Social Indicators Research Articles

Enhancing drought resilience and vulnerability assessment in small farms: A global expert survey on multidimensional indicators

The purpose of the paper is to evaluate drought vulnerability and resilience within the context of small-scale farms. Small-scale farms are distinguished by their family-oriented motives, which prioritize maintaining the stability of the household farm system. This type of farming is responsible for a significant part of the world's food production, thus identifying their vulnerability and resilience to drought is essential to avoid adverse socioeconomic impacts. The paper contributes to this issue by presenting the findings of a comprehensive global survey conducted among experts on drought risk analysis, focusing on indicators related to drought resilience and vulnerability in small-scale farming. An online questionnaire was sent to experts asking them to rate a list of 36 indicators in terms of five metrics: relevancy, accessibility, objectivity, understanding, and temporal consistency. Each indicator was rated on a three-point scale (low, medium, and high). The survey was entirely completed by 120 experts from 42 countries and different areas of expertise. The survey results offer a comprehensive evaluation of multiple indicators, contributing to future research by guiding the selection of indicators for composite drought resilience indexes and enhancing the understanding of farmers' and food systems' climate resilience. The survey results indicate that: i) government and institutional indicators are very relevant for drought resilience assessment; ii) there is an undefined role for social indicators in drought vulnerability assessment; iii) experts still do not perceive the importance of local engagement in drought risk management; iv) the use of relevant indicators in drought risk assessment can be limited because of a lack of accessibility and temporal consistency.

EMPIRICAL EVALUATION OF SUSTAINABLE AGRICULTURAL MANAGEMENT IN SOUTHEAST EUROPEAN COUNTRIES USING PANEL DATA ANALYSIS

The purpose of this article is to assess the agricultural development of ten Southeast European (SEE) countries from the aspect of key environmental, economic and social indicators of agricultural sustainability management from 2011 to 2020. The article uses a Cross-section panel data Fixed Effects Model to identify relations between agricultural development in SEE countries and mentioned indicators of sustainable agricultural development management. The common sample of all SEE countries shows the economic sustainability, but also the environmental and social unsustainability of their agricultural systems. At a disaggregated level, the subsample of European Union (EU) membership candidate countries also yields the same findings. In contrast, the subsample of EU member states indicates all three dimensions of sustainability, with the exception of the aspect of using renewables. Therefore, both groups of countries should use renewables more intensively in order to contribute to the promotion of their efficient, sovereign and sustainable agricultural growth.

Multi-Dimensional Decomposition, Measurement, and Governance Mechanism of Relative Poverty in Chinese Households under the Goal of Common Prosperity: Empirical Analysis Based on CFPS2020 Data

From the perspective of household productivity, this paper analyzes the capital composition of the household and the formation mechanism of relative poverty. Based on the CFPS data in 2020, it uses the Alkire–Foster (AF) index to measure the breadth and depth of relative poverty in different regions and puts forward its governance mechanism. The results show that there are significant differences between urban and rural areas and among different regions. The relative poverty incidence rate is mainly concentrated in four indicators, accounting for 30.8% of the total number of indicators. From high to low, the incidences of relative poverty in a single dimension include financial assets, livelihood assets, health, and employment levels. The breadth is mainly reflected in economic capital, health, employment, and education level. The depth is reflected in financial assets, health level, and social network indicators. Except for the social capital dimension, the poverty in rural areas is higher than urban areas, and the central and western regions are higher than the eastern regions, showing a distinct characteristic of imbalanced urban–rural and regional development. This paper proposes the relative poverty governance mechanism of households’ capital accumulation, urban–rural integrated development and regional coordinated development.

Effects of peer victimization on cortical processing of social-evaluative stress in patients with major depressive disorder.

Peer victimization contributes to the development of major depressive disorders (MDDs). While previous studies reported differentiated peripheral physiological responses in peer-victimized individuals with depression, little is known about potential alterations of cortical event-related potentials (ERPs) in response to social stimuli in depressive patients with a history of peer victimization. Using a social condition paradigm, the present study examined whether peer victimization alters conditioned cortical responses to potentially threatening social stimuli in MDD patients and healthy controls. In the task, we studied ERPs to conditioned stimuli (CSs), i.e. still images of faces, that were coupled to unconditioned socially negative and neutral evaluative video statements. Peer victimization was related to more pronounced P100 amplitudes in reaction to negative and neutral CSs. Attenuated P200 amplitudes in peer-victimized individuals were found in response to negative CSs. Cortical responses to CSs were not influenced by a diagnosis of MDD. The results suggest altered responsiveness to interpersonal information in peer-victimized individuals. Facilitated early processing of social threat indicators may prevent peer-victimized individuals from adaptive responses to social cues, increasing their vulnerability for depression.

