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Journal articles on the topic 'Relative poverty'

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1

Nielsen, Lynge. "Global Relative Poverty." IMF Working Papers 09, no. 93 (2009): 1. http://dx.doi.org/10.5089/9781451872408.001.

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2

Ravallion, Martin, and Shaohua Chen. "Weakly Relative Poverty." Review of Economics and Statistics 93, no. 4 (2011): 1251–61. http://dx.doi.org/10.1162/rest_a_00127.

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3

Mehdi, Tahsin. "Poverty comparisons with common relative poverty lines." Communications in Statistics - Theory and Methods 46, no. 4 (2016): 2029–36. http://dx.doi.org/10.1080/03610926.2015.1040504.

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4

SHAW, BEVERLEY. "Poverty: absolute or relative?" Journal of Applied Philosophy 5, no. 1 (1988): 27–36. http://dx.doi.org/10.1111/j.1468-5930.1988.tb00226.x.

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5

Katikireddi, S. Vittal, and Ruth Dundas. "Relative poverty still matters." Lancet Public Health 2, no. 3 (2017): e126-e127. http://dx.doi.org/10.1016/s2468-2667(17)30029-4.

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6

Alphonse, Mané SAMBOU, MBAYE Souleymane, and FAHAD Assaendi. "Poverty analysis in Senegal: a comparison of absolute and relative approaches." African Scientific Journal Vol 3, N° 4 (2021): 282. https://doi.org/10.5281/zenodo.5638246.

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<strong>R&eacute;sum&eacute; </strong> La plupart des analyses en termes de profil de pauvret&eacute; dans les pays en d&eacute;veloppement utilisent l&rsquo;approche absolue. Cette recherche repose sur une d&eacute;marche comparative des approches absolue et relative. Il s&rsquo;agit, sur la base de ces deux instruments de mesure, de quantifier et d&rsquo;analyser comparativement le niveau et les caract&eacute;ristiques de la pauvret&eacute; au S&eacute;n&eacute;gal. Les donn&eacute;es de l&rsquo;enqu&ecirc;te sur les conditions de vie des m&eacute;nages s&eacute;n&eacute;galais de 2016 men&e
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7

Zou, Wei, Xiaopei Cheng, Zengzeng Fan, and Chuhao Lin. "Measuring and Decomposing Relative Poverty in China." Land 12, no. 2 (2023): 316. http://dx.doi.org/10.3390/land12020316.

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Poverty is a critical issue in sustainable development, and the study of poverty has gradually shifted from absolute to relative poverty. This paper measures three types of relative poverty—strongly relative poverty (50% of median income), strongly relative poverty (50% of mean income), and weakly relative poverty. Then this paper decomposes the change of relative poverty into the growth component, redistribution component, and poverty line change component. Further, the intra- and inter-group decompositions of relative poverty change are carried out by considering the urban and rural populati
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8

Om, Samadhan Hande. "Examination of Relationship between Poverty and Employment." International Journal of Social Science and Humanities Research 11, no. 4 (2023): 447–55. https://doi.org/10.5281/zenodo.10370663.

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<strong>Abstract:</strong>&nbsp;This paper aims to examine the relationship between poverty and employment. The sufficient samples are collected for the study to prove results. Poverty doesn't mean low income only but it is social phenomena in which a particular section of society is not able to fulfill their basic needs.&nbsp; It is to be noted that poverty is a universal and India is not exception to this. Government has already implemented various poverty alleviation programs yet poverty in relative terms has not decreed up to the mark. <i>So</i>, <i>the</i> question <i>is</i> <i>how</i> <i
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9

Othman, Muhammad Hanif, Zouhair Mohd Rosli, and Mohd Hilal Muhammad. "Multidimensional Poverty: Complementary Measure to Absolute and Relative Poverty." International Journal of Research and Innovation in Social Science VIII, no. IX (2024): 3838–46. http://dx.doi.org/10.47772/ijriss.2024.8090319.

