Search Results (137)

We are living in an era where the demand for Open Access to knowledge is growing and the need for transparency in scientific publishing is becoming imperative. The question that arises at this stage is whether openness in knowledge constitutes the Achilles heel of the once profitable legacy publishing industry or whether it is the Trojan horse of the latter for increasing its revenues. At the same time, the question of whether Open Access publishers can ensure their sustainability through this model remains unanswered. This study implements a multi-year analysis (2019–2023) comparing the performance of Open Access and legacy publishers. Using a set of financial ratios—grouped by profitability, liquidity, efficiency, and solvency, as well as data on firm size (revenues, assets, and employee counts), we assess their financial performance. The results indicate that legacy publishers have enormous scale, stable profitability, and high leverage, but low liquidity and return on equity. On the other hand, OA publishers, although smaller, have higher returns, better liquidity, and almost zero borrowing, but with greater annual volatility. The study discusses that OA publishers, despite their small size, can be as profitable as or even more profitable than traditional publishers, thanks to flexible structures and fast cash flows, but remain vulnerable due to limited resources and the risk of acquisition. Furthermore, legacy publishers maintain their dominance by leveraging their scale, strong brands, and investment capacity while adopting or acquiring OA models, creating a competitive environment where scale and strategic differentiation are decisive. Full article

In 2024, 28% of the global population experienced moderate or severe food insecurity. The State of Food Security and Nutrition in the World (SOFI) 2024 report underscores that adequate and sustained financing is critical to achieving global food security and improved nutrition outcomes. Grounded in the entitlement theory, this study examines how financial inclusion can reinforce the relationship between entitlements and food security. The study conducts a systematic review research methodology to collect, interpret, and integrate 84 studies. The findings of the paper include a thematic map and a conceptual framework. The thematic map highlights the major themes of the research area. The conceptual framework illustrates how financial inclusion enhances key entitlements such as production, trade, labor, and aid, which help achieve the four dimensions of food security: availability, accessibility, utilization, and stability. The study contributes theoretically by extending both entitlement and capability theory, showing how financial services improve access to food and strengthen people’s capabilities. On the policy front, the study recommends enhancing digital infrastructure in rural areas, promoting sustainable agriculture, empowering women, and encouraging millet production through targeted subsidies and cash transfer schemes. The study also suggests future research directions to help address its limitations, such as the lack of empirical testing of the proposed relationships. Full article

Accurate normalization of target gene expression in qRT-PCR experiments requires the development of stable and efficient housekeeping reference genes, particularly for tissue-specific genes in a given organ. Phyllanthus emblica L., an economically important cash tree, has been applied as medical or functional fruit for years in Asian countries due to its fruit that contains rich and diverse active compounds. Developing housekeeping reference genes is critical to investigate the physiological and molecular regulation of fruit development and ripening for P. emblica genetic improvement in breeding practice. Here, based on the expressional stabilities and efficiencies, expression profiles of 13 candidate genes at various fruit development stages were compared between two accessions using expression levels and multiple statistical methods, including BestKeeper, NormFinder, geNorm, ΔCt, and RefFinder. The validation test was conducted through qRT-PCR analysis of two fruit tissue-specific genes, PeGASA and PeMLP, across the different fruit development stages, combined with the comparison of gene expression consistency between qRT-PCR and transcriptomic data. These analyses identified PeACT and PeUBQ6, two regulators of tissue development and ripening, to be the most suitable housekeeping reference genes. Thus, we recommended PeACT and PeUBQ6 can serve as housekeeping reference genes for conducting qRT-PCR analysis in P. emblica fruit, helpful for investigating gene expression related to fruit development and ripening using the qRT-PCR technique. Full article

The construction sector is particularly prone to financial instability, with insolvencies occurring more frequently among micro- and small-scale firms. The current study explores the application of artificial intelligence (AI) and machine learning (ML) models for predicting insolvency within this sector. The research combined a structured literature review with empirical analysis of construction sector-level insolvency data spanning the recent decade. A critical review of studies highlighted a clear shift from traditional statistical methods to AI/ML-driven approaches, with ensemble learning, neural networks, and hybrid learning models demonstrating superior predictive accuracy and robustness. While current predictive models mostly rely on financial ratio-based inputs, this research complements this foundation by introducing additional sector-specific variables. Empirical analysis reveals persistent patterns of distress, with micro- and small-sized construction businesses accounting for approximately 92% to 96% of insolvency cases each year in the Australian construction sector. Key risk signals such as firm size, cash flow risks, governance breaches and capital adequacy issues were translated into practical features that may enhance the predictive sensitivity of the existing models. The study also emphasises the need for digital self-assessment tools to support micro- and small-scale contractors in evaluating their financial health. By transforming predictive insights into accessible, real-time evaluations, such tools can facilitate early interventions and reduce the risk of insolvency among vulnerable construction firms. The current study combines insights from the review of AI/ML insolvency prediction models with sector-specific feature derivation, potentially providing a foundation for future research and practical adaptation in the construction context. Full article

