Key Drivers Research Articles

The Food and Nutrition Policy Environment and Drivers of Changes in Key Food System Outcomes in Ethiopia

Background: There seems to be huge gap in our understanding of the changes over time in food system outcomes and their drivers in Ethiopia. The main aim of this study is to examine the food and nutrition programs and policies and their corresponding key food system outcomes in Ethiopia. Methods: The bulk of the information was generated using scooping review of relevant articles and policy documents. About 67 full text records were used for the review. In addition, data were collected using Key Informant Interview (KIIs) purposefully selected from sectoral offices from two major cities (Hawassa and Dire Dawa), of two regions. The analytical framework used in this paper was adopted from previous studies on related subjects and addressed three key components of food system: review of food and nutrition policy environment, key food system outcomes and key drivers. Results: Despite improvement in some food system outcomes (such as child nutrition and survival), food security crises in Ethiopia are still becoming more frequent and more acute, affecting the poor disproportionately. Most food and nutrition policies are constrained by lack of implementation capacities. Indicating the presence of various barriers (socioeconomic, demographic, and environmental). Poor human capital (such as knowledge and attitude), food taboos and tradition, cultural practices such as gender-based norms, poor education, poor delivery/supply chain, demographic pressure and other environmental drivers play critical role in food and nutrition security of most vulnerable population groups in Ethiopia. Conclusion and implications: Given the challenges confronting Ethiopia today, it is imperative to assume that meeting Sustainable Development Goal (SDG) 2 (i.e., attaining zero hunger by 2030) becomes challenging. This calls for continuous capacity building to help implement, learn, and adapt a systems approach; and access to education and skill training on food production and consumption and narrowing down the gender differential in food access and consumption.

The Food and Nutrition Policy Environment and Drivers of Changes in Key Food System Outcomes in Ethiopia

Background: There seems to be huge gap in our understanding of the changes over time in food system outcomes and their drivers in Ethiopia. The main aim of this study is to examine the food and nutrition programs and policies and their corresponding key food system outcomes in Ethiopia. Methods: The bulk of the information was generated using scooping review of relevant articles and policy documents. About 67 full text records were used for the review. In addition, data were collected using Key Informant Interview (KIIs) purposefully selected from sectoral offices from two major cities (Hawassa and Dire Dawa), of two regions. The analytical framework used in this paper was adopted from previous studies on related subjects and addressed three key components of food system: review of food and nutrition policy environment, key food system outcomes and key drivers. Results: Despite improvement in some food system outcomes (such as child nutrition and survival), food security crises in Ethiopia are still becoming more frequent and more acute, affecting the poor disproportionately. Most food and nutrition policies are constrained by lack of implementation capacities. Indicating the presence of various barriers (socioeconomic, demographic, and environmental). Poor human capital (such as knowledge and attitude), food taboos and tradition, cultural practices such as gender-based norms, poor education, poor delivery/supply chain, demographic pressure and other environmental drivers play critical role in food and nutrition security of most vulnerable population groups in Ethiopia. Conclusion and implications: Given the challenges confronting Ethiopia today, it is imperative to assume that meeting Sustainable Development Goal (SDG) 2 (i.e., attaining zero hunger by 2030) becomes challenging. This calls for continuous capacity building to help implement, learn, and adapt a systems approach; and access to education and skill training on food production and consumption and narrowing down the gender differential in food access and consumption.

Green hydrogen prospects in Peninsular Malaysia: a techno-economic analysis via Monte Carlo simulations

