Multidimensional poverty measurement in Tunisia: distribution of deprivations across regions

Nasri, Khaled; Belhadj, Besma

doi:10.1080/13629387.2017.1364631

Cited by 9 publications

(8 citation statements)

References 18 publications

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“…Ayadi et al, 2007;Ayadi and Amara, 2009;Belhadj and Limam, 2012;Zeddini and Belhadj, 2015;Nasri and Belhadj, 2018). It is an acknowledgment of deprivation in the multidimensional case (Chtioui and Ayadi, 2013;Nasri and Belhadj, 2017). It may also lead to policy recommendations, but that is a derived feature, and the first exercise is one of deciding who is poor.…”

Section: Poverty In Tunisiamentioning

confidence: 99%

“…For this reason, these studies derive different recommendations in terms of programs to fight against poverty; for example, Ayadi and Amara (2009) have suggested that geographic targeting as a tool to reduce poverty and the targeting of poor areas can be an intuitively appealing solution to the budget constraint faced by poverty reduction programs. Nonetheless, Nasri and Belhadj (2017) emphasized the importance of targeting the source of deprivation for Tunisian households, particularly the dimensions that contribute most to household poverty; these include health, education and access to services. They also mentioned that targeting the source of deprivation for Tunisian households will reduce the inclusion error and thus reduce the waste of public resources.…”

Section: Poverty and Social Safety Nets In Tunisiamentioning

confidence: 99%

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Poverty-alleviation programs in Tunisia: selection processes and targeting performance indicators at the regional level

Nasri

2022

IJSE

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PurposeThis paper aims to evaluate the social safety nets in Tunisia using targeting performance indicators which consider the divergence observed between the beneficiary selection process at the regional level and the official identification of poor.Design/methodology/approachIn the first part of this research, the author intend to quantify the degree of association between social programs coverage and poverty incidence, with special emphasis on the contribution of the center's targeting of regions and on the efforts of the regions themselves to reach their poor households. Next, the author measure four targeting errors: inclusion and exclusion errors, by eligibility and by poverty. These targeting errors help policymakers to understand how well a program is performing in terms of its specific eligibility criteria and knowing whether a social transfer is reaching poor people at the regional level.FindingsThe author’s empirical findings show there is a positive targeting differential which rejects the nullity of independence between poverty incidence and coverage of the program in Tunisia. The author then found that the overall targeting differential is accounted for by the intra-region component. After estimating the eligibility thresholds at the regional level, the author found that the targeting performance differs from one region to another, while some recorded gains that others did not.Originality/valueTo the best of our knowledge, no research has addressed the distinction between eligibility and poverty in the measurement of targeting errors. Thus, this paper contains research to fill this gap. It differs from previous studies in two important ways. First, the targeting errors will be estimated on the basis of the official eligibility criteria used at the regional level. Second, we estimate the eligibility thresholds by considering the programs coverage rate variations between regions based on quotas allocated to each governorate by the Ministry of Social Affairs (MSA).

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Section: Poverty In Tunisiamentioning

confidence: 99%

Section: Poverty and Social Safety Nets In Tunisiamentioning

confidence: 99%

Poverty-alleviation programs in Tunisia: selection processes and targeting performance indicators at the regional level

Nasri

2022

IJSE

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“…Different from absolute poverty, which is measured by the monetary value of food consumption, relative poverty relates to “relative deprivation” and is reflected through inequity in income allocation and access to public services and through lower levels of education, healthcare, senior care, and social security ( 1 , 2 ). In comparison with absolute poverty, relative poverty is ever-developing, multidimensional, structured, and related to special groups ( 3 ). Existing study has indicated that there are significant differences in the measures required to alleviate the two types of poverty.…”

Section: Introductionmentioning

confidence: 99%

Health Shocks and Household Education Burden—A Study From the Perspective of Relative Poverty Alleviation in China

Wang

Chu

2022

Front. Public Health

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Health shocks and household education burden influence levels of expenditure on healthcare and education, which are two major non-discretionary expenditures for households. From the perspective of relative poverty alleviation in China and based on the peer effects theory, this study uses the dataset from the rural areas in CFPS database and employs the spatial Durbin model and spatial DID model to investigate—when a household suffers health shocks—the influence of such impact on the education burden of closely related households and to test the effect of single rescue policy in this circumstance. Further, this study employs a spatial mediating effect model to analyze the spatial transmission mechanism. The results indicate that when a household has health shocks, it can aggravate the education burden of closely related households through inter-household social networks. The findings substantiate that the targets of different rescue policies have cross effects and that single rescue policy does not have significant effect on the targets of other policies. To avoid the situation where rescue policies operate in silos and to reduce the internal coordination cost between different policies within a system, a coordinating mechanism should be established between different rescue policies to better alleviate relative poverty.

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“…Likewise, Nasri and Belhadj (2017) used household expenditure to analyze regional multidimensional poverty, by only retaining expenditure related to three headings: food, health and education. Other works such as Belhadj (2012); Hasnaoui and Belhadj (2015); Zedini and Belhadj (2015) have adopted the same logic.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional measures of deprivation in Tunisia

Hassine¹,

Sghairi²

2021

J. Econ. Int. Finance

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Multidimensional poverty measurement in Tunisia: distribution of deprivations across regions

Cited by 9 publications

References 18 publications

Poverty-alleviation programs in Tunisia: selection processes and targeting performance indicators at the regional level

Poverty-alleviation programs in Tunisia: selection processes and targeting performance indicators at the regional level

Health Shocks and Household Education Burden—A Study From the Perspective of Relative Poverty Alleviation in China

Multidimensional measures of deprivation in Tunisia

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