Journal articles: 'Multidimensional poverty measurement'

1

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 (July 1, 2015): 55–72. http://dx.doi.org/10.20983/noesis.2015.2.2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

Abstract:

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 terms of who is identified as poor in informal settlements than in the rest of the city. After adjusting for underrepresentation of the slum population in the household survey, informal settlements account for 10% of the city's population but nearly half of the multidimensionally poor. The results highlight the need to design poverty reduction policies that target informal neighbourhoods.

APA, Harvard, Vancouver, ISO, and other styles

3

Sharma, Lalit, and Kavita Chakravarty. "Multidimensional Poverty Measurement in Haryana." Indian Journal of Human Development 9, no. 1 (January 2015): 89–101. http://dx.doi.org/10.1177/0973703020150106.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Bastos, Amélia, and Carla Machado. "Child poverty: a multidimensional measurement." International Journal of Social Economics 36, no. 3 (February 13, 2009): 237–51. http://dx.doi.org/10.1108/03068290910932738.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Thimmaiah, Navitha. "Multidimensional Measurement of Poverty in Mysore." Indian Economic Journal 62, no. 4 (January 2015): 1265–88. http://dx.doi.org/10.1177/0019466220150406.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Bennett, Christopher J., and Shabana Mitra. "Multidimensional Poverty: Measurement, Estimation, and Inference." Econometric Reviews 32, no. 1 (January 2013): 57–83. http://dx.doi.org/10.1080/07474938.2012.690331.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Decancq, Koen, Marc Fleurbaey, and François Maniquet. "Multidimensional poverty measurement with individual preferences." Journal of Economic Inequality 17, no. 1 (March 2019): 29–49. http://dx.doi.org/10.1007/s10888-019-09407-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Dirksen, Jakob, and Sabina Alkire. "Children and Multidimensional Poverty: Four Measurement Strategies." Sustainability 13, no. 16 (August 14, 2021): 9108. http://dx.doi.org/10.3390/su13169108.

Full text

Abstract:

Empirically, official multidimensional measures of poverty often show children to be the poorest age group. Such poverty measures and their analysis can be used to directly inform policies to reduce children’s multiple deprivations. This paper introduces methods to produce official national statistics on multidimensional poverty that inform child-focused anti-poverty policies. In doing so, it recognises the importance of parsimonious, consistent measures, given practical constraints such as policy makers’ time. The paper does not recommend constructing several disjoint poverty measures which cannot be straightforwardly interpreted and used alongside one another, as these may create confusion or dilute policy attention. To create a compact and high-information measurement platform, the paper introduces four measurement strategies that have been used to directly uncover policy-relevant data on children’s experience of multidimensional poverty, and that are consistent with official population-level statistics. The four are as follows: (1) Include children’s deprivations as indicators of multidimensional poverty in national measures. (2) Disaggregate multidimensional poverty indices and their associated information platform to compare children and adults. (3) Analyse individual child deprivations and explore gendered and intra-household inequalities. (4) Construct an individual measure of child multidimensional poverty that is directly linked to the official national measure, but contains additional indicators across the life course of children. The paper illustrates these four strategies and the child-relevant statistics they yield, using examples from official poverty measures and previous research. It discusses the strengths and challenges of each method from conceptual, policy, and technical perspectives, and examines how they can be used for descriptive and prescriptive purposes in line with the Sustainable Development Goals.

APA, Harvard, Vancouver, ISO, and other styles

10

Choi Gyun, 권종희, and 서병수. "Measurement of Multidimensional Poverty by Counting Approach." Korean Journal of Social Welfare 63, no. 1 (February 2011): 85–111. http://dx.doi.org/10.20970/kasw.2011.63.1.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Alkire, Sabina, and James Foster. "Understandings and misunderstandings of multidimensional poverty measurement." Journal of Economic Inequality 9, no. 2 (June 2011): 289–314. http://dx.doi.org/10.1007/s10888-011-9181-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Alkire, Sabina, and Maria Emma Santos. "A Multidimensional Approach: Poverty Measurement & Beyond." Social Indicators Research 112, no. 2 (February 13, 2013): 239–57. http://dx.doi.org/10.1007/s11205-013-0257-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Gallardo, Mauricio. "Measuring Vulnerability to Multidimensional Poverty." Social Indicators Research 148, no. 1 (September 19, 2019): 67–103. http://dx.doi.org/10.1007/s11205-019-02192-y.

Full text

Abstract:

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.

APA, Harvard, Vancouver, ISO, and other styles

14

Ambel, Alemayehu Azeze, Harriet Kasidi Mugera, and Robert E. S. Bain. "Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia." PLOS ONE 15, no. 12 (December 15, 2020): e0243921. http://dx.doi.org/10.1371/journal.pone.0243921.

