Action Plan Research Articles

The big fat Indian wedding

Learning outcomes After completion of the case study, students will be able to recall the fundamental concepts of group arrival and the check-in process within the hotel industry; explain the various operational procedures used to enhance a smooth group check-in in hotels; use the steps defined in group check-in procedure to improve service efficiency in hotel operations; and examine and evaluate the optimal solution for a smooth group check-in for hotels. Case overview/synopsis “The Big Fat Indian Wedding” delves into the challenges faced by Hotel Plaza Blu, a business hotel in Pune, Maharashtra, in 2023. A big wedding group was arriving at the hotel, which comprised almost 350 adults and 120 children. Mr Parag Patil, the front office manager, had done all the preparations for group arrival but just one hour before the arrival Mr Suresh Menon, the group coordinator, came and informed that 150 additional guests would be arriving, as the other hotel, where arrangements for these guests were made, had a major electricity generator breakdown and the hotel was in complete blackout. Patil had the challenge of formulating an action plan to achieve a smooth group check-in with the last-minute changes. Complexity academic level Executive development programmes and graduate-level courses in non-profit hospitality and tourism management might benefit from this case study. The operational management courses in the BBA, UG management programmes might all benefit from using this case study. Supplementary materials Teaching notes are available for educators only. Subject code CSS 9: Operations and Logistics.

Examining the ecological effects of energy transition, environmental technology, and structural change in BRICS economies: Implications for sustainable development

ABSTRACT This study examines the ecological impacts of energy transition (fossil fuels, nuclear energy, and renewable energy), environmental technology, structural change, and urbanization in BRICS from 1996 to 2019 while relying on second-generation estimators. The key findings uncover fossil fuels and urbanization as deterrents to BRICS’ drive for sustainable environment through their carbon-inducing effects. Besides, nuclear energy, renewable energy, environmental technology, and structural change provide the needed support to enhance the sustainability of the environment by mitigating CO2 emissions. The empirical regularity of the main estimators is supported by the outcomes of MMQR across the low, middle, and upper quantiles. Besides, the direction of causality among the variables reveals unidirectional, bidirectional, and no causal nexus. On the policy front, the study recommends substantially reducing fossil fuel subsidies while investing in nuclear and renewable energy as viable action plans for enhancing the sustainability of the BRICS’ environment.

Methane Emissions from Oil and Natural Gas Operations—30 Percent Reduction by 2030 Possible if Domestic and International Actions “Stay the Course”

When sworn into office in January 2021, the Biden–Harris Administration—through the National Climate Task Force—launched an ambitious, whole‐of‐government initiative to significantly double efforts and reduce methane emissions from the oil and natural gas sector, landfills, agriculture, and other lesser sources. These initiatives were documented in the U.S. Methane Emissions Reduction Action Plan, which proposed to use regulations, catalytic financial incentives, transparency and disclosure of actionable data, together with public and private partnerships, to identify and reduce methane emissions. President Biden's Build Back Better agenda was designed to accelerate, through investments, many of these domestic methane emissions reduction efforts.

A Case Study: Implementation of Innovative Educational Strategies on Teaching Nuclear Chemistry at the College of Engineering Laguna State Polytechnic University – Sta. Cruz Campus

The outcome of the evaluation shows the level of students’ consistency with the expected learning outcomes and identifies the weaknesses that are present in them for training rationale. As a result, the data highlight the necessity of the creation of certain instructional techniques that would help the students confront the challenges that arise due to nuclear chemistry. Probably this would improve the understanding p of nuclear structure and properties when jigsaw and practical strategies are used to teach. A noticeable growth of homogeneity between subjects around the engineering specialization spectrum provides an idea of what works best. High marks achieved early may indicate deficits within the domain while progressing uniformly points towards learning needs being unaddressed. Learners’ interests and the perception of their knowledge may be enhanced by employing diverse tasking and assessment strategies within the instructional applications. Nuclear chemistry may remain a challenging science that does not motivate students to learn or retain information if its delivery does not change. The action plan is part of follow-up activities like conducting active learning through group work and experiments. Such procedures are reasonable as they provide and support evidence of understanding through feedback. Adjust the existing curriculum as a pedagogical strategy for generating credible new information supported by practical benefits. Impart additional learning and teaching in a way that assists challenged or struggling learners in adapting. Be open and discuss positive outcomes so that students become more self-assured and confident. As the above recommendations and action plans were also suggested by them, it is expected that engineering students who adopt nuclear chemistry will have their education experiences enhanced. This strategic approach does more than solve the challenges noted but also employs the resources and opportunities available to promote understanding of the subject. It is also expected that these strategies will be subjected to constant evaluation to improve their effectiveness and the students’ addresses.