Analytical study of entrepreneurship state in Russia

The purpose of the study is to provide a comprehensive analytical overview of small and medium-sized enterprises (hereinafter – SMEs) state in Russia. The main part is divided into four subsections and shows SMEs development trends, analysis of small business by industries and a comparative review of sociological surveys among entrepreneurs. The paper concludes by identifying the institutional factors that determine the level of entrepreneurial activity by Russian regions and compiling regression models. The share of SMEs in the country’s economy remains low and the number of entities tends to decrease, while the population’s desire to engage in entrepreneurship is also decreasing. An analysis of activity by sector shows that most SMEs operate in the service sector and larger enterprises prefer to operate in more basic sectors of the economy, while most markets are dominated by large businesses. A sociological surveys comparative analysis allowed us to draw an average portrait of entrepreneurs; the data from the surveys generally converge with official statistics. An extremely high variability in the level of entrepreneurial activity across Russian regions has been shown. For this reason, more than two dozen regional social and economic indicators have been selected and correlation analysis carried out. Regression models of entrepreneurial activity have been compiled on the basis of these indicators.

Gender-specific analysis of social connection patterns and risk of dementia in community-dwelling older people.

Poor social connection is considered a risk factor for dementia. Since socializing behaviors may cluster together or act compensatorily, we aimed to investigate social connection patterns and their association with dementia, for men and women separately. A total of 12,896 community-dwelling older adults (mean±SD age: 75.2±4.3 years, 54% women) without major cognitive impairment were included. Latent class analysis was conducted using 24 baseline social connection indicators. Cox proportional hazards regression was used to estimate the association between latent classes and incident dementia over 12 (median: 8.4) years follow-up. Three distinct classes were identified in both genders: strong social connections with an intermediate friend-relative network (Class 1: men, 43.8%; women, 37.9%), weak social connections (Class 2: men, 29.6%; women, 27.4%), and strong social connections with a larger friend-relative network (Class 3: men, 26.6%; women, 34.7%). Compared to Class 1, men in Class 2 (HR: 1.38, 95% CI: 1.08-1.77) and women in Class 3 (HR: 1.27, 95% CI: 1.01-1.60) had an increased risk of dementia. Dementia risk varies with different social connection patterns among older men and women. Three distinct social connection patterns were identified based on 24 indicators. These patterns were related to dementia risk differently in men and women. In men, a weak social connection pattern was associated with a higher dementia risk. In women, a strong social connection with a relatively larger friend-relative network was associated with a greater dementia risk.

Wind turbine end-of-life options based on the UN Sustainable Development Goals (SDGs)

The installed wind power capacity is rapidly growing worldwide, and large volumes of waste materials would need to be treated due to the decommissioning of wind turbine systems in the next years. The purpose of the present work is to evaluate the sustainability performance of decommissioning options for wind turbines and suggest policies to improve the sustainability of the wind turbine end-of-life phase by jointly applying Life Cycle Assessment (LCA) and Data Envelopment Analysis (DEA) methodologies. Unlike most of the relevant literature, which focuses mainly on technical aspects of wind turbine decommissioning, the proposed approach considers all three dimensions of sustainability using Sustainable Development Goals (SDGs) as a guide to identify economic, environmental, and social indicators. The methodology is applied to a representative case study of a wind turbine operating in the Greek territory using real data. Repurposing was found to be the most sustainable end-of-life alternative for composite waste. In contrast, the waste treatment option of the foundation concrete contributes substantially to the sustainability performance of the examined scenario. The sustainability performance of these technologies could be enhanced by the operation of dedicated concrete and composite materials recycling facilities close to wind parks, following cross-sectoral approaches. The results also indicate that the social aspects of the sustainability framework are equally important and should be considered when strategies towards more sustainable waste management of wind turbine systems are designed.

Social Capital & Enrollment in College as First-Generation Students

Young adults face major decisions as they complete high school, including whether to attend college. The steps needed to enroll in college can be extra challenging for first-generation students who may have limited support and resources at home or while in high school. This study explores structural, relational, and cognitive social capital indicators that enrolled college students used to support themselves in their decision to attend college. Comparisons are made between first-generation and continuing-generation students’ social capital. Ideas for areas where resources could be added or expanded to increase social capital for first-generation students are discussed.

