scholarly journals Determinants of Household Poverty Status in Kediri City

2021 ◽  
Vol 9 (2) ◽  
pp. 36-47
Author(s):  
Yennie Dwi Rozanti ◽  
Mohamad Khusaini ◽  
Ferry Prasetyia
Keyword(s):  
Household Head ◽  
Marginal Effect ◽  
Household Poverty ◽  
Poor Households ◽  
The Status ◽  
Poverty Status ◽  
Household Members ◽  
Household Heads ◽  
Productive Assets ◽  
Logit Regression Model

Analyses of the causes and the characteristics of poverty at micro levels provide more efficient strategies for the attainment of main Sustainable Development Goals. This study aimed to analyze the extent to which the characteristics of individuals, households, and communities influence the probability of household poverty status. The 2019 Social Welfare Integrated Data and Village Potential Data of Kediri City were analyzed using an ordered logit regression model and then interpreted based on marginal effect calculation. The study found that household heads’ squared-age, household members’ education, household members’ occupation, household head gender (female), ownership of assets, access to the internet, access to proper sanitation, and access to financial institutions reduced the probability of households being categorized as very poor and poor. This finding indicated that household productivity influenced by the household head’s characteristics in managing productive assets, supported by access to infrastructure, could increase the household's welfare. However, the household head’s age and marital status, dependency ratio, and access to health facilities increased household’s probability of being very poor and poor. Policies regarding poverty must be adjusted to the poverty characteristics and status. Improving access, equalizing education, and improving job opportunity and infrastructure management that ensure accessibility and enhancement in service quality need to be made to increase the status of households with the lowest 40% welfare in Kediri City. Policies regarding poverty should be focused more on social programs for very poor and poor households. Meanwhile, those near-poor and vulnerable-to-poor need more empowering programs.

scholarly journals DETERMINAN TINGKAT KEMISKINAN DI KOTA BANDUNG

2021 ◽  
pp. 626
Author(s):  
Bayu Kharisma ◽  
Teguh Santoso
Keyword(s):  
Mobile Phones ◽  
Social Characteristics ◽  
Logit Regression ◽  
Household Poverty ◽  
The Status ◽  
Poverty Status ◽  
Household Heads ◽  
Logit Regression Model ◽  
The City ◽  
Positive Effect

This study aims to find the determinants of household poverty status in the city of Bandung by using the National Socioeconomic Survey (Susenas) of March 2018 Expenditure Consumption in Bandung. The methodology used is an ordered logit regression model. The results showed that the demographic characteristics variables that had a significant and positive effect on the poverty status of households in the city of Bandung were female household heads, marital head households and household size and dependency burden. Meanwhile, economic characteristics, namely household access to the internet, ownership of mobile phones (HP), ownership of one's own residence, and access to business credit have a negative and significant effect on household poverty status in the city of Bandung. Furthermore, social characteristics that negatively affect the status of household poverty in the city of Bandung are variable levels of school education as measured by the years of schooling.

scholarly journals Usaha Ternak Domba sebagai Jalur Keluar dari Kemiskinan Buruh Tani di Perdesaan

2020 ◽  
Vol 7 (3) ◽  
pp. 189
Author(s):  
Sondi Kuswaryan ◽  
Cecep Firmansyah ◽  
Muhammad Hasan Hadiana
Keyword(s):  
Regression Model ◽  
Poverty Alleviation ◽  
Binary Logistic Regression ◽  
Farm Labor ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Poor Households ◽  
Simple Regression Model ◽  
Poverty Status ◽  
Household Members

