Sustainable Development Goals Indicators Research Articles

A systematic study of interactions between sustainable development goals (SDGs) in Hainan Island

The 2030 Agenda for Sustainable Development issued by the United Nations is an important foundation for countries to achieve common economic, social and environmental development. Important progress has been made in the evaluation of the Sustainable Development Goals (SDGs) in Hainan Island; nevertheless, there is still a lack of understanding around the trade-offs and synergies between the SDGs. Studying the trade-offs and synergies between Hainan Island’s sustainable development goals is of great significance for the coordinated development of these goals and the promotion of the construction of free trade ports. Therefore, based on the United Nations Sustainable Development Assessment System and the existing SDG indicator system on Hainan Island, this paper identifies and quantifies the trade-offs and synergies within and between SDGs and targets on the county scale. Based on the different impacts of different spatial, dimensional and geographical directions, the results show the following: (1) Hainan Province made good progress on multiple SDGs between 2010 and 2021. (2) The most significant synergies between SDGs exist between SDG1 (No Poverty) and SDG10 (Reduce Inequalities), while the most significant trade-offs exist between SDG2 (Zero Hunger) and SDG4 (Quality Education). (3) Obvious spatial characteristics in trade-offs and synergies exist, with the highest level of synergy being in the Haikou and Sanya Economic Circles and their surrounding areas, and in the central region of Hainan Island which has a higher level of trade-offs. (4) The synergistic effect between the SDG targets and indicators in Hainan is much greater than the trade-off effect: the four aspects of people’s livelihood improvement, economic development, resource utilization and environmental quality all show synergistic effects in different regions.

Mapping of FinTech Ecosystem to Sustainable Development Goals (SDGs): Saudi Arabia’s Landscape

Financial technology (FinTech) has become an indispensable part of most of the business infrastructure around the world. The FinTech ecosystem provides this solution by providing a suitable environment for all financial techno services to synergize. This paper explores the relationship between FinTech programs in Saudi Arabia and the Sustainable Development Goals (SDGs). It highlights how these financial technology initiatives contribute to various SDGs by providing innovative solutions that enhance financial inclusion, improve access to essential services, and foster economic growth. Specifically, the study identifies connections between FinTech programs and SDG goals 1 (No Poverty), 2 (Zero Hunger), 5 (Gender Equality), 8 (Decent Work and Economic Growth), and 17 (Partnerships for the Goals). Through these linkages, this paper demonstrates the role of FinTech in promoting sustainable development and supporting national and global efforts to achieve these crucial objectives. Secondary data were collected from published reports, institutional and governmental websites, official portals, and research papers focusing on the companies operating in Saudi Arabia. It was found that FinTech in Saudi Arabia is addressing SDGs goals 1, 2, 5, 8 and 17. This paper further endeavors to map specific SDG indicators to the products and services provided by FinTech companies in Saudi Arabia. By doing so, it seeks to identify the areas where these technological solutions directly support the achievement of sustainable development targets. This comprehensive analysis is intended to be a valuable resource for institutions and policymakers in the FinTech industry. It provides insights into how these companies can align their offerings more closely with the SDG framework, thereby addressing any existing gaps. The findings aim to aid in the global agenda of eradicating poverty and promoting sustainable development opportunities by leveraging FinTech innovations.

Integrating SDGs, One Health and transdisciplinarity into AMR Education Strategies

