Feminisation of Multidimensional Poverty in Rural Odisha

2020 ◽  
Author(s):  
Surya Narayan Biswal ◽  
◽  
S. K. Mishra ◽  
M. K. Sarangi ◽  
◽  
...  
Keyword(s):  
Rural Areas ◽  
Social Groups ◽  
Multidimensional Poverty ◽  
Cumulative Distribution ◽  
Policy Framework ◽  
Living Standard ◽  
Individual Level ◽  
Multidimensional Poverty Index ◽  
Order Stochastic Dominance ◽  
The Individual

UNDP’s 2030 agenda of Sustainable Development Goals (SDGs) emphasized gender equality in augmenting human capital and alleviating poverty. For eradication of extreme poverty and building resilience for persons who are vulnerable to poverty, SDGs calls for a pro-poor and gender-sensitive policy framework. In this context, a gender-based study on multi-dimensional aspects of poverty is highly significant. Extant literature reveals that females are more deprived in different dimensions of poverty such as education, health, living standard, empowerment, environment, autonomy and social relationship. The present study is conducted with the basic objective of examining feminization of poverty in rural areas of Jagatsinghapur district of Odisha. Seven socio-economic dimensions comprising sixteen indicators have been taken into consideration to construct the Multidimensional Poverty Index (MPI) using the Alkire-Foster (AF) Method at the individual level. The novelty of the study lies in analyzing MPI at the individual level for rural Odisha. Higher female deprivation is observed across social groups and all occupation categories except services. Dummy variable regression analysis also supports the major findings of the study. Complementary Cumulative Distribution Function satisfies strict first-order stochastic dominance condition and substantiates the feminisation of poverty at each level of poverty cut-off across all social groups and occupational categories except for services. The findings of the study have significant implications for developing suitable policies for gender equalization and poverty alleviation.

Socioeconomic Variation of Multimorbidity in Colombian Older Adults

2021 ◽  
Author(s):  
Silvia Marcela Ballesteros ◽  
José Moreno-Montoya ◽  
Wilhelmus Johannes Andreas Grooten ◽  
Pedro Barrera-López ◽  
José A. De la Hoz-Valle
Keyword(s):  
Mortality Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Structural Equation ◽  
Strong Association ◽  
High Body Mass Index ◽  
Multidimensional Poverty ◽  
The Elderly ◽  
Cross Sectional ◽  
Multidimensional Poverty Index

Abstract BackgroundMultimorbidity prevalence in the elderly is increasing worldwide. Variations regarding the socioeconomic characteristics of the individuals and their context have been described, mostly in high-income scenarios. This study aims to assess the magnitude and the socioeconomic factors associated with variations on multimorbidity in Colombia.MethodsA cross-sectional multilevel study with a nationally representative sample of 23 694 Colombian adults aged 60 years and older was conducted. Individual socioeconomic, demographic, childhood and health related characteristics, as well as group level variables (multidimensional poverty index and infectious diseases mortality rate) were analyzed. A two-level stepwise structural equation model was used to simultaneously adjust the individual and contextual effects. ResultsMultimorbidity prevalence was 62.3% (95% CI 61.7–62.9). In the multilevel adjusted models, age, female sex, having functional limitations, non-white ethnicity, high body mass index, higher income, physical inactivity, poverty during childhood and living in urban areas were associated with multimorbidity. The mediation analysis showed that living in rural areas was significantly associated with infectious disease mortality rate and other individual associations with multimorbidity were mediated by the multidimensional poverty variable. ConclusionsThis paper demonstrates a strong association between multimorbidity and poverty in a low-middle income country. Differences in the factors involved in the etiology of multimorbidity are expected among wealthy and poor countries regarding availability and prioritization of health services.

scholarly journals Sickness absence among privately employed white-collar workers: A total population study in Sweden

2020 ◽  
pp. 140349482093427
Author(s):  
Kristin Farrants ◽  
Kristina Alexanderson
Keyword(s):  
Sickness Absence ◽  
Rural Areas ◽  
White Collar ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Small Towns ◽  
Older Individuals ◽  
Individual Level ◽  
White Collar Workers ◽  
The Individual

