminuiu de 26,66% em 2000 para 15,07% em 2010.
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Okwu, Andy Titus, Rowland Tochukwu Obiakor, Timothy Chidi Obiwuru, Margret N. Kabuoh, and Emeka Okoro Akpa. "Public family spending, labour productivity, income inequality and poverty gap in the group of seven countries." Review of innovation and competitiveness 6, no. 1 (November 24, 2020): 49–77. http://dx.doi.org/10.32728/ric.2020.61/3.
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Purpose. Comparable data on distribution of family income provide reference point for determining economic performance of any country, opportunity to assess effects of income inequality and poverty drivers that are either country- or region-specific. This study analysed the effectiveness of composite indices of public spending on family benefits, labour productivity, macroeconomic performance indicators and moderating factors in reducing income inequality and poverty gap in the Group of Seven (G7) countries from 1980 to 2019. Methodology. The study employed fixed effects Least Squares regression model in panel environment within the framework of empirical econometric methodologies. The composite indices comprised public spending on family benefits in cash and kind, unemployment allowance payments, tax on personal income, labour productivity, harmonised unemployment rate, consumer price index, real GDP growth rate, GDP per capita and per hour worked, fertility rate and trade. After graphical analysis of the data, order of integration was via unit root tests. Hausman test was carried out to choose between fixed and random effects models. Subsequently, parameters of the models were estimated and evaluated for significance at the 0.05 critical level. Findings. The results showed that percentage changes in income inequality and poverty gap indices differed for same percentage change in components of the composite indices. Some variable-specific percentage changes in income inequality and poverty gap were statistically significant, while others were not. However, the overall percentage changes was statistically significant. The paper concluded that while some specific effectiveness of the explanatory variables in reducing income inequality and poverty gap was not significant, their joint effectiveness significantly reduced poverty. Therefore, it is pertinent that family-oriented fiscal policy thrusts should be strengthened and sustained so as to continually reduce income inequality and, ultimately, narrow poverty gap in the countries. Limitations. The study considered the G7 countries for a period of 40 years. The limitations were that the variables considered to influence income inequality and poverty gap in the countries were both exhaustive. Also, the results were conditioned to the method used, and different methods can alternatively be used by other researchers and the results compared with this. Originality. The study is original research paper. It has neither been published in any other peer-reviewed journal not under consideration for publication by any other journal.
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Samsam Shariat, Sayyed Jamaleddin, Asghar Zarrabi, and Masoud Taghvaei. "Analysis of the Low-Income Housing in Isfahan Metropolis." Modern Applied Science 11, no. 3 (January 26, 2017): 120. http://dx.doi.org/10.5539/mas.v11n3p120.
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Despite the importance of housing in human life, the provision of adequate and affordable housing for all people is one of the current problems of the human society because almost half of the world’s population lives in poverty and about 600 to 800 million people reside in substandard housing conditions. The present study, therefore, has been conducted in order to identify the needy groups and, too, housing the low-income groups in Isfahan City. The study is a fundamental-applied research adopting a descriptive-analytical methodology. Variables of the research are the income deciles, housing quantity developments, land and housing prices, the system of housing finance, housing status in the expenditure basket of the low-income households, the Gini coefficient of housing costs, the effective demand for housing in the income deciles considering the area of infrastructure and the access to housing index. The findings reveal that the year 2008 had the highest increase in the housing prices with an increase as 20.4% and the lowest one refers to the year 2010 with an increase as 8.6%. The Gini coefficient of housing cost for urban households shows a downtrend until 2005 and from 2006 onward, the gap has started to increase. Regarding access to the housing index, the results show that in 2003 the low income decile could afford one square meter of housing by saving the total household income for 75 days; whereas in 2011, this degree raised to 206 days. What is noteworthy here is the deep gap between the high-income and low-income deciles in the saving days for one square meter, which differs 10.5 times between the first decile and the tenth decile.
Dissertations / Theses on the topic "The poverty gap and the squared poverty gap index"
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Sepahvand, Mohammad. "The Analysis of Rural Poverty in Ethiopia : regarding the three measurements of poverty." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-107470.
