Finding common development paths in voluntary national reviews reporting on sustainable development goals using aspect-based sentiment analysis.

Voluntary National Reviews (VNRs) provide a platform for participating countries to share their experiences, failures, and successes in achieving the United Nations (UN) Sustainable Development Goals (SDGs). The objective of this study is to gain a deeper understanding of the narrative elements, particularly the sentiment, in VNRs in order to more effectively assess and support global SDG progress. A total of 232 VNRs from 166 countries are analyzed using Aspect-Based Sentiment Analysis (ABSA) to extract each country's sentiment toward the 17 SDGs. The sentiment scores are then compared to the corresponding official UN SDG scores, and countries are grouped by their sentiment toward all 17 SDGs to identify potential common development pathways. The analysis uncovers a notable positive correlation between the reported sentiment and official SDG scores for SDG 2 (zero hunger) and SDG 11 (sustainable cities and communities), and a negative correlation for SDG 5 (gender equality). Conversely, this relationship is not significant for the majority of SDGs, suggesting that VNR narratives may not directly reflect actual progress. A t-distributed stochastic neighbor embedding (t-SNE) approach indicates a consistent sentiment score among developed countries. In contrast, there are greater differences in reporting sentiment among Emerging Markets, Frontier Markets, and Least Developed Countries (LDCs), where there is greater dispersion (especially among LDCs) and sentiment in reporting on SDG progress that appears to have changed from one reporting year to another. These findings highlight the need to interpret VNRs in the context of each country's unique situation and challenges specific to each country.

Digital innovations for monitoring sustainability in food systems.

Monitoring systems that incentivize, track and verify compliance with social and environmental standards are widespread in food systems. In particular, digital monitoring approaches using remote sensing, machine learning, big data, smartphones, platforms and blockchain are proliferating. The increasing use and availability of these technologies put us at a critical juncture to leverage these innovations for enhanced transparency, fairness and open access, rather than descending into a dystopian landscape of digital surveillance and division perpetuated by a powerful few. Here we discuss opportunities and risks, and highlight research gaps linked to the ongoing digitalization of monitoring approaches.

[A brief overview of the 2030 Agenda, noncommunicable diseases and the challenges of leaving no one behind]. / Um breve panorama sobre a Agenda 2030, as doenças crônicas não transmissíveis e os desafios de não deixar ninguém para trás.

This essay provides a theoretical reflection on the challenges of meeting the Sustainable Development Goals of the 2030 Agenda, considering its motto of "leave no one behind". To exemplify these challenges, we discuss noncommunicable diseases (NCDs), one of the main issues on the global health agenda before the COVID-19 pandemic, and the political and economic dimensions that determine their presence and global spread. After a brief overview of NCDs, the text seeks to answer three questions: In "Leaving no one behind?" we list some themes to reflect on how and who has historically been left behind, delving a little deeper into the examples in "Who has been left behind in the world?" and "Who has been left behind in Brazil?". Using data from the most relevant and recent literature on the subject, we discuss the challenges and some ways to leave no one behind in a world where the mean of production has historically made some social groups vulnerable, especially black and Indigenous populations. In our final remarks, we draw inspiration from the Sankofa ideogram to remember that the answers to the sustainable development we seek may lie somewhere in our most primordial and traditional past. And that it is necessary to invest on building new paths from different worldviews and approaches to epistemology on the other side of the abyssal line.

