UNDP’s Integrated SDG Insights explore how to achieve the SDGs by 2030. So that no one is left behind.
‘SDG Insights’ playbooks transcend development “as usual,” and leverages data innovation, AI and systems analysis to chart credible pathways that help countries meet the 2030 Agenda.
SDG Moment — This section provides an overview of a country's economic growth trajectory, with new insights on sustainability and inclusiveness of growth pathways.
SDG Trends & Priorities — This section builds from the foundation of national SDG progress and uses machine learning to analyse national development ambition with an SDG lens.
SDG Interlinkages — Combined, these insights are mapped against SDG interlinkages to define policy choices the accelerate SDG progress, tailored to national context.
Finance & Stimulus — These policy choices are made against fiscal constraints and opportunities for stimulus mapped in this section to ensure choices translate to development impact and leave no one behind.
While economic growth is a key element in achieving the SDGs, many countries are intent on moving beyond growth as a yardstick for progress. In the short run, growth enables the SDGs; but in the long run, the SDGs aim to transform the pattern of growth itself.
Poverty: Percentage of the population under each threshold (PPP$ a day).
Data not available.
Carbon Intensity: CO2 emissions intensity of GDP (tCO2 per PPP $1,000).
Benin's growth trajectory during the 2023-2025 cycle is in acceleration, projected to be twice than the world’s forecast. Although the COVID-19 pandemic and the war in Ukraine have disrupted the sound momentum of structural transformation initiated over the past ten years, the proper management of these crises enabled Benin’s growth to gradually align itself to its pre-crisis projections.
As part of the Government's Action Programme (PAG) 2021-2026, the national authorities are placing good governance, socio-economic transformation and improving the well-being and the living environment of populations at the heart of public development policies. This is reflected in both the projected reduction of poverty and in the favourable land-use change. Yet there are still some challenges in the fight against poverty, especially when using more stringent poverty thresholds, whereas Benin’s carbon emissions intensity of GDP is expected to slightly increase at an annual rate of 1% due to fossil fuel usage.
Understanding how
Benin
performs against the SDG targets provides a baseline landscape against which to build integrated SDG pathways. SDG progress tracking follows UN Stats standards and methodology, and is aligned with country profiles.
Benin
’s national priorities are analysed using machine learning to reveal the most prominent SDGs referenced in national policy documents. This analysis uses a custom-built model for SDG classification. It considers 100k+ terms, including phrases and expressions.
Maps synergies and trade-offs of national priorities to the most relevant SDG targets to chart policy pathways with most potential to accelerate progress.
8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value.
Everyone knows the dialectical link between employment and economic growth. Economic growth is a prerequisite for increasing productive employment; it is the combined result of increases in employment and labour productivity.
In Benin, labour productivity is very low and the country is not yet benefiting from the demographic dividend, with the majority of workers holding low-wage jobs.
Productive employment being a priority for the Government, a national action plan has been drawn up and its implementation is underway. The action plan takes into account the challenges of the high rate of underemployment, low employability and dearth of youth entrepreneurship (girls and boys). It is also underpinned by the provision of services, particularly in the field of social protection, the application of regulations and the collection of public revenues to finance the supply of public goods.
9.2: Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry’s share of employment and gross domestic product, in line with national circumstances, and double its share in least developed countries.
Benin suffers from the lack of industrial infrastructure likely to promote its development. In addition, the Beninese research and innovation sector faces problems and constraints that keep the sector in a state of stagnation. The prevalence of the informal sector does not promote the emergence of competitiveness.
The vector of real structural transformation, the contribution of target 9.2 to the increase in GDP and employment, particularly in agro-industry, manufacturing, textiles, mines and hydrocarbons oil, is beneficial and the harbinger of the economic emergence of Benin.
The Beninese economy, dominated by agriculture, is not very diversified and focuses mainly on 2 export products (cotton, cashew). The secondary sector contributes slightly (less than 20%) to GDP. Moreover, manufacturing industries remain largely undiversified despite the various policies and strategies implemented for the development of the sector since independence.
To this end, the Government has adopted the National Development Plan 2018-2025 which, in its application, has set itself the objective, among other things, of “Promoting sustainable industrialization that benefits everyone and, by 2030, significantly increases the contribution of 'industry to employment and the creation of wealth”.
16.6: Develop effective, accountable and transparent institutions at all levels.
The implementation of institutional reforms through the establishment of effective public institutions, and the improvement of transparency and accountability have been the driving forces behind the transformative dynamic initiated by Benin since 2016. The Governance Diagnosis carried out by the IMF in 2022 highlighted very positive developments linked to recent or ongoing reforms. Main areas of improvement are as follows: Public finance in terms of results-based management, tax policy in term of domestic tax collection and the rule of law in terms of the accessibility of legislation.
However, room for improvement remains, which seems to be mainly due to weaknesses in the legal and institutional framework for the fight against corruption, and an occasional lack of capacity or means.