The intensification of anthropogenic pressures, particularly those related to agriculture driven by increasing demands for food and cash crops, generates negative environmental externalities. Assessing these externalities is essential to better identify and implement measures that promote the environmental sustainability of rural landscapes. This study aims to develop a multi-criteria assessment method of the negative environmental externalities of rural landscapes in the northern Benin agricultural basin, based on satellite-derived data. Starting from a 12-class land cover map produced through satellite image classification, the evaluation was conducted in three steps. First, the 12 land cover classes were reclassified into Human Disturbance Coefficients (HDCs) via a weighted sum model multi-criteria analysis based on nine criteria related to the negative environmental externalities of anthropogenic activities. Second, the HDC classes were spatially aggregated using a regular grid of 1 km² landscape cells to produce the Landscape Environmental Sustainability Index (LESI). Finally, various discretization methods were applied to the LESI for cartographic representation, enhancing spatial interpretation. Results indicate that most areas exhibit moderate environmental externalities (HDC and LESI values between 2.5 and 3.5), covering 63–75% (HDC) and 83–94% (LESI) of the respective sites. Areas of low environmental externalities (values between 1.5 and 2.5) account for 20–24% (HDC) and 5–13% (LESI). The LESI, derived from accessible and cost-effective satellite data, offers a scalable, reproducible, and spatially explicit tool for monitoring landscape sustainability. It holds potential for guiding territorial governance and supporting transitions towards more sustainable land management practices. Future improvements may include, among others, refining the evaluation criteria and introducing variable criteria weighting schemes depending on land cover or region. Full article

Air-pollution-related issues, including the rise in carbon dioxide emissions, require, among others, solutions that include using electric vehicles supplied by the energy obtained from renewable sources. These solutions also include the infrastructure for electric vehicle charging. However, the existing systems mostly employ independent subsystems (such as subsystems for the control of electric vehicle chargers, subsystems for the control of smart battery storage, etc.), leading to hardware redundancy, software complexity, increased hardware costs, and communication link complexity. An architecture of a system for remotely controlling a renewable-energy-source-powered sustainable electric vehicle charging station, which overcomes these deficiencies, is presented in this paper. Consideration is also given to the sizes and combinations of different parts (renewable sources, batteries, chargers, etc.) for various purposes (households, replacing current gas stations, big parking spaces in shopping centers, public garages, etc.). The ability to integrate a wide range of features into one system helps to optimize the use of several subsystems, including the ones that control electric vehicle chargers remotely, smart storage battery remote control, smart electricity meter remote control, and fiscal cash register remote control, creating a sustainable and economically efficient solution. In this manner, consumers of electric vehicles will have easier access to renewable-energy-powered sustainable charging stations. This helps to reduce the amount of air pollution and its harmful effects, including climate change, by promoting the use of electric vehicles that are powered by renewable energy sources. The energy independence and sustainability of the station were considered in such a way that the owner of the station achieves maximum economic benefits. Full article