Este ensaio traz uma reflexão teórica sobre os desafios para alcançar as metas dos Objetivos do Desenvolvimento Sustentável da Agenda 2030, considerando seu lema de "não deixar ninguém para trás". Para exemplificar esses desafios, apresenta-se como pano de fundo as doenças crônicas não transmissíveis (DCNT), um dos principais temas da agenda da saúde global antes da pandemia de COVID-19, discutindo as dimensões políticas e econômicas que determinam sua presença e avanço global. Após um breve panorama sobre as DCNT, busca-se responder a três perguntas: em "Sem deixar ninguém para trás?", elencamos alguns temas para refletir sobre como e quem tem ficado historicamente para trás, aprofundando um pouco mais os exemplos ao adentrar em "Quem tem ficado para trás no mundo?" e "Quem tem ficado para trás no Brasil?". A partir de dados da literatura mais relevante e recente sobre o tema, apresentamos os desafios e alguns caminhos para não deixar ninguém para trás em um mundo em que o modo de produção tem historicamente vulnerabilizado alguns grupos sociais, com destaque para a população negra e a população indígena. Trazemos nas considerações finais a inspiração do ideograma Sankofa para lembrar que as respostas para o desenvolvimento sustentável que buscamos podem estar em algum lugar de nosso passado mais originário e tradicional, e que é preciso apostar na construção de novos caminhos a partir de outras epistemologias e cosmovisões presentes do outro lado da linha abissal.

Este ensayo aporta una reflexión teórica acerca de los desafíos para lograr las metas de los Objetivos de Desarrollo Sostenible de la Agenda 2030, teniendo en cuenta su lema "no dejar a nadie atrás". Para ejemplificar estos desafíos, tomamos como telón de fondo las enfermedades crónicas no transmisibles (ECNT), uno de los principales temas de la agenda de salud global antes de la pandemia de COVID-19, discutiendo las dimensiones políticas y económicas que determinan su presencia y avance global. Después de un breve panorama de las ECNT, el texto busca responder tres preguntas: En "¿Sin dejar a nadie atrás?" enumeramos algunos temas para reflexionar sobre cómo y quién ha quedado históricamente atrás, profundizando un poco más los ejemplos al centrarse en "¿Quién ha quedado atrás en el mundo?" y "¿Quién ha quedado atrás en Brasil?". Con base en datos de la literatura más relevante y reciente sobre el tema, presentamos los desafíos y algunas maneras de no dejar a nadie atrás en un mundo en el que el modo de producción ha vulnerabilizado históricamente a algunos grupos sociales, con énfasis en la población negra y en la población indígena. En nuestras consideraciones finales, nos inspiramos en el ideograma de Sankofa para recordar que las respuestas al desarrollo sostenible que buscamos pueden estar en algún lugar de nuestro pasado más original y tradicional. Y es necesario apostar por la construcción de nuevos caminos basados en otras epistemologías y cosmovisiones presentes al otro lado de la línea abisal.

Sustainable development Universities-Opportunities & challenges on the road to society 5.0 from the key stakeholder perspective.

There has been a growing push on universities worldwide to demonstrate how their work contributes to the indicators of sustainable development goals. In addition to producing a foundation of human resources to assist the change toward greater sustainability, universities may have a significant influence on individual behaviour. The article's goal is to highlight the potential and difficulties that the surveyed universities face as they work to construct a 5.0 society and pursue sustainable development. It does this by analysing students' perspectives from these universities in ten different nations. A Computer-Assisted Web Interviewing (CAWI) questionnaire was used for the study. The hypotheses about the relationship between the university's legal status and form of ownership and the level of students' awareness of sustainable development were verified. The findings indicated that by promoting sustainable development, the universities under investigation had the opportunity to garner interest and involve students. Nevertheless, this calls for funding, better educational initiatives, and a well-rounded strategy. Furthermore, encouraging a sustainable culture within the university ecosystem and openly sharing these efforts with students and the general public will make universities more visible, respected, and driven, boosting involvement and engagement in sustainability initiatives on campus.

Land suitability analysis in monocentric post-socialist city: Case of Ulaanbaatar, Mongolia.

