Sustainable Development Goals Research Articles

Unraveling contemporary trends on United Nations sustainable development goals: A new global bibliometric and literature review analysis

AbstractThis review presents a bibliometric performance and systematic literature review of research publications related to the 17 United Nations (UN) sustainable development goals (SDGs) in business studies. The study employs the 2020 revised Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) framework to systematically evaluate and identify 583 articles sourced from esteemed academic databases, including Scopus and Web of Science, as well as seven reputable publishers and digital libraries, for subsequent analysis and synthesis. The identified 583 papers on SDGs, authored by 1610 scholars and published in 207 peer‐reviewed sources, are analyzed using VOSviewer and R Studio software. The analysis reveals the existence of nine independent clusters of SDGs business research: artificial intelligence and digitalization (red cluster), business collaboration (green cluster), corporate sustainability (blue cluster), circular economy and corporate social responsibility (yellow cluster), entrepreneurship and innovation (purple cluster), education for developing countries (aqua‐cluster), climate change and tourism (orange‐cluster), Africa perspectives (brown cluster), and sustainable investment (black cluster). This review highlights the foundation of the business studies debate linked to the advancement of the SDGs after the adoption by the United Nations. Key insights, future research directions and conclusion including implications are discussed.

Challenges and opportunities towards meeting the United Nations’ Sustainable Development Goals from coral and seaweed ecosystems in an era of climate change

Challenges and opportunities towards meeting the United Nations’ Sustainable Development Goals from coral and seaweed ecosystems in an era of climate change

Pengaruh Penerapan Green Accounting, Environmental Disclosure, dan Material Flow Cost Accounting Terhadap Sustainable Development Goals: Studi Kasus pada Perusahaan Manufaktur yang Terdaftar di BEI

The purpose of this study was to examine the effect of Green Accounting, Environmental Disclosure and Material Flow Cost Accounting (MFCA) on Sustainable Development Goals (SDGS). The population utilized is manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2019 - 2023. The sampling technique used was purposive sampling, so that the sample amounted to 100 observations (20 companies for 5 years). The analysis technique utilized is the classic assumption test, multiple linear regression analysis. The results showed that green accounting and environmental disclosure have an effect on achieving SDGs, while MFCA has no influence on SDGs. This study has implications for manufacturing companies that implement green accounting by incurring environmental costs that will help improve the company's SDGs.

MODELING TOURIST ARRIVALS IN THE ISLAND GARDEN CITY OF SAMAL: IMPLICATIONS TO BUSINESS OPERATIONS OF TOURISM-RELATED INDUSTRY

<p>This study aimed to model the tourist arrivals in the Island Garden City of Samal (IGaCoS) by utilizing the autoregressive integrated moving average (ARIMA) method. Specifically, this paper sought to determine whether there was a statistically appropriate forecasting model using the ARIMA approach, based on which it would be possible to reasonably forecast the number of tourist arrivals in IGaCoS. Quantitative secondary data were analyzed by employing the Box-Jenkins ARIMA. The time series plot was characterized by an apparent increasing trend combined with intermittent sinusoidal oscillations. The time series revealed a steady, gradual increase up until 2020. Next, a sharp decline was observed midway through 2020, indicative of the ill effects of the COVID-19 pandemic. A gradual increase was noted once more, starting in 2021, with some fluctuations. The Augmented Dickey-Fuller (ADF) test revealed that the time series was non-stationary at level— but was made stationary after differenced twice. The ARIMA (1,2,1) model was found to be statistically significant. The fitted model initially showed some notable deviations from the original data, but, with time, converged closely to the actual values, proving it is a reliable way to represent underlying patterns. The ARIMA (1,2,1) model, selected for having the lowest AIC and BIC values and a MAPE within the acceptable range for reasonable forecasting, was used to predict tourist arrivals in IGaCoS over the next six months. The forecasted values suggested a mix of fluctuations and stability. There was a noticeable upward trajectory at the beginning, which was followed by a slight decline at the end that yet remained stable. The forecasted results from the ARIMA (1,2,1) model may provide businesses with a roadmap for comprehensive planning in terms of operational and strategic concerns. This study helped address Sustainable Development Goal (SDG) No. 8, Decent Work and Economic Growth.</p><p><strong>JEL:</strong> L83, R11, C53</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0776/a.php" alt="Hit counter" /></p>