Holistic analysis of cropping diversity and intensity implications for productive, environmental, and nutritional performance of smallholder farms in Bihar, India

The agricultural productivity and sustainability in Eastern Gangetic Plain Zones of India are threatened because of the inefficiency of current production practices, shortage of resources, and socioeconomic constraints. We hypothesized the potential impact of intensified cereal systems with mung bean as a third crop within the annual cropping cycle. We assessed economic, social, and environmental indicators for intensified and current cropping system management practiced by different farm types in the region using the FarmDESIGN model. Building on a farm typology constructed for the region in our past research, we used five types of farmers: part-time (PT), well-endowed (WE), small-scale (SS) crop and livestock mix, medium-scale (MS), and resource-poor farmers (RP) in this study. The performance indicators of the 229 original cropping systems cultivated within the 43 farms varied strongly in the eight performance indicators. This variability of cropping systems performance within the farm types resulted in the absence of significant differences between the types. Compared to the original cropping systems, the intensified cropping systems with mung bean not only performed high in dietary energy (DE) production and organic matter (OM) inputs into the soil but also had high application rates of biocides and minimized losses of nitrogen (N). The intervention systems were low in labor requirement and scored at an intermediate level for crop gross margin, water use, and greenhouse gas (GHG) emissions. The ranges of areas of maize- and rice-based systems that could be replaced by intensified systems were largest for the WE and RP farm types. This was reflected in large ranges of change in the performance indicators, but no significant differences in response were found between the farm types. The intensification of maize- and rice-based systems with the proposed intervention cropping systems involving mung bean would result in increased profitability, higher DE yield, and lower requirements for labor and water as the proportion of the farms being converted increases. However, the use of biocides would increase, while the intervention cropping systems would have no significant effect on OM input, GHG emissions, and soil N losses.

The Impact of Mental Models on the Transition from Communism to Capitalism. The Comparative Case Study of Azerbaijan and Poland

The purpose of the article. The breakdown of the so-called Eastern Bloc, the disintegration of the Soviet Union, and the demise of communism fueled transition processes in Central and Eastern Europe, Western Asia, and Central Asia. The great majority of transformation difficulties across different areas demonstrate that when pursuing the process of a structural change, it is important to take into account diverse sets of formal and informal institutions preserved in each country. Each country has a unique set of formal and informal institutions. These differences are easily observed between Poland and Azerbaijan. The aim of this paper is to compare and contrast the outcomes of Poland and Azerbaijan's transitions from communism to capitalism and to identify the primary factors driving these two different transformations. Methodology. The paper presents two complementary methods to compare the transitions from communism to capitalism in Poland and Azerbaijan. The first method involves secondary analysis, where existing data from reputable sources such as the European Bank for Reconstruction and Development (EBRD) database, the Bertelsmann Transformation Index (BTI), and country reports are compiled to provide insights into economic, political, and social indicators. Additionally, a comparative case study approach is employed, using Geert Hofstede's six cultural dimensions framework to explore the cultural influences on transition outcomes. By integrating these methods, the study aims to offer a comprehensive analysis of the transformation processes in Poland and Azerbaijan. Results of the research. The results of the analysis presented in the paper support the hypothesis that the historically-shaped differences in mental models and strong ties to international protectors determined the paths of transformations in Poland and Azerbaijan. The primary similarities and contrasts in the mindset are justified by the colonial or imperial history of the nations.

Social Value Trends in Construction Research: A Bibliometric Review of the Past Decade

This study explores the current landscape of social value (SV) research in the construction industry, analyzing global trends and identifying future research directions. Using bibliometric analysis, research published in Elsevier Scopus database from 2013 to 2023 was extracted using the keywords “social value” AND “construction industry.” The results indicate fluctuating but growing interest in the subject area of social value in construction research over the past decade with 2020 recording the highest number of publications. Our findings show a focus on social value indicators, socioeconomic impacts, project management, innovative practices, and cross-sector collaborations. Additionally, there is a strong tendency in social value (SV) research in the construction sector to favor the social procurement and measurement of social value variables in construction projects. This study contributes to the academic literature by examining the research focuses and identifying the trends in social value research within the construction sector over the previous ten years, as well as by emphasizing new knowledge areas. It suggests the need for guidelines for the integration in construction processes in both developing and developed countries and advocates for further research on social value in the built environment. The study also reveals a lack of attention to social value (SV) in African countries’ construction sectors. Additionally, it calls for innovative strategies to be employed for the creation of social value in the sector globally.