Full text

Abstract:

The Multidimensional Poverty Index is used increasingly to measure poverty in developing countries. The index is constructed using selected indicators that cover health, education, and living standards dimensions. The accuracy of this tool, however, depends on how each indicator is measured. This study explores the effect of accounting for water quality in multidimensional poverty measurement. Access to drinking water is traditionally measured by water source types. The study uses a more comprehensive measure, access to safely managed drinking water services, which are free from E. coli contamination, available when needed and accessible on premises in line with Sustainable Development Goal target 6.1. The study finds that the new measure increases national multidimensional headcount poverty by 5–13 percentage points, which would mean that 5–13 million more people are multidimensionally poor. It also increases the poverty level in urban areas to a greater extent than in rural areas. The finding is robust to changes in water contamination risk levels and Multidimensional Poverty Index aggregation approaches and weighting structures.

APA, Harvard, Vancouver, ISO, and other styles

15

Delalić, Adela, Rabija Somun-Kapetanović, and Emina Resić. "New multidimensional approaches to poverty measurement in Bosnia and Herzegovina." Croatian Review of Economic, Business and Social Statistics 3, no. 1 (June 1, 2017): 1–15. http://dx.doi.org/10.1515/crebss-2017-0001.

Full text

Abstract:

AbstractUnlike the standard unidimensional poverty indices, based mostly on monetary poverty measures, multidimensional poverty indices may include numerous non-monetary poverty indicators. This study utilized fuzzy and Alkire – Foster (AF) and fuzzy methodology to assess the poverty level in Bosnia and Herzegovina (B&H) and to compare the results with official poverty assessments. In addition to consumption as a monetary measure, we constructed AF and fuzzy indices by including numerous non-monetary measures that indicate housing quality, possession of durable goods and the household structure. AF multidimensional indices for B&H are calculated based on data from Household Budget Surveys (2004, 2007 and 2011) and fuzzy poverty indices are calculated based on data from HBS 2011. This research has found the differences in the values, direction and dynamics between unidimensional and multidimensional approaches to poverty measurement. Authors state that it is not sufficient to base the creation of more efficient social policies and poverty reduction strategies exclusively on unidimensional indices that address just one dimension of poverty.

APA, Harvard, Vancouver, ISO, and other styles

16

Sial, Maqbool H., Asma Noreen, and Rehmat Ullah Awan. "Measuring Multidimensional Poverty and Inequality in Pakistan." Pakistan Development Review 54, no. 4I-II (December 1, 2015): 685–98. http://dx.doi.org/10.30541/v54i4i-iipp.685-698.

Full text

Abstract:

The key development objective of Pakistan, since its existence, has been to reduce poverty, inequality and to improve the condition of its people. While this goal seems very important in itself yet is also necessary for the eradication of other social, political and economic problems. The objective to eradicate poverty has remained same but methodology to analysing this has changed. It can be said that failure of most of the poverty strategies is due to lack of clear choice of poverty definition. A sound development policy including poverty alleviation hinges upon accurate and well-defined measurements of multidimensional socio-economic characteristics which reflect the ground realities confronting the poor and down trodden rather than using some abstract/income based criteria for poverty measurement. Conventionally welfare has generally been measured using income or expenditures criteria. Similarly, in Pakistan poverty has been measured mostly in uni-dimension, income or expenditures variables. However, recent literature on poverty has pointed out some drawbacks in measuring uni-dimensional poverty in terms of money. It is argued that uni-dimensional poverty measures are insufficient to understand the wellbeing of individuals. Poverty is a multidimensional concept rather than a unidimensional. Uni-dimensional poverty is unable to capture a true picture of poverty because poverty is more than income deprivation

APA, Harvard, Vancouver, ISO, and other styles

17

Lekobane, Khaufelo Raymond, and Keetie Roelen. "Leaving No One Behind: Multidimensional Child Poverty in Botswana." Child Indicators Research 13, no. 6 (May 18, 2020): 2003–30. http://dx.doi.org/10.1007/s12187-020-09744-6.

Full text

Abstract:

Abstract Child poverty measurement is vital for informing policies and for improving children’s lives. Nevertheless, efforts to measure (child) poverty remain dominated mainly by monetary approaches, and many countries fail to monitor multidimensional child poverty. Using the 2015/2016 Botswana multi-topic household survey, this study developed a child-centred, individual-level and composite measure that offers nationally relevant and context-specific insights into the magnitude and depth of multidimensional child poverty in Botswana. In particular, it did so through the lens of Leave No One Behind (LNOB) by zooming in on demographic, economic and geographical characteristics that may be associated with greater vulnerability or marginalisation using both descriptive and regression analysis. Results point towards a relatively high incidence and depth of multidimensional child poverty in Botswana. Results show that disabled children, orphans, children living in larger families, families headed by unmarried couples and living in rural areas are more likely to be multidimensionally poor.

APA, Harvard, Vancouver, ISO, and other styles

18

Phat, Huynh Dinh. "Indicators used in measuring poverty under the multidimentional approach: a case study in Quang Ngai province." Science & Technology Development Journal - Economics - Law and Management 4, no. 2 (June 21, 2020): First. http://dx.doi.org/10.32508/stdjelm.v4i2.624.