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Poverty is a complex issue that involves more than just income levels, affecting various aspects of life such as health, education, and living conditions. The ongoing discussion about how to measure poverty, whether through absolute or relative terms, reflects the challenges in assessing it. Absolute poverty is based on a set standard that focuses on meeting basic needs for survival, while relative poverty looks at income disparities within a society. This study explores existing research on multidimensional poverty and examines the debate between absolute and relative poverty measures, consid
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10

Zheng, Buhong. "Statistical inference for poverty measures with relative poverty lines." Journal of Econometrics 101, no. 2 (2001): 337–56. http://dx.doi.org/10.1016/s0304-4076(00)00088-9.

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11

Sallila, Seppo, Heikki Hiilamo, and Reijo Sund. "Rethinking relative measures of poverty." Journal of European Social Policy 16, no. 2 (2006): 107–20. http://dx.doi.org/10.1177/0958928706062500.

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12

Charlton, BruceG. "Absolute effects of relative poverty." Lancet 344, no. 8924 (1994): 755. http://dx.doi.org/10.1016/s0140-6736(94)92245-4.

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13

Anwar, Talat. "Prevalence of Relative Poverty in Pakistan." Pakistan Development Review 44, no. 4II (2005): 1111–31. http://dx.doi.org/10.30541/v44i4iipp.1111-1131.

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Much has been written11about poverty in Pakistan. A large number of attempts have been made by various authors/institutions to estimate the poverty in Pakistan over the last four decades. However, the conceptual basis of poverty remained limited to absolute concept of poverty. The concept of absolute poverty emphasises to estimate the cost of purchasing a minimum ‘basket’ of goods required for human survival. In Pakistan, the discussion has been centered on estimating poverty lines consistent with 2550 or 2350 calorie intake per adult per day as minimum requirement. Thus, absolute definitions
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14

Zou, Wei, Xiaopei Cheng, Zengzeng Fan, and Wenxi Yin. "Multidimensional Relative Poverty in China: Identification and Decomposition." Sustainability 15, no. 6 (2023): 4869. http://dx.doi.org/10.3390/su15064869.

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This paper aims to study the change and decomposition of multidimensional relative poverty in China. The data we use are from the China Health and Nutrition Survey (CHNS). The data cover 12 provinces in China and span a long period, from reform to precise poverty alleviation. The results show that the multidimensional relative poverty index presents a change pattern of “gradual rise (1991–2004)-decline (2004–2011)-rise again (after 2011)”. The dimensions of education, income, and employment contribute more to multidimensional relative poverty, followed by health and living standards. Multidime
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15

Wu, Benjian, Yiyuan Rong, Xinyu Liang, Haibo Zhu, and Xue Shi. "Can Land Transfer Alleviate Multidimensional Relative Poverty in Rural Areas?" Land 13, no. 11 (2024): 1743. http://dx.doi.org/10.3390/land13111743.

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After eliminating absolute poverty, China’s anti-poverty efforts have shifted towards multidimensional relative poverty. This study uses microdata from the Chinese Academy of Agricultural Sciences (CAAS) from 2012 to 2021, applies the Kakwani index to construct a multidimensional relative poverty indicator, and uses an endogenous transformation model to analyze the impact of land transfer on multidimensional relative poverty in rural areas. The study found that (1) land transfer can effectively reduce the multidimensional relative poverty of farm households. (2) Land transfer has a better miti
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16

Fan, Zengzeng, and Wei Zou. "A Three-Component Decomposition of the Change in Relative Poverty: An Application to China." Land 12, no. 1 (2023): 205. http://dx.doi.org/10.3390/land12010205.

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China has eliminated absolute poverty and begun to tackle relative poverty, yet the change in relative poverty in China has been less studied. In this paper, we develop a three-component decomposition of the change in relative poverty and apply it to analyze the relative poverty in China. The change in relative poverty is decomposed into identification, growth, and redistribution components. We compare the three-component decomposition with other decomposition methods in the existing literature and show the advantages of the former. Our study, using the China Family Panel Studies (CFPS) 2010–2
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17

Sun, Hong, Xiaohong Li, Wenjing Li, and Jun Feng. "Differences and Influencing Factors of Relative Poverty of Urban and Rural Residents in China Based on the Survey of 31 Provinces and Cities." International Journal of Environmental Research and Public Health 19, no. 15 (2022): 9015. http://dx.doi.org/10.3390/ijerph19159015.