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This paper analyses rural poverty in Ethiopia using the 1997 round of household survey data from the Ethiopian Rural Household Survey. Poverty measurements are estimated using a consumption based two-step procedure through the implementation of the Foster-Greer-Thorbecke model. The results indicate that the incidence of rural poverty is high for villages that have lower conditions for agriculture. These findings imply that poverty reduction can be possible through effective policies toward improving the conditions for agriculture in the rural areas. Moreover, examination of the connection between different socioeconomic characteristics and poverty indicates that households consisting of household heads with a higher age and availability of farmland are relatively less poor. However, households where the household head has completed at least primary school suffer from most incidence of poverty. Furthermore, this study use three different definitions of poverty in connection to well-being to determine poverty. It is possible to state that these measurements are different modifications of each other with common variables and follow the same trend. The results of the paper may increase our understanding of the nature of rural poverty in Ethiopia and help in providing different poverty reducing policies, for the specific survey round.
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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.
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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
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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.
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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
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Mofokeng, Tshwinyane Jayson. "The role of the agricultural and agro-processing sectors in reducing unemployment and poverty in the townships of Lesedi / Tshwinyane Jayson Mofokeng." Thesis, North-West University, 2005. http://hdl.handle.net/10394/2359.
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Mokoena, Temeki Daniel. "A critical analysis of community-driven development projects aimed at poverty alleviation in Evaton West / by Temeki Daniel Mokoena." Thesis, North-West University, 2004. http://hdl.handle.net/10394/2416.
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Mahembe, Edmore. "Development aid and its impact on poverty reduction in developing countries : a dynamic panel data approach." Thesis, 2019. http://hdl.handle.net/10500/26490.
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Foreign aid has been used on the one hand by donors as an important international relations
policy tool and on the other hand by developing countries as a source of funds for development.
Since its inception in the 1940s, foreign aid has been one of the most researched topics in
development economics. This study adds to this growing aid effectiveness literature, with a
particular focus on the under-researched relationship between foreign aid and extreme poverty.
The main empirical assessment is based on a sample of 120 developing countries from 1981 to
2013. The study had two main objectives, namely: (i) to estimate the impact of foreign aid on
poverty reduction and (ii) to examine the direction of causality between foreign aid and poverty
in developing countries. From these two broad objectives, there are six specific objectives,
which include to: (i) examine the overall impact of foreign aid (total official development
assistance) on extreme poverty, (ii) investigate the impact of different proxies of foreign aid on
the three proxies of extreme poverty, (iii) assess whether political freedom (democracy) or
economic freedom enhances the effectiveness of foreign aid, (iv) compare the impact of foreign
aid on extreme poverty by developing country income groups, and (v) examine the direction
of causality between extreme poverty and foreign aid. To achieve these objectives, the study
employed two main dynamic panel data econometric estimation methods, namely the systemgeneralised
method of moments (SGMM) technique and the panel vector error correction
model (VECM) Granger causality framework. While the SGMM was used to assess the impact
of foreign aid on extreme poverty, the panel VECM Granger causality was used to examine the
direction of causality between foreign aid poverty. The SGMM was used because of its ability
to deal with endogeneity by controlling for simultaneity and unobserved heterogeneity,
whereas the panel VECM was preferred because the variables were stationary and cointegrated.Economics
D. Phil. (Economics)
Book chapters on the topic "The poverty gap and the squared poverty gap index"
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"Poverty Gap Index." In Encyclopedia of Quality of Life and Well-Being Research, 4975. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_103165.
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Chakrabarty, Nilanjana, and Dibyojyoti Bhattacharjee. "Assessing Robustness of Asian Countries Ranking." In Wealth Creation and Poverty Reduction, 139–53. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1207-4.ch008.
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The term ‘digital divide' refers to the gap between individuals, households, businesses and geographic areas with regard to both their opportunities to access Information and Communication Technologies (ICT) and to their use of Internet. Composite indicators are regularly used for measuring the divide and in benchmarking the country's performance. But often it creates controversies regarding the subjectivity that is connected with their construction methodology more specifically the weighting and aggregation issues. The paper attempts to assess the robustness of the ranks generated by the composite digital divide index using different weighting and aggregation schemes in case of Asian countries. Here four weighting techniques Iyengar-Sudarshan Method, Benefit of Doubt Method, Principal Component Analysis and Unobserved Component Model and three techniques of aggregation viz. Linear Aggregation, Geometric Aggregation and Weighted Displaced Ideal Method are used for mutual comparison.
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"Gender Inequality and Sustainable Development." In Advances in Public Policy and Administration, 132–45. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0969-2.ch007.
