Volume 34, Issue 5 pp. 5669-5686
RESEARCH ARTICLE
Open Access

Unveiling the Relationship Between ESG and Growth of Unlisted Firms: Empirical Insights From Eastern Europe and Central Asia

Nosheen Rasool

Corresponding Author

Nosheen Rasool

School of Accounting Finance & Economics, The University of Waikato, Hamilton, New Zealand

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Murugesh Arunachalam

Murugesh Arunachalam

School of Accounting Finance & Economics, The University of Waikato, Hamilton, New Zealand

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Nirosha Hewa Wellalage

Nirosha Hewa Wellalage

UniSA Business School, University of South Australia, Adelaide, South Australia, Australia

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Vijay Kumar

Vijay Kumar

School of Accounting Finance & Economics, The University of Waikato, Hamilton, New Zealand

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First published: 25 March 2025
Citations: 1

Funding: The authors received no specific funding for this work.

ABSTRACT

This study aims to uncover the empirical relationship between environmental, social and governance (ESG) factors and the growth of 19,956 unlisted firms in the East Europe and Central Asia (EECA) region. While the existing literature focuses on ESG performance in listed firms, there is a gap in understanding the growth dynamics of unlisted firms in EECA, which face challenges in implementing ESG initiatives due to resource constraints as the prime cause. The ESG index is constructed using principal component analysis (PCA), and growth is assessed through the variables of sales growth (SG), employment growth (EG) and asset growth (AG). To address endogeneity in the ESG–growth relationship, a two-stage least squares (2SLS) estimator is employed, using instrumental variables. The results show a positive and significant relationship between ESG and growth indicators, emphasising the importance of sustainable practices for positive stakeholder relationships, enhanced reputation and long-term growth. This research offers unique insights into the ESG–growth connection for unlisted firms in EECA, benefiting stakeholders by divulging employment opportunities in society and amplifying sales and asset growth.

1 Introduction

The world is facing severe environmental issues due to the upsurge in industrial development (Hizarci-Payne, İpek and Kurt Gümüş 2020) that has raised concerns about the depletion and use of natural resources in an unsustainable way (Farza et al. 2021), and other challenges, including pollution, global warming, poverty, unemployment and gender inequality (Dartey-Baah and Amoako 2021). This worsening situation has aroused the interest of scholars, practitioners and policymakers in environment-friendly strategies (Liao 2018). Therefore, ESG matters have gained prominence (Avramov et al. 2022; Broadstock et al. 2021; Emma and Jennifer 2021; Friede, Busch and Bassen 2015), reflecting a substantial increase in investments in ESG initiatives in recent years (Pedersen, Fitzgibbons and Pomorski 2021). ESG endeavours include the use of environment-friendly raw materials, recycling of waste, minimising carbon emissions, exemplary relations with society, an upsurge in customer loyalty and well-planned strategies to cope with climate change (Antoncic et al. 2020; Bekaert, Rothenberg and Noguer 2023; Li et al. 2018). Environmental performance is related to organisational processes to protect the environment (Maquieira, Arias and Espinosa-Méndez 2024). The social component comprises relationships with society (Tan, Szulczyk and Sii 2023). Governance measures encompass the way an organisation supervises its operations (Maquieira, Arias and Espinosa-Méndez 2024).

Organisations are increasingly recognising their responsibility for social well-being. They are giving priority to ESG issues, as advocated by scholars such as Xie et al. (2019) and García-Sánchez et al. (2019), with the prevailing belief that improving ESG performance can lead to a sustainable global trajectory and positive outcomes worldwide (Liao, Liu and Liu 2021). Sustainability initiatives can lead to cost savings, operational efficiency and improved market positions (Flammer 2015). ESG consciousness has expanded at the institutional level (Stotz 2022), and firms are motivated to embrace ESG elements for two reasons. First, companies prioritise fulfilling moral obligations, engaging in sustainable practices and considering stakeholders' interests (Ortas et al. 2015). This commitment extends to enhancing customer satisfaction and adopting sustainable policies such as waste management and energy efficiency. Second, investors are now more concerned about ESG initiatives. Therefore, they try to put resources into those organisations that adopt ESG initiatives (Bekaert, Rothenberg and Noguer 2023). Based on Bloomberg data, the total investment in ESG initiatives currently stands at $40 trillion and is projected to grow to $53 trillion by 2025. Understanding the public view of ESG is central to getting support, progressing ESG activities and creating a sustainable framework for ESG policy (Liu, Luo, and Lu 2023).