According to Malaysia's National Energy Transition Roadmap, hydrogen is a critical component of the country's energy transition. However, there is a scarcity of hydrogen studies for Peninsular Malaysian states, which limits discussions on green hydrogen production. This study employs a Monte Carlo model to assess the economic and technical factors influencing the success of green hydrogen in Peninsular Malaysia. The study focuses on three target years: 2023, 2030, and 2050, representing various stages of technological development and market adoption. The levelized cost of hydrogen (LCOH) of a 1-MW Proton Exchange Membrane (PEM) electrolyzer system ranges from $5.39 to $10.97 per kg in 2023, highlighting early-stage challenges and uncertainties. A 6-MW PEM electrolyzer system could achieve an LCOH of $3.50 to $4.72 per kg by 2030, indicating better prospects. Because of technological advancements and cost reductions, a 20-MW PEM electrolyzer system could achieve an LCOH of $3.12 to $3.64 per kg in 2050. The findings indicate that the northern regions of Peninsular Malaysia have consistently low LCOH values due to favorable geographical conditions. Due to minor variations in solar capacity factors, uncertainty distributions in LCOH remain stable across different regions. Some states may face increased uncertainty, emphasizing the need for additional policy support mechanisms to mitigate risks associated with green hydrogen investments. The sensitivity analysis shows that key cost drivers are shifting, with early-stage electrolyzer investments dominating in 2023 and electricity prices becoming more important in 2030 and 2050. Future research could focus on optimizing green hydrogen systems for areas with underdeveloped green hydrogen industries. This study contributes to informed discussions about green hydrogen production by emphasizing the importance of tailored strategies that consider local conditions and highlighting the role of Peninsular Malaysia in the energy transition.

Spatiotemporal evolution and driving factors of ecosystem service bundle based on multi-scenario simulation in Beibu Gulf urban agglomeration, China.

Rapid urbanization is profoundly impacting the ecological environment and landscape patterns, leading to a decline in ecosystem services (ES) and posing threats to both ecological security and human well-being. This study aimed to identify the spatial and temporal patterns of ecosystem service bundles (ESB) in the Beibu Gulf urban agglomeration from 2000 to 2030, analyze the trajectory of ESB evolution, and elucidate the drivers behind ESB formation and evolution. We utilized the Patch-generating Land Use Simulation (PLUS) model to establish baseline (BLS), carbon sequestration priority (CPS), and urbanization priority (UPS) scenarios for simulating land use patterns in 2030. Following the assessment of ecosystem service values (ESV) through the equivalent factor method, we identified the spatiotemporal distribution patterns of ESB using the K-means clustering algorithm. By employing stability mapping and landscape indices, we identified and analyzed various types of ESB evolutionary trajectories. Redundancy analysis (RDA) was employed to pinpoint the drivers of ESB formation and evolution. The results revealed that from 2000 to 2030, land use changes were primarily observed in cropland, forestland, and construction land. Between 2000 and 2020, 92.88% of the region did not experience shifts in ESB types. In UPS, the ESB pattern in the study area underwent significant changes, with only 76.68% of the region exhibiting stabilized trajectories, while the other two scenarios recorded percentages higher than 80%. Key drivers of ESB-type shifts included initial food provision services, elevation, slope, changes in the proportion of construction land, and population change. This multi-scenario simulation of ESB evolution due to land use changes aids in comprehending potential future development directions from diverse perspectives and serves as a valuable reference for formulating and changing ecological management policies and strategies.

Analisis Peran Kepala Sekolah dalam Meningkatkan Manajemen Mutu Sekolah di Mi Darul Hikam Kota Batu

This study aims to analyze the role of school principals in enhancing school quality management at MI Darul Hikam in Batu City. The research method employed is qualitative with a case study approach. Data are collected through in-depth interviews, observations, and documentary studies. Research respondents include school principals, teachers, staff, and parents of students. Data analysis is conducted using descriptive and qualitative analysis techniques. The results show that the role of the school principal is highly significant in enhancing school quality management. The school principal serves as a visionary leader, facilitator, motivator, and key driver in implementing various school quality improvement programs. Good support and communication from the school principal strengthen coordination among staff and teachers in achieving common goals. Furthermore, the school principal also plays a role in motivating teachers and staff to innovate and improve their performance.

