Multidimensional Poverty in the Voluntary National Reviews

In 2016 and 2017 many countries have been reporting progress on Multidimensional Poverty Reduction. Below we highlight excerpts of their reviews and link to the full-reports for reference.

Bangladesh writes of plans “for introducing Multidimensional Poverty Index (MPI) measurement in future” (page 13).

Belize writes that “the enhanced methodology due to be employed in the Caribbean Development Bank (COB) sponsored country poverty assessment will allow Belize to measure poverty using a national multidimensional definition, which is currently being finalized after a draft was developed as part of the Comprehensive Review of the Social Protection System in Belize conducted last year. This follows the methodology of the Oxford Poverty and Human Development Initiative (OPHI). (Page 20)

In Chile, the national MPI identifies 20.9% of the population as poor. Chile’s MPI is disaggregated by subnational regions, rural-urban, gender, age cohort, indigenous status. And policy reflects not just the level but also the composition of poverty in terms of education, health, work, housing and environment, and social networks.  In Chile’s consultations preparing for the VNR, they found that one of the most relevant challenges was Poverty in all its dimensions – monetary, and multidimensional.

According to Colombia (2016) poverty reduction in Colombia occurred in all its dimensions. Non-monetary reductions were tracked and accelerated using a multidimensional measure that implemented the Alkire Foster methodology. In 2010, 30.4% of the population were MPI por where as in 2015 it was 20.2%. Colombia’s MPI is disaggregated by gender, age, urban/rural, and regions.

Costa Rica  also uses an Alkire-Foster (AF) MPI, because it sees the challenge of Poverty reduction should be approached in a multidimensional form, as it’s national strategy outlines. Since October 2015, Costa Rica has used its MPI to coordinate policies and implement novel initiatives – especially those that address traditionally excluded populations like those with disability, indigenous persons, women, and migrants.

Egypt (2016) drew attention to its reduction of the global MPI published by UNDP and Oxford University, which is a recommended indicator for SDG Target 1.2

Guatemala uses the Global MPI as measure of poverty to track SDG indicator 1.2.2 as a provisional basis. Nowadays, Guatemala is in the first phase of a national MPI construction process, which would imply to estimate this index in an official way at country level for the first time, in order to complement the income poverty measure.

Honduras uses a national MPI as an official measure of poverty to track SDG1. It observed  that its MPI helps it to advance not only in SDG1 but also in other SDGs such as food security (SDG2), Education (SDG4), Water and sanitation (SDG6) and others.

India made a significant move towards addressing multidimensional poverty by using a multidimensional targeting approach, in order to leave no one behind.

Indonesia flagged multidimensional Poverty as an ‘emerging issue’ that is related to education, health, living standards. Indoensia is working “to ascertain multidimensional poverty in order to improve poverty alleviation programs to be effective in identifying the roots causes of poverty, which are different in each region.” (page 19 and 20)

Jordan described that it is developing “a multi-dimensional poverty index specific to Jordan (still in progress), based on the right to a decent and dignified life as opposed to the fulfillment of basic-needs approach.” (page 40)

Nepal’s VNR says: “Multi-dimensional poverty reduced from 64.7 percent in 2006 to 44.2 percent in 2015 (OPHI 2016) dropping by an average of two percentage points per year. These achievements were largely due to improved health and education and increased remittances incomes.”…  “The government aims to bring down the percentage of people living below the poverty line to 4.9 percent and to reduce multi-dimensional poverty to 10 percent by 2030. The NPC has set targets of an annual economic growth rate of 7.2 percent and 4.7 percent annual growth in the agriculture sector during the Fourteenth Plan period (2016/17- 2018/19) and to increase per capita gross national incomes to $2,500 by 2030.” (page 14 and 15)  Reference (page 38): OPHI (2016). OPHI Country Briefing December 2016: Nepal. Oxford: Oxford Poverty and Human Development Initiative.

Panama extensively described its official MPI as one of the principle instruments to progressively improve public policies. For example its main messages were:“ The multidimensional poverty index was established as a principal instrument for shaping public policy. To that end, dimensions and indicators were selected, the disadvantages and gaps characterizing poverty were defined, deprivation was quantified and poverty was defined in multidimensional terms.”

Philippines (2016) indicated an intention to conduct studies on MPI.

Sierra Leone (2016), which is reporting MPI as an SDG indicator, indicated an intention to measure multidimensional Poverty, explaining that during its public, regional, and national engagements, one key point that emerged was the “relevance of a multidimensional approach to poverty measurement for the success of the SDGs” (page 10)

Tajikistan reported the incidence of MPI in its country, with urban and rural disaggregations. Its strategy to address the urgent issue of Poverty is multidmensional and includes “addressing food security, food quality and safety, energy security, water sector issues, climate change, other SDGs, affecting the standard of living and well-being of the population.” (page 9)