Background: Knowledge about sickness absence (SA) and disability pension (DP) among privately employed white-collar workers is very limited. Aims: This study aimed to explore SA and DP among privately employed white-collar women and men using different measures of SA to investigate differences by branch of industry, and to analyse the association between sociodemographic factors and SA. Methods: This was a population-based study of all 1,283,516 (47% women) privately employed white-collar workers in Sweden in 2012, using register data linked at the individual level. Several different measures of SA and DP were used. Logistic regression was used to investigate associations of sociodemographic factors with SA. Results: More women than men had SA (10.9% women vs. 4.5% men) and DP (1.8% women vs. 0.6% men). While women had a higher risk of SA than men and had more SA days per employed person, they did not have more SA days per person with SA than men. The risk of SA was higher for women (odds ratio (OR)=2.54 (95% confidence interval (CI) 2.51–2.58)), older individuals (OR age 18–24 years=0.58 (95% CI 0.56–0.60); age 55–64 years OR=1.43 (95% CI 1.40–1.46) compared to age 45–54 years), living in medium-sized towns (OR=1.05 (95% CI 1.03–1.06)) or small towns/rural areas (OR=1.13 (95% CI 1.11–1.15)), with shorter education than college/university (OR compulsory only=1.64 (95% CI 1.59–1.69); OR high school=1.38 (95% CI 1.36–1.40)), born outside the EU25 (OR=1.23 (95% CI 1.20–1.27)) and singles with children at home (OR=1.33 (95% CI 1.30–1.36)). Conclusions: SA and DP among privately employed white-collar workers were lower than in the general population. SA prevalence, length and risk varied by branch of industry, sex and other sociodemographic factors, however, depending on the SA measure used.

scholarly journals Prevalensi dan Determinan Hipertensi di Pulau Jawa, Tahun 2004

2006 ◽  
Vol 1 (2) ◽  
pp. 57
Author(s):  
Zamhir Setiawan
Keyword(s):  
Risk Factor ◽  
Rural Areas ◽  
Urban Areas ◽  
Analysis Method ◽  
Hypertension Status ◽  
Individual Level ◽  
Level Measurement ◽  
Study Results ◽  
Ecological Measurement ◽  
The Individual

Hipertensi merupakan faktor risiko utama kardiovaskuler yang merupakan penyebab utama kematian di seluruh dunia. Peningkatan umur harapan hidup dan perubahan gaya hidup meningkatkan faktor risiko hipertensi di berbagai negara. Tujuan penelitian ini (1) Mengetahui prevalensi hipertensi dan penyebarannya di Pulau Jawa tahun 2004. (2) Mengetahui faktor-faktor sosiodemografi yang berhubungan dengan kejadian hipertensi. (3) Mengetahui kontribusi dan dampak potensial masing-masing faktor tersebut. Penelitian dengan rancangan studi Ekologi Multilevel ini menggabungkan variabel tingkat pengukuran individu dengan tingkat pengukuran ekologi dalam analisis bersama, dengan unit analisis individu. Analisis kontekstual dilakukan melalui kerangka konsep hipertensi, menggunakan metode analisis regresi logistik ganda, dengan status hipertensi sebagai variabel dependen. Data variabel dependen dan variabel perancu yang merupakan data pengukuran tingkat individu diambil dari data SKRT 2004. Data sosiodemografi tingkat pengukuran ekologi sebagai variabel independen utama, diperoleh dari Profil Kesehatan Indonesia, Statistik Indonesia, Statistik Kesehatan, Statistik Kesejahteraan Rakyat, danData Departemen Dalam Negeri, unit pengamatan provinsi. Hasil penelitian ini menunjukkan prevalensi hipertensi di Pulau Jawa 41,9%, dengan kisaran di masing-masing provinsi 36,6%-47,7%. Prevalensi di perkotaan 39,9% (37,0%-45,8%) dan di perdesaan 44,1% (36,2%-51,7%). Kata kunci: Hipertensi, faktor sosiodemografiAbstractHypertension is a main risk factor of cardiovascular disease which is ranked as number one cause of death in the world. The increase of life expectancy and changes in life style have increased the prevalence of hypertension risk factor in both developed and developing countries. The objectives of this study are (1) To know the prevalence and distribution of hypertension in di Java island, in year 2004. (2) To know sosiodemographic factors related to hypertension. (3) To know the contribution of each sosiodemographic factor toward hypertension. The study used multilevel ecologic study design that integrated both individual and ecological level variables measurement. The analysis method used in this study was contextual analysis and multiple logistic regression with hypertension status as dependent variable. The individual level measurement of variables such as hypertension status and age, job, education and sex is taken from Household Health Survey (SKRT) 2004. The sosiodemographic data which was ecological measurement level served as the main independent variables were taken from Indonesian Health Profile, Indonesian Health Statistics, Public Welfare Statistics and data from Department of Internal Affair, particularly from Province Surveillance Unit. The study results showed that the prevalence of hypertension in Java Island was 41.9%, with range of prevalence in provincial level of 36.6%-47.7%. The prevalence in urban areas was 39.9% (37.0%-45.8%) and in rural areas was 44.1% (36.2%-51.7%)Keywords: Hypertension, sosiodemographic factors