Urban expansion has been rapidly increasing and is projected to be tripled in 2030 in worldwide. The impact of urbanization has adverse effects on the environment and economic development. Residential lands consist of almost one-third of the urban area and heavily affect the city's inhabitants. The capital of Mongolia, Ulaanbaatar, has been significantly expanded, particularly in the urban periphery where poor living conditions and a lack of essential urban services were identified. The paper aims to conduct a suitability analysis of residential areas in Ulaanbaatar city based on three main categories (livability, affordability, and accessibility) of fifteen criteria using the fuzzy logic. Through the study, we have identified some potential suitable residential areas for further development, such as apartment residential area located in the southern part of the city and four low-rise ger areas were distributed along major transport corridors. Moreover, the results indicated that the spatial structure of the whole town might be in transition to a polycentric pattern. However, a concentric ring pattern in the 'city's periphery displayed a concerning uncontrolled ger area expansion, which may increase low living conditions in the area. This study recommends better urban sprawl control policies and more property market investment in the ger area to ensure sustainable development goals in Ulaanbaatar.

Spatial evolution, influencing factors and spillover effects of logistics resilience in the Yangtze River Economic Belt.

Logistics resilience is a significant representation of sustainable development ability and a necessary support for high-quality economic development. In order to explore the influencing factors and realization mechanism of the improvement of logistics resilience of the Yangtze River Economic Belt and the high-quality and sustainable development of the economy, this paper comprehensively considers factors of the supply and demand relationship of the logistics market, industrial structure and ecological environment, and evaluates the urban logistics resilience of the Yangtze River Economic Belt by using POI data and statistical data. Combined with the spatial Durbin model, the influencing factors and spatial spillover effects of inter-city logistics resilience were revealed. This study found that the urban logistics resilience in the lower reaches of the Yangtze River has been high. Except Chongqing and Shanghai, the COVID-19 epidemic happened in 2020 led to a significant decrease in logistics resilience. In the meanwhile, every 1% increase in the logistics resilience of the city will promote the logistics resilience of the adjacent cities by 0.145%. Economic condition and urban development potential have positive effects on logistics resilience of the city and its adjacent cities. The economic condition has a direct effect coefficient of 0.166 and an indirect effect coefficient of 0.181, The direct and indirect effects of urban development potential are significantly positive, and the coefficients are 0.001 and 0.006, respectively. The level of information, government support and ability of technological innovation are helpful for the improvement of urban logistics resilience while hindering the enhancement of logistics resilience in adjacent cities. The research area can be extended in the future and more influencing factors can be considered in the future.

Post-COVID-19 health inequalities: Estimates of the potential loss in the evolution of the health-related SDGs indicators.

This study delves into the global evolution of 43 Sustainable Development Goals (SDG) indicators, spanning 7 major health themes across 185 countries to evaluate the potential progress loss due to the COVID-19 pandemic. Both the cross-country and temporal variability of the dataset are employed to estimate an empirical model based on an extended version of the Preston curve, which links well-being to income levels and other key socioeconomic health determinants. The approach reveals significant global evolution trends operating in each SDG indicator assessed. We extrapolate the model yearly between 2020 and 2030 using the IMF's pre-COVID-19 economic growth projections to show how each country in the dataset are expected to evolve in these health topics throughout the decade, assuming no other external shocks. The results of this baseline scenario are contrasted with a post-COVID-19 scenario, where most of the pandemic costs were already known. The study reveals that economic growth losses are, on average, estimated as 42% and 28% for low- and lower middle-income countries, and of 15% and 7% in high- and upper middle-income countries, respectively, according to the IMF's projections. These disproportional figures are shown to exacerbate global health inequalities revealed by the curves. The expected progress loss in infectious diseases in low-income countries, for instance, is an average of 34%, against a mean of 6% in high-income countries. The theme of Infectious diseases is followed by injuries and violence; maternal and reproductive health; health systems coverage; and neonatal and infant health as those with worse performance. Low-income countries can expect an average progress loss of 16% across all health indicators assessed, whereas in high-income countries the estimated loss is as low as 3%. The disparity across countries is even more pronounced, with cases where the estimated progress loss is as high as nine times worse than the average loss of 8%. Conversely, countries with greater fiscal capacity are likely to fare much better under the circumstances, despite their worse death count, in many cases. Overall, these findings support the critical importance of integrating the fight against inequalities into the global development agendas.

Digital economy, technological innovation, and sustainable development.