Abstract Introduction The increasing prevalence of Antimicrobial Resistance (AMR) threatens modern medicine, undermines food security, and impedes environmental sustainability. The complexity of AMR requires various stakeholders to contribute to mitigate this challenge. We discuss the critical need for integrating the One Health framework, transdisciplinarity, and Sustainable Development Goals (SDGs) within AMR education; and demonstrate how these integrations enhance the effectiveness of educational strategies against AMR. Methods Through a review of existing literature and analysis of multiple interventions, we synthesize findings from instances where One Health strategies have been applied. We assess their effectiveness in fostering cross-sector collaboration and enhancing health outcomes, thereby providing a grounded framework for developing integrated educational strategies. Results Our analysis reveals that AMR education programs incorporating the SDGs and One Health principles are more likely to foster interprofessional collaboration and a deeper understanding of AMR. Case studies demonstrate that such educational approaches significantly improve the preparedness of health professionals in managing AMR through innovative and cooperative approaches. Despite the significant potential of One Health education in impacting global health positively, current interventions lack specific SDG indicators directly related to AMR, suggesting a gap in policy and global health prioritization. Conclusions By aligning AMR education with SDGs and One Health, there is an opportunity to enhance global health security. We call for a paradigm shift in educational strategies to effectively combat AMR, advocating for policy reforms and curriculum adjustments to incorporate these integrated approaches. The findings are crucial for educators, policymakers, and healthcare professionals aiming to redesign AMR education to be more comprehensive and globally oriented. Key messages • AMR education integrated with SDGs and One Health enhances interprofessional collaboration and understanding, improving health professionals’ preparedness to manage AMR effectively. • Current AMR educational strategies lack specific SDG indicators; aligning education with SDGs and One Health can significantly boost global health security.

The status of reproductive Health Indicators in Iran, Compared to the Sustainable Development Goals of the World Health Organization

Background and Objectives: Health indicators such maternal and child mortality rates are social indicators that are used to measure the development of each country. This study aims to investigate the status of maternal and child health indicators and total fertility rate in the last 10 years in Iran compared to the sustainable development goals (SDG) of the World Health Organization (WHO). Methods: This is a systematic review study. A search was first conducted to find studies related to the study objectives in Iran from 2012 to 2022 in online databases of SID, IranDoc, Web of Science, PubMed, Scopus and Google Scholar, using the keywords: Health, fertility, mothers, children. The results of the studies were compared with the SDG indicators of the WHO. Results: The initial search yielded 162 articles. After removing duplicates and screening the studies based on the inclusion criteria, finally 20 articles were selected for the review. The status of SDG indicators in Iran, except for neonatal mortality rate and low birth weight, was in accordance with the SDGs of the WHO until 2030. Conclusion: In the last ten years, the status of most SDG indicators in Iran has been favorable. However, the attention should be paid to the factors affecting neonatal mortality rate and low birth weight to reduce their rates and improve the country’s health status.

Changes in global trade patterns increase global inequality towards Sustainable Development Goals

Reaching the UN's sustainable development goals (SDGs) is influenced by a country's position in global value chains and its involvement in international trade. Here, we assess how changes in global trade patterns (CGTP) during 2004 and 2014 impacted 13 SDG indicators in 141 countries/regions which are further divided into four income groups. Trade pattern is characterized by the direction, composition, and magnitude of trade, indicating an economy imports what types (composition) and magnitudes of goods or services from where (direction). We find that CGTP aggravated socioeconomic and environmental inequality between countries in two ways: 1) the amount of indicators that significantly worsened due to CGTP decreased from 8 indicators (2004–2007) to 1 (2011–2014) for high-income and upper-middle-income countries, but increased from 5 to 14 for lower-middle-income and low-income countries; 2) CGTP led to a coupling of value added with most natural resource consumption and environmental pollution indicators for low-income countries, while they strengthened decoupling or reducing coupling for other countries. The findings imply one key to achieving SDGs is to address the inequality between rich and poor countries through implementing policy interventions that influence import and vertical supply chain thereby shifting the trade patterns towards environmental-economic decoupling in poor countries.