Full text

Abstract:

Since the concept of multidimensional poverty was initiated in Sen’s works, coupled with the national database providing increasingly complete information on meeting the basic needs of the society, the measurement and evaluation of multidimensional poverty have become popular and attracted the attention of many researchers. The multidimensional poverty line can be based on indicators that are not related to incomes or expenditures. However, it includes other dimensions such as the lack of basic social services. Hence, measuring and implementing poverty reduction policies under the multidimensional approach should be comprehensive in all aspects and cover fields such as education, health, and living conditions (including housing, water supply, possession of sustainable assets, etc.). Since 2016, Quang Ngai province has changed from using the unidimensional to multidimensional poverty measurement method following Decision No. 59/2015/QD-TTg on the multidimensional approach poverty lines applicable for the period 2016-2020. From studies and consultation with experts and researchers in the field of poverty reduction, 11 indicators suitable for measuring multidimensional poverty in Quang Ngai province were proposed, including education level of adults; school attendance of children; access to health services; health insurance, social assistance; child mortality; nutrition; housing quality; fuel used for cooking; water supply sources; toilets; and the possession of sustainable assets.

APA, Harvard, Vancouver, ISO, and other styles

19

Tripathi, Sabyasachi, and Komali Yenneti. "Measurement of Multidimensional Poverty in India: A State-level Analysis." Indian Journal of Human Development 14, no. 2 (August 2020): 257–74. http://dx.doi.org/10.1177/0973703020944763.

Full text

Abstract:

This article measures Multidimensional Poverty Index (MPI) in India using National Sample Survey (NSS) data on “Consumption Expenditure” for the period 2004–2005 and 2011–2012, adopting Alkire and Foster’s (2011, Journal of Public Economics, vol. 95, pp. 476–487) methodology. It considers three main indicators, namely standard of living, education and income at the level of households or persons. The results show that multidimensional poverty head count has declined from 62.2 per cent in 2004–2005 to 38.4 per cent in 2011–2012. However, separate rural and urban regional analysis clearly indicates a sharp decline in rural poverty compared to urban poverty reduction. Lack of education of the household members made the highest contribution to poverty, followed by income and standard of living in India. A state-level analysis shows that Jharkhand, Uttar Pradesh, Rajasthan, Orissa, Bihar, Chhattisgarh and Arunachal Pradesh have a higher poverty head count ratio, while Kerala, Mizoram, Nagaland, Punjab, Himachal Pradesh and Haryana have a lower poverty rate.

APA, Harvard, Vancouver, ISO, and other styles

20

Thimmaiah, Navitha. "Multidimensional Measurement of Poverty: A Study in Mysore." Indian Journal of Human Development 9, no. 2 (July 2015): 235–59. http://dx.doi.org/10.1177/0973703020150205.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Chattier, Priya. "Multidimensional, Gender-Sensitive Poverty Measurement: Perspectives from Fiji." Contemporary Pacific 28, no. 1 (2016): 31–57. http://dx.doi.org/10.1353/cp.2016.0012.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Permanyer, Iñaki. "Book review of Multidimensional Poverty Measurement and Analysis." Journal of Economic Inequality 14, no. 3 (April 27, 2016): 353–56. http://dx.doi.org/10.1007/s10888-016-9331-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Jamal, Haroon. "Assessing Poverty with Non-Income Deprivation Indicators: Pakistan, 2008-09." Pakistan Development Review 50, no. 4II (December 1, 2011): 913–27. http://dx.doi.org/10.30541/v50i4iipp.913-927.

Full text

Abstract:

The approach to measure poverty in terms of financial deprivation has been widely criticised in the literature of welfare and wellbeing. It is argued that to understand the complex phenomenon of poverty or to evaluate household or individual wellbeing, a multidimensional exercise is imperative. This research quantifies the level of multidimensional poverty in Pakistan using household data of Pakistan Social and Living Standard Measurement Survey. Multidimensional poverty in terms of the popular FGT (headcount, poverty gap, poverty severity) indices is estimated for the year 2009. Indicators of human poverty, poor housing and deprivation in household physical assets are included in estimating poverty in multi-dimensional context. For assessing the inter-temporal consistency in the methodology, poverty indices are also developed for the year 2005. JEL classification: I32, I31 Keywords: Poverty, Multidimensional, Categorical Principal Component Analysis, Poverty Indices, Pakistan

APA, Harvard, Vancouver, ISO, and other styles

24

Bulanova, M. A. "Poverty assessment in Russia: dependence on the measurement methodology." POWER AND ADMINISTRATION IN THE EAST OF RUSSIA 94, no. 1 (2021): 157–69. http://dx.doi.org/10.22394/1818-4049-2021-94-1-157-169.