ABSTRAKPenelitian ini bertujuan untuk mengevaluasi kemungkinan usaha ternak domba sebagai aktivitas nafkah untuk pengentasan kemiskinan, serta menentukan jumlah kepemilikan domba yang dapat  membawa rumah tangga buruh tani keluar dari kemiskinan. Survey telah dilakukan di Desa Walangsari Kecamatan Kalapanunggal Kabupaten Sukabumi, melibatkan rumah tangga buruh tani miskin sebanyak 65 orang dan 22 orang tidak miskin. Faktor yang berpengaruh terhadap kemiskinan dianalisis menggunakan model regresi logistik biner, sedangkan jumlah kepemilikan domba yang harus dipelihara untuk keluar dari kemiskinan ditentukan dengan model regresi sederhana. Hasil penelitian menunjukkan bahwa usia kepala keluarga, dan pengalaman beternak tidak mempengaruhi kemiskinan, sedangkan jumlah kepemilikan domba, jumlah anggota rumah tangga, keterlibatan dalam kelembagaan, serta sumber pendapatan dari non pertanian mempengaruhi status kemiskinan rumah tangga buruh tani. Pada rata-rata jumlah anggota rumah tangga sebanyak 4,45 orang,untuk keluar dari kemiskinan buruh tani harus memelihara minimal sebanyak 36,63 ekor domba per rumah tangga. Hasil penelitian ini menegaskan bahwa usaha ternak domba dapat digunakan sebagai sarana untuk pengentasan kemiskinan buruh tani, program pengentasan kemiskinan akan efektif bila melibatkan kelembagaan lokal.Kata Kunci: buruh tani, jumlah kepemilikan domba, kemiskinanABSTRACTThis study aims to determine the possibility of sheep farming as a livelihood activity for poverty alleviation and to determine the amount of sheep ownership that can bring farm laborers households out of poverty. Survey research has been carried out in Walangsari Village, Kalapanunggal District, Sukabumi Regency, involving 65 poor farmer households and 22 non-poor households. Factors affecting poverty were analyzed using a binary logistic regression model, while the number of sheep ownership needed to escape poverty was determined by a simple regression model. The results showed that the age of the head of the family, and experience of sheep farmers did not affect poverty, while the number of sheep ownership, number of household members, involvement in institutions, and sources of income from non-agriculture affected the poverty status of farm laborers' households. In the average number of household members as many as 4.45 people, to get out of poverty must maintain a minimum of 36.63 sheep per household. This research explains that sheep farming can be used as a means to reduce the poverty of farm laborers, and poverty alleviation programs will be effective if they involve local institutions.Keywords: farm labor, number of sheep ownership, poverty

An Analysis of Mobile Financial Services and Financial Inclusion in Bangladesh

2020 ◽  
Vol 14 (2) ◽  
pp. 213-233
Author(s):  
Nahid Akhter ◽  
M. A. Baqui Khalily
Keyword(s):  
Financial Services ◽  
Urban Areas ◽  
Household Head ◽  
Financial Inclusion ◽  
Agriculture Sector ◽  
Male Household Head ◽  
Poor Households ◽  
Institutional Structures ◽  
Mobile Financial Services ◽  
Household Heads

In a short span of time, starting in 2011, mobile financial services (MFSs) have burgeoned in Bangladesh, and elsewhere in the developing world. MFSs have brought about major changes in financial products and institutional structures in the financial services market. The study of Bangladesh’s experience with MFS shows that financial inclusion has greatly improved along with efficiency of provision. This article shows that the probability of using MFSs by a household increases by about 43 per cent if the households have temporary domestic migrant members. Female household heads are less likely to use MFS compared to male household head. Out of 1,588 micro merchants in the sample, around 30 per cent have access to MFSs. Individuals engaged in the non-agriculture sector, those from households with the head having higher education, those from non-poor households and those from urban areas have higher probabilities of MFS use. But more research must be done to design appropriate MFS products for the poor, so that they too can also leverage the benefits of MFSs.

Determinants of Financial Inclusion in Tribal Districts of Odisha: An Empirical Investigation

Social Change ◽  
2017 ◽  
Vol 47 (1) ◽  
pp. 45-64 ◽  
Author(s):  
Auro Kumar Sahoo ◽  
Bibhuti Bhusan Pradhan ◽  
Naresh Chandra Sahu
Keyword(s):  
Household Head ◽  
Financial Inclusion ◽  
Primary Data ◽  
Tribal People ◽  
Savings Accounts ◽  
Savings Bank ◽  
Field Investigations ◽  
The Status ◽  
Employment Guarantee ◽  
Logit Regression Model

The study has tried to investigate the status of the financial inclusion of tribal people in two tribal concentrated districts, namely Bolangir and Mayurbhanj, in the state of Odisha. Field investigations were undertaken to find out the status of financial inclusion in six villages of these two districts where the proportion of the tribal population was larger than that of the total population. Primary data were collected from 300 households by using a semi-open survey schedule. It was found that about 71.7 per cent of households had no savings bank accounts; 70.7 per cent were not involved in self-help group activities and 97.7 per cent did not have post office savings accounts. Additionally, a logit regression model was used to identify the various determinants of financial inclusion of tribal households. The results revealed that years of education attained by the household head, size of private-owned land, total annual income of the household and participation in the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) were significant determinants for financial inclusion among tribal people.

