This study presents an in-depth analysis of the selection process for primary sectors impacting the economic activity in Romania, employing an interval-valued fuzzy (IVF) approach combined with multi-criteria decision-making (MCDM) methodologies. This research aims to identify eight key criteria influencing the selection of Romanian primary sectors, including technology adaptation, infrastructure development and investment, gross domestic product (GDP), sustainability, employment generation, market demand, risk management and government policies. The current analysis evaluates eight primary sector performances against these eight criteria through the application of three MCDM methods, namely, Simple Additive Weighting (SAW), Weighted Product Model (WPM), and Weighted Aggregated Sum Product Assessment (WASPAS). Ten economic experts comprising a committee have been invited to provide their views on the criteria’s importance and the alternatives’ performance. Based on the decision-maker’s qualitative judgement, GDP acquires the highest weightage, followed by environmental impact and sustainability, thus indicating the most critical factors among the group. The IVF-MCDM hybrid model indicates the energy sector as Romanian primary sector with the most potential, followed by the agriculture and forestry sector among the list of eight alternatives. It also explores the robustness of results by considering sensitivity analysis and the potential impacts of political and international factors, such as pandemics or armed conflicts, on sector selection. The findings indicate consistency in sector rankings across the different methodologies employed, underscoring the importance of methodological choice and criteria weighting. Additionally, this study sheds light on the potential influence of political and international dynamics on sector prioritization, emphasizing the need for comprehensive decision-making frameworks in economic planning processes.

This study investigates how Environmental, Social, and Governance (ESG) performance is shaped across 31 countries in the European Union (EU) and the Association of Southeast Asian Nations (ASEAN) from 1990 to 2020. To explore these relationships, we employed the Continuously Updated Generalized Method of Moments (CUE-GMM) and the Limited Information Maximum Likelihood (LIML), with additional robustness checks using Instrumental Variables Two-Stage Least Squares (IV-2SLS), Panel-Corrected Standard Errors (PCSE), and Driscoll-Kraay regressions. The results highlight democratic governance as a consistent driver of ESG advancement. Military expenditure can also support sustainability by reinforcing institutional stability, particularly in developing and upper-middle-income countries. Economic factors such as foreign direct investment, industrialization, and human capital show context-dependent effects, whereas globalization and natural resource rents generally enhance ESG performance, and inflation tends to constrain it. Overall, the findings underscore the importance of tailored, context-specific sustainability policies, showing that effective ESG progress depends on the interaction between institutions, economic structures, and global integration.