Challenge statement
Challenge type: If you are working on multiple challenges, please indicate if this is your "big bet" or "exploratory" challenge.
Please note: we ask you to only submit a maximum of 3 challenges - 1x Big Bet, 2x Exploratory. Each challenge must be submitted individually.
BIG BET
Challenge statement: What is your challenge? (Please answer in specific terms: "Our challenge is that...”.)
Our challenge is that various groups of the population are excluded from the labour market.
Background: What is the history of your challenge? What is causing or driving it? Who is involved? How does the current situation look like? What undesired effects does it produce?
Given the significant percentage of young people in the country’s population, it is undeniable that they represent the hopes and aspirations for the future. without support and facilitation from a distant and unresponsive state. Although Maldivian youth live in the wealthiest country in South Asia, with a similar per capita GDP (measured in PPP terms) to Mexico or Argentina, Maldivians in the working age group are faced with many of the pressures of post-industrialist society. It seems to be the case that efforts to improve the well-being and empowerment of young people have lagged behind economic growth. Such absence of meaningful socio-economic participation and engagement is evident from the fact that twenty nine percent of the youth (between 18-35 years) remains without been engaged in any employment, education, or training (NEET) out of which 41% are women, and 15% are men, alluding to the increasing unpaid care burden of women after marriage or starting a family (Household Income and Expenditure Survey, 2019and the number of NEET below 22 are similar for men and women. A higher NEET rate for women after 22 years alludes. Job opportunities are less in rural islands compared to the volume of jobs created and available in the Greater Male’ Region and in other urban centres of the country. This is reflected by the fact that one third of the youth population, aged 18-24 years live in Male’, the capital city. Higher education enrolment is low in the Maldives compared to other Middle-Income Countries (International Organization for Migration, 2018). According to the latest Household Income and Expenditure Survey (HIES), overall unemployment is at 5.3% (4.8% among women and 5.6% among men). Also, 29 percentage of youth (between 18-35 years) belongs to Not in Education, Employment, or Training (NEETs) population, out of which 41% are women, and 15% are men (Household Income and Expenditure Survey, 2019). In the absence of appropriate labour governance mechanisms, such as a minimum wage and a strong labour regulatory institution creates a race to the bottom in terms of wages and working conditions, which further exacerbate the unemployment trends for Maldivian young people. Deficits in soft skills development and critical thinking in the education system and poor investment in professional skilling programs, including a negative attitude towards technical and vocational training programs, leaves the country with a labour force ill equipped to meet its development needs. Additionally, poor inclusivity in the employment landscape, gender stereotypes, issues related to harassment, unpaid care burden and the gender pay gap remains as hurdles to vulnerable groups like women’s and PWD’s participation in the labour force. Educational attainment of youth in agriculture, engineering, manufacturing, and construction are low compared to the fields of social science, business and law, and education. The disjuncture between the needs of the industries and educational programmes feeds into the gaps in the labour market with young local graduates being continuously marginalised due to lack of relevant qualification and experience. Such labour trends put the Maldives in a fiscally compromised situation (high outflow of foreign currency in the form of remittances) and has significant implications for the long-term development of the country as it has just completed its first demographic transition almost five years ago. The issue of addressing the various exclusions in the Maldivian labor market is a complex issue with linkages to education policy, migration policy, labor governance as well as the many sectoral policies that has driven the expansion of various sectors including tourism and construction.
Quantitative evidence: What (official) data sources do you have on this challenge that better exemplifies the importance and urgency of this frontier challenge? You can add text, a link, or a picture.
Maldives graduated from the Least Developed Country (LDC) category on 1 January 2011, owing to its high GNI per capita and human asset index (United Nations Committee for Development Policy, 2015). However, young people and women in the Maldives experience high levels of unemployment. While the country’s labour force participation rate is at 60%, the rate for men is much higher at 77% compared to 46% for women (National Bureau of Statistics, 2019). Tourism sector, which is the highest contributor to the country’s GDP, tend to employ large number of expatriates (National Bureau of Statistics, 2019). Even amongst the 47% local workers in the tourism industry, only 3% are local female workers. Labour force participation rate for 15-24 years is low with 45% for female and 56% for male. Although, labour participation rate is highest for the age groups 25-34 and 35-44, gender parity is lowest for both age groups. Accordingly, men’s labour participation rate for the age group 25-34 is 91%, while for women the figure is 55%. These disparities further augment the vulnerabilities of youth and women. The labour market consists of a total of 177,585 registered expatriate workers and out of which more than 40% of expatriates work in construction industry (National Bureau of Statistics, 2020). Given the huge number of undocumented migrant workers, this number is estimated much higher.