Sustainable Development in Regional Socio-Economic Strategies in the Central Chernozem Macro-Region

The concept of sustainable development in modern territorial management is gaining momentum more intensively and dynamically. Socio-economic and environmental aspects are embedded in strategic national and regional documents of a long-term nature. The degree of achievement of the Sustainable Development Goals (SDG) adopted by the UN Agenda is assessed and monitored in various reports of international and industry organizations, which affects the reputational characteristics of countries. The publication presents the results of a review of the achievement of Sustainable Development Goals N 9 (SDG-9): “Industrialization, innovation and infrastructure” (Creation of sustainable infrastructure, promotion of inclusive and sustainable industrialization and innovation) in 5 subjects of the Russian Federation of the Central Chernozem macro-region for the period 2015–2022. Indicators for monitoring the achievement of SDG-9 in the regional context were proposed by the authors when comparing the national set of SDG indicators and statistical indicators characterizing the development of the subjects of the Russian Federation. The main research methods are systematization, content analysis and the method of structural and dynamic assessment. In the course of the study, a unified regional list of SDG-9 indicators was formed; an empirical assessment of this list of indicators was carried out on the materials of 5 subjects of the Central Chernozem macro-region and an overview of the degree of achievement of this goal in the studied regions. The authors conducted a comparative review of the strategies of social and economic development of the subjects of the Central Chernozem macro-region for the existence of principles of sustainable development.

The Role of the Agricultural Sector in Sustainable Development: Analysis of Data Availability and Achievement of Sustainable Development Goal Indicators for Goal 2 (Zero Hunger) -- Case Study of Madiun Regency and Madiun City

This research aimed to identify the role of the agricultural sector in achieving the sustainable development goals (SDGs). One of the SDGs related to the agricultural sector was Goal 2, zero hunger. Before assessing the extent of the agricultural sector’s role by measuring the achievement level of indicators in Goal 2, another challenge in evaluating sustainable development progress was data availability. This study employed a case study approach in two areas: Madiun District and Madiun City. The research findings revealed that in Madiun District, out of the 11 indicators in Goal 2, 4 indicators lacked data. In terms of achievement levels, five indicators were achieved and two were not achieved. In contrast, Madiun City had data for each indicator, with eight indicators achieved and three not achieved. The research concluded that data availability for development indicators at the municipal government level was significantly better compared to the district level. The urgency of data availability lies in obtaining an overview of sustainable development achievement in a region and determining future steps through policies and strategic measures, particularly in supporting sectors like agriculture. Keywords: sustainable agriculture, sustainable development goals, SDGs assessment

Pre-service Teachers’ Perceived Importance of and Performance on Sustainable Development Goals

This study aimed to examine the awareness and performance of pre-service teachers in Taiwan regarding the Sustainable Development Goals (SDGs). A mixed-methods research approach was employed, utilizing a questionnaire survey to obtain quantitative data on pre-service teachers’ perceived importance of and performance on SDGs. Qualitative data were supplemented through interviews with professors and pre-service teachers at a university that incorporated SDGs into its pre-service teacher education courses. The findings revealed that pre-service teachers perform best in “Quality Education” and “Gender Equality.” Men with STEM(Science, Technology, Engineering, Mathematics) fields demonstrated higher levels of awareness of sustainable development, and pre-service teachers majoring in STEM fields outperformed those in non-STEM fields in SDGs performance. Pre-service teachers identified “Good Health & Well-being,”“Life below Water,” and “Life on Land” as the indicators in most urgent need of improvement. Integrating the SDGs into teacher education programs can assist pre-service teachers in enhancing their awareness and performance regarding various SDG indicators.

Using remote sensing data to study anthropogenic land degradation in Khulna Division, Bangladesh for SDG indicator 15.3.1

The Sustainable Development Goals (SDGs) include a goal on land degradation: indicator 15.3.1 (proportion of degraded land over total land). It is not always easy to monitor the SDGs, and remote sensing could be an effective tool for monitoring several SDGs. This study assessed land degradation in Bangladesh's Khulna Division over the past two decades. The Trends.Earth toolset was used to assess land degradation during the baseline period (2001–2015) and the reporting period (2016–2020). Inputs include data from the United Nations Convention on Desertification, and outputs include three sub-indicators: land productivity, land cover change, and soil organic carbon (SOC) stocks. Over the past 20 years, the land use and land cover, land productivity, and SOC content of the study area have undergone substantial changes. A significant change was observed in croplands, water bodies, and built-up areas. Croplands have been converted into settlements and tree cover. Nonetheless, there is an increase in land productivity in the area (>64 %) accompanied by a small percentage of decreasing productivity (approximately 9 %). Accordingly, the SOC in major land areas (84.68 %) is stable with 66,475 tons of carbon lost from croplands. Overall, this area reveals substantial progress in SDG indicator 15.3.1 with a clear transformation of degraded land (from 10.38 % to 8.46 %) into stable land (32.09 %–64.01 %). Land degradation is mostly seen in Khulna, Bagerhat, Satkhira, Kushtia, and Jashore areas. Land covers change for urbanisation, developments, water logging, and salinity intrusion cause land degradation. Despite poor representation of the SOC and normalised difference vegetation index datasets in the waterlogged areas, the Trends.Earth-generated results are informative and stand alone. With the results of this study, policymakers may be able to develop more appropriate land management plans by better understanding the complex interconnections of land change processes.