This paper examines the impact of the digital economy on sustainable development, using panel data from cities at the prefecture level and above in China from 2011 to 2019. The results indicate: (1) The digital economy is conducive to boosting growth, increasing employment, reducing energy consumption, and cutting emissions, thereby promoting sustainable development. These findings prove robust. (2) Mechanism test outcomes reveal that, from the perspective of technological innovation, the digital economy can promote sustainable development through increasing R&D input and enhancing innovation output. (3) An extended analysis of the risk of a digital "divide" demonstrates that "dividend" of the digital economy is primarily manifests in spurring economic growth, enhancing energy efficiency, and strengthening environmental protection in lagging regions, while the digital "divide" effect is manifested in the stronger employment stimulating effect of developed regions versus backward areas. The results of this study not only enrich the relevant research system, but also provide empirical evidence to support accelerating digital transformation, strengthening technological innovation governance, and advancing sustainable development.

Examining public private partnership investment in energy towards achieving sustainable development goal 7 for ASEAN region.

The gradual progress in aligning financial flows with the adoption of clean technologies reveals a persistent funding gap, signaling a global misallocation of capital. Addressing this challenge necessitates political leadership and robust policies to counteract the insecurities impeding the redirection of financial flows. This study investigates into the impact of energy-related public-private partnership investments (PPPIE) and macro-environmental variables on the attainment of Sustainable Development Goal 7 (SDG7) across Association of Southeast Asian Nations (ASEAN) member countries from 1999 to 2021. Employing the Dynamac command technique, we conduct autoregressive distribution lag analysis and the Bounds Cointegration Test to evaluate ASEAN's efforts in achieving SDG7. Results indicate that a ten-year exogenous shock to the GDP growth rate initially causes a temporary decline in both GDP and PPPIE, albeit not statistically significant. However, in the long run, the shock becomes statistically significant, correlating with a negative decline in the GDP growth rate. This underscores the negative impact of external factors like the COVID-19 pandemic on the economic growth of ASEAN member countries. Specifically, a percentage increase in PPPIE leads to an 8.3% reduction in the GDP growth rate, revealing a detrimental and unsustainable impact on the economy. This signifies that energy investments in the ASEAN region, are predominantly unsustainable and adversely impact economic growth. Moreover, these energy investments contribute to a significant 52.6% increase in greenhouse gas emissions, indicating a substantial setback in the region's progress towards meeting SDG7's clean energy objectives by 2030. This suggests the present state of PPPIE does not align with sustainable clean energy goals of the region. Therefore, recommendations should include diversifying energy sources and investment strategies to enhance sustainable clean energy. Also, policymakers and researchers should reassess the terms and conditions of PPPIE, refining frameworks for private sector involvement to align with long-term economic sustainability goals.

Performance evaluation of inclusive green growth in China: Dynamic evolution, regional differences, and spatial correlation.

Inclusive green growth is an essential way to achieve sustainable development. We construct an index system for inclusive green growth performance levels (IGGPLs) in Chinese cities and measure the IGGPLs of 271 cities in the Chinese mainland from 2006 to 2020 based on the vertical and horizontal scatter degree method. We employ the Kernel density method, Dagum Gini coefficient method, Moran index method, and Markov chain method to investigate distribution evolution, regional disparities, spatial correlations, and state transition of IGGPLs at the city level, respectively. The research results reveal that: (1) China's IGGPL has improved rapidly, but regions with lower IGGPLs still predominate. The eastern region is far ahead, followed by the northeastern region, with the western and center regions trailing; (2) The development trends of IGGPLs in the eastern and central regions are positive, with no signs of polarization. Although polarizations are obvious in the western and northeastern but have been improved significantly; (3) Regional differences exist, but are gradually narrowing over time. By decomposing regional differences, we find that regional differences are the main cause of total differences; (4) The IGGPLs of cities have significant spatial correlations, presenting the spatial agglomeration characteristics of "high-high" and "low-low".

The role of universities in accelerating the sustainable development goals in Europe.

