Sustainable Development Goals Research Articles

Nourishing sustainability: clinical nutrition’s impact on climate change

IntroductionPreserving our planet's delicate balance is not merely a choice but a responsibility we owe to future generations, ensuring equitable, and sustainable world. The 2030 Agenda for Sustainable Development, adopted by all United Nations (UN) member states in 2015, offers a collective vision for global peace and prosperity. Central to this agenda are the 17 Sustainable Development Goals (SDGs), which call for unified action from all nations, irrespective of their developmental status, under a global partnership. MethodThis paper examines the SDGs' framework and its applicability to clinical nutrition (CN). We provide a comprehensive narrative review relating to the integration of SDGs in CN practices. Whilst recognising the importance of the SDG framework we elected to focus specifically upon the environmental aspects of CN care. ResultsThe analysis revealed that the SDGs provide a robust framework for promoting sustainability in clinical nutrition. Key findings highlight the interconnection between health improvement and other SDGs, such as poverty reduction and climate action. Effective CN practices contribute to broader sustainable development by ensuring better health outcomes, which in turn support economic growth and reduce inequalities. Additionally, strategies in CN that focus on reducing waste and improving resource efficiency align with environmental sustainability goals. Conclusion: The 17 SDGs offer a comprehensive guide for advancing sustainability across various fields, including clinical nutrition. By adopting these goals, healthcare providers can implement holistic strategies that not only improve health outcomes but also support broader efforts to achieve global sustainability.

Smart Grids: Integrating AI for Efficient Renewable Energy Utilization

The urgent global shift from fossil fuels to renewable energy sources necessitates innovative solutions to address energy system management challenges. Smart grids, equipped with sophisticated infrastructures, play a crucial role in this transition. This study integrates Artificial Intelligence (AI) into smart grids to enhance their efficiency and reliability, directly supporting the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 11 (Sustainable Cities and Communities). Employing a mixed-methods approach, the research utilizes historical and real-time data, applying machine learning algorithms such as Linear Regression, Support Vector Regression (SVR), Recurrent Neural Networks (RNN), and Long ShortxTerm Memory (LSTM) for predictive accuracy in energy management. Optimization techniques like Genetic Algorithms and Particle Swarm Optimization (PSO) are also implemented for resource scheduling and grid balancing. The results demonstrate significant improvements, with an 11.76% increase in energy efficiency and grid stability, a 66.67% reduction in prediction errors, and a 20% decrease in operational costs compared to conventional systems. These enhancements highlight the transformative potential of AI in smart grids, promoting more efficient and sustainable energy utilization. The study concludes that AI-driven smart grids are pivotal in achieving the SDGs by providing scalable and efficient solutions for renewable energy integration, thereby fostering sustainable development and reducing environmental impacts.

Factors Determining the Impact of Medical Tourism on Sustainable Development Goals: Evidence from Multiple Medical Tourism Stakeholders

The purpose of this study is to reveal the factors that determine the impact of medical tourism on sustainable development goals (SDGs). This study was conducted in descriptive cross-sectional type with 1057 medical tourism stakeholders from five continents between July 2023 and February 2024. Data were collected with an online survey. To determine the determinants, t test, ANOVA, Pearson correlation and Multi Logistic Regression analysis were performed. Odds ratios between “Yes” and “No Idea”, efficiency and sustainability (OR=1.101), policy (OR=0.975), ethics (OR=1.035), infrastructure (OR=1.917), and caring (OR=1.045) were found to be significant. Looking at the odds ratios between “No” and “No Idea”, efficiency and sustainability (OR=1.063), policy (OR=1.022), ethics (OR=1.024), infrastructure (OR=1.081), and caring (OR=1.048) were found to be significant. The roles and participation levels of stakeholders in medical tourism have been revealed as determinants of the impact of medical tourism on SDGs.

