Green Cluster Research Articles

Corruption prevention in organizational clustering in Indonesia: through the role of the HU-model in detecting corruption

PurposeThis paper aims to test the effectiveness of the Haryono Umar (HU)-model used in corruption prevention strategies through corruption detection as a tool for detecting corruption because the mode of corruption is increasingly dynamic and complex by focusing on the causes of corruption: pressure, opportunity, rationalization, capability and lack of integrity.Design/methodology/approachThe research uses multiple regression methods, classification and regression trees and the HU-model application system developed by researchers. The research sample uses secondary data from financial reports on the Indonesia stock exchange according to organizational clustering (such as red, grey and green areas).FindingsThe research result showed that of the 470 sample companies, there were 445 companies, or 98.9%, in the red cluster (indicated corruption), 19 companies, or 4.04, in the green clusters or not indicated corruption and six companies, or 1.28%, were included in the grey cluster or potential corruption. By knowing the cluster of an organization, efforts to prevent corruption can be made effective and efficient. Implementing the HU-model proves that the amount of pressure, the abundance of opportunities, the ease of rationalization and the high level of position and authority strengthen the drive for corruption if there is a lack of integrity.Research limitations/implicationsEach internal organization can use this model independently and find conditions related to corruption so that they can immediately take action to prevent it.Originality/valueThe application of the HU-model is a discovery in preventing corruption by focusing on the possibility of corruption occurring in each organization through organizational clustering.

Identifying pollinator‐friendly sites within urban green spaces for sustainable urban agriculture

AbstractIntroductionThe relentless urban expansion has led to the depletion of forests and agricultural lands. Yet, pinpointing viable zones for urban agriculture, particularly concerning pollinator presence, remains a formidable task for city planners.Materials and MethodsOur study introduces a novel methodology to identify optimal locations for cultivating pollinator‐dependent crops. Leveraging species distribution models (SDMs), we generated habitat suitability maps for 243 pollinating insects, including bees (41 species), butterflies (140 species), and hoverflies (62 species) across South Korea. Subsequently, employing Graphab 2.8 software, we categorised 10 major cities in South Korea based on the connectivity of green space patches. Clusters exhibiting greater green space coverage, size, and connectivity displayed higher modularity values. Utilising ArcGIS software's zonal function, we computed key statistical parameters—minimum, maximum, mean, and sum values—of the pollinator taxa maps within each cluster.ResultsOur analysis unveiled a robust positive correlation between cluster modularity and the cumulative distribution of pollinators. Regions with heightened modularity exhibited richer pollinator populations, suggesting their suitability for urban agriculture for pollinator‐dependent crops.ConclusionThis study proposes that employing graph theory‐based clustering of urban green spaces can effectively delineate areas conducive to urban agriculture. This strategic identification of green space clusters with optimal pollinator abundance holds promise for urban agricultural planning and sustainability initiatives.

Sustainability Disclosures and Their Influence on Cost of Capital: A Comprehensive Bibliometric Study

Since the beginning of the twenty-first century, corporate social responsibility (CSR) has emerged as a global phenomenon in the business sector, capturing the attention of all stakeholders. Both early-stage and established firms often engage in high levels of voluntary disclosure, thereby reducing their cost of capital. This study synthesizes existing literature related to the impact of CSR on the cost of capital, focusing on sustainability and environmental disclosure. Utilizing the Scopus database, we conducted a bibliometric analysis through VOSviewer, analyzing 76 research articles from reputable academic journals published between 2002 and 2022. Our analysis identified three primary clusters: (1) the red cluster, titled "CSR and ESG disclosure and its impact on cost of capital" with 43 articles examining corporate social performance strategies, environmental risks, and green support; (2) the green cluster, titled "CSR activities and environmental or voluntary disclosure" with 21 articles focusing on corporate social investment, greenhouse gas emissions, voluntary disclosure, and their impact on cost of capital; and (3) the blue cluster, titled "sustainability disclosure or toxic release" with 12 articles centered on corporate social decoupling and toxic release. Our findings provide valuable insights for enhancing a firm's environmental and economic performance and offer guidance for decision-makers, lenders, investors, shareholders, and policymakers on reducing a firm's cost of capital through sustainability policies and strategies. Additionally, we highlight unexplored dimensions for future research, including forecasting firm investments using decoupling techniques, exploring the mediating role of CSR on the cost of capital, and examining the relationship between carbon intensity, greenhouse gases, and toxic release.