COVID-19 Stress and Cognitive Disparities in Black, MENA, and White Older Adults.

Population aging has led to an increased interest in cognitive health and, in particular, the role that stress plays in cognitive disparities. This paper extends previous work by characterizing coronavirus disease 2019 (COVID-19) stress type prevalence and its association with cognitive health in metro-Detroit among Black, Middle Eastern/Arab (MENA), and White older adults. Data come from a regionally representative sample of adults aged 65+ in metro-Detroit (N = 600; MENA n = 199; Black n = 205; White n = 196). We used generalized linear models to compare groups on sociodemographic, objective stress, and social stress indicators. Multiple group structural equation models evaluated whether COVID-19 stress predicted cognitive health and whether that association varied across racial/ethnic groups. MENA and Black older adults reported higher levels of objective stress than Whites. There were no racial/ethnic group differences in social stress. More objective stress was associated with better cognitive health, and more social stress was associated with worse cognitive health. The positive effect of objective stress was especially apparent for White older adults. Though it appears that minority stress was not exacerbated in the context of pandemic stress, links between greater objective stress and better cognitive health apparent among White older adults were not evident among MENA or Black older adults. Broadening health disparities research by including underrepresented populations allows us to elevate scientific knowledge by clarifying what is universal and what is unique about the stress process.

Geotech social impacts: Development, application, and comparative analysis

Sustainability in geotechnical engineering has been examined in academic research, particularly from an environmental viewpoint. However, the social perspective has not received the same attention. This paper proposes a new tool (Geotech Social Impacts), which advances in this area and addresses some of the limitations of the few existing studies focused on social pillar. The rationale and design for this tool (which combines social life cycle assessment and a questionnaire to evaluate ten social indicators) is presented followed by its application in a soil stabilization case comparing traditional and a more sustainable binders for pavement base. The alkali-activated waste-binder showed a higher positive social score (5.9) than Portland cement (3.8). Workers and Society are categories of key importance, and Average wage and Contribution of the service/product to economic progress are the key indicators creating positive impacts for both binders. On the other hand, Employment of Women is responsible for the major negative impacts. A detailed appraisal of existing studies and tools focused on the social pillar (including the new one proposed here) based on a number of criteria was also carried out. Geotech Social Impacts advances the existing literature by entailing: (i) a hierarchical structure for assessment, (ii) an appraisal of social impacts through contextualized and sector-specific response, and (iii) an infographic presentation of data, enabling aggregated and disaggregated results to be easily visualized at once. This study provides a practical application of the proposed tool, which advances in the assessment of social impacts in geotechnical engineering. Its visual presentation creates a dashboard informing and supporting the decision-making process for projects in this field.

Understanding uptake in demand-side broadband subsidy programs: The affordable connectivity program case

The Affordable Connectivity Program (ACP) represents a historic investment by the federal government to address the digital divide. Its goals are both to increase the rate of broadband adoption and make it easier for low-income households to sustain service. But what have been the drivers of ACP enrollment? We know a great deal about trends in adoption and the geography of enrollment among eligible households. But those metrics – especially a focus on enrollment rates among eligible households – are only so useful in explaining ACP sign-ups.This invites analysis that investigates the drivers of ACP enrollment in a comprehensive way, which this paper proposes to do. The paper hypothesizes that ACP enrollment decisions are not solely individual (i.e., that a household's enrollment decision is structured only by income level), but also influenced by community-wide considerations, such as housing costs, share of occupied houses, presence of anchor institutions such as public libraries, and population density (i.e., whether a place is urban or rural). The paper develops a regression model that predicts ACP enrollment rates among eligible households at the 5-digit zip code geography as a function of the variables discussed above, as well as others such as the racial and ethnic make-up of a zip code area. The analysis also controls for existing levels of broadband subscriptions and computer ownership in a given area. The difference between predicted and actual ACP enrollment rates at the 5-digit zip code level is proposed as a metric of ACP performance. These findings are supplemented with a geographically weighted regression (GWR) model that allows the relationship between each explanatory variable and ACP enrollment to vary by locality. This allows for analyzing and visualizing how these relationships vary across space.The empirical findings show that high levels of economic distress are a strong determinant of ACP enrollment in a given area, but social and community-wide indicators are important as well. The GWR results demonstrate that important differences in these relationships exist across geographies. Understanding spatial variations in ACP performance can help policymakers and other stakeholders better target resources to address the digital divide.

