Relevant bibliographies by topics / Multidimensional poverty measurement

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Academic literature on the topic 'Multidimensional poverty measurement'

Author: Grafiati
Published: 9 March 2023
Last updated: 25 July 2025

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Journal articles on the topic "Multidimensional poverty measurement"

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Macció, Jimena, and Ann Mitchell. "Multidimensional Poverty Measurement in Segregated Cities." Revista Desarrollo y Sociedad, no. 93 (March 3, 2023): 101–37. http://dx.doi.org/10.13043/dys.93.3.

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This paper illustrates the insights that can be gained from using a multidimensional poverty measurement method based on the capability approach to analyse the scale, characteristics, and spatial distribution of poverty in segregated cities. We assess the poverty gaps between formal and informal neighbourhoods and across districts, compare the results with income-based poverty estimates, and analyse the dimensional composition of poverty and disparities across population subgroups. The results show a weaker correlation between multidimensional and income-based measures and less overlap in term
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Sarwar Awan, Masood, Muhammad Waqas, and Muhammad Amir Aslam. "Multidimensional measurement of poverty in Pakistan: Provincial analysis." Nóesis. Revista de Ciencias Sociales y Humanidades 24, no. 48 (2015): 55–72. http://dx.doi.org/10.20983/noesis.2015.2.2.

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Ahmed Hasan, Mustafa, and Eman Muhammad al-Mashhadani. "Robustness & Measurement of Multidimensional Poverty Index in Iraq." Journal of Economics and Administrative Sciences 30, no. 144 (2024): 485–500. https://doi.org/10.33095/n4w7ca27.

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Purpose: This paper aims to measure poverty in Iraq and its sub-indicators using a multidimensional methodology. It also examines the robustness and sensitivity of the estimated indicators and models the determinants of poverty through a binary logistic regression approach. Theoretical framework: Poverty is commonly measured through two primary methodologies. The first is a one-dimensional approach, which defines poverty as insufficient income to meet a specific set of needs required for a decent standard of living. The second is a multidimensional approach, which aligns with Amartya Sen's cap
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Sharma, Lalit, and Kavita Chakravarty. "Multidimensional Poverty Measurement in Haryana." Indian Journal of Human Development 9, no. 1 (2015): 89–101. http://dx.doi.org/10.1177/0973703020150106.

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Alkire, Sabina, and James Foster. "Counting and multidimensional poverty measurement." Journal of Public Economics 95, no. 7-8 (2011): 476–87. http://dx.doi.org/10.1016/j.jpubeco.2010.11.006.

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Bastos, Amélia, and Carla Machado. "Child poverty: a multidimensional measurement." International Journal of Social Economics 36, no. 3 (2009): 237–51. http://dx.doi.org/10.1108/03068290910932738.

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Lairatri Prabandari, Anestia, Ismu Rini Dwi Ari, and Wara Indira Rukmi. "Multidimensional Poverty Measurement of Kotalama Sub-District, Malang City." International Journal of Science and Research (IJSR) 10, no. 7 (2021): 1335–40. https://doi.org/10.21275/sr21723070320.

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Nazarbaeva, Elena A., Alina I. Pishnyak, and Natalia V. Khalina. "Multidimensional poverty: Methodology and calculations on Russian data." Russian Journal of Economics 8, no. (4) (2022): 352–80. https://doi.org/10.32609/j.ruje.8.81710.

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This article focuses on Multidimensional poverty index (MPI)—the alternative approach to poverty measurement. While the official monetary approach is based on a comparison of income with a certain poverty line (until 2021 in Russia it was based on the minimum subsistence level, since 2021 it has been calculated as a share of median income of the population), the MPI also includes deprivations that poor people may face. The text contains the description of the index calculation methodology, the results of its computation on Russian data (Statistical Survey of Income and Participation in Social
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Zhao, Bo, Phaik Kin Cheah, and Priscilla Moses. "Measurement and determinants of multidimensional urban poverty: Evidence from Shandong Province, China." PLOS ONE 19, no. 5 (2024): e0300263. http://dx.doi.org/10.1371/journal.pone.0300263.