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China achieved comprehensive poverty eradication under the current standards in 2020, but eliminating absolute poverty does not mean the end of poverty alleviation and reduction; relative poverty will exist for a long time and has become the subject of poverty study. In this paper, the social poverty line (SPL) index is utilized to establish the relative poverty standard, and CHFS2017 is used to compare the regional distribution of relative poverty in China. The results show that the relative poverty in rural areas is more serious than that in urban areas. The rural relative poverty rate in fi
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18

Preston, Ian. "Sampling Distributions of Relative Poverty Statistics." Applied Statistics 44, no. 1 (1995): 91. http://dx.doi.org/10.2307/2986197.

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19

Pu, Xiaomei. "Literature Review of Relative Poverty Research." Voice of the Publisher 06, no. 03 (2020): 84–90. http://dx.doi.org/10.4236/vp.2020.63008.

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20

Zhang, Yao, and Jianjun Huai. "A Case Study of Farmers’ Behavioral Motivation Mechanisms to Crack the Fractal Multidimensional Relative Poverty Trap in Shaanxi, China." Agriculture 13, no. 11 (2023): 2043. http://dx.doi.org/10.3390/agriculture13112043.

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China’s approach to addressing rural poverty has evolved from a thorough resolution of absolute poverty to a focus on providing essential support for vulnerable individuals and improving the income and welfare conditions of those who are relatively poor, taking into account multiple dimensions. This study utilizes a dataset consisting of 526 research sets collected from the central region of Shaanxi Province. The research employs structural equation modeling to examine the fractal multidimensional relative poverty trap experienced by farm households. Additionally, the study investigates the be
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21

Liu, Qian, Xinyu Wu, Kaixin Xiao, Xue Xiang, Di Han, and Yan Zhang. "Study on Human Capital Structure Assessment and Relative Poverty Governance." Highlights in Business, Economics and Management 16 (August 2, 2023): 54–62. http://dx.doi.org/10.54097/hbem.v16i.10535.

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China has completed the target task of fully eradicating poverty among the absolute rural poor under the current standards on schedule, and the milestone victory in poverty alleviation means that the focus of poverty alleviation will shift from helping absolute poverty in the past to targeting relative poverty. Human capital is always a fundamental intrinsic factor in alleviating the problem of relative poverty. This paper completes action on the usual policy of shifting the focus of China's poverty alleviation strategy to comparative poverty management, and explores how the optimization of hu
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22

Liu, Jingyi, and Ling Jiang. "Study on Digital Economy for Rural Relative Poverty Governance in Anhui Province." Frontiers in Business, Economics and Management 9, no. 1 (2023): 338–42. http://dx.doi.org/10.54097/fbem.v9i1.8776.

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Since the 18th Party Congress, the Chinese government has actively promoted anti-poverty strategies and achieved the goal of poverty eradication as scheduled. However, poverty governance is not over, and the problem of relative poverty still exists. By analyzing the development of digital economy and the current situation of rural relative poverty in Anhui Province, this paper further explores the theoretical mechanism of digital economy for rural relative poverty governance. Finally, four measures are proposed: continuously increasing the construction of digital technology infrastructure, dev
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23

Thompson, Brennan S. "Empirical Likelihood-Based Inference for Poverty Measures with Relative Poverty Lines." Econometric Reviews 32, no. 4 (2013): 513–23. http://dx.doi.org/10.1080/07474938.2012.690671.

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24

Moller, Stephanie, David Bradley, Evelyne Huber, Francois Nielsen, and John D. Stephens. "Determinants of Relative Poverty in Advanced Capitalist Democracies." American Sociological Review 68, no. 1 (2003): 22–51. http://dx.doi.org/10.1177/000312240306800102.

