scholarly journals IN-WORK POVERTY IN LATVIA

2019 ◽  
Vol 7 ◽  
Author(s):  
Mareks Niklass

The results of a survey carried out in Latvia in 2015 are examined to estimate the scope and depth of in-work poverty. The widely used EU-SILC data considerably underestimate in-work poverty in Latvia. Logistic regression analysis indicates that persons with low education, poor health, persons of pre-retirement age, and those employed in non-standard work arrangements are more likely exposed to a high in-work poverty risk. Social transfers and the income of other household members do not significantly reduce this risk. The Latvian government should provide adequate social protection and funding to alleviate the in-work poverty problem.

2020 ◽  
Vol 5 (2) ◽  
pp. 193-203
Author(s):  
Muhit Hidayah ◽  
◽  
Joko Triyanto ◽  

The existence of a demographic transition that in the long run has an impact on the population explosion in the productive age and even the population trend shows a growing pattern of population growth in the productive age. It is feared that the number of people of productive age who are not absorbed in employment will eventually become unemployed. Unemployment of productive age will have an impact on the amount of educated unemployment. This study will analyze the demographic, human capital and economic factors behind educated unemployment in Sragen Regency in 2019, from the supply dan demand side. The data used is the raw data of the results of the National Labor Force Survey (SAKERNAS) in Agustus 2019 from the Statistics of Sragen Regency (BPS) with a sample of 602 respondents. The method used is logistic regression analysis. The results showed that the variables age, number of household members, gender, relationship with the head of the household, marital status, Diploma I / II, Diploma III, Diploma IV / S1 and S2 affect the probability of the educated workforce to be unemployed. Meanwhile, the domicile variable does not significantly affect the probability of the educated workforce being unemployed.


2020 ◽  
Vol 3 (3) ◽  
pp. 1-22
Author(s):  
Deepak Raj Paudel

Even though the ultimate goal of social health insurance program is to increase the utilization of health services and reduce the health care expenditure, individuals in developing countries generally do not visit a healthcare provider or spend on healthcare unless they perceive themselves as ill.  Thus, the determinants of such illness reporting could have practical significance in a setting, where the social health insurance program was first being implemented in Nepal. Philosophically, this study follows a post-positivism or empiricism research paradigm. The ontological assumption of this study is a singular reality and regarding the epistemological assumption, this study considers an objective reality, a deductive method of quantitative inquiry. A cross-sectional survey was performed among 6480 individuals from 1048 households located in 26 wards of Kailali district after twenty-one months of the implementation of health insurance program in Nepal. The sample was selected in two stages, first being the selection of wards and second being the households. Data analyses were mainly based on chi-square test and logistic regression analysis. The study revealed that out of total 6480 surveyed individuals, 1590 (24.5%) individuals reported illness and the most commonly self-reported illness was cold/cough/fever in the month prior to the survey. The logistic regression analysis revealed that a number of socioeconomic factors such as health insurance coverage, gender, education level, economic status and employment status are significant predictors of illness reporting. Being insured, household members were more likely to report illness compared to their counterparts (Odds ratio= 1.40, 95% Confidence Interval=1.24-1.59). Females were more likely to report illness compared to males. Members with secondary level of education were significantly less likely to have illnesses than the members with no formal education. Household members from higher household economic status and employed were significantly less likely to have an illness. The findings from this study could inform policy in the ongoing national health insurance debate in Nepal and elsewhere. Since individuals having health insurance are more likely to report illness compared to uninsured, there is need to expand the health insurance program thought the country. Despite some methodological constraints, this study delivers new information on the occurrences of self-reported illnesses among the Nepalese population. This can help policy makers to formulate proper interventions to protect the poor from the financial burden associated with poor-health.


2018 ◽  
Vol 46 (19_suppl) ◽  
pp. 74-81 ◽  
Author(s):  
Anu Polvinen ◽  
Mikko Laaksonen ◽  
Juha Rantala ◽  
Marjukka Hietaniemi ◽  
Jari Kannisto ◽  
...  

Aims: The aim of this study was to find out whether health and financial factors are associated with engagement in paid work during a disability pension. Methods: The data included a 10 per cent sample of Finns aged 20–62 years who were drawing earnings-related full or partial disability pension in 2012 ( n = 14,418). Logistic regression analysis was used to estimate odds ratios for working while on a full or partial disability pension. Results: Fourteen per cent of full disability pensioners and 76 per cent of partial disability pensioners were engaged in paid work. Full disability pensioners due to mental disorders were working less often than full disability pensioners due to other diseases. Partial disability pensioners due to cardiovascular diseases were working more than partial disability pensioners due to other diseases. More recent timing of disability pension was associated with working for both partial and full disability pensioners. Working while on disability pension was more common among those with higher education. Partial disability pensioners with average pension worked more often than those with high pension. Conclusions: By knowing the factors associated with working while on a disability pension, policies could be more efficiently allocated to encourage disability pensioners to take up work. One way would be to support disability pensioners with low education to work more. Another way to increase work among disability pensioners is to support the recently retired in working longer.