Maternal and perinatal death surveillance and response in Bangladesh: A case study on measuring impact through health information systems

The health sector in Bangladesh is thriving, and the Maternal and Perinatal Death Surveillance and Response (MPDSR) program has been in place to investigate the causes of maternal and perinatal death. This study aimed to investigate the availability of information systems for measuring the status of an MPDSR program and the planning process and actions developed based on real-time information. This study delved into innovative information systems that can be used to monitor and measure the impact of health programs. The study included both the primary and secondary data. A total of six key informant interviews were conducted to explore the enablers and strengths of information systems. Secondary data were collected from government websites and MPDSR action plans. This study highlights the potential and challenges of governmental health information systems in notifying maternal and neonatal deaths. While the current notification rates are not up to national standards, it is encouraging to see health managers develop action plans and address this issue. The MPDSR information system is a valuable tool to help health managers measure changes in maternal and perinatal mortality rates and design locally targeted interventions. However, several obstacles must be addressed, such as insufficient data, lack of monitoring, and irregularities in MPDSR review meetings. By finding ways to overcome these challenges, we can unlock the full potential of MPDSR and improve maternal and neonatal health outcomes. The success of an MPDSR program relies on how the information is utilized to take action and measure the outcome. Advanced information systems, such as health dashboards, scorecards, and administrative data, can play a vital role in measuring the progress and impact of a program. The primary challenge lies in capturing all deaths, including their causes, and having the capacity to analyze the data effectively to develop action plans for health managers.

Epilepsy in CHAD: Realities, constraints, and prospects.

Epilepsy is a significant public health problem. More than 50 million people worldwide live with epilepsy, and over three-quarters of them are in low- and middle-income countries. The situation in Chad regarding people with epilepsy is challenging to assess, starting from the shortage of scientific data, the inadequacy of technical facilities, the lack of human resources, and the inadequacy of government action. The Ministry of Health and Chadian Society of Neurology are looking forward to prioritizing epilepsy as well as improving the living conditions of persons with this disease. The epilepsy treatment issue is also problematic. Most of the patients are either off treatment or under-medicated. Few antiseizure medications (ASMs) are available, notably carbamazepine, phenobarbital, and valproic acid. Epilepsy remains little-known and does not seem to be a priority for decision-makers. We describe the current situation in Chad, to improve the conditions under which epilepsy is treated. PLAIN LANGUAGE SUMMARY: Epilepsies is a chronic brain problem that is common in poorer settings. The daily lives of people with epilepsy are chaotic in Chad. The challenges are numerous, particularly those related to health infrastructures, due to the lack of adequate diagnostic means and the lack of neurologists. The cultural and language challenges, especially since epilepsy is still considered the devil's disease and the name differs according to the dialects. Stigmatization is also frequent and is often responsible for school dropout, refusal, or dismissal from work. Care and prevention are daily challenges that require government action. Social coverage is insufficient and almost absent in rural areas. It is urgent to prioritize epilepsy in future action plans and also to increase awareness of the conditions to overcome these challenges.

Beyond symbolism: The roles of action planning and case-making in immigrant integration policymaking

Abstract How do city-level policymakers build support for substantive action in policy domains characterized by low levels of national salience and limited local capacity, and which evidentiary resources support as well as reflect these uses? Despite much attention to policymakers’ engagement with evidence, existing work tends to focus on domains where the issues at stake attract high levels of input and influence from central governments. This limits empirical and theoretical understanding of how local efforts to implement potentially contentious policies arise, and through which means. In response, we examine how municipal actors in 12 cities and regions across the UK have devised and communicated policies on immigrant integration—an area that lacks national policy inputs yet is locally consequential—through the mechanism of “action planning.” Drawing on 6 years’ worth of documentary evidence generated through a university-initiated collaboration with these municipalities, we show how action plans gather attention for objectives and propagate examples of practice to other cities—what we call “case-making.” This serves as a micro-foundation for the action planning mechanism, which links symbolic statements about immigrant integration with substantive intended actions.