scholarly journals ANALYSIS OF FACTORS INFLUENCE SMOKING BEHAVIOR IN POOR HOUSEHOLDS IN WEST SUMATERA PROVINCE

2017 ◽  
Vol 1 (01) ◽  
pp. 16
Author(s):  
Hefrizal Handra ◽  
Zamzami Zamzami
Keyword(s):  
Social Economic ◽  
Household Head ◽  
Smoking Behavior ◽  
Jel Classification ◽  
Education And Health ◽  
Poor Households ◽  
Household Members ◽  
Economic Survey ◽  
Using Data ◽  
Age Category

<p>This research is purposed to learn the behaviors of poor households in managing their income for buying cigarettes using data from the National Social Economic Survey of West Sumatera Province in 2013 using OLS method as a tool of analysis.<br />Results of the analysis show that the cigarette spending in percentage of income in smoker households in West Sumatera Province is very large, far larger than the percentage of spending for education and health. Household cigarette spending is influenced by income factors, cigarette prices, number of adult male household members, area of residence, age category of the household head, and education of the household head.</p><p>JEL Classification: D10, D31, P46<br />Keywords: Cigarette Spending, OLS Regression, Smoking Household, Taste Intervention</p>

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Kemiskinan Rumah Tangga (Kasus di Kabupaten Semarang)

2018 ◽  
Vol 7 (2) ◽  
pp. 162-185
Author(s):  
Erli Widhi Astuti
Keyword(s):  
Household Head ◽  
Percent Level ◽  
Total Sample ◽  
Complex Problem ◽  
Variable Number ◽  
Dependency Ratio ◽  
Head Of Household ◽  
Household Poverty ◽  
Household Members ◽  
Head Level

Permasalahan kemiskinan memang merupakan permasalahan yang kompleks dan bersifat multidimensional. Oleh karena itu, upaya pengentasan kemiskinan harus dilakukan secara komprehensif, mencakup berbagai aspek kehidupan masyarakat dan dilaksanakan secara terpadu. Berbagai program pengentasan kemiskinan telah dilaksanakan, namun penurunan angka kemiskinan tidak signifikan. Tujuan daripenelitian ini adalah menganalisis bagaimana faktor-faktor  jumlah anggota rumah tangga,  angka ketergantungan (dependency ratio), jenis kelamin kepala rumah tangga,  keluhan kesehatan kepala rumah tangga, tingkat pendidikan kepala rumah tangga, sektor lapangan pekerjaan utama kepala rumah tangga mempengaruhi kemiskinan rumah tangga di Kabupaten Semarang. Penelitian ini menggunakan data Survei Sosial Ekonomi Nasional (Susenas) di Kabupaten Semarang Tahun 2013 yang diperoleh dari data Badan Pusat Statistik (BPS).Jumlah sampelsebanyak 791 rumah tangga.Penelitian ini menggunakan metode analisis regresi logistik yang diolah dengan program SPSS 16.0.  The problem of poverty is a complex problem and multidimensional. Therefore, the fight against poverty must be comprehensive, covering various aspects of community life and implemented in an integrated manner.The purpose of this study is to analyze how the factors of the number of household members, the rate of dependence (dependency ratio), gender of household head, health complaints of household head, level of education of household head, sector of employment major household head affect household poverty stairs in Semarang Regency.This study uses data of the National Socioeconomic Survey (Susenas) in Semarang District in 2013 were obtained from the Central Statistics Agency (BPS). The total sample of 791 households. This research used logistic regression analyzes were processed with SPSS 16.0. The results showed that the variable Number of Household Members, Figures Addiction, Education Level of Household Head, Public Sector Head of Household significantly affect household poverty in Semarang regency. These variables were affected positively. While Household Head Gender variable and Health Complaint of Household Head does not significantly affect household poverty at the level of five percent, but significant at the 15 percent level. These variables affected negatively.

scholarly journals Determinants of Poverty: A Spatial Analysis.

2019 ◽  
Vol 7 (2) ◽  
pp. 83-87
Author(s):  
Siti Aisyah Nawawi ◽  
Ibrahim Busu ◽  
Norashikin Fauzi ◽  
Mohamad Faiz Mohd Amin
Keyword(s):  
Statistical Data ◽  
Household Head ◽  
Main Concern ◽  
Risk Area ◽  
Poverty Risk ◽  
Poor Households ◽  
Conditional Autoregressive ◽  
Household Members ◽  
Data Tables ◽  
Log Linear

Eradicating poverty has become the main concern for Malaysian government since independence. Recognising the incidence of poverty through standard statistical data tables alone is no longer adequate. This study examines socio-demographic effects on poverty and measures spatial patterns in poverty risk looking for high risk of areas. The poverty data were counts of the numbers of poverty cases occurring in every ten districts of Kelantan. To model these data, a spatial autocorrelation was detected prior to a Poisson Log Linear Leroux Conditional Autoregressive was fitted to the data. The result shows the variables household members, number of non-education of household head and log number of female household head significantly associated with the number of poor households. Tumpat was found as the highest risk area of poverty.