Sustainable Development Goals in the reports of insurance companies in Poland

Purpose: The article examines the types of Sustainable Development Goals (SDGs) presented in the reports of 28 insurance companies in Poland and assesses progress in their implementation.Methodology/approach: The research was divided into two stages. The first stage examined the scope of SDGs referred to by insurance companies in their annual re-ports for 2021 and 2022, establishing an indicator of commitment to SDGs reporting. The reports of insurance companies were analyzed in terms of the types of SDGs to which the insurance companies referred. In the second stage, indicators for measuring SDGs found in the reports were identified, based on the Polish set of SDGs indicators for business, developed as part of the 17 Goals Campaign in 2019. Findings: The SDGs most frequently referred to by insurance companies were often not reflected in the indicators used to assess their implementation. This means that insurance companies indicate SDGs but do not assess the extent of their implementation in the form of indicators.Research limitations/implications: The set of SDG indicators for business used in the study does not consider the specificity of insurance companies related to the scope and nature of their activities. This implies the need to develop an assessment tool dedicated only to insurance companies or to extend the one already in place. Originality/value: The examination of the reports of insurance companies, which are a group of important entities influencing the development and implementation of sustainable development, should be considered original. The novelty of the research is the identification of the types of SDGs presented in the reports of insurance companies, as well as the assessment of progress in their implementation through the use of a set of SDG indicators for business developed within the framework of the 17 Goals Campaign.

Designing an Effective Minimum Wage Policy for Sustainable Development in India

The articulated objectives of the minimum wage policy in India—specifically targeting poverty alleviation, reducing income inequality, promoting gender equity, and encouraging responsible consumption—are fundamentally aligned with the broader principles of the Sustainable Development Goals (SDGs). These policy goals, if effectively implemented, have the potential to make substantial contributions toward the achievement of multiple SDGs, particularly those related to ending poverty (SDG 1), reducing inequalities (SDG 10), promoting gender equality (SDG 5), and ensuring decent work and economic growth (SDG 8). However, the complex structure of minimum wages in India poses several challenges to achieving these outcomes. Among these challenges, we specifically discuss partial coverage, low rates of minimum wage fixation and a high incidence of noncompliance. The limited coverage undermines the effectiveness of minimum wage policies as a tool for poverty reduction and income redistribution. Noncompliance not only denies workers their rightful earnings but also perpetuates cycles of poverty and inequality. It particularly affects vulnerable groups, such as women and rural workers, who are more likely to be employed in sectors with weak enforcement of wage standards. By surveying some recent empirical literature, we identify the significance of minimum wages in mitigating poverty, income inequality and promoting gender equality and decent work. Literature from India suggests that minimum wages if implemented with full compliance would reduce poverty by 7-10 percent and gender wage gap up to 18 percent. Further, we elaborate briefly on strengthening the minimum wages. Universalising the legal coverage of minimum wages is the first step towards an effective minimum wage policy. Fixing adequate levels of minimum wages and then revising them from time to time with inflation indexing is the next important step. Lastly we argue that enabling a conducive environment for firms; compliance is the most crucial. This paper is intended to stimulate further discussion and reflection on the vital role that minimum wage policies can play in advancing the SDGs in India. By linking minimum wages more explicitly to the SDGs, policymakers can develop more integrated and effective strategies to tackle poverty, reduce inequality, and promote sustainable economic growth. The goal is to ensure that minimum wages not only provide a safety net for workers but also contribute to broader social and economic development objectives.