Full text

Abstract:

Poverty reduction is one of the main objectives of the state policy in the Russian Federation. In the decree of the President of the Russian Federation No. 474 of 21.07.2020 «On the national goals of the Russian Federation for the period up to 2030,» a target is determined - reducing the poverty level by half by 2030. To measure poverty in the Russian Federation until 2021, the absolute concept was used. Within the framework of this concept, it is planned to create a minimum standard on the basis of which the level of poverty was determined. In the Russian Federation, a consumer basket is adopted as a standard, on the basis of which the cost of living is calculated. The cost of living is the threshold for poverty. Since 2021, the methodology for measuring poverty has changed, the calculation is based on the relative concept, the median method is used to measure poverty. A number of countries also use the multidimensional poverty concept with a set of indicators to measure poverty. The article provides a comparative analysis of methodological approaches for poverty assessment. The article proves that the level of poverty depends on the methodological approach underlying its measurement. The author believes that only a multidimensional approach to measuring poverty will contribute to the development of effective public policies to overcome poverty.

APA, Harvard, Vancouver, ISO, and other styles

25

Abdul Rahman, Muhamad Zulfadli, Mohammad Taqiuddin Mohamad, and Muhammad Shamshinor Abdul Azzis. "Indeks Kemiskinan Multidimensi Global: Analisis Menurut Perspektif Maqasid Syariah (Global Multidimensional Povety Index: An Analysis According to Maqasid Syariah Perspectives)." UMRAN - International Journal of Islamic and Civilizational Studies 9, no. 1 (February 28, 2022): 1–22. http://dx.doi.org/10.11113/umran2022.9n1.544.

Full text

Abstract:

Poverty is often associated with the issue of lack of income. However, when questions such as "do children get the education they deserve?", "does a family get the right health services?" and "does the community receive the clean water and electricity supply it needs?" cannot be answered well, then it is a sign that poverty still exists from a multidimensional view. This study applies library methods, textual and contextual analysis methods by taking into the five elements of Shariah Maqasid in the context of multidimensional poverty and extracted based on inductive, deductive, and comparative methods. The results of the study show that multidimensional poverty has a direct relationship to Maqasid Syariah. All dimensions of multidimensional poverty such as education, health, and living standards have their importance in preserving the five elements of Maqasid Syariah, namely religion, intellect, soul, lineage, and property. In the education aspect, achievement in this aspect must take into account both types of educational streams, namely fardu ain and fardu kifayah. In the health aspect, emphasis is given to the prevention of disease as well as a balanced diet by taking into the source of treatment and halal supply for both. While in the aspect of living standards, the accumulation of wealth serves as a pillar to build a more prosperous life, providing benefits to human beings, rewards, and favors given by Allah SWT to his servants and is a test in human life. This study is seen to contribute to improving the shortcomings that exist in the existing multidimensional poverty measurement through the application of poverty measurement elements based on the perspective of Maqasid Syariah as an added value in creating a comprehensive multidimensional poverty measurement as discussed by Islam.

APA, Harvard, Vancouver, ISO, and other styles

26

Soseco, Thomas, Isnawati Hidayah, and Ayu Dwidyah Rini. "Gender Determinant on Multidimensional Poverty Index: Evidence from Indonesia." Jurnal Ilmu Sosial dan Ilmu Politik 26, no. 2 (October 19, 2022): 137. http://dx.doi.org/10.22146/jsp.69320.

Full text

Abstract:

Poverty measurement from a non-monetary aspect is needed as low-income individuals are not always multidimensionally poor, and vice versa. The focus should also be on the gender determinant potentially related to the inequality in wage, labour market, and the return of education, which can influence the household’s ability to achieve a higher standard of living and alleviate poverty. This paper discovers the contribution of gender determinants to multidimensional poverty conditions in Indonesia. This paper used logit estimation using National Socioeconomics Survey (Susenas) 2018. The data show that approximately 10% of the Indonesian population is considered vulnerably poor, and severely poor is 3%. The vulnerably and severely poor individuals are mostly measured from years of schooling, health insurance ownership, and assets ownership. Moreover, we find that variables of household size, dependency ratio, and household head age are the better explanators of poverty’s vulnerability. However, those variables cannot explain severe poverty among female- and male-headed households, even though female-headed households are more prone to falling into poverty situations. Then, the decomposition results show that our selected variables explain the probability of being vulnerable poor. However, the probability of being severely poor is largely determined by unobservable behaviour domination not included in the study.