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The chapter argues that inequality between men and women has led to the gap in income and poverty for women. Gender inequality and women's empowerment have, therefore, become one of the 17 pillars of the Sustainable Development Goals Agenda 2030. This chapter, therefore, examines the global performances on gender inequality index (GII) and the Sustainable Development Goals Agenda 2030, regional performance and the Sustainable Development Goals, the top best performers on gender gap parity versus the worst performers on gender gap parity, and sub-national performances and global rankings. Also, this chapter examines the challenges of achieving gender equality by 2030 along with policy options for achieving gender equality in the year 2030.
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Woodhouse, Barbara Bennett. "Children of the Great American Recession." In The Ecology of Childhood, 131–50. NYU Press, 2020. http://dx.doi.org/10.18574/nyu/9780814794845.003.0007.
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Chapter seven examines the effects of the Great Recession on U.S. children. It opens with a discussion of various methods for measuring national well-being. Each measure, from Gross Domestic Product and the Global Competitiveness Index to the Human Development Index, the GINI Index of inequality, reflects different priorities. In measuring changes in child well-being, poverty is a key factor. The author reviews leading methods for measuring child poverty, including absolute versus relative benchmarks, market child poverty versus poverty after government benefits, the poverty gap between children and other groups, and boundaries between poverty and extreme poverty. In measuring changes in child well-being, in addition to poverty, researchers study food insecurity, housing instability, health-care gaps, and child maltreatment. In each category, the author uses a comparative lens to explore the long term effects of recession and the national response in the U.S. and Europe. At the macro level, national “politics”—defined as the authoritative allocation of values and distribution of rewards in wealth, power, and status—shaped the government response. The author documents the U.S. government’s failure to address rising levels of child poverty, malnutrition, homelessness, infant and maternal mortality, and child maltreatment associated with the recession.
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"Fighting Income Inequality in Nigeria and Social Exclusion." In Advances in Public Policy and Administration, 170–81. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0969-2.ch009.
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The chapter examines the income inequality and social exclusion in Nigeria. The gap between the haves and have-nots has become an issue of concern in Nigeria. This chapter, therefore, seeks to examine a methodical approach for measuring inequality in Nigeria; Nigeria's ranking in human development index (between 1990 and 2017); trends in inequality, poverty, unemployment, and life expectancy from 1980 to 2017; and the income inequality in Nigeria relative to other Sub-Saharan African countries along with sex disaggregated HDI relative to other Sub-Saharan African countries and the implications to social policy reforms.
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"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.
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<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).
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"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.
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<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).
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Lavopa, Alejandro, and Adam Szirmai. "Structural Change as a Modernization Process." In New Perspectives on Structural Change, 217–39. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198850113.003.0011.
Full textAbstract:
This chapter analyses economic development through the lens of a newly developed index: the structural modernization index. This index combines two dimensions that have been widely invoked as prime drivers of economic development namely, structural change and technological catch-up. For each country, the index calculates the productivity gap with respect to the world frontier in activities that typically represent the modern sector of the economy and weights this relative productivity by the employment share of those activities in the total labour force. The index is calculated for a sample of 115 countries over the period 1960–2014. It is used to explore the relationship between structural modernization and the ability to escape poverty and middle-income traps.
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Ignjatović, Miroljub, and Maša Filipovič Hrast. "Slovenian labour market policies under austerity: narrowing the gap between the well- and the less well‑protected in the labour market?" In Labour Market Policies in the Era of Pervasive Austerity. Policy Press, 2018. http://dx.doi.org/10.1332/policypress/9781447335863.003.0013.
Full textAbstract:
The economic crisis stimulated several reforms of the Slovenian labour market. In this chapter we present the major labour market policy changes, with emphasis on the period after 2010. These changes are also presented in relation to the retrenchment/expansion of policies, the adoption of activation and flexicurity, and their consequences for the living standards of the most vulnerable groups. The objective of labour market changes seems to be to increase flexibility and to implement activation (and social investment) more fully, as well as to improve the position of the most vulnerable groups on the labour market. Despite that, retrenchment has also been evident. The changes in labour regulations in 2014 reduced the employment protection legislation index for regular contracts, and the cuts in unemployment benefits, along with the changes in the social security system, have affected the unemployed, who remain among the groups most at risk of poverty.