Elements of environmental and socioeconomic sustainability related to the food system: A meta-synthesis

This study aims to understand how the individual elements of the food system relate to sustainability through a meta-synthesis. Changes in food production and consumption in recent decades have had a detrimental effect on human health and the environment. This study helps to explain the existing gap that affects the entire process from food production to the final consumer by discussing the elements that comprise the food system dimensions of a healthy and sustainable diet. The meta-synthesis approach makes it possible to capture elements and their relationship to each other and to generate explanations about theoretical relationships. With this in mind, searches were conducted in the Scopus database, initially selecting 1,362 studies that contained previously selected search descriptors. Subsequently, an exploratory analysis of the titles and abstracts of the articles was conducted, resulting in a set of twenty case studies centered on the topic of interest. After applying inclusion and exclusion criteria, twelve studies remained to make up this meta-synthesis. The elements that emerged from the analytical synthesis of the articles favor or hinder the transition to healthy and sustainable food systems and have an impact on four dimensions: Production, supply, marketing and consumption, as well as on the food system as a whole. As a theoretical contribution, this study explains the elements and stressors of sustainable food systems. As a practical contribution, based on these stressors, action plans can be developed involving different stakeholders and public policies to develop public policies that promote healthy and sustainable diets.

Metacognitive training for algebra teaching to high school students: An action research study

Metacognition is an essential concept in mathematics education research. Studies indicate that high school students in Turkey must demonstrate expected success in learning mathematics in general and algebra in particular. To this end, the Ministry of National Education has initiated a mathematical mobilization in Turkey. Mathematics mobilization is a project that will adapt the learning of mathematics to daily life skills, making learning more accessible and ensuring that students love this course from an early age. In the initial interviews with teachers as part of this mobilization, teachers stated that high school students needed to exhibit sufficient metacognitive planning and monitoring strategies. Therefore, they required assistance in planning and monitoring their learning processes and motivating them to learn. The literature shows that metacognitive planning and monitoring are effective in teaching algebra. In this context, the research “How can metacognitive strategies be developed in high school students’ algebra learning?” seeks an answer to this problem. Based on preliminary teacher interviews, the researchers created action plans in collaboration with teachers. In the circular model, researchers tested these action plans and revised them. As a result of the cycle being repeated three times, researchers developed a teaching technique based on metacognitive planning and monitoring for high school students. The study’s findings demonstrate that metacognitive training taught students metacognitive planning, monitoring, prediction, awareness, and motivation strategies.

Rapid deep learning prediction model using satellite imagery for radiation accident Announcement system in Serbia

Radioactivity environmental monitoring with the help of the Radiation Accident Announcement System (RAAS) established in the Republic of Serbia is of vital importance for rapid response in the event of intervention dose values being reached such as Operational Intervention levels (OILs). There are cases of impossibility of using a ground-based model in order to predict the transport and spread of radiation during a nuclear accident such as the one in the Fukushima Daiichi nuclear power plant 2011. Modern technology has made it possible to use machine learning models with remote sensing data in addition (or an alternative) to atmospheric models with ground data collection methods. Deep learning (DL) model was developed and trained on a satellite-based cloud fraction dataset to forecast diurnal cloud drift. By forecasting the movement of clouds that are potential carriers of radioactive materials, decision-makers can provide an adequate response with an Action Plan in the case of nuclear and radiation accidents and incidents. Designed Application Programming Interface (API) has been developed and integrated between the DL model and the RAAS. In this way, the monitoring, data sharing and exchange processes were automated in order to trigger the DL model when an OILs value of 1 μSv/h is reached. The hyperparameter optimization process of the DL model was done with grid search and Particle Swarm Optimization (PSO) to achieve maximum performance on the data in a reasonable amount of time. The evolution metrics to monitor and measure the performance of the DL model were cosine similarity (CS) and structural similarity (SS) with the best score of 0.78282 and 0.27063 for grid search, respectively, while 0.27065 and 0.78282 for PSO, respectively. It can be concluded that remote sensing imagery with DL model is an alternative approach against a ground-based forecasting system, and is able to predict in near real-time independently of ground network system and data.