Economic, social and institutional determinants of FDI inflows: A comparative analysis of developed and developing economies

This paper investigates the determinants of Foreign Direct Investment (FDI) inflows by classifying determinants into economic, social, and institutional categories, and examines its linkage between FDI in developed and developing economies at an aggregate level. Countries are distinguished in accordance with country income level, and each category is constructed as a composite index by utilizing the Principal Component Analysis (PCA) method. Using annual data from 1996 to 2019 and panel data approaches, the determinants of FDI are investigated for 178 countries. Main findings are, first, developing economies are largely dependent on economic indicators to attract FDI. Second, in the case of developed economies, the role of social indicators on FDI inflows is shown relatively more significant than economic indicators. Finally, the linkage between institutional indicators and FDI inflows is weak and statistically insignificant in both developed and developing economies.

Towards Enhancing Place Attachment in Urban Spaces of Vertical Residential Complexes (Bismayah as a Case Study)

The place is a refuge for humans and human activities and interactions. Humans give value and meaning to a place through interaction with it and attachment to it. Positive feelings towards the place and its tangible appearance are place attachment, the most important dimension in the reciprocal relationship between humans and the place that urban designers must pay attention to. As a result of urban growth and the housing crisis, open spaces have lost their value and importance, especially in urban areas in vertical residential complexes. Therefore, the research paper aimed to evaluate the effect of the social and physical aspects of open spaces in vertical residential complexes on enhancing place attachment. This theoretical and practical research relies on literary and library studies and a mixed research strategy. The research used a common methodology by discussing previous literature and extracting the main vocabulary to build the conceptual framework for each. First, the social aspects are represented by demographic and psychological factors and social activities and interactions. Secondly, the material aspects are described by formal and functional characteristics. In the practical part, a field survey was conducted. The questionnaires (150 questionnaires) were distributed using a random method at the selected case study site (Bismayah Residential Complex).The results were analysed to determine the most influential factors based on their priority in enhancing attachment to a place. Thus, the research reached the most prominent indicators that contribute to developing an attachment to a place. with regard to the social aspect Indicators of length of stay, protection and safety, and social activities and interactions had the greatest impact on developing feelings of attachment to a place. This was followed, in varying proportions, by indicators of housing ownership, comfort and tranquility, and cohesion and social communication among the residents of the complex. As for the physical aspect, the indicators of enclosure and accessibility had the largest role, followed by the indicators of dependence on place and visual richness. And arriving at the indicators with the least impact on stimulating residents' feelings towards the place in the social and physical aspects, such as privacy, social homogeneity, clarity, and the human scale.

Challenges for the development of sustainable SMEs in the cement industry: a SWARA–WASPAS approach

Purpose This study aims to examine the obstacles and approaches to achieving sustainable development in India’s cement solid and hollow brick production business, with a specific emphasis on incorporating the triple bottom line (TBL) concept into strategies for small and medium-sized enterprises (SMEs). Design/methodology/approach Using the step-wise weight assessment ratio analysis (SWARA)–weighted aggregated sum product assessment (WASPAS) approach, the study prioritized 11 economic, 9 environmental and 14 social sustainability indicators based on information collected from literature and expert opinions. Findings The study provides valuable insights into the difficulties encountered by SMEs while implementing strategies that focus on the TBL. By putting emphasis on the sustainability criteria, the key areas that require attention to promote sustainability get identified and addressed. Research limitations/implications The study’s focus on SMEs in this industry limits its generalizability. To have a more complete picture, future studies may include many areas. Practical implications The identified and prioritised sustainability characteristics help small and medium-sized firms (SMEs) design strategies to address sustainable development concerns. The research findings could also inform policymakers and regulatory bodies about the challenges faced by SMEs in the cement and brick production sector regarding sustainability. It could highlight the need for supportive policies and regulations to promote sustainable practices and incentivize SMEs to adopt the TBL approach. The paper can offer practical insights for SME owners and managers on integrating sustainability principles into their business strategies. Actionable recommendations and best practices for enhancing environmental performance, social impact and economic viability within the context of cement and brick production are outlined. Social implications TBL policies improve the sustainability and profitability of small and medium-sized firms (SMEs) and promote environmentally and socially responsible practices that benefit the industry and society. The research paper may facilitate greater engagement and collaboration among various stakeholders involved in the cement and brick production industry, including SMEs, larger corporations, government agencies, non-governmental organizations (NGOs) and local communities. This cooperative approach can encourage open communication, the establishment of trust and coordinated actions to tackle sustainability challenges, ultimately improving social cohesion and collaboration. Originality/value This study provides new and valuable insights by investigating the development of TBL strategies in SMEs in the cement solid and hollow brick manufacturing sector in India. The utilization of the SWARA–WASPAS technique brings novelty to research on sustainable development in this field.