Designing a Digital Service System for Sustainable Social Value Creation: A Holistic Design Method Based on Socio-Cyber-Physical System Perspectives

Recently, data utilisation and digital service offerings are becoming primary methods of value creation. In this context, designing and offering ‘digital service systems’ (DSSs) that integrate physical elements (e.g., products, facilities, and physical infrastructure) and digital service elements (e.g., digital services, data, apps, and cloud systems) are important to create sustainable social values and achieve the United Nations’ Sustainable Development Goals 9 and 11. In this study, we propose a novel method for designing a DSS that simultaneously consider three system domains, namely social, physical, and digital domains. Specifically, we developed design models and a design process to support the DSS design. The proposed method was applied to an actual DSS design case. The results revealed that the proposed method could effectively consider components in the social system domain in addition to those in the digital and physical system domains in the DSS design. In particular, we identified that the proposed design models were useful for enabling the systematic management of a long-term collaborative design process among various stakeholders. They also enabled value-oriented thinking in DSS design and encouraged designers to consider different types of value in the DSS.

Integrating Multisource Data and Machine Learning for Supraglacial Lake Detection: Implications for Environmental Management and Sustainable Development Goals in High Mountainous Regions

The accurate detection and monitoring of supraglacial lakes in high mountainous regions are crucial for understanding their dynamic nature and implications for environmental management and sustainable development goals. In this study, we propose a novel approach that integrates multisource data and machine learning techniques for supra-glacial lake detection in the Passu Batura glacier of the Hunza Basin, Pakistan. We extract pertinent features or parameters by leveraging multisource datasets such as radar backscatter intensity VH and VV parameters from Sentinel-1 Ground Range Detected (GRD) data, near-infrared (NIR), NDWI_green, NDWI_blue parameters from Sentinel-2 Multi-spectral Instrument(MSI) data, and surface slope, aspect, and elevation parameters from topographic data. The entire dataset is partitioned into training and testing sets, with machine learning models including the artificial neural network (ANN), the support vector machine (SVM), logistic regression (LR), random forest (RF), and K-nearest neighbour (KNN) trained on the training data (70%). Accuracy assessment employs testing data and involves the evaluation of metrics such as ROC curves and confusion matrices. The best-performing model, ANN, is validated against manually digitized lake polygons derived from Sentinel-2 and Google Earth Pro imagery. Furthermore, the digitized lake polygons are used to analyze glacial lake dynamics from 2016 to 2022. Key findings of this research presented that the NDWI_green, Sigma0_VH, and elevation are the most significant predictors in detecting supra-glacial lakes. Among the various trained and evaluated models, the Artificial Neural Network (ANN) achieved the highest performance (accuracy: 95%, AUC: 0.99) and accurately mapped supra-glacial lakes regardless of their small size. The findings have significant implications for understanding glacial lake behavior in the context of climate change and informing future research and monitoring efforts.

Aligning common prosperity with sustainable development goals 3 and 7 through sustainable insurance

This paper develops a capped-call option model to evaluate sustainable insurance for achieving common prosperity. It integrates policyholder protection (Sustainable Development Goal 3 (SDG 3)) and the cap-and-trade mechanism (SDG 7) in modeling the Gini coefficient, thereby connecting SDGs 3 and 7 with common prosperity. The main findings are as follows. Life insurance policies that prioritize saving features enhance policyholder protection (SDG 3) but can detract from common prosperity. This impact is magnified when the regulatory cap within the cap-and-trade scheme for carbon-intensive manufacturers becomes stricter. High investment risks for carbon-intensive manufacturers reduce policyholder protection but support common prosperity. A stricter cap-and-trade scheme (SDG 7) also reduces policyholder protection and contradicts common prosperity. This paper avoids concluding any inherent inconsistency between the SDGs and common prosperity, as our analysis is based on the structure-conduct-performance paradigm rather than a macro perspective. Policymakers should carefully balance objectives between SDG 3 and common prosperity to ensure that policies promoting individual security do not compromise broader societal well-being and economic equality, as outlined by the SDGs.