Nursing student reflections on a research internship: A reflective discussion following the Gibbs' reflective cycle

BackgroundEvidence-based practice underscores the importance of utilising research-based skills in the delivery of care. However, entry-to-practice nursing curriculums in Australia currently do not provide students with practical research opportunities. Acknowledging this gap, an Australian university initiated a two-month summer research internship that aim to expose undergraduate nursing students to clinical research under the mentorship of a nursing academic. AimTo understand the opportunities and challenges of a research internship and its contribution to developing research knowledge and skills for future nursing practice and leadership. DesignA reflective discussion following the six stages of the Gibbs' Reflective Cycle. SettingsA two-month research internship at an Australian University was held over the summer. ParticipantsTwo successful nursing students (FO and BM) who were both students in the Master of Nursing (Graduate Entry) program. MethodsFollowing the Gibbs' Reflective Cycle, a description of the internship experience was outlined, alongside feelings encountered. The opportunities and challenges of the internship are explored, evaluated, and analysed with related literature to inform an overall conclusion. To support other nursing students pursuing similar research endeavours during their professional transition, an action plan was developed. ResultsThe optional summer research internship proved to be a valuable experience for participating nursing students. FO and BM were granted co-authorship on their respective research projects, providing opportunities at international nursing and midwifery conferences and several avenues for career advancement. ConclusionsNursing research internships contribute to students' personal and professional development. This paper highlights the need for universities to provide innovative educational opportunities to students that enrich evidence-based nursing practice and inspire further opportunities.

Implementation of an adult life-course vaccine review service, VaxCheck, in community pharmacy: A qualitative analysis

BackgroundCommunity pharmacists are well placed to identify and vaccinate unimmunized or under-immunized individuals who can put themselves and communities at risk of preventable disease. We designed and tested VaxCheck, a novel life-course vaccine review service that can be used to raise awareness and guide personal vaccination action plans, in community pharmacies in Ontario, Canada. ObjectiveTo understand the experiences of community pharmacists and staff directly involved with providing the VaxCheck service as part of initial testing. MethodsSemi-structured interviews were performed with pharmacy staff from nine pharmacies who participated in the study. Interviews were conducted at baseline and following each of three plan-do-study-act quality improvement cycles. Activities undertaken to perform VaxCheck were assessed. An inductive thematic analysis was performed to identify dominant themes and subthemes. Activities and descriptive codes were then correlated to the Consolidated Framework for Implementation Research (CFIR). Results26 interviews were conducted. Pharmacy staff described VaxCheck activities as spanning three stages: (1) Promotion/offering of VaxCheck, (2) Completing the VaxCheck, and (3) Enacting recommendations and follow-up. VaxCheck activities were compatible with workflow related to delivery of other vaccines and medication reviews. Thematic analysis found three considerations guided VaxCheck adoption: (1) Aligning VaxCheck with workflow through flexible integration, (2) Enabling patient-oriented vaccination services, and (3) Contributing to community healthcare provision. Data aligned with all CFIR domains with strengths noted in constructs from the “Innovation characteristics” and “Individuals” domains. Barriers to implementation were identified in “Inner setting”, “Outer setting” and “Process” domains, such as pharmacy workflow capacity, patient knowledge about vaccination, availability of vaccine records, and interactions with other healthcare providers. ConclusionCommunity pharmacists found VaxCheck to be a valuable, accessible service that was well-received by patients and supported adult vaccination reviews and individualized recommendations. VaxCheck was compatible with pharmacy workflow but needed additional resources for sustainability and promotion with stakeholders.

Efficient brain tumor grade classification using ensemble deep learning models

Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The analysis of the brain with MRI scans is fundamental to the diagnosis because it contains detailed structural views of the brain, which is vital in identifying any of its abnormalities. The other option of performing an invasive biopsy is very painful and uncomfortable, which is not the case with MRI as it is free from surgically invasive margins and pieces of equipment. This helps patients to feel more at ease and hasten the diagnostic procedure, allowing physicians to formulate and practice action plans quicker. It is very difficult to locate a human brain tumor by manual because MRI scans produce large numbers of three-dimensional images. Complete applicability of pre-written computerized diagnostics, affords high possibilities in providing areas of interest earlier through the application of machine learning techniques and algorithms. The proposed work in the present study was to develop a deep learning model which will classify brain tumor grade images (BTGC), and hence enhance accuracy in diagnosing patients with different grades of brain tumors using MRI. A MobileNetV2 model, was used to extract the features from the images. This model increases the efficiency and generalizability of the model further. In this study, six standard Kaggle brain tumor MRI datasets were used to train and validate the developed and tested model of a brain tumor detection and classification algorithm into several types. This work consists of two key components: (i) brain tumor detection and (ii) classification of the tumor. The tumor classifications are conducted in both three classes (Meningioma, Pituitary, and glioma) and two classes (malignant, benign). The model has been reported to detect brain tumors with 99.85% accuracy, to distinguish benign and malignant tumors with 99.87% accuracy, and to type meningioma, pituitary, and glioma tumors with 99.38% accuracy. The results of this study indicate that the described technique is useful in the detection and classification of brain tumors.