Family migration and well-being of Chinese migrant workers’ children

This article aims to explore the effects of parental migration on the well-being of children and how to adjust social cognitive well-being through the interrelations among family relations and social cognitive well-being indicators using structural equation modelling. Two modified social cognitive well-being models were tested in 1682 Chinese migrant workers' children to examine the pathways among social cognitive well-being and family relation characteristics. The modified models are based on the social cognitive well-being model and the characteristics of Chinese migrant workers' children. The results show that caregiver-child communication frequency, caregiver-child regulation, caregiver-child conflicts, caregiver-child trust and communication, and coactivity positively impact children’s social cognitive well-being. In contrast, caregiver-child alienation negatively influences children’s social cognitive factors through caregiver-child trust and communication. Additionally, this research revealed that family-related characteristics (caregiver-child regulation, caregiver-child coactivities, caregiver-child communication frequency, caregiver-child alienation, caregiver-child conflicts, and caregiver-child trust and communication) are interconnected with social cognitive well-being indicators (academic satisfaction, outcome expectations, goal progress, lifelong satisfaction, environmental support, positive affect, negative affect, and self-efficacy). This suggests that family migration and relationships with caregiver(s) can significantly affect the well-being of migrant workers' children.

A sustainability assessment modeling-based external account of the impacts of mining activities in Brazil

PurposeThis study aims to propose and apply a sustainability assessment model (SAM) for the mineral extraction industry developed on the basis of elements of dialogic accounting.Design/methodology/approachDistinct from other similar exercises, ours is also one in external accounting that focuses on a set of mining companies operating in a specific geographical location. It was undertaken based on different perspectives from various stakeholders, including mining workers and city dwellers, retrospectively, using publicly available information, entirely independently of the set of companies regarding which impacts the authors try to offer an account and without their approval. Twenty indicators were identified from the perspective of value for society.FindingsThe results for all environmental externalities appeared to be negative, as companies’ attitudes continue to be reactive and on the threshold of legal requirements. This assessment of the selected social indicators emphasizes that accelerated expansion of mining activities poses a threat to the mining area in the long term, as it reduces the useful lives of mineral deposits and expands social and environmental externalities.Practical implicationsThe authors propose to expand the horizon of accounting through a framework that combines elements of the SAM technology, dialogic accounting and external accounting. This investigation contributes to the development of social and environmental accounting practices through the discussion, proposal and use of an SAM, built with the cooperation of several social actors and from the perspective of the other rather than the entity.Social implicationsThe authors tried to show how an SAM approach can be used in combination with dialogic accounting processes, increasing the accountability and awareness of the different groups of stakeholders, focusing on marginalized stakeholders, to offer an external account of the impacts of a set of companies from the mining sector operating in a specific geographical area.Originality/valueThis study’s findings suggest there are opportunities for accountants to support social and environmental accounting, thereby contributing to community awareness and empowering transformative action.

Experimental Evaluation of Most Sustainable Companies: Impact on Economic Growth, Return on Equity (ROE) and Methodological Comparison

Abstract Research purpose. The study aims to analyse, how the sustainable performance of the company impacts the economy and businesses' economic performance, and to build a model, using environmental, social, and financial indicators. Design / Methodology / Approach. To achieve this goal such methods as the Pearson correlation, Multiple Linear Regression, Cook's distance method, K-nearest neighbour and COPRAS technique were implemented. Findings. The results indicate no significant correlation between the sustainability activities of companies and the GDP of their respective countries, nor between companies' ROE and their sustainability performance. These findings suggest that conventional methods of evaluating corporate sustainability may not accurately reflect its economic impacts. Furthermore, discrepancies observed between the Corporate Knights rankings and those calculated using the COPRAS method highlight the critical need for a deeper examination of assessment methodologies. This outcome calls for a reassessment of sustainability practices and methodologies to better understand and leverage their benefits in the corporate and economic realms. While the study provides initial insights into the current sustainability assessments, further research should explore alternative evaluative models and their implications across different industries. Originality / Value / Practical implications. Companies have a significant impact on the environment and society, and sustainability is important not only for ethical concerns but also for financial and economic reasons.