Empowering local food security: A systematic review of community grain banks

Community food systems, exemplified by initia­tives like community grain banks (CGBs), play a crucial role in achieving Sustainable Development Goal 2 (SDG 2), which aims to achieve zero hunger and ensure food security by 2030. This paper draws upon a systematic review of the literature on CGBs to emphasize the relevance of community institutions in enhancing local food security. Adhering to Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, this paper reviews 16 aca­demic articles, two theses, and 19 online sources. The study reveals that CGBs offer immediate relief during food shortages, empower women, stabilize farmers’ income, reduce debt burdens, foster social trust, and enhance community resilience. This review highlights the need for international stake­holders to prioritize supporting CGBs to preserve the self-sustaining systems. Tailoring CGB designs to community-specific needs could significantly enhance local food security, offering actionable strategies to mitigate severe food insecurity globally and regionally.

Calculative Practices Shaping the Global Accountability Forum for Climate Agenda

ABSTRACTCalculative practices are everywhere, including the enactment and diffusion of sustainable development goals, such as quantifying and monetizing carbon markets, criteria for allocating donations for sustainability programs, and performance measurement of compromises and goals. We critically explore the performativity and counter‐performativity from the calculative practices orbiting and shaping the annual debate on climate governance and how they are related to the vulnerability of populations. Our qualitative analysis comprised a comprehensive set of documents produced by enrolled participants of meetings and workshops between two annual Conferences of the Parties of the United Nations. We identified and exemplified three calculative practices, and despite their intended performativity, some counter‐effects, like social exclusion and criticism by stakeholders, arise.

A cost-effective climate mitigation pathway for China with co-benefits for sustainability

Climate mitigation policies have broad environmental and socioeconomic impacts and thus underpin progress towards the United Nations Sustainable Development Goals (SDGs). Through national-scale integrated modeling, we explore the spillover effects of China’s long-term climate mitigation pathways (CMPs) on achieving all 17 SDGs, and then identify a cost-effective CMP for China with co-benefits for sustainability. Our analysis indicates that the 9 original CMPs and 180 bundled CMPs can both substantially boost the SDGs, resulting in an increase of 6.33–8.86 and 5.90–9.33 points in overall SDG score (0=no progress, 100=full achievement) by 2060, compared to the Reference pathway of 70.75 points, respectively. The identified cost-effective CMP deals with the trade-offs among sustainability, CO2 emissions and mitigation cost, and maximizes the synergies between them. This CMP can inform future directions for China’s policy-makers to maximize the potential synergies between carbon neutrality and long-term sustainable development.

New urban agenda: sustainable development goals, urban mobility and healthy cities

The trends of modern urban planning are studied, namely two of its urban planning concepts - “Plan for Sustainable Urban Mobility” and “Healthy City”, their theoretical development within the framework of adopted documents, agendas and programs for sustainable development. The goals of sustainable development are studied, the achievement of which is devoted to the documents “New Urban Development Program” and the declaration “Agenda for Sustainable Development for the period up to 2030”. It is concluded that sustainable development considers the integration of goals in territorial planning, environmental protection and public health, achieving social and gender equality, housing policy, and transport development as the basis for unified urban planning.

