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Articoli di riviste sul tema "Poverty"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 1 marzo 2025

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1

Kingdon, Geeta Gandhi, e John Knight. "Subjective well-being povertyvs. Income poverty and capabilities poverty?" Journal of Development Studies 42, n. 7 (ottobre 2006): 1199–224. http://dx.doi.org/10.1080/00220380600884167.

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2

KABUL, LALU MUH. "DINAMIKA DAN POLA KEMISKINAN DI KABUPATEN LOMBOK TIMUR". GANEC SWARA 14, n. 1 (6 marzo 2020): 431. http://dx.doi.org/10.35327/gara.v14i1.118.

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This study discusses poverty dynamicsand its pattern wherethe significance of the study is to accelerate implementation of poverty alleviation effectively. The study method used is mixed method, quantitative and qualitative. The result of study in 2016-2018 indicatedthat number of people who moved out poverty (mover) larger than who move into poverty (faller).Meanwhile, povery pattern indicated that number of people who experienced transient poverty (50.12 percent) larger than number of people who experienced chronical poverty (48.63 percent). The implication of the study is not only number of people changed each year, but also their poverty status. Therefore, up dating of povery data must be carried out regularly each year

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3

Parmawati, Rita, Soemarno Soemarno, Maryunani Maryunani e Agung Sih Kurnianto. "ANALYSIS OF POVERTY IN FOREST SURROUNDING COMMUNITIES BY SUSTAINABLE LIVELIHOOD APPROACH". Jurnal Antropologi: Isu-Isu Sosial Budaya 20, n. 1 (20 giugno 2018): 1. http://dx.doi.org/10.25077/jantro.v20.n1.p1-15.2018.

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Poverty in forests surrounding communities shows a contrast between wealth of forest resources and poverty. The poverty of forests surrounding communities is seen as inefficient development to rural needs in general and forest management in particular. This study aims to analyze the factors affecting poverty, the relevance and Sustainable Livelihood Approach in poverty. This research was conducted in Argosari Village, Jabung Subdistrict and Mentaraman Village, Donomulyo District, Malang Regency. Sustainable livelihood approach is applied which adapted on five elements: human, natural, physical, social and financial asset. The sample was determined by proportional random sampling method. Participatory Rapid Appraisal (PRA) were used in this study. Quantitative approach in this study using descriptive analysis and Structural Equation Modeling (SEM). Poverti Gap 2 indicator (the number of family member) has the greatest contribution to Argosari poverty. The High Consumption 3 indicator (the number of new clothing in a year that can be bought) has the smallest contribution. Significantly, eight indicators have established in Mentaraman, which is indicated by a p-value less than 5% (0.05). Based on the size of the standardize coefficient, it is found that the Poverti Gap 2 indicator (the number of family member) has the greatest contribution to Mentaraman poverty. Keywords : Argosari, Forest, Mentaraman, Poverty, SLA

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Dr. P. JAYASUBRAMANIAN, Dr P. JAYASUBRAMANIAN, e N. SASI KUMAR. "Rural Poverty& Poverty Allivation Programmes in India". Indian Journal of Applied Research 4, n. 8 (1 ottobre 2011): 607–9. http://dx.doi.org/10.15373/2249555x/august2014/160.

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5

Lemann, Nicholas, Sheldon Danziger, Peter Gottschalk, Amartya Sen e Erik Olin Wright. "The Poverty of Poverty". Transition, n. 71 (1996): 132. http://dx.doi.org/10.2307/2935277.

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6

Chaudhry, Imran Sharif, Shahnawaz Malik e Asma Imran. "Urban Poverty and Governance: The Case of Multan City". Pakistan Development Review 45, n. 4II (1 dicembre 2006): 819–30. http://dx.doi.org/10.30541/v45i4iipp.819-830.

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The issue of poverty is as old as economic development. A significant quantitative research on poverty has been undertaken for many decades all over the world in general and in developing countries in particular. However the issue of urban poverty has not been addressed effectively. Nevertheless urban poverty has until recently, been low on the agenda of development policy not only in the developing world but also in Pakistan because of dominant perception of urban bias and the need to counter this with a focus on rural development policy. The analysis of urban poverty is as necessary as the overall level of poverty in the country. There are many causes and determinants of urban poverty1 but distribution and management of economic and social resources in poverty reduction cannot be ignored. It is internationally recognised that poverty reduction and governance both are interrelated. Bad governance has made poverty reduction efforts ineffective [Blaxall (2000), Eid (2000) and Gupta, et al. (1998)], while poverty reduction projects provide fertile ground for corruption.2 The consensus emerges from this line of thinking is that good governance is necessary and effective for poverty alleviation efforts.

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7

Grimes, Paul W., e Robert H. Haveman. "Poverty Policy and Poverty Research". Southern Economic Journal 55, n. 1 (luglio 1988): 233. http://dx.doi.org/10.2307/1058880.

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8

SAUNDERS, PETER, e YUVISTHI NAIDOO. "Poverty, Deprivation and Consistent Poverty". Economic Record 85, n. 271 (dicembre 2009): 417–32. http://dx.doi.org/10.1111/j.1475-4932.2009.00565.x.

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9

Pagani, Linda S. "How does poverty beget poverty?" Paediatrics & Child Health 12, n. 8 (ottobre 2007): 693–97. http://dx.doi.org/10.1093/pch/12.8.693.

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10

Mead, Lawrence M. "The Poverty of Poverty Research". Academic Questions 25, n. 4 (23 ottobre 2012): 539–45. http://dx.doi.org/10.1007/s12129-012-9322-7.

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11

Schefer, Krista Nadakavukaren. "Poverty and Investment Law: Starting the Discussion". Journal of World Investment & Trade 15, n. 5-6 (18 novembre 2014): 908–28. http://dx.doi.org/10.1163/22119000-01506007.

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Poverty reduction is one of the international community’s highest priorities, but until today, there has been little attention to the impacts of the legal rules of the investment protection regime on poverty and on poverty’s effects on investment law’s goals. This article makes an initial effort to uncover the interactions of poverty and investment protection rules. A particular emphasis is given to the role of relative poverty in this relationship, as laws securing property protection are likely to have different impacts on extreme poverty than they do on inequalities of wealth.

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12

Santi, Erika, Andrea Emma Pravitasari e Iskandar Lubis. "Mapping of Spatial Distribution and Spatial Autocorrelation Patterns of Poverty in All Regencies/Cities in Indonesia". Journal of Applied Geospatial Information 4, n. 1 (12 marzo 2020): 271–82. http://dx.doi.org/10.30871/jagi.v4i1.1565.

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Abstract Poverty alleviation programs in Indonesia are the same and uniform in all regions. Of course this ignores the characteristics and causes of poverty that vary in each region. The uniformity of poverty alleviation programs affects the slow pace of decline in the poor population. Spatial influence on poverty can be identified by spatial autocorrelation; there is a relationship of poverty in one region with other regions that are closed together. This study was aimed to analyzing poverty spatial distribution in all regencies/cities in Indonesia; analyzing the spatial distribution patterns of poverty in all regencies/cities in Indonesia; and knowing local spatial autocorrelation of poverty in all regencies/cities in Indonesia. The research methods used are Moran Index analysis, Moran’s scatterplot analysis, and Local Indicators of Spatial Autocorrelation (LISA) analysis. The analysis results show that the highest average of poor population percentage was in Papua and the lowest one was in Kalimantan. The results of analysis of Moran Index showed that the spatial distribution pattern of poverty in regencies/cities in Indonesia was clustered, it was called by poverty pocket. Pockets of poverty that occured do not correspond to government administrative boundaries, therefore poverty alleviation needs an integrative approach. In addition, this study also results that not all regencies/cities have significant spatial autocorrelation. This means that not all poverty conditions in a regencies/cities have a relationship with other regencies/cities. The fact that there are heterogeneity of poverty characteristics like this shows that poverty alleviation programs must vary in each regency/city. Keywords: City, LISA, Moran, Povety, Regency, Spatial

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13

Park, Yhesaem, e Almas Heshmati. "The Effects of Labor Market Characteristics on Women’s Poverty in Korea". Economies 7, n. 4 (5 novembre 2019): 110. http://dx.doi.org/10.3390/economies7040110.

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Background: Poverty in Korea is not gender neutral. Both male headed and female headed households experience poverty in distinct ways. This research discusses poverty and how it has evolved in Korea from a gender perspective. Methods: It describes the characteristics of poverty among the working population based on gender and other household attributes. It measures poverty relative to the mean and median incomes of the population in three ways: headcount, poverty gap, and poverty severity. The study uses the probit model to estimate the incidence of poverty and the Heckman sample selection model to analyze poverty’s gap and severity. Our empirical results are based on an unbalanced household level panel covering the period 2006–2016. Results: Our results indicate that multiple factors including issues related to the labor market and demographic characteristics contribute to women’s poverty. Within the working population, women are less likely to be poor than men because they share their partners’ incomes. However, single female workers with children are the poorest demographic group. Conclusion: “Part-time jobs” are a critical factor in determining women’s poverty status, while “work years” and “the quality of occupation” have a crucial impact on the incidence and severity of poverty.

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14

Bartová, Ľ. "Globalisation and poverty". Agricultural Economics (Zemědělská ekonomika) 48, No. 2 (29 febbraio 2012): 81–86. http://dx.doi.org/10.17221/5292-agricecon.

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Transitional process in Central and Eastern European countries has been affected by globalisation. Evaluation of poverty and inequality become an integral part of economic thinking a few years ago. The importance of this topic is documented in the 2000 World Bank Report. In comparison with living standards of developing countries (especially Africa, South Asia, partially Latin America), Slovakia does not belong to the group of countries with the highest absolute poverty and according to the World Bank Report, the Slovak Republic is one of the countries with the lowest level of inequality. The paper presents an assessment of poverty and inequality in the Slovak Republic and a comparative analysis of indicators of selected countries. From 1992 the poverty in the Slovak Republic was evident, lasting and befalling more and more inhabitants. Household living costs were affected by price liberalisation. Inequality increased too. In 1996, inequality was correlated with the size of settlements and reached the highest level in settlements with over 50 thousand inhabitants. The share of population under poverty line has been increasing as well. Poverty assessment depends on the poverty line, which changes over time and across the regions. Distribution of household income in the Slovak Republic by the size of settlements (Microcenzus 1996) is shallow and densely concentrated around the poverty line. Therefore high sensitivity of poverty incidence, its depth and severity is observed. Contrary to the situation in developing countries, where the highest share of poor is observed in rural areas, the share of the Slovak Republic population under the poverty line was the highest in the settlements with 5 thousand to 10 thousand inhabitants in 1996.

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15

Schweiger, Gottfried. "Recognition and poverty". Eidos 22 (1 gennaio 2015): 143–68. http://dx.doi.org/10.14482/eidos.22.5095.

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16

Pearson, Teresa. "Poverty". AADE in Practice 3, n. 2 (26 febbraio 2015): 8–10. http://dx.doi.org/10.1177/2325160315572597.

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17

Brandl, John, e Daniel P. Moynihan. "Poverty". Journal of Policy Analysis and Management 6, n. 1 (1986): 110. http://dx.doi.org/10.2307/3324088.

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18

Delisle, Hélène F. "Poverty". Annals of the New York Academy of Sciences 1136, n. 1 (25 luglio 2008): 172–84. http://dx.doi.org/10.1196/annals.1425.026.

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19

Mowafi, M. "Poverty". Journal of Epidemiology & Community Health 59, n. 4 (1 aprile 2005): 260–64. http://dx.doi.org/10.1136/jech.2004.022822.

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20

Jeter, Kris. "Poverty". Psychotherapy Patient 7, n. 1-2 (21 gennaio 1991): 141–47. http://dx.doi.org/10.1300/j358v07n01_13.

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21

Howard, Christopher, Amirio Freeman, April Wilson e Eboni Brown. "Poverty". Public Opinion Quarterly 81, n. 3 (2017): 769–89. http://dx.doi.org/10.1093/poq/nfx022.

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22

McKee, Glenn. "Poverty". Appalachian Heritage 15, n. 4 (1987): 5. http://dx.doi.org/10.1353/aph.1987.0053.

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23

Pyatt, Graham. "Poverty". European Economic Review 35, n. 2-3 (aprile 1991): 358–65. http://dx.doi.org/10.1016/0014-2921(91)90137-8.

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24

Darling, Julia. "Poverty". International Journal of Epidemiology 35, n. 3 (1 giugno 2006): 561. http://dx.doi.org/10.1093/ije/dyl017.

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25

Schmidtz, David. "POVERTY". Social Philosophy and Policy 40, n. 1 (2023): 1–8. http://dx.doi.org/10.1017/s0265052523000341.

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AbstractPoverty can be an ephemeral life stage of a young person whose skill sets will become more valuable with training and experience, a personal setback such as losing a job, or a systemic affliction that puts a whole community in danger of widespread famine. A common theme of this volume’s essays is that we cannot understand poverty and famine unless we acknowledge that poor people are not mouths to be fed but agents. Amartya Sen got this right, crediting Adam Smith for the seeds of his insight. What has been enabling people by the billions since Smith’s time to work their way out of poverty?

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26

Bourguignon, François, e Gary S. Fields. "Poverty Measures and Anti-Poverty Policy". Recherches économiques de Louvain 56, n. 3-4 (1990): 409–27. http://dx.doi.org/10.1017/s0770451800043979.

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SummaryThis paper analyzes the optimal allocation of a given antipoverty budget consistent with various usual measures of poverty. It is shown that it is generally optimal to give all the budget either to the poorest or to the richest of the poor. It is only with the Sen index of poverty that it is sometimes optimal to combine both types of allocation. This property may be related to the normalization rule used in the derivation of that measure and sheds some new light on the axiomatics of poverty measurement.

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27

Weinberg, Daniel H. "Poverty Spending and the Poverty Gap". Journal of Policy Analysis and Management 6, n. 2 (1987): 230. http://dx.doi.org/10.2307/3324518.

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28

Thompson, Ross A., e Deborah J. Laible. "Poverty of Children. Poverty of Ideas?" Contemporary Psychology: A Journal of Reviews 41, n. 12 (dicembre 1996): 1198–99. http://dx.doi.org/10.1037/003274.

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29

Bose, Sukanya. "Teaching poverty: a poverty of perspective". International Journal of Pluralism and Economics Education 4, n. 4 (2013): 371. http://dx.doi.org/10.1504/ijpee.2013.060174.

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30

Murray, Michael, e David F. Marks. "Health psychology, poverty and poverty reduction". Journal of Health Psychology 15, n. 7 (29 settembre 2010): 961. http://dx.doi.org/10.1177/1359105310378386.

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31

Jang, Moon-Seok. "Poverty of Theory, Affluence in Poverty". Korean Historical Review 227 (30 settembre 2015): 345. http://dx.doi.org/10.16912/tkhr.2015.09.227.345.

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32

Harriss, John. "Urban poverty and urban poverty alleviation". Cities 6, n. 3 (agosto 1989): 186–94. http://dx.doi.org/10.1016/0264-2751(89)90026-7.

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33

Das, Raju. "Questioning Poverty, Questions for Poverty Analysis". World Marxist Review 2, n. 2 (5 luglio 2024): 103–26. http://dx.doi.org/10.62834/yewzr905.

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Why is there generally an attempt on the part of governments and international agencies to under-estimate the actual magnitude of the problem of poverty, and what strategies do they use? If poverty has been reduced, one must ask: why does poverty exist in the first place and what might be the limits to what the governments can do to eliminate it? In discussing these questions, the paper presents two major criticisms of existing poverty analysis. It then briefly presents a multi-scalar political economy framework for poverty analysis, as informed by a philosophy of internal relations. It also poses a series of questions that must be addressed by scholars so that they may have a better explanation of global poverty, including its temporal and geographical variations, and be able to significantly mitigate, and finally eliminate, poverty.

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34

Feng, Xing, Zhe Zhao, Zhanhua Jia, Zhenxing Tian e Haiting Chen. "Framework of New Poverty Decomposition: An Application to the Evolution of Income Distribution". Sustainability 15, n. 3 (2 febbraio 2023): 2749. http://dx.doi.org/10.3390/su15032749.

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Ending poverty in all its forms is the first of the 17 sustainable development goals (SDGs) of the 2030 Agenda for Sustainable Development. Therefore, it is of great significance to study poverty in the context of sustainable development. At present, the effect of income growth on poverty reduction is becoming less evident, whereas the effect of inhabitant heterogeneity on poverty reduction is becoming increasingly significant in China. Based on the original two-dimensional poverty decomposition of income growth and redistribution, this study introduces the heterogeneity effect to decompose rural poverty in China from three dimensions. It first decomposes the change in income distribution into mean, variance, and residual effects using counterfactual analysis. Then, it introduces the Foster–Greer–Thorbecke index decomposition to decompose China’s rural poverty under the different poverty line. In addition, this paper employs mathematical statistics to analyze the effects of poverty’s growth, dispersion, and heterogeneity. This study finds that the three-dimensional poverty decomposition method can measure the trajectory and trend of poverty more precisely and comprehensively. Moreover, it found that the contradiction between economic growth and poverty regression is due to the fact that the poverty reduction effect of the growth effect and the poverty alleviation effect of the discrete effect have asymmetrical characteristics, whereas the discrete effect and the heterogeneous effect have symmetrical characteristics; that is, the poverty reduction effect of income growth is insufficient to compensate for the poverty deepening effect brought about by the widening income gap, and that the heterogeneous poverty reduction effect plays an increasingly important role. Therefore, to prevent residents from falling back into poverty after being lifted out of it, we must reduce the widening income gap. Moreover, residents’ ability to reduce poverty on their own must be strengthened.

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Li, Guie, Yangyang Jiao, Jie Li e Qingwu Yan. "Spatiotemporal Evolution and Influential Factors of Rural Poverty in Poverty-Stricken Areas of Guizhou Province: Implications for Consolidating the Achievements of Poverty Alleviation". ISPRS International Journal of Geo-Information 11, n. 11 (31 ottobre 2022): 546. http://dx.doi.org/10.3390/ijgi11110546.

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China has made remarkable reductions in absolute poverty. However, pressing questions remain of how to consolidate the existing achievements of poverty alleviation and prevent rural households from regressing back into poverty, especially in continuously poverty-stricken areas. This paper explores the spatiotemporal evolution of rural poverty and its influential factors under different poverty standards in three continuously poverty-stricken areas in Guizhou Province using 2003–2017 panel data and the spatiotemporal analysis method. The results show that decreasing poverty is an apparent spatial heterogeneity and there are area differences in the different research periods. The degrees of the average annual poverty reductions of all research counties were between 2.98–10.09%, 10.60–26.96%, and 11.46–43.19% in 2003–2007, 2008–2010, and 2011–2017, respectively; the poverty-stricken counties with high rates of poverty reduction are often adjacent to the nonpoverty-stricken counties. Influential factors vary in different areas over time, which is the result of the combination of leading influential factors (economy) and various influencing factors (natural location, social development, and education/labor) with regional characteristics. Although the effect of natural location on rural poverty in the research area is decreasing, its impact should not be ignored. Considering the complexity of poverty’s influential factors and the dependence on poverty alleviation policies, it’s essential for China to continue to strengthen its targeting of poverty in the continuously poverty-stricken areas, especially the counties in the inner areas. Devoting to building the coordination of regional development and ecological environment protection is an important way to achieve sustainable development goals with higher quality in the continuously poverty-stricken areas.

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36

Peter Aning Tedong, Zafirah Al Sadat Zyed, Rohana Jani e Fathin Amelina Fazlie. "Rural Residents’ Perceptions on the Poverty Alleviation and Governance in Sarawak, Malaysia". International Journal of Business and Society 23, n. 2 (8 agosto 2022): 649–64. http://dx.doi.org/10.33736/ijbs.4831.2022.

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Poverty alleviation has continuously become one of the main concerns of the socio-economic policy worldwide. This crucial phenomenon is bounded on necessity toward monetary and comprehends by social, economic, political, and physiological aspects. In Malaysia, although the New Economic Policy in 1971 has succeeded in reducing the country's poverty incident, poverty's pocket continues to exist with high incidences of poverty among specific ethnic groups and localities. For instance, rural poverty among the Iban community in Sarawak has occurred since Malaysian independence. Therefore, this paper examines the rural residents' perceptions of the State's role in poverty alleviation in Sarawak using a qualitative approach. Findings revealed that although the government has various programs to alleviate poverty, the social assistance related to poverty was not efficiently distributed in Sarawak's rural areas. This study also revealed that a lack of social infrastructures, such as road accessibility, has significantly influenced social assistance's efficiency distribution in rural areas.

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Harvey, David L., e Michael H. Reed. "The Culture of Poverty: An Ideological Analysis". Sociological Perspectives 39, n. 4 (dicembre 1996): 465–95. http://dx.doi.org/10.2307/1389418.

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For three decades Oscar Lewis's subculture of poverty concept has been misinterpreted as a theory bent on blaming the victims of poverty for their poverty. This essay corrects this misunderstanding. Using a sociology of knowledge approach, it explores the historical origins of this misreading and shows how current poverty scholarship replicates this erroneous interpretation of Lewis's work. An attempt is made to remedy this situation by arguing that Lewis's subculture of poverty idea, far from being a poor-bashing, ideological ploy, is firmly grounded in a Marxist critique of capital and its productive contradictions. As such, Lewis's work is a celebration of the resilience and resourcefulness of the poor, not a denigration of the lower class and the cultural defenses they erect against poverty's everyday uncertainty.

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Kamilah, Kamilah, Teguh Hadi Priyono, Duwi Yunitasari, Sunlip Wibisono, Rafael Purtomo Somaji, Nanik Istiyani e Edy Santoso. "Analysis of Poverty Determination in Madura 2010 - 2019". Media Trend 17, n. 2 (29 dicembre 2022): 433–49. http://dx.doi.org/10.21107/mediatrend.v17i2.15810.

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One of the largest’s poverty percentage in East Java Province is on Madura insland.The average percentage of poverty in district on Madura Island is higher than thepercentage of poverty in East Java Province. Based on this, it is known that the poverty rate in Madura is above East Java Province, reaching more than 20 percent. 2022This study aims to determine the effect of the independent variables of economicgrowth, Unemployment Rate, Inequality of Income Distribution on Poverty Levelson Madura Island. In this case, the data used is panel data which is a combinationof the time series, namely 2010 – 2019 and the latitude series of 4 districts inMadura. The data analysis method used in this research is panel data regression.The results of this study are the variable economic growth (X1) has a negative andsignificant effect on poverty in Madura Island. The Variable Unemployment Rate(X2) has a positive and insignificant effect on poverty in Madura Island. Incomedistribution inequality variable (X3) has a negative and significant effect on povertyin Madura Island

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Dubey, Amaresh, e Palmer-Jones Richard. "Poverty in India since 1983: New Poverty Counts and Robust Poverty Comparisons". Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 47, n. 3-4 (1 dicembre 2005): 287. http://dx.doi.org/10.21648/arthavij/2005/v47/i3-4/115701.

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40

Clark, D., e D. Hulme. "Poverty, time and vagueness: integrating the core poverty and chronic poverty frameworks". Cambridge Journal of Economics 34, n. 2 (3 marzo 2009): 347–66. http://dx.doi.org/10.1093/cje/ben046.

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41

Fox, Liana, Christopher Wimer, Irwin Garfinkel, Neeraj Kaushal e Jane Waldfogel. "Waging War on Poverty: Poverty Trends Using a Historical Supplemental Poverty Measure". Journal of Policy Analysis and Management 34, n. 3 (18 febbraio 2015): 567–92. http://dx.doi.org/10.1002/pam.21833.

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42

Geoffrey, Mulmka. "Exploring the Nexus between Poverty and Academic Performance: A Case Study in Lugazi Town Council, Mukono District, Uganda". INOSR HUMANITIES AND SOCIAL SCIENCES 10, n. 1 (12 marzo 2024): 14–20. http://dx.doi.org/10.59298/inosrhss/2024/101.4.14200.

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Abstract (sommario):

Poverty remains a persistent challenge globally, affecting millions of individuals and families. In Uganda, poverty significantly influences various aspects of life, particularly education. This study investigates the intricate relationship between poverty and academic performance among learners in Lugazi town council, Mukono district, Uganda. Utilizing a mixed-methods approach, data was collected from teachers, students, and parents to comprehensively understand poverty's impact on education. Results reveal pronounced disparities in access to essential school facilities and resources due to financial constraints, including inadequate textbooks, classrooms, and practical materials. Moreover, limited staff development opportunities and large class sizes exacerbate teaching challenges, hindering effective learning. Poverty is found to be a key driver of high dropout rates among students, driven by the necessity to work, unfavorable school environments, hunger, lengthy commutes, and early marriages, particularly among girls. Additionally, poverty correlates with increased student indiscipline, including drug abuse and deviant behavior, further undermining the educational environment. This study underscores the urgent need for targeted interventions to address structural challenges posed by poverty. Recommendations include increased funding for schools serving underprivileged communities, support for teacher training initiatives, and efforts to mitigate socioeconomic barriers to education. The findings emphasize the importance of fostering collaborative partnerships between government agencies, educators, parents, and community leaders to create a conducive learning environment that promotes academic achievement despite socioeconomic obstacles. Ultimately, addressing poverty's impact on education is essential for enhancing educational outcomes and reducing inequality in Uganda. Keywords: Poverty, Academic Performance, Education, Uganda, Dropout Rates, School Facilities, Teacher Training, Socioeconomic Barriers, Collaborative Partnerships

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Jones, Erick C., e Ariadna Reyes. "Identifying Themes in Energy Poverty Research: Energy Justice Implications for Policy, Programs, and the Clean Energy Transition". Energies 16, n. 18 (19 settembre 2023): 6698. http://dx.doi.org/10.3390/en16186698.

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Abstract (sommario):

Energy poverty affects numerous households across the globe and has several key implications and concerns for public health and social equity. Energy poverty is defined as “the lack of access to modern and affordable energy services”. Individuals or communities in energy poverty face limitations in accessing reliable, affordable, and sustainable energy. This review paper examines a focused subset of recent research on energy poverty highlighted by the “NSF 2026: Priorities and Research Needs for an Equitable Energy Transition” workshop and the United States Department of Energy’s Office of Energy Justice Policy and Analysis to help frame energy poverty’s impacts on policy, poverty alleviation, environmental impact, and social inequity. This review paper uses five themes to organize previous energy poverty work: (1) Energy Poverty and Justice Definitions and Metrics; (2) Behavioral Aspects of Energy Poverty; (3) Efficacy of Energy Assistance Programs; (4) Efficiency of Energy Efficiency Policy; (5) The Energy Transition and Environmental and Energy Justice. We found that the literature examined how comprehensive assessment of energy poverty requires going beyond standard statistics and metrics and must include an understanding of how underserved households interact with energy. We found strong optimism for the clean energy transition’s ability to significantly alleviate energy poverty, but only if policymakers include equity. Finally, we found that while there is plenty of work highlighting deficiencies there is a dearth of work examining successful implementations and how to replicate them which will be needed if the clean energy transition is to match its potential.

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Ali, Sajid, Sobia Anwer e Tasneem Shoaib. "THE SOCIO-ECONOMIC EFFECTS OF REMITTANCE ON POVERTY REDUCTION IN PAKISTAN". Global Journal for Management and Administrative Sciences 2, n. 1 (30 giugno 2021): 101–16. http://dx.doi.org/10.46568/gjmas.v2i1.29.

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Abstract (sommario):

The purpose of this study to contribute to the existing literature by investigating at the impact of remittances on Pakistan’s poverty, both in the long run and over the short run over the period from 1980 to 2018. Poverty is the dependent variable, and independent variables are inflation, education, trade openness, domestic growth product per capita, and remittance. For this purpose, ARDL bound testing technique is used to examine the effect of remittances on Pakistan’s poverty in multidimensional form. To confirm the results' robustness, this study used two proxies of poverty. For Model 1, consumption of household (HHC) used as poverty's proxy. For 2nd model, the rate of infant mortality (IMR) is taken as a proxy of poverty. Unit roots' outcomes indicate appropriateness to apply the ARDL bond testing to conclude on co-integration and (ARDL) regression analysis. Co-integration test results indicate that relationships of long run are present among the study variables of models 1 and 2 because both models' the value of F-statistics is greater than the serious value. In model 1 (long-run and short-run), results represent the impact of remittance (REM) is negative on poverty (HHC). From previous studies, remittance has an adverse influence on poverty. In model 2 (long-run), results represent the impact of remittance (REM) is negative on poverty (IMR). However, short-run results represent that remittance (REM) is positive on poverty (IMR). The negative relationship between remittances and poverty implies that remittance increases can decrease the poverty level in Pakistan. The results show that remittances have an important role in reducing poverty in the country.

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Swanepoel, C. "Poverty and Poverty Dynamics in Rural Ethiopia". Studies in Economics and Econometrics 30, n. 1 (1 aprile 2006): 59–82. http://dx.doi.org/10.1080/10800379.2006.12106400.

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46

Gnangnon, Sena Kimm. "Poverty volatility and poverty in developing countries". Economic Affairs 41, n. 1 (febbraio 2021): 84–95. http://dx.doi.org/10.1111/ecaf.12445.

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Sari, Deffi Ayu Puspito, e Shigekazu Kawashima. "Poverty Mapping And Poverty Analysis In Indonesia". Jurnal Agro Ekonomi 28, n. 1 (25 agosto 2016): 95. http://dx.doi.org/10.21082/jae.v28n1.2010.95-111.

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Abstract (sommario):

<strong>ABSTRACT</strong><br /><br />This paper analyzes poverty-related data in Indonesia at regency and city level. First, poverty mapping is carried out at disaggregated levels by regency or city to visually identify the prevalence of poverty. Second, the relationship between consumption-based poverty and capability-based poverty is examined using principal component regression. This approach clarifies the influence of basic needs availability and other poverty characteristics on consumption-based poverty. Poverty rate, poverty gap and severity poverty are scattered in all regencies and cities, showing the tendency that poverty indices are higher and more severe in eastern islands of the country compared to other regions. In addition to food expenditure, the basic needs and working sector are closely related to consumption-based poverty. The toilet availability, access to safe water and public health services and education, often measured as the dimensions of capability based poverty, are very important to have bearing on consumption-based poverty. To reduce severity of poverty, safe water access is especially the most important factor among other public health variables. Severity poverty also turns out to be correlated with education variables. Completion of elementary and higher education is negatively correlated with severity poverty and more important than food expenditures.

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S. Saidu, Oluwaseun. "POVERTY REVISITED: PRESENTING POVERTY THE NORMATIVE WAY". Jurnal Syariah 25, n. 1 (1 gennaio 2017): 117–36. http://dx.doi.org/10.22452/js.vol25no1.6.

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49

Lawson, Victoria, e Sarah Elwood. "Encountering Poverty: Space, Class, and Poverty Politics". Antipode 46, n. 1 (12 luglio 2013): 209–28. http://dx.doi.org/10.1111/anti.12030.

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50

Greeley, Martin. "Measurement of Poverty and Poverty of Measurement". IDS Bulletin 25, n. 2 (aprile 1994): 50–58. http://dx.doi.org/10.1111/j.1759-5436.1994.mp25002005.x.

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