The Academy of Economic Studies of Moldova (Romanian: Academia de Studii Economice a Moldovei) is a university located in Chişinău, Moldova.
The rapid expansion of renewable energy sources (RES) in Moldova has created both opportunities and challenges for the national energy system. Intermittent generation from solar and wind power leads to frequent imbalances between electricity production and consumption, resulting in inefficiencies, higher system costs, and potential risks to energy security. In this context, large-scale energy storage systems (ESS) have emerged as a critical solution to enhance the flexibility, stability, and efficiency of the energy sector. The purpose of this study is to assess the role of investments in ESS as a factor of economic growth and enterprise competitiveness in Moldova. The research focuses on evaluating how ESS integration can mitigate the volatility of renewable energy generation, reduce dependence on imported electricity, and improve energy reliability for enterprises. The study employs a comparative analysis of international experiences, combined with an assessment of Moldova’s investment potential, regulatory framework, and current barriers. Financial models, state incentives, and innovation-driven adoption strategies are also examined. The findings indicate that strategic investments in ESS can provide multiple benefits. At the enterprise level, ESS reduces energy costs, lowers exposure to price fluctuations, and increases operational resilience. At the macroeconomic level, energy storage enhances national energy security, supports the efficient utilization of RES, and contributes to Moldova’s alignment with the EU Green Deal and sustainable development goals. The study concludes that targeted ESS investments represent a significant opportunity to strengthen the competitiveness of Moldovan enterprises, stimulate innovation, and foster long-term economic resilience.
Purpose: This study explores the integration of artificial intelligence-driven business intelligence (AI-BI) within FemTech platforms to enhance personalised nutritional interventions for women. It aims to identify the key predictors of improvement in wellness outcomes based on behavioural, physiological, and algorithmic variables. Design/methodology/approach: A quantitative research design was employed, involving a sample of 217 women using a FemTech platform over an eight-week intervention period. The dependent variable was the change in self-reported wellness score. Independent variables included hormonal phase alignment, engagement level (EL), nutritional consistency (NC), sleep quality index (SQI), and AI personalisation depth (AIPD). A multiple linear regression model was utilised to examine the relationship between these predictors and wellness improvement. Findings: The results indicate that the combined predictors explain 68% of the variance in wellness outcomes. Statistically significant variables included hormonal phase alignment (β = 1.45, p = 0.014), EL (β =0.32, p = 0.005), NC (β = 0.07, p = 0.001), sleep quality (β = 0.05, p < 0.001), and AIPD (β = 0.89, p = 0.001). The findings underscore the critical role of biologically synchronised, behaviourally consistent, and algorithmically adaptive interventions in improving women's health outcomes through FemTech. Originality/value: This research presents a novel framework that bridges AI-BI and personalised nutrition within gender-specific digital health, offering practical and theoretical contributions to intelligent, feminist-informed health innovation.
This article examines the practice of accounting expertise from the perspective of methodological quality and proposes measures to increase the reliability and comparability of the conclusions drawn by experts. The research methodology combines a systematic documentary analysis of the regulatory and professional framework, a comparative analysis of regulations and practices in the Republic of Moldova and Romania, and a case study of an accounting expertise report used to map the standard report structure. The results highlight the main operational challenges: imprecise definition of the accounting expert's tasks, incomplete or delayed documentation, inconsistency of procedures between experts, absence of a materiality threshold adapted to the specific nature of the expertise, risks to independence, lack of technical review, and limited use of digital solutions. To solve these problems, the paper suggests standardizing the accounting expertise process, setting a materiality threshold, and, where it makes sense, making technical reviews a formal part of quality assurance, without limiting professional judgment. Complementary to this, it is recommended that the process be digitized through electronic registers of expert reports, secure data exchange mechanisms, and activity logging, measures designed to reduce subjective variability, increase traceability, and align accounting expertise with European quality standards. In this way, accounting expertise consolidates its evidentiary role in an increasingly complex judicial and fiscal environment.
The global economy is currently developing in the alignment with the UN’ 17 Sustainable Development Goals (SDGs), as an essential plan for strengthening economic growth in all the countries around the world. It is essential to note that these goals are largely focused on supporting and promoting human capital, which is indispensable for national economies. The link between these two major topics is very clear, in the context that in recent years major investments in human capital development are needed, and the SDGs can successfully support this aspect. On the other way, without developed, smart, and professionally skilled human capital, cannot be registered economic progress, advanced industries, quality education, or efficient healthcare, which are all part of the 17 SDGs. The study explores the interrelated and interdependent relationship between human capital and SDGs, which would help identify solutions for economic growth and prosperity in countries around the world. The focus will be on the main SDGs such as: Economic Growth and Poverty Reduction (SDGs 1, 8, 9), referring to a skilled and healthy workforce that can increase productivity, innovation and income, which are essential for economic growth and reducing poverty; Health and Well-being (SDG 3), where investments in education and health improve health outcomes and life expectancy; Quality Education (SDG 4), which emphasizes quality education and lifelong learning as fundamental building blocks for national development; Reduced Inequality (SDG 5, 10), which involves developing human capital, particularly through education and employment opportunities, which helps reduce gender and economic inequalities. The findings indicate that the synergy between all SDGs allows for better alignment between global goals, priorities, and local needs. This ensures that actions taken at the national or local level contribute effectively to the global sustainable development agenda, stimulating effective global cooperation that helps maintain world peace and prosperity.
The article analyzes how Moldova’s exports have been affected by the regional instability caused by the conflict in Ukraine. As well as the macroeconomic challenges of the global economy, the volatility of international prices, the fragmentation of supply chains and inflationary pressures, (focus on the year 2020-2024). This study pursued three directions: the analysis of the value and structural development of exports, changes in the geographical structure and the assessment of the economy’s ability to adapt to external impacts. The research comprises both quantitative and qualitative evaluation indicators, such as the Export Diversification Index – to determine structural change in exports, the Herfindahl-Hirschman Index (HHI) – to measure export market concentration and systemic vulnerability external shocks (logistical bottlenecks, fluctuations in global demand). Data sources such as the National Bureau of Statistics, UNCTADstat, the World Bank and Trade Map were used. The result shows a dependence on traditional markets and low value-added products. The situation increases the vulnerability of exports to external shocks. However, some progress has been seen in recent years – notably in diversifying the processed agri-food sector and expanding trade. Even so, the low level of the diversification index and the high values of HHI show that structural imbalances remain strong. That is why we need trade policies that are resilient and much more flexible. In the new global context, Moldova has only to gain if it rethinks its export promotion model. A focus on smarter integration into international value chains, better resilience to disruption and diversification could turn exports into an engine of sustainable growth.