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).
Viet Nam’s economic growth cycle in 2023-2025 is in acceleration, with growth rates projected to be more than twice the global forecast and aligning to the country’s growth trajectory projected before the pandemic. This pace of growth is expected to exert a positive effect on reducing the incidence of poverty by most thresholds and dimensions – currently, 9.35% of the country’s population are shown to be vulnerable to multidimensional poverty (MDP).
However, such economic expansion would be increasingly dependent on carbon emissions as the country’s carbon emissions intensity of GDP is expected to increase at an annual rate of 10% due to fossil fuel usage, and of 6% when also considering land-use change. Floods, drought, changing weather patterns and increased incidence of extreme weather events will affect livelihoods and increase vulnerability to poverty, especially in the Mekong River Delta region. Therefore, boosting investments in people, technology and infrastructure will be crucial to building resilience and achieving Viet Nam’s ambitious goal of reaching high-income status by 2045.
Understanding how
Viet Nam
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.
Viet Nam
’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.
1.5: Build resilience to environmental, economic and social disasters
5.5: Ensure full participation in leadership and decision-making
7.1: Universal access to modern energy
9.5: Enhance research and upgrade industrial technologies
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.
Viet Nam's gross government debt is projected at 36.3% of GDP in 2023. The country is expected to collect 18.2% of GDP in revenue this year, with natural resources accounting for 2.4% of said revenue.1 The country's external debt servicing relative to revenue is expected to reach 6.4% this year, and its credit rating is in the ‘non-investment grade speculative’ category. As of 8 June 2023, the country’s 10-year bond yield was trading at 3.2%.
Viet Nam aims to develop more effective fiscal policy instruments, ensuring a countercyclical fiscal policy, including revenue growth (property taxes, capital gains taxes, carbon taxes). Investing and modernizing social protection systems, including universal child benefits and social pensions, to reduce inequality and ensure social resilience in the face of economic and health shocks, climate change and climate disasters. Challenges include ensuring less on foreign direct assistance and developing larger, export-oriented firms. Rationalization of public investment procedures and closer linkages to industrial and trade policy can help with these challenges, including developing domestic capital markets to increase supply of long-term domestic finance for productive investments. On the demand side, Viet Nam’s private sector needs to to develop larger firms with more complex financing requirements to boost demand for the development of domestic capital markets. On the supply side, the financial sector needs to accelerate bank consolidation and create new mechanisms to increase the supply of long-term, VND-denominated finance, ensuring state supervision and boosting the demand for a credit rating.
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
Viet Nam
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).