Determinants of the Blue Economy Growth in the Era of Sustainability: A Case Study of Indonesia

The Sustainable Development Goals (SDGs) represent a fundamental global commitment to addressing a wide range of socio-economic and environmental challenges. A key component of these goals is the commitment to ocean sustainability, encapsulated in the concept of the blue economy. The blue economy, emerging in an era characterized by intricate dynamics and openness to transformation, is influenced by various determinants. This study utilizes panel data analysis and the pooled least squares method to investigate the factors influencing the share of the blue economy in the archipelagic provinces of Indonesia from 2012 to 2021. With its vast maritime territory and numerous islands, Indonesia provides a highly relevant context for examining these dynamics. The empirical results indicate that information and communication technology (ICT), fisheries capture, and aquaculture production positively impact the blue economy’s share. Conversely, trade openness and electricity consumption exhibit a negative relationship with the blue economy’s share. Moreover, the analysis reveals that investment does not have a significant effect on the blue economy’s share. These findings underscore the critical importance of developing robust infrastructure and implementing stringent regulatory oversight on fishery product trade to enhance sustainable growth within the blue economy framework.

Does escaping the multidimensional poverty line improve family food security? Evidence from rural Vietnam

BackgroundReducing poverty and ensuring food security are critical sustainable development goals for countries like Vietnam. However, research investigating the relationship between these goals remains limited. This study seeks to explore the correlation between poverty alleviation and food security in Vietnam's rural areas, offering insights for policymakers to address both objectives simultaneously.MethodsWe applied Vietnam's multidimensional poverty standard to determine if households classified as poor in 2016 had managed to escape poverty by 2018. We utilized the Household Dietary Diversity Score (HDDS) and per capita food expenditure to examine the consumption patterns and food security levels within these households. Panel data encompassing 407 low-income households, gathered from the 2016 and 2018 Vietnam Access to Resources Household Survey (VARHS), constituted the dataset for this study.ResultsAmong the 407 impoverished households in 2016, 244 achieved poverty alleviation by 2018. Their average monthly per capita income increased by 416.9 thousand Vietnamese Dong (17.8 USD) during this period, with wage income contributing significantly, rising by approximately 315.9 thousand Vietnamese Dong (13.4 USD) per person. Regression analysis reveals that as households escaped the multidimensional poverty line, they diversified food consumption and increased per capita food expenditure. However, the household dietary diversity score only increased by 0.166. Meanwhile, monthly per capita food expenditure surged by 85,600 Vietnamese Dong (3.63 USD) per person.Conclusions and policy recommendationsImplementing poverty eradication policies could achieve both poverty reduction and improved food security. Policymakers should focus on creating stable wage employment for poor households, as this income source significantly aids in poverty alleviation.

A Localized Evaluation of Surface Water Quality Using GIS-Based Water Quality Index along Satpara Watershed Skardu Baltistan, Pakistan

Surface water quality in Skardu, Gilgit-Baltistan, Pakistan, is of immense importance because of the city’s dependence on these resources for domestic uses, agriculture, and drinking water. The water quality index (WQI) was integrated with the Geographic Information System (GIS) to spatially envision and examine water quality data to facilitate the identification of pollution hotspots, trend analysis, and knowledge-based decision-making for effective water resource management. This study aims to evaluate the physiochemical and bacteriological parameters of the Satpara watershed and to provide the spatial distribution of these parameters. This study endeavors to achieve Sustainable Development Goal 6 (SDG 6) by identifying localities with excellent and unfit water for drinking, sanitation, and hygiene. A total of fifty-one surface water samples were collected from various parts of the Satpara watershed during the fall season of 2023. Well-established laboratory techniques were used to investigate water for parameters like Electrical Conductivity (EC), pH, turbidity, total dissolved solids (TDSs), major cations (K+, Na+, Mg2+, Ca2+), major anions (Cl−, SO42−, NO3−, HCO3−), and bacteriological contaminants (E. coli). Spatial distribution maps of all these parameters were created using the Inverse Distance Weighted (IDW) technique in a GIS environment. A significant variation in the quality of water was observed along the study area. The level of Escherichia coli (E. coli) contamination is above the permissible limit at various locations along the watershed, making water unsafe for direct human consumption in these areas. Some regions showed low TDS values, which could adversely affect human health and agricultural yield. From the WQI valuation, 58.82% of the collected samples were “Poor”, 31.8% were “Very poor” and 9.8% were found to be “Unfit for drinking”. The research findings emphasize the pressing need for consistent monitoring and adoption of water management strategies in Skardu City to warrant sustainable soil and water use. The spatial maps generated for various parameters and the water quality index WQI offer critical insights for targeted intercessions.