Drivers of Adoption: Mechanical Harvesting in the Corporate Sector Tea Plantations in Sri Lanka

Tea industry experts emphasize that selective manual harvesting is the best way to maintain leaf quality while preserving tea plant health. However, tea plantations tend to adopt mechanical harvesting to overcome labour shortages and harvesting costs. But the adoption of mechanical harvesting is still low, prompting further investigations. The purpose of this study is to investigate tea plantation managers’ concerns about the factors influencing mechanical harvesting adoption based on a case study as the research strategy. The results demonstrated that the majority of determinants that emerged, as drivers are consistent with the latent constructs, defined in adoption theories. Key drivers are employees’ attitudes, facilitation, continuous monitoring, training of women and skill development through regular practice. The organizational factors that cannot be explained through adoption theories were isolated. The findings concluded that multi-dimensional factors have emerged as the driving force, which will be useful to anyone looking into the real application.

Studying long term relationship between carbon Emissions, Soil, and climate Change: Insights from a global Earth modeling Framework

The persistent increase in greenhouse gas (GHG) emissions, notably carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), since the mid-20th century has been a key driver of significant climate alterations. This study investigates the complex feedback mechanisms that both influence and are influenced by global climate dynamics, soil processes, and GHG emissions. Our statistical approach incorporates correlation measures, highlighting the limitations of such analyses, namely their inability to confirm causality, sensitivity to outliers, and the exclusive capture of linear relationships. Geographically Weighted Regression (GWR) models reveal spatial variations in the relationship between environmental factors and GHGs, while Path Analysis aids in delineating direct and indirect influences among variables. The research pinpoints significant spatial heterogeneity in the impacts of economic and environmental factors on GHGs, underscoring the necessity of localized strategies for climate change mitigation and sustainable land management. This study also identifies potential threats to agricultural productivity due to soil degradation, which hinder climate adaptation efforts. Our findings advocate for a concerted global response to reduce GHG emissions and address the challenges posed by the interplay of climate change, soil dynamics, and GHG emissions.

Colonial erasures in gender and climate change solutions

AbstractDespite deliberate moves to integrate gender with climate change solutions, efforts do not go far enough to account for coloniality, thus falling short of achieving feminist, just and transformative ends. Coloniality is a political blind spot and a systematic amnesia in climate policies and actions, despite being a key driver of climate change manifested through various forms of extractivism, economic growth, and hegemonic Eurocentric knowledge production. As a corrective and a pathway toward realizing a post/decolonial feminist climate praxis, I will disclose the colonial underpinnings in (i) a persistent gender binary and women‐centered approaches; (ii) white feminist epistemic privileging; and (iii) acquiescing to masculine Enlightenment‐inspired techno‐managerialism. Furthermore, disclosures of colonial erasures entail a foundational re‐evaluation of the climate change narrative from an isolated form of natural crisis to a phenomenon embedded in complex histories of colonialism, extractivism, and capitalist exploitation that threatens the intrinsic interdependence of nature and society and planetary survival. As a result, a post/decolonial feminist climate praxis then asks that we foster and restore this interdependence by institutionalizing an ethics of socioecological care, acknowledging epistemic diversity through embodied knowledge, and carrying out intersectional justice.This article is categorized under: Climate, Nature, and Ethics > Climate Change and Global Justice Climate and Development > Sustainability and Human Well‐Being Climate and Development > Social Justice and the Politics of Development

Catecholamine treatment induces reversible heart injury and cardiomyocyte gene expression

