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Empirical research has aimed to substantiate the institution–food security nexus. However, institutional literature has largely overlooked the relationship between institutions and the sustainable development goal of zero hunger (SDG2). SDG2 is a multidimensional goal that extends beyond food security and requires comprehensive investigation. Therefore, this study explored the role of institutions in promoting SDG2 achievement using a panel dataset spanning 108 countries from 2000 to 2019. The institutional impact was evaluated using worldwide governance indicators, and the International Country Risk Guide (ICRG)’s political risk ratings. Simultaneous equation modeling was used as the estimation technique. According to the results, institutions showed a positive and highly significant association with SDG2 performance. All the dimensions of good governance promoted SDG2 performance. Except for maintaining law and order, all other dimensions of political risk indicators were found to improve SDG2 performance. This study also discovered significant evidence that voice and accountability, as well as the settlement and the prevention of conflicts, had the most substantial influences on SDG2 achievement. In developing countries, improving both the quality of governance and political stability had a comparatively higher impact on SDG2 performance than in developed countries. Furthermore, institutions showed a significant mediating impact on SDG2 performance via agricultural productivity and economic growth. Based on these findings, this study concluded that the pursuit of good governance and inclusive institutions could be instrumental in achieving SDG2.

The authors would like to make the following correction to the published paper [...]

Bottom-up CH4 emission inventories, which have been developed from statistical analyses of activity data and country specific emission factors (EFs), have high uncertainty in terms of the estimations, according to results from top-down inverse model studies. This study aimed to determine the causes of overestimation in CH4 bottom-up emission inventories across China by applying parameter variability uncertainty analysis to three sets of CH4 emission inventories titled PENG, GAINS, and EDGAR. The top three major sources of CH4 emissions in China during the years 1990–2010, namely, coal mining, livestock, and rice cultivation, were selected for the investigation. The results of this study confirm the concerns raised by inverse modeling results in which we found significantly higher bottom-up emissions for the rice cultivation and coal mining sectors. The largest uncertainties were detected in the rice cultivation estimates and were caused by variations in the proportions of rice cultivation ecosystems and EFs; specifically, higher rates for both parameters were used in EDGAR. The coal mining sector was associated with the second highest level of uncertainty, and this was caused by variations in mining types and EFs, for which rather consistent parameters were used in EDGAR and GAINS, but values were slightly higher than those used in PENG. Insignificant differences were detected among the three sets of inventories for the livestock sector.

In recent years, threatened deltas have emerged as a significant matter of concern in numerous fields. While Earth System science and social-ecological systems focus on topics like global water circulation and sediment transport, social scientists tend to consider the problems facing particular deltas in the context of modernization or (post)-colonial development. There is nevertheless broad agreement that the delta crisis raises fundamental questions about modern approaches to infrastructure planning. Thus, environmental and sustainability scientists have come to recognize “the social” as integral to the delta crisis. This understanding of “the social,” however, takes two quite different forms. As an object of social-ecological systems research, the social is modeled alongside ecological systems. However, as a context for scientific interventions in environmental policy it appears as an obstacle to achieving sustainable delta policies. Based on a careful examination of Earth System science and associated discourses, we show that this instability of “the social”, combined with the ambition to integrate ‘it’ in an encompassing system poses serious problems for interdisciplinary delta research and for more imaginative and inclusive collaborative efforts to tackle the delta crisis—including, but going considerably beyond, policy and governance. Rather than integrative systems, we argue that the situation requires the creation of sophisticated conjunctions of epistemologies, methods, and practices. Such conjunctions, we suggest, pave the way for a cosmo-ecological approach, where social, environmental and sustainability sciences work together with designers, urban planners, policy-makers, and affected or concerned citizens on solving multi-scalar delta problems by working across their differences.

The purpose of this study was to investigate changes in the levels of myokines in post- menopausal obese females (PMOF) after regular aerobic and resistance training. A community-based, randomized controlled trial study of 41 PMOF from Buk-gu Community Center in Chuncheon, Gangwon-do, Republic of Korea, was conducted from November 2017 through October 2018. These participants were randomly assigned to an aerobic exercise group (n = 21) or a resistance exercise group (n = 20). The 12-week exercise program was conducted three days a week (Monday, Wednesday, and Friday). Body composition, physical fitness, and myokines were measured at baseline, 6 weeks, and 12 weeks. The two-way within-factor ANOVA revealed group × time interaction for body mass index (BMI, p < 0.05). In the resistance exercise group, muscle endurance (p < 0.001), power (p < 0.01), and agility (p < 0.001) improved significantly at 12 weeks compared to baseline and 6 weeks. In the aerobic exercise group, muscle strength (p < 0.05), flexibility (p < 0.05), muscle endurance (p < 0.001), and agility (p < 0.001) were greater at 12 weeks compared to baseline and 6 weeks. The levels of IL-6 (p < 0.001), IL-15 (p < 0.001), and BDNF (p < 0.001) were greater at 12 weeks compared to baseline and 6 weeks in both exercise groups. Aerobic exercise training and resistance exercise training changed the levels of myokines and improved body composition and physical fitness in PMOF. These findings provide preliminary evidence that PMOF need to exercise or perform physical activity to improve or maintain their levels of myokines and physical fitness.