Renewable Energy in Nepal: Current State and Future Outlook

Nepal’s energy mix is predominantly based on traditional and inefficient biomass and fossil fuels. As a result, there is a notable prevalence of energy scarcity in the country. Within the literature, there exists a lack of a comprehensive review of the potential of renewable energy in the country while the relatively less contribution of renewable energy resources, making the country more vulnerable to adopt a more carbon-intensive energy policy. Consequently, in this study, we conduct a thorough review of existing literature to provide a comprehensive assessment of the current status of renewable energy and the energy mix in Nepal. We also discussed the potential for the country to transition to a sustainable energy system. This review analysis exclusively focused on scholarly articles and research reports that specifically addressed the topic of renewable energy in Nepal. Despite the rapid decline in the cost of solar photovoltaics, Nepal’s renewable energy share currently stands at only 3.2%. This paper argues that Nepal needs proactive and favorable strategies and policies to effectively implement clean energy, based on the given premises and the country’s aspirations for sustainable energy. This involves a substantial amount of solar power production combined with battery storage, supplemented by storage methods such as off-river pumping hydropower technology. The study emphasizes the significance of renewable energy in achieving the United Nations’ Sustainable Development Goals (SDGs). This review also emphasizes the obstacles in the advancement of Nepal’s renewable energy industry and offers suitable policy suggestions to address these obstacles, hence facilitating a sustainable shift in energy.

Domestic and foreign cap-and-trade regulations, carbon tariffs, and product tariffs during international trade conflicts: A multiproduct cost-efficiency analysis

This paper develops a down-and-out call option model with structural breaks to examine the effects of domestic environmental policies on carbon-intensive firms amid international trade conflicts. The findings reveal that stricter cap-and-trade regulations, carbon tariffs, and product tariffs exacerbate pollutant-specific diseconomies of scale, limit economies of scope, and reduce firm equity. The positive impact on pollutant-specific diseconomies of scale leads to higher pollution, hindering progress toward Sustainable Development Goal 7 (SDG 7: Affordable and Clean Energy) from a multiproduct cost-efficiency perspective. Meanwhile, the negative impact on economies of scope results in fewer products and pollutants, aligning with SDG 7 but conflicting with Sustainable Development Goal 8 (SDG 8: Decent Work and Economic Growth), as the scope measure accounts for efficiency in both products and pollutants. Additionally, the negative impact on firm equity discourages progress toward both SDGs, especially during trade conflicts. In summary, environmental policies distinctly affect firm multiproduct cost efficiency and equity, particularly under varying trade conflict conditions.

Which Sustainable Development Goals Favor Crowdfunding Success?

This study examines the impact of the framing of sustainable development goals (SDGs) in crowdfunding campaign descriptions on fundraising success. We compile a dataset of 25,799 Indiegogo campaigns and quantify their relative focus on the 17 United Nation's SDGs. We find that the amount raised and the number of backers increase by 17.3% and 8.3%, respectively, if the number of SDG-related sentences in the campaign description increases by one standard deviation. Additionally, focusing more on issues related to climate, energy, sustainable societies, and responsible consumption promotes whereas focusing on ending poverty or innovation, industry, and infrastructure reduces fundraising success.

Rural-urban disparities in basic sanitation access among households: a multivariable decomposition analysis of Ethiopian demographic and health survey 2019

IntroductionDisparities in access to basic sanitation services between rural and urban households pose significant challenges to public health and human development. Understanding the determinants contributing to this gap is vital for advancing the Sustainable Development Goals (SDGs) and improving environmental and public health through evidence-based interventions.ObjectiveThis study aims to analyze and understand the disparities in access to basic sanitation services between rural and urban households in Ethiopia.MethodsThis study analyzed a sample of 8,663 weighted households, collected using stratified sampling techniques, utilizing the data from the 2019 Ethiopian Demographic and Health Survey (EDHS). The primary outcome was basic sanitation access, defined as access to flush or pour-flush systems, septic tanks, pit latrines, or composting toilets. A multivariable decomposition analysis was conducted to identify factors contributing to rural–urban disparities. Statistically significant variables were determined at a p-value of <0.05 with a 95% confidence interval.ResultsThe weighted proportion of basic sanitation access in Ethiopia was 13.78% (95% CI, 12.67–14.96), with significant disparities between rural (6.02%) and urban (27.15%) residents. Endowment factors accounted for 78.9% of this disparity, while behavioral coefficients contributed 22.1%. If the characteristics of respondents in rural and urban households had been similar, significant factors that would have narrowed the gap included the age of the household head (15–35 years), the absence of under-five children, smaller family size, and the attainment of secondary education, reducing the gap by 1.83, 2.07, 5.08, and 3.25%, respectively. Conversely, illiteracy and primary education levels widened the gap between rural and urban access to basic sanitation services by 16.85 and 0.23%, respectively. Additional factors exacerbating the rural–urban disparity included poverty (which widened the gap by 58.71%), residence in pastoralist regions (which widened the gap by 10.10%) or agrarian regions (which widened the gap by 7.03%), and access to water sources located more than 30 min away (which widened the gap by 7.91%).ConclusionSignificant disparities in access to basic sanitation services exist between rural and urban households in Ethiopia. Key factors contributing to these disparities include the age of the household head, education level, family size, region of residence, and water source proximity. Addressing these factors is essential for improving sanitation access and achieving the Sustainable Development Goals (SDGs).