The Dynamics of Poverty in Chile

2008 ◽  
Vol 40 (2) ◽  
pp. 251-273 ◽  
Author(s):  
CHRISTOPHER NEILSON ◽  
DANTE CONTRERAS ◽  
RYAN COOPER ◽  
JORGE HERMANN
Keyword(s):  
Household Head ◽  
Physical Capital ◽  
Poverty Line ◽  
Poverty Dynamics ◽  
Poverty Status ◽  
Poverty Lines ◽  
Transient Poverty ◽  
Household Heads ◽  
Definition Of ◽  
Transitory Component

AbstractThis paper uses the 1996–2001 National Socioeconomic Survey panel database to analyse poverty dynamics in Chile, drawing a distinction between chronic and transient poverty. We found that while 20 per cent of the population was living below the official poverty line both in 1996 and 2001, only 9 per cent of the population was poor at both dates. We also found that when the poverty line was raised, the amount of households which could be considered chronically poor rose steadily, whereas the transitory component of poverty remained more or less stable. Analysis of the direct reasons for changes in household poverty status leads us to the conclusion that labour dynamics are far more relevant than demographic changes. Household heads who suffered health problems are significantly less likely to leave poverty. Household human and physical capital are also relevant, as well as the sector in which the household head works. Simulating this exercise using different poverty lines reveals that some variables are not robust to changes in the definition of poverty, while others which originally appeared to be insignificant become so for most other possible poverty lines.

scholarly journals A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia

2021 ◽  
Author(s):  
Mekonnen Bersisa ◽  
Almas Heshmati
Keyword(s):  
Multidimensional Poverty ◽  
Small Towns ◽  
Distributional Analysis ◽  
Multidimensional Approach ◽  
Multidimensional Index ◽  
Multidimensional Measure ◽  
Poor Households ◽  
Conventional Measure ◽  
Poverty Status ◽  
Household Heads

AbstractThis study analyzes uni-and multidimensional poverty and inequalities in rural and small towns in Ethiopia. Unlike the unidimensional measure, the multidimensional measure of poverty shows all the channels through which poverty may manifest itself; it also shows the extent of deprivation. The analysis uses 6 dimensions with 14 indicators to construct a multidimensional index of poverty and inequalities using Ethiopian Households’ Socioeconomic Survey dataset. The study also uses multiple correspondence analyses for determining relative weights in computing a multidimensional index and conducts a stochastic dominance analysis of distribution of poverty for different population segments. The paper sheds light on the degree of inequalities in consumption expenditure and multidimensional deprivations. In addition, it also compares the degree of poverty using the conventional measure of poverty and the multidimensional approach. It also examines the determinants of household poverty status using both unidimensional and multidimensional measures using the logit model. The results show that the intensity, severity, and depth of poverty varies substantially across the 2 measures. The unidimensional measure of poverty shows that 36 percent of the households were poor as compared to 46 percent multidimensionally poor households. Moreover, demographic, regional, and household heads’ characteristics also affect households’ poverty status.

scholarly journals The Determinants of Households Having Savings Accounts in Rwanda

2020 ◽  
Vol 1 (1) ◽  
pp. 6-19
Author(s):  
Charles Ruranga ◽  
Scott Hacker
Keyword(s):  
Poverty Reduction ◽  
Household Head ◽  
Government Policies ◽  
Logit Models ◽  
Poverty Level ◽  
Independent Variables ◽  
Savings Accounts ◽  
Poor Households ◽  
Savings Bank ◽  
Household Heads

This paper analyses the determinants of Rwandan households having savings accounts using Integrated Household Living Conditions Survey  (IHLCS) data of 2010/11. After a background discussion and literature review an empirical analysis is presented with different variables adopted and analysed as determinants of household’s head having savings accounts. Poverty level, age, gender, residential area and level education of household head (literate or not) were considered as independent variables of the study. Findings from the estimations of logit models indicate the likelihood of a household having a savings account is positively and significantly related to each of the following: non-poor status of the household,the household residing in an urban area, the household head being male, and the household head being literate. Having the household head be literate tends to be more important for younger household heads and for non-poor households. The proportion of households having money in a savings account more than doubled over the decade between the IHLCS 2000/2001 survey and the IHLCS 2010/2011 survey. Government policies on savings and poverty reduction may explain the trend of increased cash balances in saving accounts. Key Words: Savings, Bank Accounts, Households, Determinants,

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