2020 ◽  
Vol 2 (1) ◽  
pp. 93
Author(s):  
Ayu Rahmadani Utama ◽  
Dewi Zaini Putri

This study aims to determine and analyze the influence of age (X1), gender (X2), education (X3), income (X4), employment status (X5), number of household members (X6), and knowledge (X7) towards rural waste management opportunities in West Sumatra Province. This type of research is descriptive and associative research while the type of data is secondary data. The data used is the 2017 SUSENAS data with documentation data collection techniques from the Central Statistics Agency. Analysis of the data used is logistic regression analysis with all respondents totaling 5,996 people. The results showed: (1) Age was not significant to the opportunities for rural solid waste management in West Sumatra Province. (2) Gender is significant for rural waste management opportunities in West Sumatra Province. (3) Significant education towards rural waste management opportunities in West Sumatra Province. (4) Income is not significant to the opportunities for rural waste management in West Sumatra Province. (5) Significant employment status of opportunities for rural solid waste management in West Sumatra Province. (6) The number of household members is not significant to the opportunities for rural waste management in West Sumatra Province. (7) Insignificant knowledge of opportunities for rural solid waste management in West Sumatra Province.


2021 ◽  
pp. 231971452110515
Author(s):  
Rajthilak R. ◽  
Swati Alok ◽  
Navya Kumar

A lack of job security and other challenges mark the circumstances of temporary agency workers (TAWs). Yet, data from 511 TAWs of the Indian information technology (IT) industry captured via a structured questionnaire revealed the presence of volition or TAWs holding temporary jobs by choice. The study was conducted in two phases. In phase one, logistic regression was used to differentiate between voluntary and involuntary TAWs. In phase two, multiple regression was used to analyse the influence of volition on work engagement–overall and its individual components (vigour, dedication, and absorption). Logistic regression analysis showed that TAWs who were younger, single, educated in smaller cities and had worked for less than a year with a client were more likely to voluntarily choose temporary work. Further, multiple regression analysis demonstrated that such volition significantly boosts TAWs’ work engagement, in line with Self-Determination Theory’s perspective on autonomous motivation. The predictive model of categorizing TAWs into voluntary and involuntary groups based on demographic and job characteristics will help client and staffing organizations design customized policies for each group and promote factors enabling voluntary selection of temporary work arrangements.


2020 ◽  
Vol 7 (6) ◽  
pp. 233-242
Author(s):  
Mariatul Fadilah ◽  
Dewi Arsinta

Introduction: Covid-19 is an infectious disease. Matrix that is often used to identify transmission of infectious diseases dynamics is Basic Reproduction Number (R0). R0 is influenced by 3 parameters there are transmissibility (τ), average contact (c) and duration of infectiousness (d). Transmissibility and duration of infectiousness are constant values. The value of R0 will fluctuate if the rate of human interaction varies. The value of social contact different in every country. In Indonesia, there are no studies that discuss the value of social contact. Therefore researchers aims to find out these values and determine their effect on the spread of Covid-19. Method: This research was a descriptive observational study. Aims of the study is evaluate the pattern of social contact associated with the spread of covid-19. Data was collected using POLYMOD questionnaire that distributed via google form. The research sample was Indonesian people who were reached by distributing questionnaires. The data obtained then analyzed using the SPSS program to find the frequency distribution, mean of social contact and logistic regression analysis. Results: From this study, 6464 contacts were obtained from 1032 respondents with average number of contacts 6.26 and R0 2.191. Conclusion: The higher of contact value the higher risk of transmission. The R0 value obtained is 2.191, so one infected person might be able to transmit it to two other people around them. Individuals who are most at risk for transmission is male with low education levels and students.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sarjono Sarjono ◽  
Sri Hartoyo ◽  
Dedi Budiman Hakim

ABSTRACTPoverty is one of a complex problem that remains unresolved in the state of Indonesia. The government of East Jakarta Municipallity has taken much effort to break the cycle of poverty, but the rate of poverty in East Jakarta City is still fluctuating. This study aimed to analyze the factors affecting the chances of poor household growt. Based on Logistic Regression Analysis demonstrated that gender and a number of household members positively have a significant effect on the chance of poor household development, while the number of productive members in household have a negative effect. Keywords : Logistic Regression, PovertyABSTRAKKemiskinan merupakan salah satu masalah yang kompleks yang belum terpecahkan di Indonesia. Pemerintah Kota Jakarta Timur telah melakukan berbagai upaya untuk mengatasi masalah kemiskinan, namun angka kemiskinan di Kota Jakarta Timur masih fluktuatif. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang menyebabkan terjadinya rumah tangga miskin. Hasil Analisis Regresi Logistik menunjukan bahwa gender dan besaran anggota rumah tangga berpengaruh positif dan signifikan terhadap kejadian rumah tangga miskin sedangkan proporsi anggota rumah tangga yang bekerja, berpengaruh negatif dan signifikan terhadap kejadian rumah tangga miskin. Kata kunci: Kemiskinan, Regresi Logistik


2017 ◽  
Author(s):  
Regina Pana-Cryan ◽  
Tapas K. Ray ◽  
Anasua Bhattacharya ◽  
Abay G. Asfaw ◽  
Toni Alterman

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).


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