The cattle sector plays a critical role in Peru’s agricultural economy, yet it faces challenges related to low productivity and environmental degradation. Sustainable alternatives like silvo-pastoral systems (SPSs) offer promising solutions to enhance both economic returns and ecological outcomes in cattle farming. This study examines the economic viability of an intensive SPS (SPSi) compared to traditional monoculture grass systems in San Martín, Peru. The SPSi under study is in the evaluation phase, integrates grasses, legumes, shrubs, and trees, and has the potential to enhance cattle farming profitability while simultaneously offering environmental benefits such as improved soil health and reduced greenhouse gas emissions. Through a discounted cash flow model over an eight-year period, key profitability indicators—Net Present Value (NPV), Internal Rate of Return (IRR), Benefit–Cost Ratio (BC), and payback period—were estimated for four dual-purpose cattle production scenarios: a traditional system and three SPSi scenarios (pessimistic, moderate, and optimistic). Monte Carlo simulations were conducted to assess risk, ensuring robust results. The results show that the NPV for the traditional system was a modest USD 61, while SPSi scenarios ranged from USD 9564 to USD 20,465. The IRR improved from 8.17% in the traditional system to between 26.63% and 30.33% in SPSi scenarios, with a shorter payback period of 4.5 to 5.8 years, compared to 7.98 years in the traditional system. Additionally, the SPSi demonstrated a 30% increase in milk production and a 50% to 250% rise in stocking rates per hectare. The study recommends, subject to pending validations through field trials, promoting SPSi adoption through improved access to credit, technical assistance, and policy frameworks that compensate farmers for ecosystem services. Policymakers should also implement monitoring mechanisms to mitigate unintended consequences, such as deforestation, ensuring that SPSi expansion aligns with sustainable land management practices. Overall, the SPSi presents a viable solution for achieving economic resilience and environmental sustainability in Peru’s cattle sector. Full article

Achieving the mainstream adoption of circular packaging is essential for mitigating the environmental impacts of plastic waste. Its widespread adoption, however, remains hindered by significant user barriers. This study investigates the barriers to user adoption of upstream packaging solutions in Indonesia with the aim of reducing plastic packaging waste. Through a mixed-methods approach including case studies, expert workshops, and focus group discussions, nine key barriers were identified and analysed. These include inconvenience, resistance to changing habits and behaviours, higher costs and deposit schemes, contamination and hygiene concerns, wear and tear, functional and performance limitations, a lack of awareness about the environmental impacts, limited availability and variety, and a lack of trust. This research advances the literature by offering a detailed analysis of these barriers, categorising them into sociocultural, economic, contextual, and regulatory aspects. Additionally, barriers specific to Indonesia were identified such as a shift from being served to self-service refilling, some people not having smartphones, poor cellular signals in rural areas, a preference for plastic packaging due to its resale value, and a preference for cash payments due to limited access to credit or bank cards. The findings highlight the need for tailored, multidisciplinary strategies to overcome these barriers and promote the adoption of circular packaging solutions. This research provides valuable insights for researchers studying circular design, businesses seeking to innovate upstream packaging solutions, and policymakers aiming to develop regulations that support the adoption of circular packaging practices. Full article

This study examines the role of financial awareness (FA), financial capability (FC), and their influence on risky financial behaviors—risky paying behavior (RPB), risky borrowing behavior (RBB), and financial goals (FGs)—among agro-industrial MSMEs in East Java. This study also explores the moderating effects of expected future financial security (EFFS) and current money management stress (CMMS) in the context of seasonal income fluctuations. This study employed a quantitative approach using structural equation modeling (SEM) with SmartPLS 4. Data were collected through surveys with 287 MSME owners in six cities/regencies in East Java, selected using a random sampling method. The research variables were measured using validated scales adapted from previous studies. FA significantly influenced FC, RPB, and RBB, whereas FC positively impacted FG. RPB had a strong positive effect on FG, whereas RBB showed no significant relationship. The mediation effect of FC between FA and FG was significant, highlighting its pivotal role in achieving FG. However, the moderating effects of EFFS and CMMS on the FC–FG relationship were not significant, suggesting their limited direct impact in this context. This study reveals the urgent need for tailored financial literacy programs that address specific issues faced by MSME owners, such as managing irregular cash flows and minimizing risky financial behavior. Financial institutions should develop accessible financial tools and products for agro-industrial MSMEs. Full article