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Using relative poverty measures based on micro-level data from the Luxembourg Income Study, in conjunction with pooled time-series data for 14 advanced capitalist democracies between 1970 and 1997, the authors analyze separately the rate of pretax/transfer poverty and the reduction in poverty achieved by systems of taxes and transfers. Socioeconomic factors, including de-industrialization and unemployment, largely explain pre-tax/transfer poverty rates of the working-age population in these advanced capitalist democracies. The extent of redistribution (measured as poverty reduction via taxes a
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25

Schefer, Krista Nadakavukaren. "Poverty and Investment Law: Starting the Discussion." Journal of World Investment & Trade 15, no. 5-6 (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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26

Slobodenyuk, E. D., and V. A. Anikin. "Locating the “poverty threshold” in Russia." Voprosy Ekonomiki, no. 1 (January 28, 2018): 104–27. http://dx.doi.org/10.32609/0042-8736-2018-1-104-127.

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The present paper focuses on identification of relative “poverty line” and a threshold of high poverty risks. The paper also studies key poverty factors in contemporary Russia. It demonstrates that the relative approach to poverty which is widely used in Western countries is applicable in Russia too. However, the relative poverty thresholds set at 0.5 and 0.75 medians per capita family income identify quite different groups of the poor. The threshold of 0.5 median income indicates deep poverty happened mostly to the unemployed workforce. The relative poverty threshold equal to 0.75 median inco
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27

Yang, Yingya, Liangliang Zhou, Chongmei Zhang, Xin Luo, Yihan Luo, and Wei Wang. "Public Health Services, Health Human Capital, and Relative Poverty of Rural Families." International Journal of Environmental Research and Public Health 19, no. 17 (2022): 11089. http://dx.doi.org/10.3390/ijerph191711089.

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With the successful completion of the battle against poverty, after 2020, the focus and difficulty of China’s poverty governance will change from solving absolute poverty to alleviating relative poverty. Analyzing and studying the alleviation of relative poverty from the perspective of public health services is in line with the current needs of consolidating and expanding poverty alleviation in China, and it is also of great significance to building a long-term solution mechanism for relative poverty. In this study, basic panel data were constructed by using the data of five CFPS surveys in 20
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28

Zhang, Meiju. "Research on the Construction of Long-term Mechanism of Relative Poverty Governance in Anhui Province." Frontiers in Business, Economics and Management 3, no. 2 (2022): 6–11. http://dx.doi.org/10.54097/fbem.v3i2.245.

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Regional poverty has always been an important problem perplexing the development of human society. The comprehensive analysis of relative poverty is conducive to the further implementation of the Rural Revitalization Strategy. Based on the analysis of the new characteristics of the relative poverty governance stage in Anhui Province, this paper reflects the relative poverty degree of Anhui Province by measuring the level of economic development. The results show that the counties with high relative poverty degree are mainly distributed in most areas of Northern Anhui, and there are a few areas
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29

Tang, Yonghong, Hui Wang, and Zirong Lin. "Spatial Heterogeneity Effects of Green Finance on Absolute and Relative Poverty." Sustainability 15, no. 7 (2023): 6206. http://dx.doi.org/10.3390/su15076206.

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In light of the growing emphasis on sustainable development, financial poverty alleviation has become an increasingly important strategy. This study explores whether green finance, a new financial tool aimed at achieving sustainable development, can effectively reduce poverty. Using data from 25 provinces in China between 2004 and 2019, the study builds the China Green Financial Development Index, using the improved entropy power method, and uses a spatial econometric model to analyze the linear and non-linear impact of green finance on absolute and relatively poor poverty. The results demonst
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30

Dunn, Andrew. "Relative Poverty, British Social Policy Writing and Public Experience." Social Policy and Society 16, no. 3 (2016): 377–90. http://dx.doi.org/10.1017/s1474746416000300.

