RSES - NIER

Institutional Repository of National Institute for Economic Research

Welcome to the platform of the open repository in the field of economic and social research of the National Institute of Economic Research from Republic of Moldova.

The repository is a digital archive and offers users open access to publications with full text for scientific, educational and methodological purposes. The materials placed in the collections are allowed to be used exclusively non-profit, with the compulsory indication of the author of the work and hyperlinks at this archive.

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    Sustainability of the agricultural sector of the Republic of Moldova: public support to combat the effects of climate change
    (2025) Lucasenco, Eugenia; Ceban, Alexandru
    The agricultural sector of the Republic of Moldova represents a significant element of the national economy. It has an important contribution to the GDP formation, provision with employment of rural population and ensuring food security. Nevertheless, it faces severe threats as a result of the effects of climate change, which include droughts, late frosts, floods and degradation of soil area. This chapter studies the agricultural sector’s sustainability in the framework of these challenges, emphasizing the role and contribution of public support as a key policy tool for adaptation and mitigation. Based on the analysis of quantitative and qualitative data from the period of 2014–2024, there is provided an overview of the structural aspects of the sector, production trends, foreign trade, and main challenges that it faces, together with the analysis of climate current trends such as increasing temperatures and declining in the quantity of precipitation. The present analysis aims to integrate agricultural, economic and environmental aspects, as well as public policy, through the evaluation of the effectiveness of specific subsidies in the field of promotion of climate resilient practices like irrigation systems, support and anti-hail equipment, organic farming, conservative agriculture and risk insurance. The chapter also reflects the review of the national legal framework on climate change and agricultural sector, including the alignment with EU CAP standards, and presents responsibilities and attributions of institutions in the field. Analysis of subsidy allocations for environmental aspects reveals oscillating, but increasing support for environmental measures. The conclusions express the need for enhanced policy integration and monitoring in order to boost the resilience of the agricultural sector, providing empirical evidence and recommendations to support the development of a sustainable sector in the context of climate effects and vulnerabilities that it causes.
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    Artificial intelligence in smart cities: success stories for resilient futures
    (2025) Iordachi, Victoria; Timofei, Olga; Perciun, Rodica
    The rapid development of digital technologies and artificial intelligence (AI) is reshaping how cities are governed and how they respond to the challenges of sustainability, urbanization, and resilience. This chapter, “Artificial Intelligence in Smart Cities: Success Stories for Resilient Futures”, explores the contribution of AI applications to building smarter, more adaptive, and more inclusive urban systems. By examining success stories from Singapore, New York, Barcelona, and Tokyo, it highlights concrete practices that demonstrate how AI strengthens resilience and improves the quality of life for citizens. The selected case studies show how AI has been used to address pressing urban issues: Singapore has pioneered intelligent traffic management and e-governance; New York has applied AI to environmental monitoring and urban safety; Barcelona has advanced citizen participation and digital inclusion; and Tokyo has focused on mobility solutions and disaster resilience. Together, these experiences reveal that AI is not only a tool for technological modernization but also a driver of socio-economic resilience. Methodologically, the chapter is based on a qualitative review of literature, policy frameworks, and documented urban practices. Comparative analysis of the four cities allows for the extraction of lessons and identification of common patterns that can inspire other municipalities worldwide. The findings emphasize the importance of investing in digital infrastructure, training for public administrators, and building partnerships across government, business, and communities. They also underline the need for ethical guidelines, robust data governance, and inclusive policies to avoid risks such as bias, privacy concerns, or digital exclusion. Ultimately, the chapter argues that the success of smart cities lies not only in adopting advanced technologies but in shaping resilient futures where innovation serves sustainability, inclusivity, and human well-being.
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    Contemporary paradigms in organizational resilience assessment: between conceptualization and operationalization
    (2025) Sargu, Lilia
    The concept of organizational resilience has experienced a significant expansion in the international literature, becoming an essential tool for analysis in contexts characterized by uncertainty and volatility. The study starts from a critical analysis of the fundamental dimensions of resilience such as: absorptive, adaptive and transformative capacities and argues for the need to measure them through concrete indicators. The main international methodological contributions are reviewed (RIMA-II, Sendai Framework, OECD Resilience Systems Analysis), highlighting both their usefulness and their limits in relation to the specifics of organizations. The article proposes an integrated matrix of resilience indicators, differentiating between general indicators (institutional, economic, social) and specific indicators (access to health, community participation, risk education). The emphasis is placed on the practical relevance of measuring resilience for sustainable development and on substantiating strategic decisions in public and private organizations. The added value of participatory approaches and disaggregated data in evaluation processes is emphasized. The paper includes a description of methodological challenges, such as indicator selection, data collection, and adaptability to change. These are discussed alongside solutions offered by recent literature. The article provides a systemic and applied view on how resilience can be effectively measured, monitored, and strengthened. Finally, the research argues that integrating resilience into decision-making processes is an essential condition for the survival and adaptability of organizations in the 21st century.
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    Evaluarea impactului impozitelor asupra evoluției întreprinderilor mici și mijlocii din Moldova
    (Presa Universitară Clujeană, 2025) Gutium, Tatiana
    Taxes are essential for the state, and according to Article 58 of the Constitution of Moldova, all citizens are required to pay taxes to support the state and replenish the state budget financially. However, too much of a tax burden hinders business development. The study's subject is the development of small and medium-sized businesses. Research on small and medium-sized enterprises' activities is crucial in Moldova's case since they constitute 99.2% of all enterprises (2023). They form the core of the real sector, create jobs, and support the country’s budget with taxes. The study's primary goal is to assess the impact of taxes on the development of SMEs. This article analyzes the main trends of SMEs and assesses development prospects considering the current tax system. Also, proposals were developed regarding increasing the fairness of the tax system.
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    Cercetarea metodelor de evaluare a managementului riscurilor în cadrul serviciului vamal bazate pe analiza a big data
    (Presa Universitară Clujeană, 2025) Gutium, Mircea
    In the digital age, the abundance of data presents new avenues for risk assessment in various sectors. This article delves into risk assessment methods within the Customs Service that leverage big data analytics, aiming to provide a more comprehensive understanding of risks. It reviews machine learning techniques, predictive analytics algorithms, and neural network models, highlighting their strengths and limitations. The study also addresses the ethical aspects and challenges related to the confidentiality of commercial or personal data and the influence of these technologies on decision-making. The findings underscore the necessity for robust regulatory frameworks and transparent practices to harness the benefits of big data analytics in Customs risk management while safeguarding business-critical data.