APA, Harvard, Vancouver, ISO, and other styles

27

Melak, Surafel, and Anupama. "On the Measurement of Multidimensional Vulnerabilityto Poverty in Ethiopia." Indian Journal of Economics and Development 15, no. 3 (2019): 341. http://dx.doi.org/10.5958/2322-0430.2019.00044.1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Weber, Sylvain. "Multidimensional Poverty Measurement: Concepts and Applications, by Udaya Wagle." Eastern Economic Journal 37, no. 3 (May 2011): 431–33. http://dx.doi.org/10.1057/eej.2009.44.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Nowak, Daniel, and Christoph Scheicher. "Considering the Extremely Poor: Multidimensional Poverty Measurement for Germany." Social Indicators Research 133, no. 1 (June 11, 2016): 139–62. http://dx.doi.org/10.1007/s11205-016-1365-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Chen, Ke-Mei, Chao-Hsien Leu, and Te-Mu Wang. "Measurement and Determinants of Multidimensional Poverty: Evidence from Taiwan." Social Indicators Research 145, no. 2 (April 8, 2019): 459–78. http://dx.doi.org/10.1007/s11205-019-02118-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Kim, Sung-Geun. "Fuzzy Multidimensional Poverty Measurement: An Analysis of Statistical Behaviors." Social Indicators Research 120, no. 3 (April 11, 2014): 635–67. http://dx.doi.org/10.1007/s11205-014-0616-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Salahuddin, Taseer, and Asad Zaman. "Multidimensional Poverty Measurement in Pakistan :Time Series Trends and Breakdown." Pakistan Development Review 51, no. 4II (December 1, 2012): 493–504. http://dx.doi.org/10.30541/v51i4iipp.493-504.

Full text

Abstract:

In the recent literature, consensus has emerged that poverty is a multidimensional phenomenon; see Alkire and Santos (2010) for a review of the major arguments. Nonetheless, the most widely used measures of poverty remain unidimensional, being based on income or caloric intake cutoffs. The logic for the use of income based measures was that it was only lack of income which led to deprivation—with sufficient income; rational agents would automatically eliminate deprivations in all dimensions in the right sequence of priorities. However, careful studies like Thorbecke (2005) and Banerjee and Duflo (2006) show that this does not happen. Even while malnourished and underfed, the poor spend significant portions of their budgets on festivals, weddings, alcohol, tobacco and other non-essential items. The move from abstract theoretical speculation based on mathematical models of human behaviour to experiments and observations of actual behaviour has led to dramatic changes in the understanding of poverty and how to alleviate it. Some of these insights are encapsulated in a new approach to poverty advocated by Banerjee and Duflo (2011).

APA, Harvard, Vancouver, ISO, and other styles

33

Abdul Rahman, Mariah, Nor Samsiah Sani, Rusnita Hamdan, Zulaiha Ali Othman, and Azuraliza Abu Bakar. "A clustering approach to identify multidimensional poverty indicators for the bottom 40 percent group." PLOS ONE 16, no. 8 (August 2, 2021): e0255312. http://dx.doi.org/10.1371/journal.pone.0255312.

Full text

Abstract:

The Multidimensional Poverty Index (MPI) is an income-based poverty index which measures multiple deprivations alongside other relevant factors to determine and classify poverty. The implementation of a reliable MPI is one of the significant efforts by the Malaysian government to improve measures in alleviating poverty, in line with the recent policy for Bottom 40 Percent (B40) group. However, using this measurement, only 0.86% of Malaysians are regarded as multidimensionally poor, and this measurement was claimed to be irrelevant for Malaysia as a country that has rapid economic development. Therefore, this study proposes a B40 clustering-based K-Means with cosine similarity architecture to identify the right indicators and dimensions that will provide data driven MPI measurement. In order to evaluate the approach, this study conducted extensive experiments on the Malaysian Census dataset. A series of data preprocessing steps were implemented, including data integration, attribute generation, data filtering, data cleaning, data transformation and attribute selection. The clustering model produced eight clusters of B40 group. The study included a comprehensive clustering analysis to meaningfully understand each of the clusters. The analysis discovered seven indicators of multidimensional poverty from three dimensions encompassing education, living standard and employment. Out of the seven indicators, this study proposed six indicators to be added to the current MPI to establish a more meaningful scenario of the current poverty trend in Malaysia. The outcomes from this study may help the government in properly identifying the B40 group who suffers from financial burden, which could have been currently misclassified.

APA, Harvard, Vancouver, ISO, and other styles

34

Emeka Eze and Justin C. Alugbuo. "Nigeria's multidimensional poverty analysis: A subgroup and dimensional breakdown." World Journal of Advanced Research and Reviews 11, no. 2 (August 30, 2021): 219–26. http://dx.doi.org/10.30574/wjarr.2021.11.2.0383.