Sustainable Development of Urban Agglomerations around Lakes in China: Achieving SDGs by Regulating Ecosystem Service Supply and Demand through New-type Urbanization

The mechanism through which New-type Urbanization (NU), as a new direction in urban development, influences the Sustainable Development Goals (SDGs) by regulating the Ecosystem Services (ES) supply and demand remains to be determined. It is particularly true in urban agglomerations around lakes, characterized by severe human-land conflicts, where socio-economic development is closely linked to water. We selected China’s urban agglomerations around lakes as the study area. We investigated the spatio-temporal heterogeneity of NU and the Ecosystem Service Supply and Demand Ratio (ESDR) from 2000 to 2018. We specifically focused on the dynamic trends of SDG 2 (Zero Hunger), SDG 13 (Climate Action), and SDG 15 (Life on Land). Furthermore, we utilized Structural Equation Modeling (SEM) to reveal the direct effects and indirect pathways through which NU influences the achievement of SDGs in the study area, emphasizing the differentiated performance of this mechanism across various urban agglomerations around Lakes. The results indicated that the ESDR has a particularly evident downward trend in urban centers along lakes, rivers, and road networks in spatial terms. The level of NU in urban agglomerations around lakes has increased by about 50% overall. It geographically exhibits three main spatial distribution patterns: “diffusion along the lake,” “homogeneous distribution,” and “diffusion along the river.” NU directly inhibits the achievement of SDGs but indirectly promotes the improvement of ESDR for food production and soil conservation, thereby indirectly facilitating the achievement of SDG 2 and SDG 15, but has an inhibitory effect on SDG 13. By regulating ESDR, NU is most effective in achieving SDGs in the urban agglomerations around Poyang Lake and Dongting Lake but has a significant inhibitory effect on the urban agglomeration around Hongze Lake. This research provides quantitative evidence for the urban planning shift, terrestrial ecosystem function restoration, and SDGs achievement in urban agglomerations around lakes. It also offers new insights from China for the sustainable urban construction of urban agglomerations around lakes worldwide.

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.

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.

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.

In 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 is needed most, the COVID-19 pandemic revealed a shifting landscape of donor agencies that struggle with basic functions, such as cross-national coordination. While multilaterals are uniquely positioned to transcend national priorities and respond to pandemics, functionally we find official development assistance (ODA) from these entities may increasingly mimic the attributes of bilateral aid. We explore three important, but not comprehensive, attributes of aid leading up to and during the COVID-19 pandemic: (1) earmarking, (2) donor concentration and (3) aid modality. We examine ODA disbursements over time in 2020 constant prices from 2010 to 2021 and plot share of inflow that is earmarked against each United Nations multilateral against their average annual financing volume. We then assess market diversity with two measures: the Shannon-Weiner Function and Gini-Simpson Index. Finally, we examine financing vehicles used to disburse and look at 'grant share' of total ODA from all formal donors over time. We find that while the absolute number of formal multilateral actors and market diversity have been increasing since 2011, there has been a concurrent market consolidation led by the World Bank Group at 37% of market share in 2021. This coincides with an increasing prevalence of earmarking of aid inflows to the multilateral system and, unique to multilaterals but concerning given increasing debt risk, a rise in loan-based ODA disbursements. In theory, this consolidation may streamline revenue pooling and allow for a more collective approach to mitigating pandemic risk but, paired with increased earmarking, has the potential to sideline both collective goals (eg, the Sustainable Development Goals) and counties' core mandates (such as the pursuit of universal health coverage).

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.

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

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