Analysis of The Impact of Factors Affecting the Recovery of Small and Medium Enterprises in Vietnam with the Goal of Sustainable Development in the Context of Economic Crisis

Objective: The article analyzes the impact of various factors on the profitability of small and medium-sized enterprises (SMEs) in Vietnam amidst an economic crisis, using a dataset of Vietnamese SMEs from 2016 to 2018 across different provinces nationwide. Method: Employing panel data regression techniques in two forms: Fixed Effects (FE) and Random Effects (RE) models to estimate the impact of factors on enterprise profitability. Results and Discussion: Through estimating the two models on the article's dataset, the RE model shows that the coefficients of the explanatory variables in the model are statistically significant, whereas the FE model's coefficients are not. The estimation results from the RE model indicate that all variables including equity value, number of foreign workers, number of sectors the enterprise operates in the dummy variable for state support, average labour cost, and the dummy variable for the main operating sector of the enterprise affect the profitability of the enterprise. The RE model results suggest that the most significant factors impacting enterprise profitability are the business sector and state support. We need to have policies that create favorable conditions for businesses to achieve sustainable development goals (SDG). Conclusions: Results from the estimated model show that the most important factors affecting business profits are the business sector and state support. The state and businesses need to take measures to innovate activities to help businesses develop sustainably during the economic crisis.

Shifting official development assistance during COVID-19: earmarking, donor concentration and loans

ContextIn contrast to bilateral aid, aid disbursed from multilateral institutions increased significantly at the onset of the COVID-19 pandemic. Yet, at a time when a coherent and effective multilateral response...

Fostering an age-friendly Marketing Education: Integrating IntergenerationalLearning in Marketing Courses

ABSTRACT This manuscript examines the adaptation and integration of intergenerational learning to create an inclusive marketing education environment. The development of innovative course designs to promote intergenerational learning and age-friendly curricula is an opportunity for educational institutions, given a demographic shift in many parts of the world. An innovative course design is featured that addresses a gap in marketing education literature regarding intergenerational classrooms, aligning with AACSB’s societal impact objectives and the UN Sustainable Development Goal #4 – to promote inclusive education and lifelong learning opportunities for all. Guided by the contact hypothesis, we discuss a modular approach to intergenerational classrooms that promises to break down barriers for older adult learners, increase the effectiveness of intergenerational learning, and benefit students of all ages. This manuscript features a three-week intergenerational module integrated into a semester-long (16-week) consumer behavior course consistent with experiential learning theory principles. We use this module to illustrate the potential of integrating intergenerational learning in marketing education and highlight the necessary conditions to adopt similar modules in other marketing classes. This approach fosters environments conducive to inclusivity and societal wellbeing.

Environmental sustainability from a decoupling point perspective

Combatting climate change is of global importance. The fact that all UN member nations have agreed on the sustainable development goals (SDGs) is testament to this. The manufacturing industry plays a crucial part in meeting these goals. However, if manufacturing firms are to improve in terms of sustainability, such efforts must be reconcilable with their ability to make profit. Hence, sustainability efforts must be adapted to firms’ individual context and competitive priorities.Focusing on environmental sustainability, this paper is the first to empirically investigate and compare the commitment to environmental sustainability practices (ESPs), and the outcomes of such practices, across make-to-order (MTO) and make-to-stock (MTS) manufacturing plants. Furthermore, the paper investigates whether the customer order decoupling point moderates the relationship between characteristics of lean and agile manufacturing and ESPs. Hypotheses are developed based on extant literature and tested. The results indicate that MTO plants experience more benefits related to manufacturing and financial performance from their ESPs than MTS plants. The data also show that the association between ESPs and the outcomes of such practices are more robust for MTO plants than they are for MTS plants. Plausible explanations for these results are discussed and the findings of the paper are connected to the contemporary topic of smart manufacturing, as well as potential policy implications. Suggestions for future research are also provided.