<p class="MsoNormal"><span lang="EN-GB"><a href="https://maldives.unfpa.org/sites/default/files/pub-pdf/unfpa_youth_analysis_web.pdf">https://maldives.unfpa.org/sites/default/files/pub-pdf/unfpa_youth_analysis_web.pdf</a><o:p></o:p></span></p> <p class="MsoNormal"><span lang="EN-GB"><a href="http://statisticsmaldives.gov.mv/nbs/wp-content/uploads/2018/07/Maldives-Population-Projections-2014-2054.pdf">statisticsmaldives.gov.mv/nbs/wp-content/uploads/2018/07/Maldives-Population-Projections-2014-2054.pdf</a><o:p></o:p></span></p> <p class="MsoNormal"><span lang="EN-GB"><a href="https://www.ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/documents/publication/wcms_625982.pdf">wcms_625982.pdf (ilo.org)</a><o:p></o:p></span></p> <p class="MsoNormal"><span lang="EN-GB"><a href="https://www.undp.org/content/undp/en/home/librarypage/democratic-governance/youth-vulnerability-in-the-maldives.html">Youth Vulnerability in the Maldives | UNDP</a><o:p></o:p></span></p> <p class="MsoNormal"><span lang="EN-GB"><a href="https://www.un.org/development/desa/dpad/wp-content/uploads/sites/45/CDP-PL-2015-8a.pdf">Microsoft Word - Doc 8- Maldives.docx (un.org)</a><o:p></o:p></span></p> National Bureau of Statistics > HIES 2019 (statisticsmaldives.gov.mv)
National Bureau of Statistics > Special Occasions (statisticsmaldives.gov.mv)
Qualitative evidence: What weak signals have you recently spotted that characterizes its urgency? Please provide qualitative information that better exemplifies the importance and urgency of this frontier challenge. You can add text, a link, or a picture.
Weak Signal: Increasing drug abuse and crime among youth Previous statistics show the majority of drug users in Maldives are between 15-24 years old. In the past years drug related offences have been on the rise, including among women and adolescents. The news media is filled with reports on this theme every week. Recently, more qualitative and investigative articles have come up about many young people trapped I the world of drugs, homeless and unable to access rehabilitation services. We have read stories of individuals as young as 19 years old, involved in drug abuse and trade. Often a common thread in these cases is their disengagement both socially and economically. We identified this as a weak signal of the current and future impacts of youth being excluded in the labour market. Photo story gives a glimpse of a generation falling through the cracks. https://mihaaru.com/gallery/1902
Value proposition: What added value or unique value proposition is your Accelerator Lab bringing to solving this challenge? Why is it your Lab that needs to work on this challenge and not other actors within UNDP, other stakeholders in the country respectively? Why is it worth investing resources to this challenge?
The UNDP Maldives Accelerator Lab’s value proposition is not so much in the actual intervention as much as the process of coming up with the intervention which leads to a greater shared understanding of the problem, what is already being tried and the opportunity that it provides to test certain assumptions. The issue of exclusions in the labour market is a space where a number of actors are doing different things at scale. However, the efficacy of those interventions and the learnings from those interventions have not been captured or shared in a systematic way. As part of its effort to co-create a portfolio of experiments on this issue, the UNDP Accelerator Lab has put together an Advisory Committee, consisting of various stakeholders who are also working on their own interventions and efforts to address the same issue. By convening all of these different stakeholders to be part of the process, the Accelerator Lab will be providing an opportunity for stakeholders to provide input to the design of an experiment, providing stakeholders working on this, an opportunity to test several assumptions that are implicit in their own interventions and also to share lessons learnt, share information about what they are all doing respectively. Given that the Maldives has completed its first demographic transition, and the closing window for the country to capture a demographic dividend from its now young and working population, is closing rapidly. Furthermore, those that are not engaged in productive employment or livelihood are costing the system. The prosperity of the country’s socio-economic future will largely depend on its ability to engage its young people in meaningful livelihood, and skill them to cater to the needs of current and future jobs.