Nutritional Composition of Forage Available to the Northern Hairy-Nosed Wombat.

Access to adequate nutrition supports an animal's chance of survival and reproduction; thus, it is particularly important for threatened species. The nutritional quality of forage available to the critically endangered northern hairy-nosed wombat (Lasiorhinus krefftii; NHW) has not been assessed for two decades. The NHW Recovery Action Plan 2022 highlighted a need to investigate the effects of invasive buffel grass (Cenchrus ciliaris) on the species' diet - reassessing the relative nutritional quality of highly abundant buffel grass will assist this investigation. This study assessed the nutritional composition of NHW food items, including buffel grass. Comparisons of the nutritional composition were made between two geographically distanced sites (both eucalyptus woodland and savannah with highly abundant buffel grass), seasons and plant genera. The nitrogen, gross energy, acid detergent fibre, neutral detergent fibre, ash and mineral content of plants and their relationship to scats, as faecal nitrogen is a good predictor of palatability of grass and nutritional status, were assessed. The nutritional content of plants varied significantly between sites, seasons and genera. Total forage nutritional quality was greatest during spring 2020 at Epping Forest National Park, during summer 2020/21 and autumn 2021 at Richard Underwood Nature Refuge and poorest during winter at both sites. Buffel grass may be a nutritionally valuable food item of the NHW during winter at both sites. There was no significant relationship between the N and gross energy in forage and scats. The findings of this study will inform management if there is a need to reduce invasive buffel grass, based on enhanced knowledge of the NHW nutritional requirements, by determining whether the species has access to suitable dietary items and meeting their nutritional requirements, particularly when forage quality is poorest or promotion of nutritionally valuable forage items is required. The study will also inform management of nutritional requirements at future translocation sites for the NHW.

Ecological analysis and multi-scenario simulation of Yellow River Delta wetland under clearing of Spartina alterniflora

In 2022, China released the Special Action Plan for the Control of Spartina alterniflora (2022-2025) with the goal of completely clearing S. alterniflora from China's coastal wetlands. It is crucial to conduct a thorough analysis of wetlands under artificial intervention and obtain reliable future wetland simulation results. The Yellow River Delta wetland is one of China's important wetland reserves, has faced severe impacts from S. alterniflora invasion over the past decade. This study focuses on the Yellow River Delta wetland, utilizing Landsat imagery and a combined object-oriented and pixel-based approach to achieve wetland mapping from 2013 to 2023. Through wetland analysis, we designed scenarios for natural development, ecological priority, farmland protection, and combined development. The patch generating land use simulation model was used to simulate wetland scenarios for 2030 and analyze factors influencing wetland use cover change and future conversion patterns. The results indicate that between 2013 and 2022, native vegetation was impacted by the invasion of S. alterniflora, with Suaeda glauca being the most affected. In 2023, the removal of S. alterniflora was effective, reducing its area by 42.37km2 compared to pre-removal conditions. In all three scenarios, the area of Phragmites australis increased and is expected to dominate the wetlands, while the live space of other native salt marsh vegetation has also been restored. However, the predictions indicate that S. alterniflora still poses a potential threat of expansion in the future, necessitating continuous monitoring of its dynamics. We recommend implementing zoned management of the wetland, balancing ecological restoration in coastal areas with agricultural development in the western regions.

SYNERGY IN SECURITY: EVALUATING THE EFFICACY OF COLLABORATIVE STRATEGIES EMPLOYED BY THE ARMED FORCES OF NIGERIA IN COUNTERING VIOLENT EXTREMISM