Leadership styles and sustainable performance

Leadership styles play a critical role in influencing sustainable performance and shaping organizational dynamics. A nuanced understanding of different leadership styles may have distinct impacts on the long-term success of performance to ensure organizational sustainability. Therefore, this study aims to analyze the trends of leadership styles and sustainable performance through a bibliometric analysis to provide valuable insights into the scholarly landscape surrounding this critical intersection. Using data from the Scopus scientific database for the period between 2010 and 2024, 106 relevant documents are found and visualized via the Vosviewer software to represent the relationships and patterns within the data. The main results found four thematic clusters: (1) red cluster is focuses on authentic leadership, sustainable leadership, knowledge management, sustainable development, and sustainable performance, (2) green cluster is related to organizational culture, job satisfaction, and innovation, (3) blue cluster is associated with transformational leadership, transactional leadership, organizational commitment, and corporate social responsibility, (4) yellow cluster is connected to servant leadership, organizational citizenship behavior, and employee performance. In all clusters, the bibliometric review indicates a robust connection between leadership styles (i.e., authentic leadership, sustainable leadership, transformational leadership, transactional leadership, and servant leadership) and sustainable performance. Comparing to another style of leadership, the finding further highlights the prevalence of transformational leadership as a key driver of sustainable performance.

LEED certification system for green buildings in China: Examining spatial differences, temporal evolution, and spatial overflow

This paper examines the spread of green building development in China by analyzing the implementation of the LEED certification system across 31 provinces from 2006 to 2022. To investigate spatial differences, spatial-temporal evolution, and spatial spillovers of green building development in China, we employed various statistical methods, including Standard Distance Ellipse, Dagum's Gini Coefficient, Kernel Density Estimation, Markov Chain Analysis, Moran's I Exponential Analysis, and Social Network Analysis. The findings reveal the formation of a green building cluster in a northeast-southwest orientation, at the core of the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta regions. There is compelling evidence of substantial regional disparities in green building development, primarily driven by inter-regional differences, which has resulted in a significant gap between the eastern and non-eastern regions. This study identifies the presence of “club convergence” and the “Matthew effect” in China's green building landscape, where spatial factors play a crucial role. Furthermore, a distinct and stable spatial clustering is observed, indicating a complex and multi-faceted spatial association network that goes beyond geographical proximity and neighborhood effects. This network reveals diverse positions and roles for provinces and cities. The eastern provinces and cities are found to exert strong control and dominance while also playing a significant siphoning role. On the other hand, the western provinces and cities have been marginalized, experiencing minimal dividend spillover from the development of other provinces.

Examining the dynamics of European renewable energy clusters: insights into technological collaboration

ABSTRACT With an emphasis on the European Renewable Energy Clusters (RECs), the study examines the impact of local and global collaborations on technological competitiveness within RECs. Drawing on illustrative examples from wind and solar energy clusters in Europe, the research challenges the prevailing notion of the need for extensive global collaborations for innovation. Instead, it highlights the pivotal role of local collaborations and technologically homophile community ties in sustaining technological competitiveness within green high-tech clusters. The article contributes to the green-tech innovation and clusters literature by providing valuable insights into how companies in clusters engage in patent collaborations, particularly in the context of green energy technologies. The study spans the period from 1998 to 2018, offering a comprehensive analysis of collaborations in two mature renewable energies: wind and solar. It particularly investigates the Wind cluster in Navarra, Spain and the Munich Solar cluster in Germany.

Analisis Blibiometrik Operating and Economic Exposure Dengan Publish or Perish dan VosViewer

This research aims to review comprehensive studies in an exploratory manner regarding operating exposure or economic exposure as an influence of fluctuations in the forex rate or foreign exchange rates on the present value of future cash flows in companies. The sample consists of 100 documents published in the period 2013 to 2023 using the crossref database with the keywords, forex rate, present value (PV), future value cash flow. This research conducted a systematic literature review using a bibliometric approach. Publish or perish and VOSviewer software were used to perform graphical analysis of bibliometric data and visualization of research results. Based on the visualization obtained, there are five types of colors as a clustering of links and relationships in terms of Operating Exposure which are searched in the database based on keywords. The first cluster is red which includes Indonesian stock exchange, earnings, stock price, value relevance, economic value. Then for the green cluster free cash flow and firm value. Then for the yellow cluster corporate governance, cash holding, and firm. Then for the light blue cluster, it is value and future direction. Then for the blue cluster it is rate, risk and overall tax advantages, and the last cluster in purple is net present value, return and cost. Bibliometric analytics can systematically review a number of studies to provide a less biased perspective. This also helps future research by combining research based on connectivity between keywords to better understand operating exposure in terms of company financial management.