Concerns about global food insecurity have been growing, particularly in low- and middle-income countries. This study aimed to assess the determinants of food security among internally displaced persons (IDPs)—people who have been forced to flee their homes due to conflict, natural disasters, or other crises—and their children under five, as well as the influence on their nutritional status. Using random sampling, the caregivers of IDPs and children under five in households were included in the study. The caregivers were interviewed using a validated structured questionnaire, while nutritional assessments of both children and adults were conducted through anthropometric and clinical evaluation methods. The findings revealed a high prevalence of food insecurity, with 97.6% of IDP households experiencing some degree of insecurity. Additionally, 28.3% of the surveyed households had high dietary diversity. Among the children, 50.6% were stunted, over a third were underweight, and 15.8% were wasted, indicating severe nutritional deficiencies. Among adults, 28.4% were overweight or obese, while a significant number were underweight. Multiple linear regression analysis showed that the caregivers’ monthly salary and the average amount spent on food were associated with a decrease in food insecurity. Conversely, large household sizes and coping strategies employed to mitigate food insecurity were linked to increased food insecurity. In conclusion, the study highlights a high prevalence of food insecurity among IDP households, forcing families to adopt coping strategies, mainly through dietary modifications. This, in turn, contributes to low dietary diversity and poor nutritional status, with children suffering from underweight, wasting, and stunting. These findings underscore the urgent need for comprehensive interventions, including the distribution of food vouchers, cash transfers, food banks, and support for home gardening and small-scale farming, as well as education on meal rationing, meal planning, and family planning services. Addressing the root causes of food insecurity—namely low household income and large family sizes—can improve access to nutritious food and ensure the health and well-being of IDPs. Furthermore, addressing food insecurity within this vulnerable group is critical to the broader goals of planetary health, as it highlights the intersection of human health, social equity, and environmental sustainability. By promoting sustainable food systems and supporting vulnerable populations, these interventions can contribute to the resilience of both communities and eco-systems in the face of ongoing global challenges. Full article

This study examines the integration of multi-real-option valuation and security token offering (STO) as an innovative approach to real estate project financing. The case study of Aspen Resort Development serves to illustrate this methodology. The traditional discounted cash flow (DCF) method is frequently ill-suited to the dynamic and uncertain nature of long-term real estate projects, particularly in regard to the ability to adapt to market fluctuations. In order to address these limitations, this study employs a multi-real-option model with a binomial lattice framework, thereby facilitating flexible decision-making in various investment stages. The analysis demonstrates that the STO-based project financing (STO-PF) model offers enhanced financial performance and strategic advantages in comparison to the conventional DCF approach. Furthermore, the STO-PF model has the effect of increasing liquidity, expanding investment accessibility, and improving risk management through the utilization of digital platforms. By quantifying the project’s extended net present value (ENPV), the integration of STOs with real-options models can facilitate optimal investment decisions in the context of a high level of market volatility. Consequently, the STO-PF model is determined to yield a project value (E) of USD 7.34 million and a real-options value (ROV) of USD 3.69 million. This is markedly higher than the net present value (NPV) of USD 3.65 million derived from the traditional project finance (PF) model. Furthermore, the put option for the second investment stage contributes USD 16.45 million to the overall value of the project, thereby demonstrating the flexibility and strategic advantages of the STO framework in comparison to static NPV analysis. The Aspen project serves as a case study, demonstrating the financial viability of phased investments in dynamic market conditions. It contributes to the theoretical understanding of STO-based financing and provides practical insights for developers seeking flexible and innovative financing solutions in the real estate sector. Further research is required to confirm the applicability of STOs in diverse market environments and regulatory contexts. Additionally, in-depth research is necessary to integrate emerging technologies, such as artificial intelligence and machine learning, into multi-real-option-based financial platforms. This integration aims to enhance financial modeling and decision-making processes, as well as to facilitate the integration of digital technologies in this field. Only then can the development and implementation of smart construction development advance. Full article

As environmental pollution intensifies, China has begun to implement green credit policies to reduce credit allocation to highly polluting enterprises. This research examines the influence of green credit on the cash flow of heavily polluting enterprises, based on the implementation of the “Green Credit Guidelines”. The policy creates a quasi-natural experimental setting by giving businesses access to an exogenous occurrence. Consequently, this paper uses data from 494 A-share listed companies in China over a fifteen-year period from 2007 to 2021 and employs a Difference-in-Differences (DID) model to assess the net effect of the policy, positing that green credit scheme will prevent highly polluting businesses from making money. The empirical findings show that the green credit policy significantly reduces the cash flow of businesses that emit a lot of pollutants, especially when it comes to operational cash flow. Heterogeneity analysis reveals that the cash flow of high-emission regions and non-state-owned heavily polluting enterprises is affected even more significantly. Previous research has often overlooked cash flow as a metric; however, cash flow is a critical indicator of an enterprise’s operational status. From this angle, this study adds to our knowledge of how green credit schemes affect highly polluting businesses. Additionally, it contributes to the ongoing discussion regarding the relationship between financial constraints and cash flow. China’s government ought to keep encouraging the creation of green credit regulations, enhance supervision of state-owned heavily polluting enterprises, and pay attention to low-emission regions by establishing dynamic regulatory indicators to promote ecological civilization construction and the transformation and upgrading of lagging industries. Full article