In fact, in a spirit of continuity in terms of public sector performance, the Government has made the strengthening of public governance and the participation of the populations one of its major pillars of public action between now and 2030.
15.1: By 2020, ensure the conservation, restoration and sustainableuse of terrestrial and inland freshwater ecosystems and their services.
By prioritizing Target 15.1 in its 2021-2025 National Development Plan, Ecuadorreaffirmed the significance of protecting and preserving terrestrial ecosystems andtheir biodiversity. This includes recognizing that the investment projects intendedto fulfil Target 15.1 will not only contribute to achieving the SDGs 13, 14 and 15, butwill also help restore ecosystems that underpin the availability and comprehensivemanagement of water resources (SDG 6) and promote their sustainable use (Target12.2). Additionally, it will also foster the generation of new energy from renewablesources (Target 7.2).
To this end, Ecuador seeks to strengthen the management of the National Systemof Protected Areas through its 2022-2032 Strategic Plan and the implementationof the National Forest Restoration Plan 2019-2030. These instruments serve as thetechnical, legal and financial foundation for executing local forest restorationprocesses with a landscape vision, with an overall goal of covering 30,000hectares through its projects. Considering that the proportion of national territoryunder conservation or environmental management, as of 2022, stands at 22.1%, itis necessary to mobilize additional financial resources from various sources andestablish robust governance (Target 17.3) to intensify the care of protected areas.This ensures the conservation of natural and cultural resources, genetic flows, theprovision of environmental services for the benefit of the population and thealignment of policies on the ground.
SDG Push is a futures scenario based on 48 integrated accelerators in the areas of Governance, Social Protection, Green Economy and Digital Disruption. It uses national data to explore the impact on human development by 2030 and 2050 across key SDG indicators. It does this by using ‘International Futures,’ a systems model designed to explore interactions across development systems.
Many countries are facing reduced fiscal space, high debt levels, rising interest rates and downgrades on credit ratings. Fiscal and financial constraints tend to slow or even reverse SDG progress.
Benin's gross government debt, projected at 52.8% of GDP in 2023, is 4.5 percentage points (pp) above the low-income developing countries (LIDC) group of 48.3%. The country is expected to collect 14.4% of GDP in revenue this year, thus close to the LIDC group's 14.9%.
Benin's external debt servicing this year is expected to be as high as 26.4% of revenue compared to 14.1% for the LIDC average. The country’s credit rating is in the `highly speculative’ category and slightly above the LIDC average. Due to limited ability to absorb export-related and commodity price shocks and its susceptibility to natural disasters, Benin's latest World Bank and IMF Debt Sustainability Assessment from May 2023 rates the country `in moderate risk of debt distress’. Consequently, Benin faces a challenge in mobilizing a stable and predictable financial resource base, which can largely only be achieved through domestic resource mobilization. Hence, there is an urgent need to intensify activities related to tax reforms in general and to the country's tax transition in particular.
The UN Secretary General’s SDG Stimulus Plan lays out a blueprint for action within the existing financial architecture. It includes:
Given the projected fiscal and financial constraints faced by
Benin
possible funding options for the investments derived from the identified interlinkages are as follows:
Click here to view the Methodological Note for the Integrated SDG Insights.
This report is the result of a global exercise carried out using artificial intelligence to identify SDG priorities based on 10 national government documents, together with SDG progress and SDG interlinkage analysis. The implementation and monitoring of the 2030 Agenda in Argentina should be consulted in the Country Reports and National Voluntary Reports.
Methodology
Assesses challenges and opportunities in national growth trajectories with insights on environmental sustainability and inclusiveness.
Data Sources
Future trajectories to 2025 are based on IMF-WEO GDP projections, distributions of per capita income or consumption from the World Bank, and CO2 emissions from the Global Carbon Budget 2022 and EDGAR (JRC and IEA).
Methodology
SDG trends tracks progress from 2015 to date for the 231 indicators. National priorities are analysed using machine learning to reveal the most prominent SDGs referenced in national policy documents.
Data Sources
SDG trends tracks progress from 2015 to date for the 231 indicators. National priorities are analysed using machine learning to reveal the most prominent SDGs referenced in national policy documents.
Methodology
SDG trends tracks progress from 2015 to date for the 231 indicators. National priorities are analysed using machine learning to reveal the most prominent SDGs referenced in national policy documents.
Data Sources
The exercise globally considered a total of 454 documents published from 2015 to August 2022. (Miola et al., 2019 updated in 2021-2022)
Methodology
Provides insight into indicators of fiscal and financial stress with options (INFF) for stimulus and other means to accelerate progress.
Data Sources
Most recent resource data from UNU-WIDER GRD (between 2018 and 2021), debt and revenue from IMF WEO (between 2020 and forecasts for 2023), external debt from IDS (2023), yields from Haver Analytics (8 June 2023), credit ratings from S&P, Moodys and FITCH (2023), and DSA ratings from World Bank/IMF (31 May 2023).