Block-level spatial integration of population density, social vulnerability, and heavy precipitation reveals intensified urban flooding risk

Under the context of global warming and rapid urbanization, cities worldwide confront the pressing problem of urban waterlogging, hindering progress towards Sustainable Development Goals. Effective planning and mitigation of urban flooding require a comprehensive understanding of the spatial and temporal patterns of rainfall and risk heterogeneity. However, evaluating urban water-logging risk is challenged by the need for city-scale hydrological simulation and generally lacks comprehensive metrics integrating fine-scale datasets. To address these gaps, we developed a simulation method for urban flood hazards by integrating hydrological models and Random Forest algorithms. We then took Shenzhen, a megacity in China, as a case study, and investigated the spatial patterns of urban flooding risk and its determinants at the block level based on the risk assessment framework represented by Hazards-Exposure-Vulnerability (H-E-V) dimensions. We found that socio-economic indicators exhibited spatial clustering, while hazard-related indicators displayed more dispersed patterns. High-risk areas exhibited a highly heterogeneous spatial pattern, predominantly influenced by vulnerability and exposure factors, as well as the spatial mismatch among the three dimensions. Our results emphasize the importance of integrating spatial heterogeneity of exposure and vulnerability into climate adaptation resource allocation, addressing both current and future demands for effective climate mitigation.

A STUDY OF JAMBI BATIK ARTISANS IN INNOVATION AND STRATEGIC DECISION-MAKING TO INFLUENCE THE DEVELOPMENT AND RESILIENCE OF THE JAMBI BATIK INDUSTRY

This study investigates Jambi batik artisans' resilience and innovative strategies in overcoming economic challenges and disruption in the textile industry. Using a qualitative approach with data analysis based on Miles and Huberman’s interactive model, the research delves into how these artisans creatively adapt to changing market demands by incorporating alternative materials, eco-friendly dyes, and distinctive local designs to enhance product appeal. The study also explores their marketing strategies, which leverage digital platforms and direct sales at exhibitions, significantly expanding their consumer reach and maintaining competitiveness. This combination of traditional artistry and modern tactics supports the preservation of Jambi's cultural heritage. It aligns with Sustainable Development Goals (SDGs) related to responsible production, decent work, and gender equality. The findings reveal that Jambi batik artisans successfully merge traditional motifs with contemporary styles, allowing them to preserve local identity while meeting evolving consumer preferences. Notably, this research highlights how artisans overcome resource limitations and market fluctuations by engaging in strategic collaborations, fostering community support, and adopting digital innovations to broaden their reach. This study's novelty lies in its focus on the dual role of cultural preservation and sustainable economic practices, offering insights into how traditional industries can thrive in modern contexts. The outcomes emphasize that with strategic innovation, the Jambi batik industry has substantial potential for sustainable growth, presenting a model for other cultural enterprises seeking resilience in the face of globalization and economic challenges.

Conservative political rhetoric and associated enduring threat to constitutional right to abortion – A case study from Brazil

Abortion is a critical public issue in Brazil where over 800,000 abortions might occur each year, with approximately 250,000 admitted to emergency departments due to complications from unsafe procedures. A new bill seeks to amend the Brazilian Penal Code (Código de Processo Penal), classifying the practice as a felony for patients over 22 gestational of weeks, even in cases where the practice is already legally foreseen (e.g., derived from sexual abuse, as an attempt to save pregnant individuals at high-risk, or due to fetuses’ anencephaly). This bill undermines several Sustainable Development Goals (SDGs) endorsed by the United Nations, particularly those related to health (Goal 3), gender equality (Goal 5), and inequality and poverty reduction (Goal 10). Amongst the extensive list of potential solutions to the abortion challenge that Brazil currently faces, a feasible and plausible alternative relates to investment in education, in particular sexual education aimed at adolescents.