Introduction: Child trafficking is a clear violation of human rights, robbing minors of their fundamental entitlements. These encompass the right to personal identity, familial bonds, cultural heritage, access to healthcare and proper nourishment, education, freedom of speech, and the assurance of safety and security. Children and young people, given their inherent vulnerability and limited access to support networks, frequently struggle to safeguard themselves effectively. This predicament presents traffickers with opportunities to exploit and manipulate them. Therefore, it is essential for professionals across various sectors—including education, healthcare, protective and social services, as well as the justice system—to undergo comprehensive training and be integrated into a robust social protection system. This preparation should equip them to conduct screenings, accurately assess needs, and adhere to international guidelines when addressing cases of child trafficking. Aim: The aim of this study is to explore the child-centered anti-trafficking approaches employed by Italy and Turkey, situated along migration pathways in the Mediterranean region and experiencing significant regular and irregular migration flows in recent years. Both nations fall within the classification of southern European welfare regimes. Methodology: This research specifically delves into the social protection policies aimed at children and young victims established by these two countries. Carried out between 1 February 2020 and 20 May 2021, this study employed a semi-structured interview approach, conducting qualitative in-depth interviews in both Italy and Turkey. This research targeted experts from various disciplines engaged in combating human trafficking in both countries, with a total sample size of 46 participants, comprising 15 experts from Italy and 31 from Turkey. Grounded theory formed the basis of the study, with data analyzed using the MAXQDA 2020 Pro Analytics program, employing a multidisciplinary and empowerment approach. Results: The analysis yielded 2942 codes, 17 sub-themes, and four main themes. The study identified four main themes: (i) characteristics of child victims and vulnerable child groups, (ii) services provided to at-risk groups and child trafficking victims within the current national counter-trafficking framework, (iii) challenges encountered in delivering services to children and young individuals, and (iv) recommendations for establishing an effective and child-centered protection system. Discussion and Conclusion: It is imperative to ensure that victims of child trafficking have access to comprehensive social protection measures. It has been noted that both Italy and Turkey offer various services to victims of child trafficking, including in-kind and -cash social assistance, free legal aid, shelter services, access to education and healthcare, as well as prevention, awareness, and advocacy programs. However, there are also differences between the two countries in certain aspects. Recommendations aimed at addressing these differences can be developed by adhering to the minimum standards outlined in the Council of Europe Convention on Action against Trafficking in Human Beings. Full article

The implementation of conservation tillage is crucial for the preservation and utilization of black soil. This study examined 297 new agricultural management entities in five pilot counties in the black soil region of northeast China. Using the SBM-Undesirable model, this study measured and evaluated the agricultural green total factor productivity (AGTFP) of these entities. We further employed the Tobit model to explore the impact of conservation tillage on the AGTFP. The findings revealed that the average AGTFP value of the sample entities was 0.4364, indicating a generally low degree of AGTFP that exhibited significant variation. Improvement in input indicators (such as machinery) and undesirable output indicators (such as net carbon emissions) was particularly needed. Additionally, conservation tillage had a significant positive impact on AGTFP, with a higher number of applied technologies correlating with increased productivity. Material subsidies for conservation tillage offered greater direct cost relief and had a stronger positive effect on AGTFP in comparison with cash subsidies. Furthermore, apart from policy factors, key production and operation characteristics—such as access to agricultural materials—also significantly influenced AGTFP. The results of this study offer a valuable decision-making framework and scientific reference for countries in black soil regions worldwide, enabling them to enhance the conservation and sustainable utilization of this vital resource. Full article

Mobile payment, replacing traditional methods like cash and cards, offers users convenience and accessibility, benefiting individuals, businesses, and governments. However, most research on mobile payment adoption has primarily focused on developed countries, leaving a gap in understanding the adoption factors in developing nations. This study addresses this gap by investigating the determinants of mobile payment adoption in Thailand, an emerging economy experiencing significant smartphone adoption and e-commerce growth. Through a quantitative approach and a survey of 475 Thai consumers, this research applies an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical foundation to examine Thai consumers’ mobile payment adoption. Data analysis using SPSS 28.0 and AMOS 28.0 identifies key factors influencing Thai consumers to adopt mobile payment. By offering a comprehensive research model and considering evolving smartphone technology, this study aims to guide policymakers and stakeholders in promoting mobile payment adoption, ultimately enhancing Thailand’s economic development and tourism industry. Full article