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Dynamics of subnational multidimensional poverty

March 25, 2024 0 Comments

 

Developing countries: the cases of Ecuador and Uruguay Dynamics of subnational multidimensional poverty in developing countries: the cases of Ecuador and Uruguay  can be analyzed from different perspectives. Multidimensional poverty covers deprivation among its indicators, which allows monitoring and developing public policies to cover social needs that are usually heterogeneous. In this work we focus on studying the dynamics of deprivation at the subnational level, through an indicator called the Local Multidimensional Poverty Index (LMPI), with the objective of covering multidimensional poverty in Ecuador and Uruguay between the two censuses 1990-2010. and 1996-2011 respectively. First, we construct the Multidimensional Poverty Indicator at the local level (sectors for Uruguay and cantons for Ecuador) for both countries using household microdata.

Our variable to explore multidimensional poverty

Through the indicator focuses on three pillars: education, basic public services and housing structure. Once the indicator is built that is comparable between local areas and between periods for both cases, we explore the Iran WhatsApp Data  spatial and temporal dynamics using salter graph , Moran test and Moran scatter plot and the spatial transition matrix. The results show that Uruguay is in a better position than Ecuador initially, however. Ecuador improved significantly during the study period. Both countries present spatial persistence in the LMPI. This evidence has several policy implications for Ecuador and Uruguay. First, both countries need to strengthen territorial cohesion and focus on reducing the  policies that allow a particular focus on specific areas within each country.

Secondly, the simple local index of multidimensional

Poverty that we due to its simplicity, to formulate and monitor the effects of economic and social policies.  As well as a tool to establish and  Japan WhatsApp Number List measure objectives at the local level and monitor the differences between areas and regions both in a given year and over time. This would allow us to detect those areas that show improvement and successful policies put into action. The identification of best practices could then contribute to balancing territorial inequalities. In summary, we consider the indicator as an important tool to achieve several Sustainable. This index maintained or changed over time.

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