Toward high-integrity forest carbon market of ethnic minority groups in Dak Lak province, Vietnam

Forest carbon markets have demonstrated numerous benefits across economic, social, and environmental dimensions, while also advancing sustainable development goals. This study examines the primary policy mechanisms and conditions related to the development of high-integrity forest carbon markets in Dak Lak province, Vietnam. Utilizing a combination of SWOT analysis and the DPSIR framework, the study provides a comprehensive evaluation of the opportunities, challenges, driving forces, pressures, potential impacts, and responses associated with developing these markets. The Gold Standard method was also employed to estimate the potential contribution to carbon emission reductions through the new forest planting programs in the province. Data analysis from 202 households and in-depth interviews with fifteen experts revealed that local residents have limited information about the forest carbon market. While forest management officials at various levels are aware of the market, there is a lack of specific guidance, limited participation in training sessions and workshops, and insufficient instructional materials. Dak Lak holds significant potential for carbon emission reductions, with an estimated average forest carbon storage capacity of 7.5 tCO2/ha/year for an afforestation/reforestation (A/R) carbon project. This initiative is projected to contribute approximately $753,972 annually to the province’s GRDP and generate 280 jobs for local communities. However, the technical and financial resources are challenging in the province. The study identifies critical issues and proposes appropriate solutions to support Dak Lak in developing high-integrity forest carbon markets in alignment with the national roadmap, ultimately contributing to the achievement of sustainable development goals.

Analysis of NSSO data sets for a spatial evaluation of water and housing inequality in India

Achieving all Sustainable Development Goals by 2030 to meet basic needs and improve quality of life has become ever more significant. This study examines the accessibility and factors affecting safe drinking water and housing across India's socioeconomic strata to support Sustainable Development Goals (SDG) 06 and 11. The study also assesses government programs that provide affordable housing and safe water. This study analyses key aspects of the 76th National Social Survey on Housing and Sanitation (NSSO WASH) data on housing conditions and drinking water to determine how each component affects people's standard of living. Descriptive analysis, probit, and multinomial logistic regressions were used to tabulate socioeconomic factors such household size, location, gender, income, education, occupation type, social group, and scheme recipient. Our study found that there was 20% more likely that households in the lowest quintile income bracket have access to clean drinking water; thanks to government schemes like the National Rural Drinking Water Programme and Atal Mission for Rejuvenation and Urban Transformation. Due to socioeconomic inequities, some social groups are more likely to lack safe water services, according to the study. Gender and education, especially female family members, affect access to basic needs. Rural households get 26% less safe drinking water than urban households. Vulnerable groups face lack of access to clean water and safe housing/shelter due to these gaps. Further, a new composite index has been devised to assess housing and clean water inequalities across Indian states. To achieve the Sustainable Development Goals, research recommends increased government initiatives and investments, as well as appropriate monitoring and evaluation mechanisms, for WASH conditions, boosting women's education and awareness in suboptimal states.

Changes in the European Union households' consumption structure and the sustainable development

The subject of this study is the relationship between the households' consumption structure changes and sustainable development. This research was conducted for the European Union (EU) countries in the years 2008-2020. Additionally, in the investigation, the considered area is divided into two separate regimes: countries that joined the EU before 2000 (referred to as Old EU Member States) and countries that joined the EU later (called New EU Member States). It is widely known that the territorial units in the first regime are relatively wealthier than those in the second group. As a result of differences in wealth between the defined regimes, consumer behaviours can vary. Sustainable consumption (SC) is one of the major aspects of sustainable development. SC indicates consumer choices that are both intentional and effective, and these choices demonstrate a positive impact on environmental and/or social conditions. In this research, the influence of households' consumption changes on the environmental pillar of sustainable development is evaluated. Caring for the natural environment is one of the main challenges today. In this research, another approach to measure environmental development is proposed. So far, different types of footprints have been used. This analysis considers most of the environmental indicators defined in the Sustainable Development Goals (SDG's). The environmental development of EU countries is evaluated based on the synthetic measure of development proposed by Hellwig. Moreover, the spatio-temporal sensitivity models are estimated and verified. The sensitivity parameter of these models shows the impact of consumption structure changes on environmental development, wherein the consumption structure is categorized into four groups of goods: services, non-durable, semi-durable, and durable. The spatial autoregressive (SAR) models are also estimated and verified. The investigation results point out the differences in the influence of consumption structure changes on sustainable development depending on the considered group of countries.