BackgroundCatecholamines are commonly used as therapeutic drugs in intensive care medicine to maintain sufficient organ perfusion during shock. However, excessive or sustained adrenergic activation drives detrimental cardiac remodeling and may lead to heart failure. Whether catecholamine treatment in absence of heart failure causes persistent cardiac injury, is uncertain. In this experimental study, we assessed the course of cardiac remodeling and recovery during and after prolonged catecholamine treatment and investigated the molecular mechanisms involved.ResultsC57BL/6N wild-type mice were assigned to 14 days catecholamine treatment with isoprenaline and phenylephrine (IsoPE), treatment with IsoPE and subsequent recovery, or healthy control groups. IsoPE improved left ventricular contractility but caused substantial cardiac fibrosis and hypertrophy. However, after discontinuation of catecholamine treatment, these alterations were largely reversible. To uncover the molecular mechanisms involved, we performed RNA sequencing from isolated cardiomyocyte nuclei. IsoPE treatment resulted in a transient upregulation of genes related to extracellular matrix formation and transforming growth factor signaling. While components of adrenergic receptor signaling were downregulated during catecholamine treatment, we observed an upregulation of endothelin-1 and its receptors in cardiomyocytes, indicating crosstalk between both signaling pathways. To follow this finding, we treated mice with endothelin-1. Compared to IsoPE, treatment with endothelin-1 induced minor but longer lasting changes in cardiomyocyte gene expression. DNA methylation-guided analysis of enhancer regions identified immediate early transcription factors such as AP-1 family members Jun and Fos as key drivers of pathological gene expression following catecholamine treatment.ConclusionsThe results from this study show that prolonged catecholamine exposure induces adverse cardiac remodeling and gene expression before the onset of left ventricular dysfunction which has implications for clinical practice. The observed changes depend on the type of stimulus and are largely reversible after discontinuation of catecholamine treatment. Crosstalk with endothelin signaling and the downstream transcription factors identified in this study provide new opportunities for more targeted therapeutic approaches that may help to separate desired from undesired effects of catecholamine treatment.

The effects of electricity load-shedding on the performance of small and medium enterprises in Pretoria, South Africa: A case study of Marabastad Business Community

South Africa has been experiencing electricity load shedding for over sixteen years and this has affected the performance of small and medium enterprises (SMEs) across the country, with devastating effects recorded in the post-Covid-19 era. SMEs are key drivers of the economy and their performance has a great influence on it, as they contribute 36% of gross domestic product (GDP). This case study of the problem used the qualitative research method, with data collected through interviews. This study established that, in the area studied, there is a decline in the performance of the entrepreneurs and working hours have been drastically reduced due to load-shedding. Proposals are made of measures that the SME implementers and the government of South Africa can take in order to prevent the situation from further deteriorating.

Concept of Smart Specialization as a Strategy for Sustainable Regional Development

The subject of this paper is a review of previous research on smart specialization as a concept which is one of the strategies for sustainable development of regions. Innovations are considered as one of the key drivers of growth. Recognition of innovation which was central point of strategy ‘Europe 2020’ where ‘smart specialization’ needs to make possible for the regions and countries pursue those industries in which they hold a comparative advantage and which have basis for further innovations. The main purpose of this paper is defining smart specialization and its role on the regional development. Analysis and comparison of the scientific literature and applications of smart specialization were used as methods for this paper. The main findings of this paper show that the basis of smart specialization are innovation, knowledge and research which are pillars of smart, sustainable development. Smart specialization means identifying the unique characteristics and potential of each country and region, with the aim of achieving competitive advantages and excellence. It also includes strengthening regional innovation systems, increasing knowledge exchange and spillover the benefits of innovation throughout the regional economy. By comparison method of the scientific literature this paper will contribute to the development of theoretical background of smart specialization as a strategic concept formed by a group of European Union experts with the aim of reducing the gap in competitiveness between the European Union and the United States, which arises from the lower economic and technological specialization of European countries, especially at the regional level. Also it will promote smart specialization as a concept that can contribute to strengthening regional innovation policy and regional development.

Wind-urban structure interplay in PM2.5 variation: Insights from multi-seasonal mobile air quality campaign

The health risks associated with particulate matter pollution (PM2.5) highlight the importance of comprehending key drivers of its spatial and temporal variability. While explanatory modeling is widely used for statistical inference in such applications, the role of wind variables (speed, direction) and their interplay with built environment are often overlooked. This study addresses this gap through a mobile air quality campaign in a suburban area over 10 days for each of three distinct seasons. We developed four innovative wind-based buffers to account for the wind factors and assess the impact of LiDAR-derived 3D built environment structure on PM2.5 variability at local and regional scales. Our second objective is to assess the predictive capabilities of wind-based variables. Results indicate that in our low-elevation, low-rise building study area, the built environment does not emerge as a significant factor, contrary to findings in larger, denser urban areas. Wind direction proves more effective in capturing concentration fluctuations than wind speed, and its interaction with pollution source orientation can change pollution dynamics. This study introduces new insights and methodologies for incorporating wind-related factors into the analysis of air pollution dynamics, offering opportunities for further investigation in various urban settings.