An in-depth analysis of green innovation efficiency: New evidence based on club convergence and spatial correlation network

Green innovation is the cornerstone of global economic transformation. Based on the green innovation efficiency calculated under the two-stage innovation process, this paper discusses its convergence and network structure characteristics by applying the club convergence model and social network analysis method. The quadratic assignment procedure approach is employed to analyze the influencing factors. The results reveal that: (1) this paper finds β convergence but not convergence within subgroups based on regional classification. (2) Regarding network correction characteristics, the correlation ties and network density of the green innovation efficiency network demonstrate a downward trend, while the network hierarchy characteristics are still apparent. (3) The regional green innovation efficiency cluster performs different roles, as the core provinces become the beneficiaries of green innovation resources. (4) The differences in regional development and the clustering of block models are unfavorable to the formation of green innovation efficiency networks, while the differences in geographical proximity, green finance, resource environmental carrying capacity, and green innovation R&D efficiency foster the development of the spatial network. This paper contributes to promoting coordinated regional green innovation efficiency development.

Artificial intelligence and sustainability in higher education: a bibliometric analysis and its relations with the UN SDGs

This research aimed to analyze the importance of artificial intelligence and sustainability in higher education according to the literature in the field and to present the relationships of this context with the United Nations Sustainable Development Goals (SDGs). The adopted research strategies included bibliometric analysis using VOSviewer software and literature review, considering the Web of Science scientific database. The bibliometric analysis resulted in the clustering of four groups. The blue cluster highlighted the emergence of interest in studies on AI and sustainability in higher education following the Covid-19 pandemic. The green cluster emphasized the importance of more efficient teaching methods adapted to the demands of higher education, as well as the need to empower teachers to use artificial intelligence in developing students' skills and competencies, emphasizing sustainability. The yellow cluster indicated the presence of artificial intelligence in higher education based on the triad of sustainable education and innovation, aiming to prepare students for future challenges. The red cluster emphasized the impact of artificial intelligence in higher education, focusing on student learning, efficiency, and sustainable performance. Finally, the literature analysis identified the main AI technologies in higher education and their relationship with the United Nations SDGs. The reflections presented here can contribute to expanding discussions on the relationship between artificial intelligence and sustainability in higher education. From a practical standpoint, it can serve as a foundation for university managers aiming to promote the integration of AI into their teaching processes, considering the context of sustainability.

In vitro regeneration, photomorphogenesis and light signaling gene expression in Hydrangea quercifolia cv. 'Harmony' under different LED environments.

Plant growth regulators, sucrose concentration, and light quality significantly impact in vitro regeneration of 'Harmony'. Blue light promotes photomorphogenesis by enhancing light energy utilization, adjusting transcription of light signal genes, and altering hormone levels. Hydrangea quercifolia cv. 'Harmony', celebrated for lush green foliage and clusters of white flowers, has been extensively researched for its regenerative properties. Regeneration in stem segments, leaves, and petioles is facilitated by exogenous auxin and cytokinins (CTKs), with the concentration of sucrose (SC) being a key determinant for shoot regeneration from leaves. The study also highlights the significant impact of light conditions on photomorphogenesis. With an increase in the proportion of red (R) light, there is an inhibitory effect, leading to a reduction in leaf area, a decrease in the quantum yield of PSII (ΦPSII), and an increase in non-photochemical quenching (ΦNPQ) and non-regulated energy dissipation in PSII (ΦNO). Conversely, blue (B) light enhances growth, characterized by an increase in leaf area, elevated ΦPSII, and stable ΦNPQ and ΦNO levels. Additionally, B light induces the upregulation of HqCRYs, HqHY5-like, HqXTH27-like, and HqPHYs genes, along with an increase in endogenous CTKs levels, which positively influence photomorphogenesis independent of HqHY5-like regulation. This light condition also suppresses the synthesis of endogenous gibberellins (GA) and brassinosteroids (BR), further facilitating photomorphogenesis. In essence, B light is fundamental in expediting photomorphogenesis in 'Harmony', demonstrating the vital role in plant growth and development.