Statistical analyses of gender disparities in unpaid work in Georgia

Using data from the Labour Force Survey (LFS) with a quarterly sample size of 6,400 households and the Georgia Time Use Survey (GTUS) covering 3,680 households nationwide, this article investigates gender disparities in unpaid work in Georgia and their impact on individual welfare. Employing international methodologies, we calculated new statistical indicators and refined existing ones, including the improvement of Sustainable Development Goal indicator 5.4.1 (SDG 5.4.1). Regression analysis identified education level as a significant factor influencing unpaid work. Our findings underscore significant gender disparities in unpaid work, leading to heightened workloads and temporary poverty for women. These disparities persist across various demographic factors. This research contributes to understanding the dynamics of unpaid work and its implications for gender equality and welfare.

Spatiotemporal evolution in achieving the Sustainable Development Goals on the Qinghai–Tibet Plateau in 2000–2020

Assessing the sustainable development level of the Qinghai–Tibet Plateau (QTP) is of great significance for China’s sustainable development. With rich natural resources, a fragile ecological environment, and a relatively low level of economic development, the QTP is typical of regions in China where conflict between socio-economic development and environmental protection is prominent. However, there is a lack of assessment of spatiotemporal progress in achieving the Sustainable Development Goals (SDGs) on the QTP. To address this gap in knowledge, cluster analysis was used to quantitatively assess spatiotemporal changes in SDG indicators and sustainable development levels in different counties of the QTP from 2000 to 2020. The results show that the sustainable development level of the QTP is increasing; the growth rate of the sustainable development in 2010–2020 was three times that of 2000–2010. The level of sustainable development in the eastern region is significantly higher than that in the western region. However, while the level of sustainable environmental development is high, the levels of sustainable social and economic development remain low. Certain factors, including precipitation, slope, population density, and cultivated area, are strongly positively correlated with the sustainable development of the QTP. The findings of our study can serve as a valuable reference for other jurisdictions seeking to evaluate their evolution towards the SDGs.

Prevalence of child maltreatment in a nationwide sample of 18 to 31 year-olds in Germany

BackgroundChild maltreatment (CM) can have devastating and potentially lifelong effects for those affected and is a major contributor to mental health problems. To tackle public health problems it is crucial to have reliable data on CM. The aim of this study is to assess the prevalence and predictors of CM in a nationwide sample of the German population of young adults.MethodsThe study population (young adults aged 18 to 31 years) stems from the KiGGS Cohort study, the longitudinal branch of the German Health Interview and Examination Survey for children and adolescents. This sample meets the criteria of the United Nations Sustainable Development Goals (SDG) indicator 16.2.3. The data was collected between 2014 and 2017. CM were assessed with the Childhood Trauma Questionnaire (CTQ) in. In addition, socio-demographic variables and other known risk factors for CM were assessed. A total of 6433 (47.8% female) participants were included in the analyses. Binary logistic regression analyses were used to investigate predictors of maltreatment subtypes. Ordinal regression was used to examine their association with experience of multiple forms of CM.ResultsOverall, 18.4% (f: 20.9%, m: 16.1%) of the participants reported having experienced at least one type of CM; 6.7% (f: 8.8%, m: 4.8%) reported experiences of emotional abuse, 3.7% (f: 3.9%, m: 3.5%) physical abuse, 3.5% (f: 5.3%, m: 1.7%) sexual abuse, 9.0% (f: 9.9%, m: 8.2%) emotional neglect and 8.6% (f: 8.5%, m: 8.7%) physical neglect. Gender, subjective social status, education and household dysfunction (e.g. living with an individual who is using substances) emerged as significant predictors for different types of CM. Additionally, all these factors were significant risk factors for experiencing cumulative CM.ConclusionsCM is common in the German population, with almost one in five people experiencing at least one type of CM. The results reveal important risk factors for the occurrence of CM. In particular, people with lower social status and those who grew up in dysfunctional households are at higher risk of CM. Greater support for this vulnerable population may reduce the prevalence of CM.