Selected Driver Variables for the Simulation of Land-Use and Land-Cover Change for the Republic of Djibouti: A Study from Semi-Arid Region

Abstract. This study aims to integrate driver variables with a land use change model (LCM) to explore their impact on the natural environment within the context of land-use changes in the Republic of Djibouti, considering possible Business-as-usual scenarios. Secondary data from 1990 and 2012 on land use land cover (LULC) were analyzed, with a 2022 map generated by adopting the same method of secondary data used (random forest classification in Google Earth Engine (GEE)) for validation. Eight key driver variables were utilized to model plausible future land cover (2035) for Djibouti. Statistical outputs and change maps from the LCM were compared to gauge historical change estimates and simulated scenarios. Analysis from 1990 to 2022 highlights significant land use and cover changes spurred by urbanization, environmental factors, and economic development. Barren land and bushland dominated, while built-up areas and water bodies expanded notably. Urbanization, agriculture, and climate change contributed to vegetation degradation, with declines in mangroves and increases in built-up areas. Water bodies also expanded during this period. Projections from the 2035 LULC map anticipate further urban expansion, underscoring the need for sustainable land management practices. In conclusion, comprehensive land-use planning, interdisciplinary approaches, and stakeholder engagement are deemed critical for addressing Djibouti's socio-economic and environmental challenges and steering towards a sustainable future. These simulated results offer valuable insights for regional governments to frame strategic policies and assess management actions for resource utilization amidst urbanization and population growth trends.

Using the health belief model to understand intention to vaccinate for Lyme disease in the United States.

A growing number of Lyme disease (LD) cases in the U.S. are reported in states neighbouring those with high-incidence (>10 cases per 100,000 population) rates. Considering the evolving epidemiology, high-incidence counties in many of these "neighbouring states," and the forthcoming vaccines, understanding the drivers of vaccination intention is critical, particularly how drivers of intention in neighbouring states vary relative to regions currently classified as high incidence. This study uses the Health Belief Model (HBM) to determine the key drivers associated with vaccine intention for U.S. adults and caregivers of children residing in neighbouring states. Using an established panel with quotas for age, sex, race/ethnicity and urbanity, we surveyed 887 adults and 822 caregivers of children residing in U.S. neighbouring states. Survey items included measures of intention and HBM constructs, all of which were assessed using 5-point Likert scales. We subsequently used structural equation modelling to understand the influence of the HBM constructs on LD vaccine intention. Estimates from structural equation modelling show that the HBM constructs explain much of the variation in intention to vaccinate against LD. Intentions to vaccinate for both adults and caregivers are positively influenced by cues to action, perceived susceptibility of LD, and perceived benefits to vaccination. Both are also negatively influenced by perceived barriers to vaccination. The caregiver's intention to vaccinate is also positively influenced by the perceived severity of LD. The intention to vaccinate for respondents residing in LD neighbouring states is strongly influenced by recommendations from healthcare providers or the Centers for Disease Control and Prevention (CDC). As incidence rises in neighbouring states and the need to prevent disease becomes more overt, public health officials should strongly recognize the influence of healthcare providers and CDC recommendations on intention to vaccinate against LD.