scholarly journals Multidimensional Poverty, Social Networks: Spatial Neighbourhoods on Poverty Eradication in Tumpang District, Malang Regency

2021 ◽  
Vol 23 (1) ◽  
pp. 115-126
Author(s):  
Ismu Rini Dwi Ari ◽  
Budi Soegiarto Waloejo ◽  
Septiana Hariyani
Keyword(s):  
Social Relations ◽  
Poverty Alleviation ◽  
Multidimensional Poverty ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Living Standard ◽  
Research Approach ◽  
Public Facility ◽  
Poverty Level ◽  
Multidimensional Poverty Index

Poverty is multidimensional problem of the development that cause human difficulties in accessing public facility and infrastructure. Along with target of SDGs regarding poverty alleviation, main aims of this research are i) measure poverty level through three dimensions – health, education and standard of living of the Multidimensional Poverty Index (MPI), and ii) scrutinize influential variables of the poverty through Spatial Regression Analysis whereby physical as well as social variables are put it together in the model. This research would like to propose a set of research approach on how dealing with poverty in a certain area.  Area of study is Tumpang district in Malang Regency, East Java Province consist of 15 villages, wherein at about 36,61% family are receiver of the Raskin (Beras Miskin – Poor Rice) program as one of the poverty alleviation programs in Indonesia. Both field observation as well as depth interview are conducted towards 274 head of households. Result study finds out that there are five villages which have high value of MPI in Tumpang District, namely Duwet Krajan, Duwet, Benjor, Tulusbesar and Kidal, and the two dimensions – education and living standard give significant contribution to the poverty. Next, poverty in the research area has influenced by both social relations among residents within a village as well as geographical location of the nearest neighbourhoods. Then, eradication poverty is necessary to put consideration on strengthening ‘constructive’ social relations among residents through their existence community groups.

Determining the odds of employment in Pakistan

2019 ◽  
Vol 12 (2) ◽  
pp. 229-241
Author(s):  
Izza Aftab ◽  
Umair Mazher
Keyword(s):  
Economic Geography ◽  
Google Earth ◽  
Living Standard ◽  
Asset Ownership ◽  
Content Type ◽  
Household Level ◽  
Individual Level ◽  
Income Sources ◽  
Jobless Growth ◽  
The Individual

Purpose The paper aims to identify the determinants of employment in Pakistan. In light of the jobless growth Pakistan has experienced starting from 2000, this is a valid concern. The paper discusses the structural relationship between employment and growth in Pakistan and analyzes it empirically within an economic geography framework. Design/methodology/approach The paper applies a Logit regression analysis to data from Pakistan Social and Living Standard Measurement Survey for the years 2010, 2012 and 2014. While this survey is published annually, the paper uses data at the district level, which is available only every alternate year. Data are collected at the individual level and can be mapped back to the household level. Each wave of data covers at least 70,000 households. The survey provides data on employment status, health, education, sanitation, economic situation and asset ownership. The analysis is conducted using Stata. The paper uses computer vision to present and trace changing employment patterns in Pakistan over time. To do so, the paper uses MATLAB. The data are transformed to KMV format and the plotting is done using Google Earth. Findings The paper shows how household characteristics affect the odds of employment in Pakistan, finding evidence of provincial disparities. Moreover, the paper shows that non-wage income from assets reduces the odds of being employed. The paper identifies the various income thresholds for the five income sources examined to have an impact on the odds of employment. Originality/value The novelty of this research is the identification of the determinants of employment in Pakistan and their analysis from the perspective of economic geography. This paper should be useful for policymakers and international financial organizations concerned with structural change in Pakistan.