Sexual and Reproductive Health Goals and the 2030 Global Agenda for Sustainable Development: Progress, Prospects, and Challenges

Today it is globally recognized that sexual and reproductive health is a human rights issue critical to economic growth and stability, ending poverty, and fostering sustainable development. Calls for improving sexual and reproductive health, including a spotlight on adolescents and young women, are highlighted in the Sustainable Development Goals (SDGs) adopted by the United Nations in 2015. In this commentary, we aim to (1) briefly review the history and objectives of global development goals (2) review the adolescent health related SDG targets and indicators with focus on sexual and reproductive health (3) discuss global progress and challenges in achieving target measures and (4) examine action steps that clinicians can take to accelerate progress.

Assessment of rural sustainable development and analysis and prediction of obstacles and coupled coordinated development: A case study of Zaozhuang City

In China, the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initiative for executing the United Nations (UN) 2030 Agenda for Sustainable Development. The Zone also plays critical roles in addressing the developmental bottlenecks that China faces and sharing Chinese insights into global sustainable development efforts. On July 15, 2022, the State Council endorsed the Zone’s establishment in Zaozhuang City, Shandong Province, where it focuses on innovation-led sustainable development in rural areas. Research into the levels, impediments, interdependencies, and evolutionary trends of rural sustainable development is crucial. Therefore, this research aimed to assist in comprehensively assessing developmental challenges and facilitating the harmonious advancement of social, economic, and environmental aspects in rural areas. In pursuit of the three fundamental dimensions of the UN’s Sustainable Development Goals (SDGs), namely development’s drivers, quality, and equity, this study was grounded in China’s national Rural Revitalization Strategy and the demands of sustainable development strategies. It also aligns with the UN 2030 Agenda for Sustainable Development and the associated SDG indicators. Focusing on four key areas, namely production elements, natural elements, social elements, and rural governance, this study developed an evaluation index system for assessing the level of rural sustainable development. It employed a range of analytical models, including the game theory-based combination empowerment method, barrier degree model, coupling degree model, coupling coordination degree model, and gray prediction GM(1,1) model, to analyze the status and evolving trends of rural sustainable development in Zaozhuang City from 2015 to 2022. The key findings were as follows: ① Relative to the baseline year 2015, the sustainable development level in Zaozhuang’s rural areas has shifted toward an improved state overall. ② The primary barrier to achieving rural sustainable development in Zaozhuang is the city’s rural governance system. ③ While the components of rural sustainable development in Zaozhuang are in the early stages of both basic and moderate coordination, an overall enhancement has occurred in their integrative coordination. ④ Between 2023 and 2025, the level of integrative coordination in Zaozhuang is expected to rise steadily. However, reaching a state of advanced coordination will require additional time for development.

Implementing life cycle thinking and climate change indicators in small and medium size enterprises

The policy for a low emission society requires that companies measure their impact from a life cycle perspective for both products and corporate reporting. This work presents new climate performance indicators to evaluate business models (BM) based on life cycle assessment (LCA) and benchmarked with statistics for Sustainable Development Goal indicator 9.4.1. The research was conducted by action case studies involving 20 small and medium sized enterprises (SMEs) from various sectors. The SMEs did not have previous experience with LCA. Therefore, a work process called “LCA á la carte” was designed to gradually increase details and effort. The results of simplified indicators on the manufacturing SMEs showed that the direct emissions to value added are lower than industry average. However, when upstream emissions and value added were included, the emission intensities are about industry average. The full life cycle climate indicators are presented for a boat production company that experiment with new BMs. Use phase electrification was found to be the most effective measure (60 % lower emission intensity), while material recycling and boat rental each reduced the emission intensity with about 30 %. However, a combination of these new BMs gives best results and could be needed to reach future benchmarks. This study suggests LCA for BM as a combination of a work process, actors' perspectives, and performance indicators. The results highlight that the scope of activities included in the performance indicators is crucial. New reporting standards such as the European Sustainable Development Standard (ESRS) should review the emission intensity indicators to ensure consistency between the scopes of activities included.