Short “tweet” summary: We would like to tweet what you are working on, can you summarize your challenge in a maximum of 280 characters?
Many groups in our population are excluded from the labour market. Can investments in soft skills increase their chances of securing and retaining employment, and what are those specific skills that could make them more competitive?
Partners
Who are your top 5 partners for this challenge? Please submit from MOST to LEAST important and state Name, Sector and a brief description of the (intended) collaboration.
Please state the name of the Parter:
Local Government Authority
What sector does our partner belong to?
Government (&related)
Please provide a brief description of the collaboration.
One of the key partners in the second learning cycle and will be supporting the execution of our first experiment through their online learning platform ‘Kiyeveni’ portal.
Is this a new and unusual partner for UNDP?
No
Who are your top 5 partners for this challenge? Please submit from MOST to LEAST important and state Name, Sector and a brief description of the (intended) collaboration.
Please state the name of the Parter:
Ministry of Youth Sports and Community Empowerment
What sector does our partner belong to?
Government (&related)
Please provide a brief description of the collaboration.
One of the key partners in the first learning cycle and was involved during the sensing, exploration stage and now is continuing with us to co-create the design of our experiment through the First Learning Cycle Advisory Committee (FLCAC).
Is this a new and unusual partner for UNDP?
No
Who are your top 5 partners for this challenge? Please submit from MOST to LEAST important and state Name, Sector and a brief description of the (intended) collaboration.
Please state the name of the Parter:
Sparkhub
Learning questions
Learning question: What is your learning question for this challenge? What do you need to know or understand to work on your challenge statement?
Can improving soft skills in young people help in securing and retaining employment?
To what stage(s) in the learning cycle does your learning question relate?
Test
Usage of methods: Relating to your choice above, how will you use your methods & tools for this learning question? What value do these add in answering your learning question?
Behavioural Insights: To assess the effectiveness of customised nudges on the participants’ behaviour Minimal Viable Product (MVP): Develop an online learning course to enhance soft skills Participatory Design: Involve end-users in the design and development of the learning modules.
Existing data gaps: Relating to your choice above, what existing gaps in data or information do these new sources of data addressing? What value do these add in answering your learning question?
Surveys: information on skilling and skilling gaps and preferences for the type of soft skills people want to invest in developing User journey: insights on effective design of learning platforms Behavioural nudge messaging: Influence of customised messaging on behaviour of users. Direct interviews: Provide feedback on the online learning course from the participants who successfully complete the modules. insights on individual user journeys with the learning course and its efficacy Tracking data: Gather data on sign up, usage patterns and completion
Learning questions
Learning question: What is your learning question for this challenge? What do you need to know or understand to work on your challenge statement?
What are some of the barriers preventing certain groups' participation in the labour market?
To what stage(s) in the learning cycle does your learning question relate?
Explore
Usage of methods: Relating to your choice above, how will you use your methods & tools for this learning question? What value do these add in answering your learning question?
Collective Intelligence: Gather information, ideas, and insights from the problem space by involving diverse groups of people. Data Visualisation: helps visualize and make sense the information and insights gathered Micro Narratives: Gather insights on varied experiences and journeys of individuals. Solutions Mapping: Find out existing initiatives and solutions that are addressing barriers that different groups faces. Systems Thinking: Unpack the multiple systems and systematic challenges that contributes to barriers
Existing data gaps: Relating to your choice above, what existing gaps in data or information do these new sources of data addressing? What value do these add in answering your learning question?
Focus groups and direct interviews: Gather qualitative data and insights from various excluded groups to understand the dynamics of why they are not engaged in productive employment. Ethnographic data: directly observe different groups in an employment setting to see first-hand the barriers they face to contributing meaningfully
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