Full text

Abstract:

This study is an attempt to analyze the nature of multidimensional poverty in Nigeria in the light of recent data. The study used data from the Nigerian standard of living and measurement survey (LSMS) 2018/2019 to estimate the overall MPI for Nigeria, which included six indices of deprivation from four dimensions: consumption, education, energy, and housing. The study also performed a decomposition of multidimensional poverty across Nigerian regions, as well as a dimensional breakdown of multidimensional poverty across Nigeria and across regions. According to the study, Nigeria's multidimensional poverty index is 0.34, with a headcount ratio of 0.64 when the deprivation cutoff is 1, implying that roughly 64 percent of Nigerians are poor in at least one of the four areas studied. The North West, North East, and North Central regions, on the other hand, account for the majority of Nigeria's multidimensional poverty, accounting for more than 70% of the country's total multidimensional poverty. The South West has the lowest poverty rate, followed by the South South and the South East. Deprivations in Education, Energy, Consumption, and Housing, according to the report, are the most significant contributors to MPI. The study recommends that policies aimed at reducing poverty must take into account the distribution of multidimensional poverty in Nigeria so as to be able to get to the targeted audience. Secondly, there is a need to improve investment in Education and Energy so as to reduce overall multidimensional poverty in Nigeria.

APA, Harvard, Vancouver, ISO, and other styles

35

Wang, Wei, Xin Luo, Chongmei Zhang, Jiahao Song, and Dingde Xu. "Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China." International Journal of Environmental Research and Public Health 18, no. 21 (October 27, 2021): 11288. http://dx.doi.org/10.3390/ijerph182111288.

Full text

Abstract:

This study explores the impact of farmland transfer on the multidimensional relative poverty of the elderly in rural areas to provide a reference for the study of rural land transfer in China and improve the welfare system for the elderly. Based on the China Family Panel Studies (CFPS) rural sample data in 2018, this paper uses the AF multidimensional index measurement method to assess multidimensional relative poverty in rural areas. Logit regression estimation examines the single index poverty of rural older adults transferred from rural land and the impact of multidimensional relative poverty, using the propensity score matching method (PSM) to analyze the results’ robustness. The transfer of agricultural land has different impacts on the poverty of different rural elderly poverty indicators and negatively affects the comprehensive effect of rural elderly poverty. The transfer of agricultural land significantly alleviates rural elderly poverty. Reasonable and effective transfer of agricultural land, together with improved rural social security and a caring service system for the elderly, will promote the continuous operation of large-scale agricultural operations and alleviate rural elderly poverty.

APA, Harvard, Vancouver, ISO, and other styles

36

Bhattarai, Lekha Nath. "Nature of Multidimensional Poverty Incidence in Rural Nepal: Empirical Evidences from Bhalam VDC, Kaski." Economic Literature 12 (May 10, 2016): 16. http://dx.doi.org/10.3126/el.v12i0.14882.

Full text

Abstract:

<p>This paper attempts to exercise the Oxford Poverty and Human Development Initiative’s methodology to measure the multidimensional poverty at the local (village) level. Various measures of Multidimensional poverty has been estimated and decomposed to the various sub groups of the sampled household of the then Bhalam VDC of the Kaski District, in West Nepal. Stratified random technique was applied to select the 150 sample households to conduct household survey to get required data for the measurement and analysis of poverty. The results of the analysis follows almost similar pattern of various measures of multidimensional poverty estimates of the Oxford latest study. It is also revealed from the study that multidimensional poverty incidence and intensity were highly associated with the household socioeconomic characteristics such as Caste and ethnicity, land holding, gender and educational level of the household head and the family size.</p><p>Economic Literature Vol.12 2014: 16-25</p>

APA, Harvard, Vancouver, ISO, and other styles

37

Menshikh, Daria. "RENEWED CONCEPT OF POVERTY IN RUSSIA AS A FOUNDATION FOR SOCIAL POLICY." Scientific Research of Faculty of Economics. Electronic Journal 9, no. 1 (March 28, 2017): 65–78. http://dx.doi.org/10.38050/2078-3809-2017-9-1-65-78.

Full text

Abstract:

The theoretical and methodological approaches to measuring poverty are based on several basic concepts: the concept of basic needs, the concept of multidimensional absolute deprivation, the concept of multidimensional relative deprivation, the concept of poverty in terms of capabilities. In the Russian Federation, the monetary concept of poverty is generally accepted for poverty measurement and assessment. However, the definition of poverty within the monetary concept seems to be insufficient to identify the poor. The article provides some arguments for the necessity to move from the existing monetary concept of poverty. Cluster analysis had shown that the use of monetary concept of poverty leads to the distorted estimates of poverty and makes it impossible to create policies to combat poverty.

APA, Harvard, Vancouver, ISO, and other styles

38

Salam, Abdus, Devanto Shasta Pratomo, and Putu Mahardika Adi Saputra. "Analisis kemiskinan pada rumah tangga di Jawa Timur melalui pendekatan multidimensi dan moneter." Jurnal Kependudukan Indonesia 16, no. 2 (March 31, 2022): 127. http://dx.doi.org/10.14203/jki.v16i2.480.