Effects of exposure to environmental factors on obesity-related growth parameters and leptin (LEP) methylation in children.

The prevalence of childhood obesity is rapidly increasing. Therefore, gaining more information on the role of environmental parameters is key. With overexpression of leptin (encoded by LEP) in obesity, LEP methylation might be altered by environmental exposures. This study aims to assess effects of ambient air pollution and nearby greenness on obesity-related growth and LEP methylation in early childhood. We monitored 120 mother-child pairs from conception until the age of five. Buccal swabs and anthropometric measurements of the children were taken at six months, one year, and five years old. Buccal DNA was extracted to determine LEP methylation levels. Estimates of air pollution and nearby greenness were calculated using high-resolution models. Effects of air pollution and nearby greenness on growth or LEP methylation were investigated using linear mixed effects models. Positive associations were shown for air pollution between conception and age one on impedance in six-month-olds and one-year-olds in the crude model. PM with aerodynamic diameter ≤10 (PM10) and ≤2.5 μm (PM2.5) positively associated with waist-hip-ratio and waist circumference at age five in the fully adjusted model. In early childhood, closest distance to forest negatively, and urban green and forest positively associated with weight-for-length, body mass index, and fat percentage in five-year-olds in the fully adjusted model. No significant associations for noise, and walkability on growth were seen. Negative associations were shown for smaller green clusters and positive associations for greater green clusters on LEP methylation in one-year-olds. For forest distance, walkability, noise, or all green on LEP methylation, no significant associations were found. Evidence is provided that ambient air pollution might have a significant effect on impedance and waist-hip-ratio, suggesting an increased risk of childhood obesity. Based on LEP methylation, greater green clusters might associate with a decreased risk of childhood obesity, while smaller green clusters showed the opposite.

Impacts of Building Environment and Urban Green Space Features on Urban Air Quality: Focusing on Interaction Effects and Nonlinearity

Air pollution is a rising environmental concern that has detrimental effects on human health and the environment. Building environment and urban green space features play a crucial role in the dispersion and accumulation of air pollutants. This study examines the impacts of building environment and urban green space on air pollution levels in the highly urbanized city of Hong Kong, focusing on their interaction effects and potential nonlinearity. For the analysis, this paper investigates how building density, building height, building types, urban green space size, and number of urban green space clusters, as well as their interplays, impact PM2.5 concentrations using high-resolution, satellite-based PM2.5 grids coupled with spatial analysis techniques. The findings reveal that a unit increase in the size of urban green space and the standard deviation of building height contribute to a 0.0004 and a 0.0154 reduction in PM levels, respectively. In contrast, air pollution levels are found to be positively associated with building density (0.1117), scatteredness of urban green space (0.0003), and share of commercial buildings (1.0158). Moreover, it has been found that building height presents a U-shape relationship with PM2.5 concentrations. Finally, the negative association between the size of urban green space and air pollution levels tends to be enlarged in districts with more low-rise buildings. This study conveys important building environment and urban green space planning implications.

Chaotropic Effect-Induced Self-Assembly of the Malachite Green and Boron Cluster for Toxicity Regulation and Photothermal Therapy.

Malachite green (MG), a toxic antibacterial agent, is widely used in the farming industry. Effectively regulating the biotoxicity of this highly water-soluble cationic dye is challenging. Here, we present a novel strategy to reduce the biotoxicity of MG through the self-assembly of MG and the closo-dodecaborate cluster ([B12H12]2-) driven by the chaotropic effect. [B12H12]2- and MG in an aqueous solution can rapidly form an insoluble cubic-type supramolecular complex (B12-MG), and the original toxicity of MG is completely suppressed. Surprisingly, this supramolecular complex, B12-MG, has a strong UV-vis absorption peak at 600-800 nm and significant photothermal conversion efficiency under 660 nm laser irradiation. On this basis, B12-MG, the supramolecular complex, can be used as an efficient photothermal agent for antimicrobial photothermal therapy (PTT) both in vitro and in vivo. As a molecular chaperone of MG, [B12H12]2- not only can be applied as an antidote to regulate the biotoxicity of MG but also provides a novel method for the construction of photothermal agents for PTT based on the chaotropic effect.