Microorganisms in subarctic soils are depleted of ribosomes under short-, medium-, and long-term warming

Abstract Physiological responses of soil microorganisms to global warming are important for soil ecosystem function and the terrestrial carbon cycle. Here, we investigate the effects of weeks, years, and decades of soil warming across seasons and time on the microbial protein biosynthesis machineries (i.e. ribosomes), the most abundant cellular macromolecular complexes, using RNA:DNA and RNA:MBC (microbial biomass carbon) ratios as proxies for cellular ribosome contents. We compared warmed soils and non-warmed controls of 15 replicated subarctic grassland and forest soil temperature gradients subject to natural geothermal warming. RNA:DNA ratios tended to be lower in the warmed soils during summer and autumn, independent of warming duration (6 weeks, 8–14 years, > 50 years), warming intensity (+3°C, +6°C, +9°C), and ecosystem type. With increasing temperatures RNA:MBC ratios were also decreasing. Additionally, seasonal RNA:DNA ratios of the consecutively sampled forest showed the same temperature-driven pattern. This suggests that subarctic soil microorganisms are depleted of ribosomes under warm conditions and the lack of consistent relationships with other physicochemical parameters besides temperature further suggests temperature as key driver. Furthermore, in incubation experiments, we measured significantly higher CO2 emission rates per unit of RNA from short- and long-term warmed soils compared to non-warmed controls. In conclusion, ribosome reduction may represent a widespread microbial physiological response to warming that offers a selective advantage at higher temperatures, as energy and matter can be reallocated from ribosome synthesis to other processes including substrate uptake and turnover. This way, ribosome reduction could have a substantial effect on soil carbon dynamics.

Assessing landscape-level effects of permanent grassland management and landscape configuration on open-land butterflies based on national monitoring data

AbstractHalting and reversing the ongoing insect decline requires in-depth knowledge on key drivers. Due to their sensitivity to habitat quality, butterflies are valuable indicators for grassland management intensity, including mowing. However, most studies examining mowing regime impacts on butterflies are limited to small spatial extents. Here, we tested the potential of citizen science butterfly monitoring data for assessing landscape-level effects of mowing regimes (number of mowing events and timing of the first event) and edge density (density of boundaries between different land-cover types) on butterfly richness, abundance, and community composition. We used generalised linear mixed-effects models to relate nationwide data from the German Butterfly Monitoring Scheme (DEBMS) to high-resolution satellite imagery on mowing events in permanent grasslands (grasslands excluded from crop rotation). As butterfly transects may not consistently be located within grasslands, we ran our models for different thresholds from 0 to 50%, representing increasing shares of the transect route situated within permanent grasslands (10% intervals). We did not find significant associations between mowing regimes and butterflies when focussing on species richness and abundance of all species inhabiting open land. However, we found strong positive associations of delayed mowing with the abundance of grassland specialists with increasing grassland shares per transect. Further, we found negative associations of delayed mowing with the annual number of generations and of more frequent mowing with the abundance of specialists, depending on the share of grassland per transect. Edge density had a positive association with species richness and abundance of species inhabiting open land, as well as abundance of grassland indicator species and grassland specialists in landscapes with a low grassland share per transect. Our findings underscore the importance of low-intensity managed permanent grasslands at the landscape scale for specialised butterflies. Additionally, we highlight the importance of a high density of boundaries for open-land and specialised butterflies, particularly in landscapes with highly fragmented permanent grasslands. To improve future analyses of grassland management impacts, we recommend expanding DEBMS monitoring sites to cover a larger grassland management intensity gradient and to place more transects within grasslands.

Drivers of success in global health outcomes: A content analysis of Exemplar studies.

Applying a positive outlier lens is one effective approach for generating evidence to inform global health policy, program, and funding decisions. Exemplars in Global Health (EGH) is a program that studies positive outlier countries that have made extraordinary progress in health outcomes (despite limited resources) and disseminates their successes through multiple types of outputs. To date, EGH has studied, or is studying, 14 global health topics in 28 countries. This paper aims to identify findings, summarized as themes and sub-themes, that appear among all completed EGH studies. We developed a conceptual framework and used a content analysis approach to identify the top thematic areas that appear as drivers for programmatic success across EGH studies that were completed between June 2020-May 2023. The EGH studies (N = 31) spanned six topics including under-five child mortality (n = 6), childhood stunting (n = 5), community health workers (CHW) (n = 4), vaccine delivery (n = 3), COVID-19 response (n = 6), and newborn and maternal mortality reduction (n = 7) across 19 countries in sub-Saharan Africa, Latin America, South and Central Asia, and the Caribbean regions. Top drivers of success were defined as those critical or catalytic in achieving the intended outcome. Eight key drivers were identified: (1) efficient data collection and use for decision-making, (2) strong political commitment and health leadership, (3) effective stakeholder coordination, (4) a local, connected, and capacitated workforce, (5) intentional women's empowerment and engagement, (6) effective adoption and implementation of national policies, (7) effective and sustainable financing, and (8) equitable, efficient outreach and targeting. These cross-cutting drivers span a broad range of development outcomes, sectors, and populations, and indicate a need to effectively integrate people, systems, and sectors to improve global health outcomes. Findings from this study aim to support peer learning among countries and support evidence-based decision-making for funders, policymakers, and other key stakeholders.