Full text

Abstract:

The first goal of the Sustainable Development Goals (SDGs) is to eradicate poverty in quantity and reduce poverty in various forms. The problem of poverty is often seen as a unidimensional problem. However, the measurement of poverty which uses only a monetary point of view is not enough to explain the deprivation experienced by the poor. Using the 2018 Indonesian National Socio-economic Survey (Susenas), this study analyzes the effect of household socioeconomic characteristics on multidimensional poverty status. Socioeconomic factors do not always have the same effect on multidimensional poverty or monetary poverty. The status of formal workers is only significant in monetary poverty. Regional topography has a strong influence on multidimensional poverty alone. Non-formal credit only affects monetary poverty and its direction is positive, whereas the distance to a public health centre (Puskesmas) only affects households that experience poverty and multidimensional poverty. Government efforts in reducing poverty may include re-promotion of family planning programs, expansion of Program Keluarga Harapan (PKH) services for households with disabilities, promotion of non-formal education programs in pursuit of education equivalency programmes (Kejar Paket A/B/C), as well as improvement of financial access to the community, especially to the poor through formal institutions, asphalt village road infrastructure, and improved health services in Puskesmas dan hospitalization facilities

APA, Harvard, Vancouver, ISO, and other styles

39

Afzal, Muhammad, Shamim Rafique, and Farhan Hameed. "Measurement of Living Standards Deprivation in Punjab Using AF Method (Periodical Comparison Approach)." Pakistan Development Review 54, no. 4I-II (December 1, 2015): 739–63. http://dx.doi.org/10.30541/v54i4i-iipp.739-763.

Full text

Abstract:

In spite of taking and implementing various special measures by the government of Punjab and the Pakistan to alleviate poverty in Punjab, poverty is still there and has become a constraint in the way of economic progress and prosperity of the people of the Punjab-Pakistan. Poverty is pronounced deprivation in well-being. The conventional view links well-being primarily to command over commodities, so the poor are those who do not have enough income or consumption to put them above some adequate minimum threshold. The broadest approach to well-being and hence poverty focuses on the capability of the individual to properly function in the society. The poor lack key capabilities, and may have inadequate income or education, and last but not the least living standards. How we measure poverty can importantly influence how we come to understand it, how we analyse it, and how we create policies to influence it. In recent years, the literature on multidimensional poverty measurement has blossomed in a number of different directions. The 1997 Human Development Report vividly introduced poverty as a multidimensional phenomenon, and the Millennium Declaration and Millennium Development Goals (MDGs) have highlighted multiple dimensions of poverty since 2000.

APA, Harvard, Vancouver, ISO, and other styles

40

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

Full text

Abstract:

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 articulate an alternative framework,Poverty as Capability Deprivation, drawing on Amartya Sen’s capability approach, and argue that this provides more persuasive explanations as to why some nations have greater poverty than others and why poverty remains a problem even in the richest nations.

APA, Harvard, Vancouver, ISO, and other styles

41

Saeed, Noman, and Ambreen Fatima. "Educational Inequality in Rural and Urban Sindh." Pakistan Development Review 54, no. 4I-II (December 1, 2015): 767–77. http://dx.doi.org/10.30541/v54i4i-iipp.767-777.

Full text

Abstract:

The key development objective of Pakistan, since its existence, has been to reduce poverty, inequality and to improve the condition of its people. While this goal seems very important in itself yet is also necessary for the eradication of other social, political and economic problems. The objective to eradicate poverty has remained same but methodology to analysing this has changed. It can be said that failure of most of the poverty strategies is due to lack of clear choice of poverty definition. A sound development policy including poverty alleviation hinges upon accurate and well-defined measurements of multidimensional socio-economic characteristics which reflect the ground realities confronting the poor and down trodden rather than using some abstract/income based criteria for poverty measurement. Conventionally welfare has generally been measured using income or expenditures criteria. Similarly, in Pakistan poverty has been measured mostly in uni-dimension, income or expenditures variables. However, recent literature on poverty has pointed out some drawbacks in measuring uni-dimensional poverty in terms of money. It is argued that uni-dimensional poverty measures are insufficient to understand the wellbeing of individuals. Poverty is a multidimensional concept rather than a unidimensional. Uni-dimensional poverty is unable to capture a true picture of poverty because poverty is more than income deprivation

APA, Harvard, Vancouver, ISO, and other styles

42

Lanau, Alba, Joanna Mack, and Shailen Nandy. "Including services in multidimensional poverty measurement for SDGs: modifications to the consensual approach." Journal of Poverty and Social Justice 28, no. 2 (June 1, 2020): 149–68. http://dx.doi.org/10.1332/175982720x15850580703755.

Full text

Abstract:

Poor households disproportionately lack access to services, yet this is rarely considered in poverty measures. Service provision can vary significantly between and within countries, and so similar levels of household resources may translate to very different living standards. Where universal provision of basic services is lacking, current approaches to poverty measurement may result in underestimates, thereby raising comparability and identification issues. We propose a conceptual framework to incorporate service provision into multidimensional poverty measures, based on a modification to the consensual approach. The modification would create improved context-specific poverty measures, enabling a more nuanced understanding about effective access to services.