This paper addresses open data, open governance, and disruptive/emerging technologies from the perspectives of disaster risk reduction (DRR). With an in-depth literature review of open governance, the paper identifies five principles for open data adopted in the disaster risk reduction field: (1) open by default, (2) accessible, licensed and documented, (3) co-created, (4) locally owned, and (5) communicated in ways that meet the needs of diverse users. The paper also analyzes the evolution of emerging technologies and their application in Japan. The four-phased evolution in the disaster risk reduction is mentioned as DRR 1.0 (Isewan typhoon, 1959), DRR 2.0 (the Great Hanshin Awaji Earthquake, 1995), DRR 3.0 (the Great East Japan Earthquake and Tsunami: GEJE, 2011) and DRR 4.0 (post GEJE). After the GEJE of 2011, different initiatives have emerged in open data, as well as collaboration/partnership with tech firms for emerging technologies in DRR. This paper analyzes the lessons from the July 2021 landslide in Atami, and draws some lessons based on the above-mentioned five principles. Some of the key lessons for open data movement include characterizing open and usable data, local governance systems, co-creating to co-delivering solutions, data democratization, and interpreting de-segregated data with community engagement. These lessons are useful for outside Japan in terms of data licensing, adaptive governance, stakeholder usage, and community engagement. However, as governance systems are rooted in local decision-making and cultural contexts, some of these lessons need to be customized based on the local conditions. Open governance is still an evolving culture in many countries, and open data is considered as an important tool for that. While there is a trend to develop open data for geo-spatial information, it emerged from the discussion in the paper that it is important to have customized open data for people, wellbeing, health care, and for keeping the balance of data privacy. The evolution of emerging technologies and their usage is proceeding at a higher speed than ever, while the governance system employed to support and use emerging technologies needs time to change and adapt. Therefore, it is very important to properly synchronize and customize open data, open governance and emerging/disruptive technologies for their effective use in disaster risk reduction.

Gunungkidul district, situated in the Karst Mountain area, represents one of the more poverty-stricken regions in Indonesia. The arid nature of this area, coupled with the scarcity of surface water, poses significant challenges to economic development endeavors, particularly in agriculture and animal husbandry. The vulnerability of the natural environment, unfavorable agro-climatic conditions, and unsuitable geographical features further hamper agricultural economic activities in the Karst Mountains of Gunungkidul. This condition causes dryland farm households to be vulnerable to food insecurity. Therefore, this study attempts to investigate dryland farm households’ food security in the Karst Mountain area and examine the associations of food insecurity using the share of household expenditure on food (SEF), energy intake levels, protein intake levels, and food security classification. Food security classification is specifically considered by two indicators, food expenditure proportion, and energy intake levels. The result showed that the number of family laborers, farming experience, household income, farm size, and production negatively impact the share of household expenditure on food. The average household energy consumption is sufficient, but the average protein consumption is less than others. Household food security in the Girisubo sub-district is still low since most households (70.09%) are undernourished, food vulnerable, and food insecure. Dryland farmer households need to get assistance from the local government or the private sector to grasp information about good expenditure management and food nutrition fulfillment in order to improve food security.

Historically, the Nile, a well-known transboundary river, has been a major contributor to Egyptian economic growth in many ways but has suffered from sediment accumulation. Since anthropocentric activities on the Nile delta heavily rely on nutrient-rich sediment from the Ethiopian highland, sediment control schemes in the Aswan High Dam not only prolong the life of the dam but also increase the economic value of the watershed. The purpose of our study is to use an economic optimization approach to evaluate the feasibility of sustainable management of the Nile concerning climate change. The model considers significant anthropocentric effects on the reservoir as well as the impacts of climate change on the entire watershed. Moreover, the social planner’s model is developed to unravel somewhat numerous externalities. The results indicate that among the various technically feasible sediment removal schemes, the hydro-suction sediment removal system (HSRS) is the only desirable solution under severe climate change. In order to control the negative externalities in the watershed, the in-stream flow control should be applied. By implementing appropriate management schemes simultaneously, the life of the AHD can be extended, and the total economic benefits of the entire watershed can be maximized to approximately $272 billion USD.