The process of implementation of the UN Sustainable Development Goals (SDGs) which were approved by the UN General Assembly in 2015 has not been simple, being influenced by variety of social, economic, and logistical problems. It has also been negatively affected by the COVID-19 pandemic. There are to date no specific studies aimed at assessing the extent to which higher universities institutions in Europe are active in the SDGs implementation process. Departing from this research need, this paper reports on a study aimed at examining the current degree of engagement of European universities in the implementing the SDGs. By using a multi-methods approach, which entails a review of existing documents, a survey involving participants from 22 countries and case studies, the paper maps, documents and disseminates examples of what European universities are doing to implement the SDGs, the challenges they face, and the solutions being deployed to overcome them.

The influence of ESG practices on domestic value-added to exports during the period of technological change.

Sustainable development and raising the domestic value-added rate of exports (DVARE) have become essential priorities in the pursuit of high-quality economic growth. An econometric spatial model is developed in this research using data on Chinese enterprises spanning 2008 to 2019. According to a study, exports' domestic value-added rate (DVAR) can be successfully increased using environmental, social, and governance (ESG) practices. Spatial spillover analysis demonstrates that adopting ESG practices boosts export DVAR both within and between regions. According to heterogeneity analysis, the sample's overall increase in DVARE as a result of ESG practices is mostly attributable to the mix and processing trade organizations, the eastern area, and large firms. An examination of the underlying mechanisms shows that businesses that implement advanced technologies are able to reinforce the favorable impact of ESG practices on DVARE. This article gives evidence from real-world studies that show how ESG practices help boost Chinese exports and advance sustainable development. The findings hold significant implications for other developing nations as they make the transition towards a pattern of economic growth.

Crop yields fail to rise in smallholder farming systems in sub-Saharan Africa.

Drawing on a harmonized longitudinal dataset covering more than 55,000 smallholder farms in six African countries, we analyze changes in crop productivity from 2008 to 2019. Because smallholder farmers represent a significant fraction of the world's poorest people, agricultural productivity in this context matters for poverty reduction and for the broader achievement of the UN Sustainable Development Goals. Our analysis measures productivity trends for nationally representative samples of smallholder crop farmers, using detailed data on agricultural inputs and outputs which we integrate with detailed data on local weather and environmental conditions. In spite of government commitments and international efforts to strengthen African agriculture, we find no evidence that smallholder crop productivity improved over this 12-y period. Our preferred statistical specification of total factor productivity (TFP) suggests an overall decline in productivity of -3.5% per year. Various other models we test also find declining productivity in the overall sample, and none of them finds productivity growth. However, the different countries in our sample experienced varying trends, with some instances of growth in some regions. The results suggest that major challenges remain for agricultural development in sub-Saharan Africa. They complement previous analyses that relied primarily on aggregate national statistics to measure agricultural productivity, rather than detailed microdata.

Evolution of the spatiotemporal pattern of China's grain production in the past 20 years and its driving mechanism.

Food security is a goal and means of global sustainable development, and an important component of China's national security. Based on grain production data from 2000 to 2020, 31 provinces (cities, autonomous regions) in China were used as research units to analyze the spatiotemporal differences and driving forces of grain production in China using a combination of local correlation index, center of gravity transfer model, and geographic detector. The results as follows, ① During the research period, China's total grain production showed a decrease followed by an increase, and the yield per unit area of grain showed an increasing trend. Corn has become the "largest staple food" in China; ② During the research period, the focus of China's grain production continued to shift northward, with Heilongjiang, Henan and Shandong provinces becoming the main grain production areas, with Henan being the province where China's grain production center was located. Among the factors affecting grain yield, the effective irrigation area (0.971) has the strongest explanatory power. Finally, countermeasures and suggestions were proposed from five aspects, stabilizing grain production, reducing grain inventory pressure, implementing regional grain security responsibilities, improving grain circulation efficiency, promoting high-quality grain engineering construction, adjusting grain production structure, strictly implementing farmland protection responsibilities, scientifically applying pesticides, fertilizers and other production materials, emphasizing agricultural infrastructure construction and stabilizing the number of agricultural labor force.