Board Diversity and Governance Outcomes of State Corporations in Kenya

Boards play a critical leadership role in good governance of Kenya’s state corporations, which exit by law to deliver effectual services to the citizenry. The sector has since independence undergone various reforms aimed at continuous improvement, mitigating inherent challenges and to deliver efficient service. In 2015, the Government of Kenya upscaled its governance architecture by sanctioning a governance code. Despite this endeavour, the state corporation’s ecosystem has recorded unimpressive outcomes on the corporate governance front. This study sought to establish the relationship between board diversity and governance outcomes of state corporations in Kenya. A descriptive survey design was used on a target population of 138 state corporations and a simple random sampling technique used to draw a 20% study sample, amounting to 28 state corporations. The study collected primary data using a structured questionnaire. A drop and pick method were used to administer the questionnaire to three respondents from each sampled state corporation upon consideration and application of accruing research protocols. The data collection instrument was pretested prior to the actual data collection to check reliability and validity upon which the emergent issues were corrected and instrumentation enhanced. The collected data was analysed using simple regression analysis vide SPSS version 21. The findings have been presented using tables. The study established a significant positive relationship between board diversity and inclusion and governance outcomes of state corporations in Kenya and concluded that board diversity and inclusion is a key driver of corporate governance outcomes. The study recommended that firms should mainstream diversity and inclusion in order to drive sustainable advantage in boards as a tool to effective leadership and governance. Future studies may be undertaken in the private sector for contextual comparability

Unraveling the dynamics of atmospheric methane: the impact of anthropogenic and natural emissions

The reduction in methane concentration is crucial for achieving the goals of the Paris agreement. However, its annual growth rate is unstable, and understanding the reasons for changes in methane growth is essential for climate policy-making. Currently, there is considerable uncertainty regarding its attribution. Here, we utilize multi-source data and optimal fingerprinting methods to detect the contributions of several key drivers to the methane trend and interannual variability. We find that the methane growth trend is primarily influenced by anthropogenic emissions, while interannual variability is predominantly determined by wetland and biomass burning emissions. This result underscores the central role of anthropogenic emissions in methane dynamics, providing confidence in the effectiveness of human efforts to control methane atmospheric concentrations through emission reductions. It also helps alleviate concerns about the recent surge in atmospheric methane concentration, as it may be a short-term peak caused by increased wetland emissions rather than a long-term change.

Persistent and implications of Changing Livelihood in Hill Setting of Nepal: A Qualitative Inquiry of Vyas-10 of Tanahun

Nepal has witnessed rapid change in political and socioeconomic dimensions in the last three decades. Migration and remittance are key factors for the changing livelihoods and it implies various forms of Hill settings in Nepal. The aim of the study is to identify the persistence and implications of livelihood changes in the Hill setting of Nepal from the emic perspective. As per the requirement of the study, 30 in-depth interviews were conducted Dumsi village of Vyas-10 of Tanahun district. The study identified that remittance is the key driver of the livelihood change in the Hill setting. The changing livelihood of the village people also changes the gender roles, the age structure of the working age population, change in the caste-based occupation and structural change of the caste-based system and the diversification of the income sources. Agriculture was seen as the main occupation three decades ago, it is a secondary source of livelihood in the villages due to migration and remittances.