Studies conducted on physical activity and brain: a bibliometric analysis

Purpose: The purpose of the study is to examine physical activity and brain-related studies published in international and peer-reviewed journals using the Bibliometric Analysis Method. Material and Methods: By applying the visualized Bibliometric Analysis Method in the study, it was aimed to examine the general distribution characteristics, study progress, and highlights of existing studies on the effects of physical activity on the brain from 2001 to 2022. Studies that were published in journals containing SSCI, SCI-Expanded and AHCI indices of Web of Science (WoS) were examined within the scope of the study. After the elimination criteria were applied, a total of 6007 studies were included in the Bibliometric Analysis. Results: When the year distributions of the publications were examined, it was found that they were few in number from 1990 to 2000, increased as of 2001, and a significant increase was detected especially in 2019. According to the articles reviewed based on WoS citations, it was found that the fields of neuroscience, clinical neurology and psychiatry came to the forefront. Considering the journal distribution of the examined articles, the PLoS One journal was in the first place. Four main clusters emerged in the common word analysis, which were green, red, blue and yellow. It was obtained that the green cluster occupying the center of the map was the field of sports sciences. The words found in the clusters that emerged from the analysis were physical activity, exercise, cognition, aging, Alzheimer’s disease, depression,dementia, and hippocampus. Conclusion: The study systematically summarizes and analyzes studies conducted on the promotion of physical activity by emphasizing the improvement of cognitive functions. It is expected that the study will provide guidance and reference for future research.

Sustainability reporting and electric utilities: A bibliometric analysis

Electric utilities play a pivotal and indispensable role in facilitating the transition towards a more sustainable planet. However, it is observed that only a limited number of electric utilities have undertaken the voluntary disclosure of their Environmental, Social, and Governance (ESG) indicators. Consequently, this situation has spurred significant academic interest, prompting scholars to initiate studies aimed at comprehending the primary implications associated with the adoption of accountability technologies by electric utilities. In light of this compelling evidence, the present article endeavors to conduct a systematic and rigorous analysis of the scholarly landscape through the application of bibliometric methods. The key outcome is the identification of three principal research areas: (i) environmental management, represented by the “green cluster,” (ii) corporate social responsibility, represented by the “blue cluster,” and (iii) accountability strategies, represented by the “red cluster.” Each of these areas offers unique insights into the efforts of electric utilities to promote and adhere to sustainable operational practices.

Spatial Pattern Evolution of the Manufacturing Industry in the Yangtze River Economic Belt and Its Impact on PM2.5

Instead of being merely an important embodiment of regional productivity, the manufacturing industry also serves as a significant sector of economic operation and the supply chain system that is highly dependent on resources and the environment. Studying the spatial pattern of the manufacturing industry and its environmental effect is extremely significant for optimizing the spatial layout of urban industry, allocating production factors in a rational manner, and promoting the green transformation of industry. In this regard, this study aimed to further reveal the spatial pattern characteristics of the regional manufacturing industry and its impact on PM2.5. Using data from micro-enterprises in the manufacturing industry in the Yangtze River Economic Belt, its spatial pattern characteristics are explored and an econometric model is constructed to analyze the impact of the manufacturing industry on PM2.5 by comprehensively applying approaches including kernel density estimation, nearest proximity index, and Dagum Gini coefficient decomposition. Three research conclusions were drawn: (1) an obvious “core-edge” feature is present in the spatial distribution of the manufacturing industry in the studied area showing an apparent pattern of “high in the east and low in the west”. The core density of the manufacturing industry in the central cities is significantly higher than that in the surrounding cities. (2) In the manufacturing industry and its subdivisions, the characteristics of spatial agglomeration are unveiled, while the agglomeration and spatial differences are diminished during the study period for the spatial equilibrium of the manufacturing industry. (3) A significantly positive impact is exerted on PM2.5 pollution that is not limited to local cities by the manufacturing industry, which, due to the development differences within the study region, is also heterogeneous. In view of this, policy proposals for aspects such as forging a green manufacturing cluster area, establishing an industrial integration development platform, giving play to regional advantages and technological potential, etc., are put forward in this study, so as to provide a useful reference for optimizing the industrial pattern and promoting the green transformation of industries.

