Determinants of Poverty among Workers in Metro and Nonmetro Areas of the South

Thompson, Alton; McDowell, Donald R.

doi:10.1007/bf02689985

Cited by 8 publications

(3 citation statements)

References 1 publication

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“…The results show education is an important determinant, which supports the findings of most previous researches (Wong et. Al., 2017;Thompson & McDowell, 1994;Rodriguez & Smith, 1994;Grootaert, 1995;Zake & Naude, 2002). Based on Table 4, an increase of a year of formal education after the mean number of years of the sample reduces the probability of a household falling into poverty by 0.931.…”

Section: Resultsmentioning

confidence: 99%

“…Alternatively, binary response models have been initiated by Bardhan (1984) as a better measurement of the determinants of poverty and have been widely used (Egondi et al, 2015;Ranathunga, 2015;Alderman & Garcia, 1993;Gaiha, 1988;Grootaert, 1997;Lanjouw & Stern, 1991;Rodriguez & Smith, 1994;Serumaga Zake & Naude, 2002;Thompson & McDowell, 1994;Ntuli, 2007). This model collapses the distribution into two values; poor or non-poor.…”

Section: Introductionmentioning

confidence: 99%

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Determination of poverty among the poor and needy in a developing country

Ali

Ibrahim

2018

JEEIR

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This article attempts to analyse the determination of poverty among the poor and needy of the zakat recipients in Kelantan, Malaysia. The study is motivated from the Kelantan zakat collection (2003-2015) that suggests that the growth alone (high collection) is not enough to eliminate poverty, there are indeed, other elements of poverty eradication like the socio economic, demographic factors, remittances and the investments in social and economic factors like the food subsidy for the poorest, good quality education, opportunities for the most needy, regulation of job markets, and purposively designed social security nets also have significant impact on permanent reduction in poverty. In Kelantan, despite zakat centres having disbursed an increasing amount of expenditure annually on the two categories of zakat recipients, hitherto the number of fuqara (poor) and masakin (needy) households is still increasing (MAIK, 2014; JAWHAR, 2012). Thus, it is important to understand the nature and scale of poverty, the various driving forces that affect it and the determinants of poverty among the poor and needy as linked to this process. A sample of 505 households from 2016 Household Expenditure Survey (HES) among the poor and needy zakat recipients in Kelantan has been used in this study. The findings have important policy implications for Kelantan Zakat Department (MAIK) in making the zakat distribution becomes more efficient and uplift the important role of zakat as one of the poverty alleviation tools among the Muslims. This study recommends the method of zakat distribution should be improved and channelled accordingly in order to strengthen the Muslims economy condition and then, it would facilitate the poverty alleviation programmes by the zakat department.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of poverty among the poor and needy in a developing country

Ali

Ibrahim

2018

JEEIR

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“…This model is useful for exploring the determinants of poverty based on different characteristics of households. Indeed, the Logit model has been applied in various studies analyzing determinants of poverty (see for examples Thompson and McDowell (1994), Coulombe and McKay (1996), Deutsch and Silber (2006), Mok, Gan, and Sanyal (2007), de Silva (2008), Achia et al (2010), Imai, Gaiha, and Kang (2010), Sekhampu (2013) and Dartanto and Nurkholis (2013). In the current study, special attention is paid to whether financial inclusion affects the probability of a household being in severe poverty.…”

Section: Data and Methodological Approachmentioning

confidence: 96%

Does financial inclusion alleviate household poverty? Empirical evidence from Indonesia

Dawood¹,

Pratama²,

Masbar³

et al. 2019

Economics &Amp; Sociology

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This study's contribution to literature is presenting empirical evidence on the impact of financial inclusion, meaning elimination of barriers to accessing financial services, on poverty at the household level in developing countries, using Indonesia as a case study. This is a significant problem for developing countries such as Indonesia, which faces high poverty, even though it has achieved rapid financial development. Using the Binary Logistic (Logit) model and data from approximately 300,000 households from the 2017 Indonesian National Social and Economic Survey (Susenas), this research reveals that financial inclusion decreases households' probability of absolute poverty. Furthermore, financial inclusion can compensate for a lack of assets, a limited number of non-agriculture occupational opportunities in rural areas, and low education levels of household heads. In addition, financial inclusion has the potential to reduce incentives for poor, low-skilled rural people to migrate to urban areas in search of non-agricultural employment opportunities. Policy recommendations based on the results found are twofold. First, for people who are vulnerable to poverty, financial inclusion should be enhanced, especially for poor women-headed farming households in rural areas. Second, for policy-makers concerned with urbanization of low-skilled poor migrants, enhancing financial inclusion in rural areas is needed to help reduce urbanization pressures.

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Determinants of Poverty in Afghanistan

Haider

2018

Poverty in Afghanistan

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Determinants of Poverty among Workers in Metro and Nonmetro Areas of the South

Cited by 8 publications

References 1 publication

Determination of poverty among the poor and needy in a developing country

Determination of poverty among the poor and needy in a developing country

Does financial inclusion alleviate household poverty? Empirical evidence from Indonesia

Determinants of Poverty in Afghanistan

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