Citizen science supports national reporting of a Sustainable Development Goal indicator: A case study of plastic debris density on beaches

Global momentum to address plastic pollution has led to the development of national processes to monitor plastics into and within the environment. The Sustainable Development Goals (SDGs) provide guidance for reporting on plastic pollution, although compiling national estimates remains a challenge. Data availability remains a key barrier, which could be addressed through engagement with the citizen science community, which collects and maintains data at a resolution suitable for SDG reporting. Here, we demonstrate a process that uses citizen science monitoring of plastic debris on beaches to report on SDGs at the national scale. The study uses the Australian Marine Debris Initiative (AMDI) Database, which is composed of data submissions from over 1400 organisations across Australia. The AMDI was used to provide initial estimates of plastic debris density both nationally and across Natural Resource Management areas (NRMs). Before analysis, the database was filtered for data quality and alignment with guidance for SDG reporting (i.e., SDG Indicator 14.1.1b), resulting in the analysis of 3144 events across 538 sites between 2014 and 2019 (inclusive). The average density of plastic debris on beaches across Australia was between 0.155 and 0.279 counts m−2, with management relevant trends identified across NRMs. This study demonstrates the potential for the citizen science community to support SDG reporting and management processes, which could inform and enable actions to address plastic pollution.

One third of African rivers fail to meet the ’good ambient water quality’ nutrient targets

The ambition of Sustainable Development Goal (SDG) target 6.3 is to improve global water quality by 2030. SDG indicator 6.3.2 monitors progress towards this target by assessing water bodies against ‘good’ ambient water quality criteria, with nutrients (nitrogen and phosphorus) as part of the key metrics. However, large data gaps present a fundamental challenge, especially for Africa on how to assess the progress being made with respect to both the current and desired future situations. Here, a continental water quality model for Africa is presented to simulate river sediment load, Total Nitrogen (TN) and Total Phosphorus (TP) loads and concentrations. Furthermore, critical areas and hotspots of TN and TP pollution are mapped for the period 2017 – 2019, in relation to the United Nations Environment Programme (UNEP) target thresholds used for the assessment of SDG indicator 6.3.2. Utilizing the UNEP’s criteria, which designates a water body as having “good ambient water quality” if 80% or more of its monitored values meet their targets, it is estimated that 44 % and 15 % of African rivers fail to meet the set water quality thresholds for simulated TP and TN, respectively. When synthesizing data for both TP and TN, 34 % of the rivers do not qualify as having “good ambient water quality”. Geographically, the most pronounced nutrient pollution hotspots were in North Africa, Niger River Delta, Nile River basin, Congo River basin and specific zones in Southern Africa. These areas correlate with regions characterized by high inputs of fertilizers, manure and wastewater discharge.

Navigating the Selected SDGs: Unraveling Past Shortcomings for a Future of Prosperity

This study examines the United Nations' development framework, encompassing the Millennium Development Goals (MDGs) and Sustainable Development Goals (SDGs), in the context of Pakistan's engagement and advancement. While MDGs faced challenges in Pakistan due to diverse factors, SDGs were embraced as the nation's blueprint for development with a well-coordinated institutional setup. The study's main objective is to assess the institutional coordination and implementation of SDGs at national and provincial tiers. Through comprehensive stakeholder interviews and an analysis of specific SDG indicators, the study identifies regions with varying degrees of susceptibility to falling short of set targets. The research assessed annual progress levels and compared them to the 2030 targets, using data from PSLM and PDHS surveys. Districts were categorized based on their estimated annual change requirements, offering a concise overview of indicator status in Pakistan. The findings underscore the potential challenges faced by Sindh, Baluchistan, and specific districts in KP, shedding light on Pakistan's trajectory towards sustainable development.