Green Cities: Utopia or Reality? Evidence from Zurich, Switzerland

There is an overall scientific consensus that green spaces positively affect urban dwellers’ health and well-being. However, there is a gap between knowledge and policy objectives, and their translation into effective interventions to unleash the benefits of green spaces. Examining such ‘implementation gap’ in Zurich is relevant due to the integration of the ‘green urban agenda’ in various Swiss policies. The research narrows its focus to district 9, including the Altstetten and Albisrieden neighborhoods, which contain diverse green spaces despite ongoing densification. The study further explores four green space clusters and their 400-m catchment areas within the district. The research applies a mixed-method approach at three analytical levels: (1) identification of the critical tenets associated with the ‘green urban agenda’ through a review of multi-scale national policies, (2) assessment of green spaces’ provision, types, size, and mutual connectivity in Zurich’s district 9 based on online available quantitative data and on-site observation, and (3) identification of the dominant activities in four green space clusters through on-site observation. Through critical mutual examination of the identified ‘green urban agenda’ principles in the national policies and green space attributes, the findings reveal the extent of the convergence or divergence between policy trends and their implementation in practice.

Research trends in cardiovascular tissue engineering from 1992 to 2022: a bibliometric analysis.

Cardiovascular tissue engineering (CTE) is a promising technique to treat incurable cardiovascular diseases, such as myocardial infarction and ischemic cardiomyopathy. Plenty of studies related to CTE have been published in the last 30 years. However, an analysis of the research status, trends, and potential directions in this field is still lacking. The present study applies a bibliometric analysis to reveal CTE research trends and potential directions. On 5 August 2022, research articles and review papers on CTE were searched from the Web of Science Core Collection with inclusion and exclusion criteria. Publication trends, research directions, and visual maps in this field were obtained using Excel (Microsoft 2009), VOSviewer, and Citespace software. A total of 2,273 documents from 1992 to 2022 were included in the final analysis. Publications on CTE showed an upward trend from 1992 [number of publications (Np):1] to 2021 (Np:165). The United States (Np: 916, number of citations: 152,377, H-index: 124) contributed the most publications and citations in this field. Research on CTE has a wide distribution of disciplines, led by engineering (Np: 788, number of citations: 40,563, H-index: 105). "Functional maturation" [red cluster, average published year (APY): 2018.63, 30 times], "cell-derived cardiomyocytes" (red cluster, APY: 2018.43, 46 times), "composite scaffolds" (green cluster, APY: 2018.54, 41 times), and "maturation" (red cluster, APY: 2018.17, 84 times) are the main emerging keywords in this area. Research on CTE is a hot research topic. The United States is a dominant player in CTE research. Interdisciplinary collaboration has played a critical role in the progress of CTE. Studies on functional maturation and the development of novel biologically relevant materials and related applications will be the potential research directions in this field.

Diagnostic and prognostic value of c-MYC gene expression in hematological malignancies.

c-MYC plays vital role in regulation of cell proliferation and has been associated with tumorigenesis. This study is aimed at assessing diagnostic and prognostic value of plasma c-MYC expression to aid in early diagnosis and prognosis of hematological malignancies. Plasma c-MYC expression was determined by quantitative real time PCR using EVA Green chemistry and cluster of differentiation markers performed via immunocytochemistry. Plasma c-MYC was higher in subject with hematological malignancies (8.8 ± 1.1) when compared with apparently healthy controls (4.5 ± 0.5). A screening cut-off c-MYC ratio value of 9.42 with sensitivity and specificity of 65.5% and 100% respectively were obtained using receiver operator characteristic curve analysis. Plasma c-MYC was found to have no prognostic value using Kaplan-Meier analysis. Plasma c-MYC ratio showed promising screening/diagnostic value for hematological malignancies.

Exploring sustainability disclosures in family firms: a bibliometric analysis

Families own two-thirds of the world’s private businesses. It is an organizational model that has succeeded in various sizes, both small and large publicly listed companies. This study aims to explore the developments in sustainability reporting for family firms. The current study employs bibliometric analysis to examine family firms’ sustainability literature’s conceptual structure and influential aspects. Our study recruited 131 research documents from 2004 to 2021 based on our inclusion criteria. The findings from the conceptual analysis, the co-occurrence network of keywords analysis yields three clusters: CSR disclosures and corporate governance in family firms of emerging economics (red cluster), while red and green clusters focus on environmental performance, earnings management, and corporate governance in family firms. Our study has also highlighted the influential aspects of sustainability in family firms’ literature. Our findings have significant implications for researchers and policymakers. Our findings could be helpful to both family businesses and sustainability researchers. The study contributes to the business literature by illuminating the new research directions in sustainability reporting by family firms using bibliometric techniques.