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China eliminated rural poverty under current poverty standards in 2020. However, compared with rural poverty, urban poverty in China has been somewhat neglected. This paper aims to discover the changes and determinants of multidimensional urban poverty in Shandong Province, a representative province in Eastern China. Using a nationally representative panel dataset, the China Family Panel Studies, and the Dual Cutoff method, this study creates a multidimensional poverty index with four dimensions and 11 indicators to measure urban poverty in Shandong Province. This paper discovers that while th
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Thimmaiah, Navitha. "Multidimensional Measurement of Poverty in Mysore." Indian Economic Journal 62, no. 4 (2015): 1265–88. http://dx.doi.org/10.1177/0019466220150406.

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Dissertations / Theses on the topic "Multidimensional poverty measurement"

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Diaz, Yadira. "Multidimensional and persistent poverty : methodological approaches to measurement issues." Thesis, University of Essex, 2016. http://repository.essex.ac.uk/17562/.

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Multidimensional deprivation and persistent poverty are important research areas within the poverty measurement literature. Still, both encompass measurement issues for which methodological solutions are yet to be analysed. The thesis that I present here analyses three specific measurement issues, identified as relevant within these research areas, and proposes methodological approaches to tackle each of them. First, it evaluates the effect of different demographic population structures on societal multidimensional deprivation incidence comparisons. The results of this evaluation demonstrate t
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Samur, Zúñiga Antonia Fernanda. "Income and multidimensional child poverty in Chile : using the new poverty measurement methodology." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/130753.

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Seminario para optar al título de Ingeniero Comercial, Mención Economía<br>This seminar addresses child poverty in Chile from the new poverty measurement methodology (released in January 2015 by the Ministry of Social Development), both from an income and a multidimensional approach. The objective is to emphasize the importance of developing appropriate tools to measure and characterize child poverty, given its overrepresentation on poverty measures in the country and the gravity of the negative consequences poverty has over a child’s future development. This work analyzes the evolution of chi
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Gallant, Rochelle Gloria. "A multidimensional analysis of poverty in South Africa since the transition (1996-2007) using the fuzzy sets approach." University of the Western Cape, 2012. http://hdl.handle.net/11394/4596.

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Magister Commercii - MCom<br>With the transition to a democratic society, one of the challenges to emerge was to provide economic freedoms for all – that is, freedom from isolation, freedom from powerlessness, freedom from hunger, and freedom from poverty. Fighting poverty has always been high on the agenda of the democratic government since the transition. Numerous measures and policies were instituted aimed at reducing poverty. Researchers initiated serious efforts to try and understand the nature and extent of poverty, through various studies being conducted. Many of these studies focused o
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TKACH, KATERYNA. "Essays on multidimensional poverty measurement and the dependence among well-being dimensions." Doctoral thesis, Università degli studi dell'Insubria, 2019. http://hdl.handle.net/10281/317984.

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Evaluating the welfare of nations is high on the research agenda of the economists, practitioners and policy-makers. The literature contributions of the last decades triggered a multivariate perception of the well-being, which is suggested to go beyond the GDP, and created a need for more complex approaches to evaluate the welfare as well as poverty. The first essay investigates the approaches to multivariate poverty measurement and focuses on the composite index approach and the steps involved in it. An important aspect of the multivariate perspective in well-being is the dependence amon
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Nunes, Celso Luís Pereira. "Poverty measurement : a theoretical contribution and application to Portugal 2007." Doctoral thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10724.

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Doutoramento em Economia.<br>Neste trabalho apresenta-se uma história do pensamento económico na medição de pobreza - desde o que pode ser considerado o inicio da economia da pobreza ate a era de redescoberta da pobreza durante a década de 1960 - bern como uma revisão da literatura sobre as principais ferramentas de medição da pobreza apresentadas pela Ciência Económica. E ainda apresentado, no âmbito da abordagem multidimensional, uma proposta de um índice de medição de pobreza, inovadora quanto a ponderação dos diferentes atributos considerados como elementos de privação. 0 propósito
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Prince, Breeanna Carroll. "Access to Water: Advancement of Multidimensional, Multiscalar, and Participatory Methods of Measurement in the Global South." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83823.

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This project deploys a modified Water Poverty Index (WPI) in villages reconstructed after the 2004 tsunami in southeastern India. While previous measurements of access to water have advanced understandings of waterscape complexities, this modified WPI improves past efforts and deconstructs some of the previous misunderstandings and notions regarding access to water. The traditional WPI is multidimensional and seeks to measure water access in a holistic fashion; the WPI presented here employs this approach, but is adapted to include new place-based indicators (e.g., Secondary Sources). Furtherm
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Machado, Kenys Menezes. "Mensuração da pobreza: uma comparação entre a renda e a abordagem multidimensional da pobreza na Bahia." Universidade Federal da Bahia, 2006. http://www.adm.ufba.br/sites/default/files/publicacao/arquivo/kenys_menezes_machado.pdf.

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Guillén, Fernández Yedith Betzabé. "Multidimensional poverty measurement from a relative deprivation approach : a comparative study between the United Kingdom and Mexico." Thesis, University of Bristol, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723497.

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Bedük, Selçuk. "Measuring poverty in the EU : investigating and improving the empirical validity in deprivation scales of poverty." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:22f61b32-32a3-4fb3-b0ce-67b1b8fe8c00.

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Non-monetary deprivation indicators are now widely used for studying and measuring poverty in Europe. However, despite their prevalence, the empirical performance of existing deprivation scales has rarely been examined. This thesis i) identifies possible conceptual problems of existing deprivation scales such as indexing, missing dimensions and threshold; ii) empirically assesses the extent of possible error in measurement related to these conceptual problems; and iii) offer an alternative way for constructing deprivation measures to mitigate the identified conceptual problems. The thesis cons
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Rippin, Nicole Isabell (geb Braam) [Verfasser], Stephan [Akademischer Betreuer] Klasen, Sebastian [Akademischer Betreuer] Vollmer, and Matin [Akademischer Betreuer] Qaim. "Considerations of Efficiency and Distributive Justice in Multidimensional Poverty Measurement / Nicole Isabell (geb. Braam) Rippin. Gutachter: Stephan Klasen ; Sebastian Vollmer ; Matin Qaim. Betreuer: Stephan Klasen." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2014. http://d-nb.info/1047706865/34.

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Books on the topic "Multidimensional poverty measurement"

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Wang, Xiaolin. Multidimensional Poverty Measurement. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7.

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Wagle, Udaya. Multidimensional Poverty Measurement. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6.

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Apablaza, Mauricio. Decomposing multidimensional poverty dynamics. Young Lives, 2013.

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Kakwani, Nanak, and Jacques Silber, eds. Quantitative Approaches to Multidimensional Poverty Measurement. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230582354.

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Nanak, Kakwani, and Silber Jacques, eds. Quantitative approaches to multidimensional poverty measurement. Palgrave Macmillan, 2008.

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Nanak, Kakwani, and Silber Jacques, eds. Quantitative approaches to multidimensional poverty measurement. Palgrave Macmillan, 2008.

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Nigerian Economic Society. Annual Conference, ed. Faces of poverty: Multidimensional poverty analysis for Nigeria. The Nigerian Economic Society, 2016.

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Rippin, Nicole. The concept of multidimensional poverty: Accounting for dimensional poverty. Ibero-Amerika Institut für Wirtschaftsforschung, 2009.

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Lemmi, Achille, and Gianni Betti, eds. Fuzzy Set Approach to Multidimensional Poverty Measurement. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34251-1.

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S, Subramanian, and Subramanian S. A Chakravarty-D' Ambrosio class of social exclusion measures as a Foster-Greer-Thorbecke class of the headcount indices of multidimensional deprivation: An interpretive and expository note. Madras Institute of Development Studies, 2009.

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Book chapters on the topic "Multidimensional poverty measurement"

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Wang, Xiaolin. "Poverty Criteria and World Poverty." In Multidimensional Poverty Measurement. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_2.

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Wagle, Udaya. "Introduction." In Multidimensional Poverty Measurement. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_1.

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Wagle, Udaya. "Three Related Concepts of Poverty." In Multidimensional Poverty Measurement. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_2.

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Wagle, Udaya. "Multidimensional Approach to Poverty." In Multidimensional Poverty Measurement. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_3.

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Wagle, Udaya. "Application I: Nepal." In Multidimensional Poverty Measurement. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_4.

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Wagle, Udaya. "Chapter 5 Application II: The United States." In Multidimensional Poverty Measurement. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_5.

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Wagle, Udaya. "Conclusion." In Multidimensional Poverty Measurement. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_6.

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Wang, Xiaolin. "Child Poverty in Rural China: Multidimensional Perspective." In Multidimensional Poverty Measurement. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_10.

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Wang, Xiaolin. "Subjective Well-Being and Poverty of the Elderly in China." In Multidimensional Poverty Measurement. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_7.

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Wang, Xiaolin. "Subjective Well-Being and Relative Poverty of Urban and Rural Residents in China." In Multidimensional Poverty Measurement. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_6.

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Conference papers on the topic "Multidimensional poverty measurement"

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Cheng, Zheng, and Yucheng Teng. "Multidimensional Poverty Measurement on China’s Minority Areas." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164812.

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Ismail, Mohd Khairi, Vikniswari Vija Kumaran, Syamsulang Sarifuddin, et al. "Reassessing Malaysian Poverty Measurement after COVID-19: A Multidimensional Perspective." In International Academic Symposium of Social Science. MDPI, 2022. http://dx.doi.org/10.3390/proceedings2022082048.

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Wu, Yangchenhao. "Multidimensional Poverty Measurement and Poverty Reduction Effect Analysis — Based on the Survey Data of H County in Southern Shaanxi." In Hradec Economic Days 2022, edited by Jan Maci, Petra Maresova, Krzysztof Firlej, and Ivan Soukal. University of Hradec Kralove, 2022. http://dx.doi.org/10.36689/uhk/hed/2022-01-084.

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Cheng, Shiyong, Na Li, and Senlin Xiang. "Multidimensional Poverty Measurement of Migrant worker and Factors Analysis during Urbanization of China - a Sample from Construction Industry." In 2016 International Conference on Public Management. Atlantis Press, 2016. http://dx.doi.org/10.2991/icpm-16.2016.97.

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Zhao, Jing. "Research on Multidimensional Poverty of Chinese Rural Elderly Women: Based on the 2018 CLHLS Data and Alkire-Foster Measurement Model." In 2021 International Conference on Public Management and Intelligent Society (PMIS). IEEE, 2021. http://dx.doi.org/10.1109/pmis52742.2021.00029.

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Cabrera, Gabriela Pilar, Liliana Mabel Tauber, Juan Antonio Gili, and Daniel Eduardo Romero. "Transumeration as an Input for Critical Thinking." In Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t3a3.

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In the framework of the pilot test of a model to evaluate and characterize the critical statistical literacy of university students, mediated by the constant comparative method, a clipping of a task focused on the understanding and interpretation of graphs on multidimensional poverty in Argentina is analyzed. in 2021, the answers provided by 43 students and a class based on the task emerging from the base task. Errors and difficulties were found in the students' transnumeration process, which could hinder the development of critical thinking. It is concluded that transnumeration, when it inter
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Huang, Yini, and Weihuan Jia. "Multidimensional Poverty Measurement and Cause Analysis of Sichuan Qiang Ethnic Minority -- Based on the Investigation of 245 Poor Households in Mao County." In 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/iceemr-18.2018.119.

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Reports on the topic "Multidimensional poverty measurement"

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Alkire, Sabina, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche, and Paola Ballon. Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework. University of Oxford, 2015. http://dx.doi.org/10.35648/20.500.12413/11781/ii031.

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Yagci, Mustafa. Impact of Global Crises on Poverty: Measurement, Trends, and Challenges. Islamic Development Bank Institute, 2023. http://dx.doi.org/10.55780/re24028.

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While poverty is generally measured using a monetary basis, it is widely acknowledged that poverty is characterized by multiple dimensions beyond income poverty. This blog post compares the various multidimensional measures of poverty and finds that some of the gains in poverty eradication in the previous decades are likely lost due to the COVID-19 pandemic and other adverse shocks to the global economy. While access to the latest poverty data remains a challenge, evidence shows that Sub-Saharan Africa and South Asia host the largest number of poor people. Rural and children’s poverty levels a
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