In the face of evolving security threats, the Armed Forces of Nigeria (AFN) stand at a critical juncture, where the echoes of gunfire meet the whispers of diplomacy. This study delves into the heart of Nigeria's counter-extremism efforts, examining the AFN's journey from traditional military approaches to a symphony of collaborative strategies. Through an extensive literature review, the study unravels the tapestry of stakeholder engagement woven by the AFN in their quest to combat violent extremism. This research navigates the complex terrain of Nigeria's security landscape, exploring how the AFN has transformed from a lone sentinel to a conductor of a diverse orchestra of stakeholders. It analyses key initiatives such as the National Security Strategy and the National Action Plan for Preventing and Countering Violent Extremism, viewing them as scores that guide this intricate performance of national security. The study reveals a narrative of progress punctuated by persistent challenges. It found that while the AFN has successfully harmonized efforts with civil society, religious leaders, and international partners, discordant notes of mistrust and resource constraints continue to resonate. The analysis uncovers the delicate balance the AFN must maintain – striking a chord between military might and community engagement, between national sovereignty and international collaboration. Emerging from our review is a portrait of an armed force in transition, learning to wield soft power alongside hard power. The study identifies innovative practices where the AFN has successfully bridged divides, creating unexpected alliances in the fight against extremism. However, we also highlight the unfinished symphony – areas where the collaboration falls short of its potential. This study contributes to the growing body of literature on military transformation in the face of asymmetric threats. By examining the AFN's collaborative strategies, it provides insights applicable not only to Nigeria but to armed forces globally grappling with similar security challenges. As the AFN continues to compose its response to violent extremism, this research offers both a reflection on its current performance and a prelude to future harmonies in national security efforts.

The national action plan for prevention and control of snakebite envenoming in India (NAPSE): Its role, opportunities and challenges

The national action plan for prevention and control of snakebite envenoming in India (NAPSE): Its role, opportunities and challenges

Assessing demographic and socioeconomic susceptibilities to heatwaves in the Southeastern United Kingdom

As climate change intensifies, the frequency and intensity of heatwaves are rising to pose significant health risks. Population vulnerability, influenced by socio-economic and demographics factors, is a widespread concern. We analysed heat vulnerability by demonstrating usefulness of principal component analysis on recent, localised census data at lower super output scale for vulnerability factors such as poverty, access to cooling facilities, age, and gender for a non-city yet highly heat risk vulnerable case study of Surrey, UK. Four major factors (poverty, elderly population, unemployed students, daily commute) were identified, creating a cumulative Heat Vulnerability Index, aiding in prioritising interventions and mapping vulnerable areas. Mapping revealed most areas had a moderate vulnerability level of 3 out of 6 for individual major factors, with cumulative scores ranging from 11 to 12 out of 20. The study emphasises the interconnectedness of vulnerability factors and highlights the applicability of the approach beyond Surrey. The demonstrated methodology provides a valuable template for vulnerability assessments in regions facing similar challenges and have its up-to-date effective heat action plan underlining the importance of tailored strategies for comprehensive heat risk management (e.g. cooling centres, transport aid, multilingual risk communication and home visits). Policymakers can utilise the insights gained to develop targeted measures for vulnerable populations and manage heat-related issues effectively on a global scale.

Transnational experience exchange between countries towards speeding up EU renewable transition: example of Norway-Croatia

Abstract The RePowerEU plan aims to increase wind energy capacity to 480 GW by 2030, with 300 GW coming from offshore wind farms, to achieve climate neutrality by 2050. Due to Croatia’s substantial dependence on nautical and coastal tourism, along with significant concerns regarding negative environmental impacts, the installation of offshore wind farms has not been previously considered. However, due to increased demand for renewables, the offshore energy potential resurfaced. The recent Action Plan for the Uptake of Offshore Renewable Energy Sources in Croatia (May 2023) estimated offshore wind potential at 25 GW and identified more than 29 000 km2 of area available for offshore renewables. Norway, with its extensive experience in offshore engineering and pioneering developments in offshore wind, is a suitable partner in joint innovation and a resource for tried and tested best practices. In this collaborative research, a review of relevant documents, research articles, and interviews with industry experts from both from Croatia and Norway was conducted to obtain a broader perspective of the implications of offshore development in Croatia. As an outcome of this preliminary research, the paper outlines the required evaluations in the Croatian context, in terms of the social, environmental, legislative, and technical aspects that are to be considered for large-scale integration of wind energy into the Croatian grid. It also identifies the necessary grid improvements to achieve a reliable and sustainable grid of the future.

Analyzing the Role of Regulation in Shaping Private Finance for Sustainability in the European Union

This paper examines the effect of the EU Action Plan on Sustainable Finance on mobilizing private finance for sustainable-purpose companies. Our results suggest that the EU regulation has substantially augmented the influx of private financial capital into companies with sustainability purposes situated in EU countries subject to the regulation. This is valid mostly for companies whose purpose addresses environmental issues, while social-oriented companies did not find significant increase of financial attractions. Our findings contribute to understanding the role of policies in facilitating the transition of private finance towards sustainable development.