scholarly journals Geographies of Flowers and Geographies of Flower Power

2021 ◽  
Vol 13 (24) ◽  
pp. 13712
Author(s):  
Annie Tubadji ◽  
Valentina Montalto
Keyword(s):  
Utility Function ◽  
Rural Areas ◽  
Urban Areas ◽  
Strong Dependence ◽  
Creative Industries ◽  
Trade Off ◽  
Individual Level ◽  
Proactive Behaviour ◽  
Green Areas ◽  
The Individual

The world is changing under the pressure of environmental and health crises, and in this context, location choice and political choice become of even more poignant importance. Following a Culture-Based Development (CBD) stand, our paper highlights the link between political voting and the cultural and ecological valuation of a place. We start from the premise that the individual utility functions of the urban inhabitant and the urban voter coincide, since they both express the citizen’s satisfaction with the life in a place. We suggest that the unified citizen’s utility function is driven by a trade-off between the availability of virtual and physical spaces for interaction. We expect that this trade-off can lead to dissatisfaction with the place and consequent political discontent if the incumbents’ access to green areas and artistic environment in a place is simultaneously hampered for a long time. Our operational hypothesis is that the political sensitivity of citizens is related to the local availability of green areas (geographies of flowers) and cultural capital endowments (geographies of flower power). Using individual-level data from the WVS from the period close before the pandemic—2017–2020, we test empirically this hypothesis. We use as an outcome of interest the individual propensity to active political behaviour. We explain this propensity through the geographies of flowers (i.e., green areas) and geographies of flower power (i.e., cultural and creative industries). We compare the effects for urban and for rural areas. We find strong dependence of politically proactive behaviour on the geographies of flowers and geographies of flower power, with explicit prominence in urban areas. We find a more pronounced effect of these two geographies on the utility function of incumbent than migrant residents. We also crosscheck empirically the relationship of this CBD mechanism on an aggregate level, using data from the Cultural and Creative Cities Monitor. The findings confirm the Schelling magnifying effect of micro preferences on a macro level.

scholarly journals Multidimensional Rural Poverty In Burji And Konso Area, Southern Ethiopia

2021 ◽  
Author(s):  
Yohannes Mare ◽  
YishaK Gecho ◽  
Melkamu Mada
Keyword(s):  
Rural Areas ◽  
Group Discussion ◽  
Rural Poverty ◽  
Simple Random Sampling ◽  
Primary Data ◽  
Living Standard ◽  
Southern Ethiopia ◽  
Four Dimensions ◽  
Multidimensional Poverty Index ◽  
The World

Abstract Ethiopia is among the poorest countries in the world and the level of poverty is more challenging in rural areas compared to urban. Currently, there are great tendencies over the world to measure poverty using Alkire and Fosters' MPI approach among different approaches of poverty assessment. This study aimed at assessing multidimensional rural poverty status household's poverty in Burji and Konso area in Southern Ethiopia. To address this objective, 368 households were selected using simple random sampling techniques. The data were collected from both primary and secondary sources. Interview schedule, focused group discussion, key informant interview, and observation methods were implemented to collect primary data. Alkire & Foster Methodology with modified four dimensions and 14 indicators used to analyze multidimensional rural poverty. The study reveals as the highest three deprivations 97.8% of cooking fuel, 92.6% of the floor, and 76.1% of drinking water. The multidimensional Poverty Index (MPI) of the study area was 0.419 with 76.6% of incidence and 54.7% the intensity of multidimensional rural poverty. The highest (15%) contributor to MPI was deprivation in school attendants and the highest (34%) deprivation dimension was in living Standard out of four dimensions.

scholarly journals Determinants of Investment at the Individual Level - Evidence from SACCOS in Mbeya District, Tanzania

2017 ◽  
Vol 3 (4) ◽  
pp. 33
Author(s):  
Momole Kasambala
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
National Level ◽  
Simple Random Sampling ◽  
Least Square ◽  
Sufficient Evidence ◽  
Poor People ◽  
Individual Level ◽  
Ordinary Least Square Regression ◽  
The Individual