APA, Harvard, Vancouver, ISO, and other styles

43

Waglé, Udaya R. "Multidimensional poverty: An alternative measurement approach for the United States?" Social Science Research 37, no. 2 (June 2008): 559–80. http://dx.doi.org/10.1016/j.ssresearch.2007.06.013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Moisio, Pasi. "A Latent Class Application to the Multidimensional Measurement of Poverty." Quality & Quantity 38, no. 6 (December 2004): 703–17. http://dx.doi.org/10.1007/s11135-004-5940-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Wang, Yanhui, Yefeng Chen, Yao Chi, Wenji Zhao, Zhuowei Hu, and Fuzhou Duan. "Village-level multidimensional poverty measurement in China: Where and how." Journal of Geographical Sciences 28, no. 10 (August 25, 2018): 1444–66. http://dx.doi.org/10.1007/s11442-018-1555-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Nasri, Khaled, and Besma Belhadj. "Multidimensional poverty measurement in Tunisia: distribution of deprivations across regions." Journal of North African Studies 22, no. 5 (August 14, 2017): 841–59. http://dx.doi.org/10.1080/13629387.2017.1364631.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Batana, Yélé Maweki. "Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa." Social Indicators Research 112, no. 2 (February 1, 2013): 337–62. http://dx.doi.org/10.1007/s11205-013-0251-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Adhikari, Keshab Prasad. "Nepalese initiatives in poverty research: moving from uni-to-multidimensional concepts and measurements." Nepal Population Journal 18, no. 17 (December 31, 2018): 91–104. http://dx.doi.org/10.3126/npj.v18i17.26381.

Full text

Abstract:

The aged long conventional unidimensional definition and measurement of poverty ‘lack of money’ in most countries is being replaced by the multidimensional approach and methodology. The launching of MPI report in 2018 implied Nepal also officially to adopt this in national poverty measurement policy strategy. This paper is aimed at to sensitize methodological aspects of MPI among academic and policy implications in Nepalese context. Debate on multidimensional poverty research in addressing rampant poverty dates back the advent of basic-needs and the physical quality of life index approaches of 1970s but both failed to establish a valid and reliable deprivation score to divide population as poor and non-poor like in income line approach. Human development index gave basis to rank countries into four groups as very high, high, medium and low level of human development. However it could not offer a precise deprivation score to divide population into-two as in absolute deprivation and non-deprivation as well as population in borderline of deprivation as alternatives of income poverty. It is the Alkire and Foster’s (2007 and 2010) MPI methodology/approach of OPHI and successively adopted in human development reports of UNDP, aggressively being adopted as alternatives of conventional income line methods of poverty measurement and targeting policies. Three dimensional and ten indicators equally weighted MPI based on the same conceptual groundings of ‘capability, wellbeing and functions’ of Sen are taken as reliable alternative to the conventional income approach of poverty measurement. With the official release of national MPI study report in January 2018, Nepal adopted MPI in its policy option in targeting population living in multiple web of poverty and their targeting. The study found poverty and deprivation studied from MPI perspective is vital to attain multiple goals of 2030 SDGs.

APA, Harvard, Vancouver, ISO, and other styles

49

Naseh, Mitra, Miriam Potocky, Shanna L. Burke, and Paul H. Stuart. "Assessing Refugee Poverty Using Capabilities Versus Commodities: The Case of Afghans in Iran." Advances in Social Work 18, no. 3 (September 18, 2018): 853–73. http://dx.doi.org/10.18060/21635.

Full text

Abstract:

This study is among the first to calculate poverty among one of the world’s largest refugee populations, Afghans in Iran. More importantly, it is one of the first to use capability and monetary approaches to provide a comprehensive perspective on Afghan refugees’ poverty. We estimated poverty using data collected from a sample of 2,034 refugee households in 2011 in Iran. We utilized basic needs poverty lines and the World Bank’s absolute international poverty line for our monetary poverty analyses and the global Multidimensional Poverty Index (MPI) for our capability analyses of poverty. Findings show that nearly half of the Afghan households were income-poor, approximately two percent of the households had less than USD 1.25 per person per day, and about 28% of the surveyed households were multidimensionally deprived. Results suggest that 60% of the income-poor households were not deprived from minimal education, health, and standards of living based on the MPI criteria, and about 32% of the multidimensionally deprived households were not income-poor. These findings call for more attention to poverty measurement methods, specifically for social workers and policy makers in the field, to gain a more realistic understanding about refugees’ wellbeing.

APA, Harvard, Vancouver, ISO, and other styles

50

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 (December 20, 2022): 352–80. http://dx.doi.org/10.32609/j.ruje.8.81710.

Full text

Abstract:

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 Programs-2017), and the description of vulnerable groups of population in accordance with the MPI. Population groups that are identified as being at risk of poverty (according to the index) are similar to the vulnerable population based on the absolute monetary poverty approach. However, the index widens the list of such groups, covering older people and people with disabilities.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Multidimensional poverty measurement'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles