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The strategy for optimally allocating resources in the indicators of the Multidimensional Poverty Index: Applying a simulation model for the State of Palestine

ESCWA Publication: E/ESCWA/CL2.GPID/2022/BACKGROUND PAPER.1


Country: State of Palestine

Publication Type: Working papers

Cluster: Gender Justice, Population and Inclusive Development

Focus Area: Inclusive development, Population dynamics & migration

Initiatives: Addressing multidimensional poverty

SDGs: Agenda 2030, Goal 1: No Poverty, Goal 5: Gender Equality, Goal 11: Sustainable Cities and Communities, Goal 13: Climate Action

Keywords: State of palestine, Poverty, Education, Transport economics, Water, Unemployment, Housing, Developing countries

The strategy for optimally allocating resources in the indicators of the Multidimensional Poverty Index: Applying a simulation model for the State of Palestine

October 2023

The phenomenon of poverty in Palestine is one of the main phenomena that the Palestinian government seeks to confront and reduce, due to the economic and social problems it causes on the one hand, and the lack of social justice on the other hand. The Multidimensional Poverty Index is one of the basic tools that measure the multiple forms or dimensions of poverty faced by the most disadvantaged families.

In this context, the State of Palestine intends to benefit from the methodology for calculating the Multiple Poverty Index in accordance with the national policy agenda, national consensuses, and the State of Palestine’s commitments to international agreements and treaties, and the 2030 Sustainable Development Goals with a view to developing a strategy to combat multidimensional poverty.

In this study, the Economic and Social Commission for Western Asia (ESCWA) proposes an objective method to identify the strategy that a country should adopt for the allocation of resources and proceed with developing a budget guided by the evidence of multidimensional poverty in key sectors to achieve the goal of reducing multidimensional poverty. This modeling-method seeks to optimize the use of the state resources with the aim of reducing the percentage of poor people to the lowest possible cost and with the highest degree of effectiveness.

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