Investment is the corner stone for economic growth and development. Poor countries experience a scant growth of their economy simply because of minute investment at the individual to national level. In these less developed economiesinvestment has been hampered by insufficient capital to support a viable business enterprise. External financing is required to reverse this trend. Experience shows that the provision of credit is the preeminent way to increase capital for investment. There have been several credit providers in developing countries namely, the formal, semiformal, and informal sources. While the formal and semiformal sources dominate in urban areas, the informal ones seem to dominate in rural areas. Many of the formal sources require credit to be secured by tangible assets. Unlike other credit lines like banks, credit from saving and credit cooperative (SACCOS) are issued without delay because credit worthiness can be established easily. These SACCOS normally operate within the premises of members and are well positioned to serve poor people both in urban and rural areas.This study was conducted to assess the determinants of investment at the individual level. Multistage and simple random sampling techniques were used to select the study area and respondents. The sample includes 239 SACCOS members and 241 non members. Data analysis employed both descriptive statistics and Ordinary least square regression methods. The study examines achievement differences in terms of the investment level achieved by SACCOS and non SACCOS members in order to determine the attributed factors to their success. The study provides sufficient evidence to support the proposition that acquisition of credit is important for investment at an individual level at P<0.001.

Measuring Geographic Distribution for Political Research

2019 ◽  
Vol 27 (3) ◽  
pp. 263-280 ◽  
Author(s):  
Dong Wook Lee ◽  
Melissa Rogers
Keyword(s):  
Geographic Distribution ◽  
Rural Areas ◽  
Modifiable Areal Unit Problem ◽  
Areal Unit ◽  
Individual Level ◽  
Comparing Distributions ◽  
Political Units ◽  
Urban And Rural Areas ◽  
The Individual ◽  
Unit Of Observation

Political scientists are increasingly interested in the geographic distribution of political and economic phenomena. Unlike distribution measures at the individual level, geographic distributions depend on the “unit question” in which researchers choose the appropriate political subdivision to analyze, such as nations, subnational regions, urban and rural areas, or electoral districts. We identify concerns with measuring geographic distribution and comparing distributions within and across political units. In particular, we highlight the potential for threats to inference based on the modifiable areal unit problem (MAUP), whereby measuring concepts at different unit aggregations alters the observed value. We offer tangible options for researchers to improve their research design and data analysis to limit the MAUP. To help manage the measurement error when the unit of observation is unclear or appropriate data are not available, we introduce a new measure of geographic distribution that accounts for fluctuations in the scale and number of political units considered. We demonstrate using Monte Carlo simulations that our measure is more reliable and stable across political units than commonly used indicators because it reduces measurement fluctuations associated with the MAUP.

scholarly journals Examining Individual- and Community-Level Factors Affecting Skilled Delivery Care among Women Who Received Adequate Antenatal Care in Ethiopia: Using Multilevel Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Eshetu E. Chaka ◽  
Peng Bao
Keyword(s):  
Antenatal Care ◽  
Maternal Mortality ◽  
Rural Areas ◽  
Intraclass Correlation ◽  
Community Level ◽  
Delivery Care ◽  
Skilled Delivery ◽  
Factors Affecting ◽  
Individual Level ◽  
The Individual

Introduction. Maternal mortality continues to be a major public health and development challenge in Africa even after the permissible commitment of the international community. Although the use of skilled delivery care is the key intervention and is effective to lower maternal mortality rates, it is still at a lower proportion. The study is aimed at investigating the individual- and community level factors affecting the use of skilled delivery care among those women who had received adequate antenatal care. Materials and Methods. Data were extracted from the 2016 Ethiopian Demographic and Health Survey on women aged 15-49 years and gave birth within five years prior to the survey ( N = 957 ). Multilevel logistic regression model with two levels were fitted to assess the influence of the individual- and community-level factors on the use of skilled delivery care. Results. Women who were exposed to media were more likely to use skilled delivery care ( OR = 1.81 ; 95% CI: 1.20-2.74). Having six or more birth order ( OR = 0.33 ; 95% CI: 0.16-0.69) and residing in rural areas ( OR = 0.40 ; 95% CI: 0.21-0.79) were associated with less likelihood use of skilled delivery care. Attaining primary and secondary educational level, being older women, being from the richest household, and having a urine test during antenatal visits were significantly associated with the use of skilled delivery care. The value of intraclass correlation coefficient supported a significant community-level effect on the likelihood of using skilled delivery care. Conclusions. Factors operating both at the individual level and community level were found significantly associated with the use of skilled delivery care in Ethiopia. A considerable variation at community level accounts for the difference in the use of skilled delivery level.

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