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Relative poverty, a concept developed by left-wing social scientists, categorises as ‘poor’ those who fall seriously behind normal nationwide material standards. This article argues that the widespread view that the word ‘poverty’ means ‘relative poverty’, which in left-dominated social policy academia often extends to implying that those who do not define poverty this way are necessarily misguided, has led to an incomplete portrayal of poorer British people's lived experience. The article examines published empirical work, before presenting findings from British Social Attitudes surveys and i
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31

NIEMIETZ, KRISTIAN. "Measuring Poverty: Context-Specific but not Relative." Journal of Public Policy 30, no. 3 (2010): 241–62. http://dx.doi.org/10.1017/s0143814x10000103.

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AbstractPoverty in developed countries is commonly defined in relative terms. It is argued that a relative definition formalises the insight that poverty is a context-specific phenomenon, and that the understanding of what constitutes poverty changes with overall economic development. Yet this article argues that tagging a poverty line to mean or median incomes does not automatically anchor it in its social context. Relative measures rely on the implicit assumptions that social norms are formed at the national level, and that median income earners set social standards. A comparison with studie
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32

Lockwood, Victoria S. "Poverty in Paradise: Development and Relative Income Poverty in Rural Tahitian Society." Human Organization 61, no. 3 (2002): 210–25. http://dx.doi.org/10.17730/humo.61.3.8pne6jp36h79m725.

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33

Orkoh, Emmanuel, Phillip Frederick Blaauw, and Carike Claassen. "Relative Effects of Income and Consumption Poverty on Time Poverty in Ghana." Social Indicators Research 147, no. 2 (2019): 465–99. http://dx.doi.org/10.1007/s11205-019-02158-0.

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34

Yu, Wenguang, Guofeng Guan, Yifan Wang, and Qi Wang. "An analysis of the poverty reduction effects on land transfer: Evidence from rural areas in China." PLOS ONE 19, no. 2 (2024): e0298243. http://dx.doi.org/10.1371/journal.pone.0298243.

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This paper develops a multidimensional poverty index (MPI) evaluation system using multiple measures. We use the China Family Panel Study (CFPS) data to build balanced panel data from 2012 to 2018. Employing the probit model to analyze the impact of land transfer on relative poverty incidence, as well as utilizing the two-way fixed effects model and the logit model, we approach the issue from the perspective of multidimensional relative poverty identification. Our study indicates a decrease in relative poverty among rural households since 2012. Nonetheless, the overall incidence of relative po
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35

Zijian, Cao, and Sheng Lei. "COVID-19, Spatial Social Distance and Relative Poverty Governance." International Business & Economics Studies 5, no. 2 (2023): p104. http://dx.doi.org/10.22158/ibes.v5n2p104.

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The sudden global outbreak of the new crown pneumonia epidemic at the end of 2019 has caused a huge impact on the world’s economic and social development. It has also brought new challenges to the governance of relative poverty in China. This paper compares the connotation and characteristics of relative poverty, and argues that relative poverty mainly encompasses three levels: income, viability and rights. Starting from the perspective of maintaining spatial social distance, the main strategy to prevent and control the new crown epidemic, the paper explores the inner influence mechanism of re
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36

Preston, Ian. "Corrigendum: Sampling Distributions of Relative Poverty Statistics." Applied Statistics 45, no. 3 (1996): 399. http://dx.doi.org/10.2307/2986098.

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37

Ravallion, Martin, and Shaohua Chen. "Global poverty measurement when relative income matters." Journal of Public Economics 177 (September 2019): 104046. http://dx.doi.org/10.1016/j.jpubeco.2019.07.005.

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38

Thompson, Brennan Scott. "Flat rate taxes and relative poverty measurement." Social Choice and Welfare 38, no. 3 (2011): 543–51. http://dx.doi.org/10.1007/s00355-011-0537-2.

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39

Delhausse, Bernard, Axel Luttgens, and Sergio Perelman. "Comparing measures of poverty and relative deprivation." Journal of Population Economics 6, no. 1 (1993): 83–102. http://dx.doi.org/10.1007/bf00164340.

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40

Ravallion, Martin. "On Measuring Global Poverty." Annual Review of Economics 12, no. 1 (2020): 167–88. http://dx.doi.org/10.1146/annurev-economics-081919-022924.

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This article critically assesses prevailing measures of global poverty. A welfarist interpretation of global poverty lines is augmented by the idea of normative functionings, the cost of which varies across countries. In this light, current absolute measures are seen to ignore important social effects on welfare, while popular, strongly relative measures ignore absolute levels of living. It is argued that a new hybrid measure is called for, combining absolute and weakly relative measures consistent with how national lines vary across countries. Illustrative calculations indicate that we are se
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41

Hick, Rod. "Poverty as Capability Deprivation: Conceptualising and Measuring Poverty in Contemporary Europe." European Journal of Sociology 55, no. 3 (2014): 295–323. http://dx.doi.org/10.1017/s0003975614000150.

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AbstractPoverty analysis is in the midst of a multidimensional “turn” due, in part, to the growing awareness of the limitations of relative income measures of poverty. In this paper, we argue that the conceptualisation of poverty remains a neglected aspect of this multidimensional turn to date, and demonstrate that the counter-intuitive results which flow from relative income analyses are not problems of measurement, but are entirely consistent with the conceptualisation of poverty under Peter Townsend’s dominantPoverty as Relative Deprivationframework. In response to these problems we articul
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42

Huang, Keming, and Fangzhou Xia. "Classification of Rural Relative Poverty Groups and Measurement of the Influence of Land Elements: A Questionnaire-Based Analysis of 23 Poor Counties in China." Land 12, no. 4 (2023): 918. http://dx.doi.org/10.3390/land12040918.

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In 2021, China achieved an all-round victory in the fight against poverty and completed the task of eliminating absolute poverty. However, relative poverty will still exist for a long time. According to the degree of relative poverty, this paper divided rural population into four groups, incapability group, vulnerable group, marginal group and non-relative poverty group, to further explore the differences in specific land elements requirements among different groups. Firstly, ten factors were selected as evaluation indexes, including per capita household income, education level, poverty regist
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43

LAYTE, RICHARD, BRIAN NOLAN, and CHRISTOPHER T. WHELAN. "Targeting Poverty: Lessons from Monitoring Ireland's National Anti-Poverty Strategy." Journal of Social Policy 29, no. 4 (2000): 553–75. http://dx.doi.org/10.1017/s0047279400006073.

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In 1997 the Irish government adopted the National Anti-Poverty Strategy (NAPS), a global target for the reduction of poverty which illuminates a range of issues relating to official poverty targets. The Irish target is framed in terms of a relative poverty measure incorporating both relative income and direct measures of deprivation based on data on the extent of poverty from 1994. Since 1994 Ireland has experienced an unprecedented period of economic growth that makes it particularly important to assess whether the target has been achieved, but in doing so we cannot avoid asking some underlyi
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44

Su, Yiting, Jing Li, Dongchuan Wang, Jiabao Yue, and Xingguang Yan. "Spatio-Temporal Synergy between Urban Built-Up Areas and Poverty Transformation in Tibet." Sustainability 14, no. 14 (2022): 8773. http://dx.doi.org/10.3390/su14148773.

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Understanding the causes of poverty and identifying the transformation characteristics of poverty is the basis for achieving poverty eradication. In order to clarify the availability of construction land for poverty assessment, this paper explores the spatio-temporal synergy between urban built-up areas and poverty transformation in Tibet. The following conclusions are drawn: (1) the built-up areas in Tibetan counties have been growing from 2013 to 2019; (2) the proportion of counties with very low and low levels of relative poverty have decreased significantly, and the overall spatial charact
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45

Qiu, Hailan, Mingrui Feng, Yiming Chi, and Mingzhong Luo. "Agricultural Machinery Socialization Service Adoption, Risks, and Relative Poverty of Farmers." Agriculture 13, no. 9 (2023): 1787. http://dx.doi.org/10.3390/agriculture13091787.

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Agricultural machinery socialization services are an important means of alleviating poverty and promoting agricultural modernization. Based on 2750 items of survey data from farmers in Henan Province, this paper empirically tests the impact and mechanism of agricultural machinery socialization service adoption on the relative poverty of farmers by using a binary logit model and mediation effect model. The results show that the adoption of agricultural machinery socialization services has a significant negative impact on the relative poverty of farmers. The reduction in natural risk plays an in
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46

Gu, Zexian, Xiaoqing Zhao, Pei Huang, Junwei Pu, Xinyu Shi, and Yungang Li. "Identification of Multi-Dimensional Relative Poverty and Governance Path at the Village Scale in an Alpine-Gorge Region: A Case Study in Nujiang, China." International Journal of Environmental Research and Public Health 20, no. 2 (2023): 1286. http://dx.doi.org/10.3390/ijerph20021286.

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Absolute poverty has historically been solved in China, and the focus on poor areas has shifted to addressing relative poverty. To realize the organic combination of the rural revitalization strategy and relative poverty governance, multi-dimensional relative poverty identification and governance path research at the village scale in an alpine-gorge region is required. For this study, the Nujiang Lisu Autonomous Prefecture’s research area in a typical alpine-gorge was chosen. This paper constructed an evaluation index system for the rural regional system based on location conditions, ecologica
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47

Zheng, Ruikun, and Peiyun Li. "A Study on the Measurement of Relative Poverty in Developing Countries with Large Populations." Sustainability 16, no. 13 (2024): 5638. http://dx.doi.org/10.3390/su16135638.

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Under the goal of global poverty eradication, it has become a forward-looking research aim to establish relative poverty criteria and identify people experiencing relative poverty in countries with different demographic characteristics. This paper introduces a new method to measure the relative poverty standard, which is to use the fuzzy decision tree algorithm to objectively estimate the relative poverty standard. The advantage of this algorithm lies in (1) it not only maintaining the regression idea of measuring absolute poverty, but also emphasizing the nonlinearity when the demand is incre
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48

Cheng, Jing, and Xiaobin Yu. "Spatial and temporal differences and convergence analysis of multidimensional relative poverty in ethnic areas." PLOS ONE 19, no. 4 (2024): e0301679. http://dx.doi.org/10.1371/journal.pone.0301679.

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Reducing multidimensional relative poverty is one of the important issues in the current global poverty governance field. This article takes 12 ethnic regions in China as the research object and constructs a multidimensional relative poverty measurement system. The calculated multidimensional relative poverty index is decomposed according to provinces, cities, dimensions, and indicators. Then, the Dagum Gini coefficient and convergence analysis are used to analyze spatiotemporal heterogeneity and convergence characteristics. The results show that the multi-dimensional relative poverty situatio
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Wu, Huiling, Yuehua Liang, Haowan Zhang, and Shengen Xing. "Research on the Mechanism and Effect of Digital Economy in Reducing Rural Relative Poverty." Frontiers in Humanities and Social Sciences 3, no. 5 (2023): 174–79. http://dx.doi.org/10.54691/fhss.v3i5.5063.

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At present, China's poverty alleviation has achieved some results, but there is still relative poverty in some areas. To build digital villages, we will strengthen the "weak links" in poverty alleviation. Through the construction of multi-dimensional poverty index system, the digital economy has a positive poverty reduction effect, but there is some heterogeneity. In the central and western regions, areas with high level of digital economy development and areas with high level of poverty, the poverty reduction effect of digital economy is more obvious. According to the development of digital e
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50

Chan, Tak Wing. "The dynamics of relative poverty in China in a comparative perspective." Chinese Journal of Sociology 8, no. 1 (2022): 29–51. http://dx.doi.org/10.1177/2057150x211068543.

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I use household panel data to study the dynamics of relative poverty in China, Germany, the United Kingdom, and the United States. Compared to the three Western countries, not only is relative poverty more common in China, it is also deeper and more severe. Transient poverty accounts for less than half of the total poverty in Germany or the US, but about two-thirds of that in China or the UK. Over three waves, 87% of Germans, 78% of Britons, 71% of Americans, but only 46% of Chinese were never poor. Using a multinomial logistic regression model, the determinants of poverty are found to be very
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