Unlisted firms in the EECA region face significant barriers in adopting ESG practices due to fragmented data, weak regulatory frameworks and varying cultural attitudes toward sustainability (Rajesh 2020). These firms often prioritise short-term profitability over long-term sustainability, viewing ESG implementation as an unnecessary cost, despite its potential benefits (Avramov et al. 2022). Unlisted firms represent two-thirds of global businesses and more than half of the global workforce, underscoring their significance in the global economy. When these firms prioritise ESG, they not only enhance their resilience but also attract investment, expand capital access and improve their long-term growth prospects (IFC 2019). Adopting ESG practices can enhance access to international investors, improve funding opportunities (KPMG 2020) and differentiate firms in competitive markets, fostering customer loyalty and stronger stakeholder relationships. ESG practices also improve operational resilience via better energy efficiency and risk management and can ease compliance with increasingly stringent regulations, reducing future costs and supporting growth (Wellalage, Reddy and Wallace 2023).

The adoption of ESG practices varies by industry and region. High-impact sectors such as energy face greater environmental scrutiny, while lower impact industries focus more on social issues (Fay, Block and Ebinger 2010). Regional differences in regulatory and cultural contexts further shape ESG adoption, with stricter regulations pushing firms to formalise practices (Bofinger, Heyden and Rock 2022). Aligning ESG strategies with sectoral and regional norms helps firms build trust and improve long-term growth (Tan, Szulczyk and Sii 2023). Stakeholder and legitimacy theories suggest that firms can bolster their legitimacy by aligning their operations with societal norms and stakeholder values. For example, firms in community-centred cultures may focus on social contributions and local welfare, while those in ecologically sensitive areas may prioritise environmental sustainability (Donaldson and Preston 1995; Freeman, Harrison and Zyglidopoulos 2018). This study, using data from 31 EECA countries, explores how ESG practices affect unlisted firms' growth and aims to guide policymakers and investors in fostering sustainable practices in the region.

Empirical results indicate a significant positive relationship between ESG factors and the growth of unlisted firms. This paper contributes to the literature on the nexus between firm growth and ESG initiatives in five distinct ways. First, it considers unlisted firms rather than the listed firms that are generally at the heart of most research articles. For instance, previous researchers conducted research on the ESG performance of listed firms (Borralho et al. 2022; Cirillo et al. 2020; Doluca, Wagner and Block 2018; Miroshnychenko et al. 2022). However, unlisted firms contribute more significantly to economic growth as they account for over half of global GDP (Schwab 2018). Second, there are several studies in which the impact of ESG activities has been empirically tested on various organisational aspects, including earnings management, financial risk investment management, firm performance, access to finance, public perception and reputation (Borralho et al. 2022; Rahman, Zahid and Al-Faryan 2023; Shakil 2021; Van Duuren, Plantinga and Scholtens 2015), but the existing literature lacks studies on the growth perspective of unlisted firms, although it is one of the most valuable measures that may enable such firms to improve their reputations (Handley and Howell-Moroney 2010), attract talent and funding (Bernstein, Giroud and Townsend 2016) and gain a better competitive edge and market positioning (Porter and Kramer 2006). An assessment of firm growth can be made in terms of sales growth, employment growth and asset growth (Moreno-Menéndez and Casillas 2021). Therefore, we employ all three growth perspectives for measuring the growth of an unlisted firm.

Third, the existing literature primarily addresses European countries and developed economies, whereas this study broadens its scope by encompassing EECA countries, offering a more comprehensive perspective on the subject. Zhang (2021) and Cirillo et al. (2020) focus on analysing European firms, Moreno-Menéndez and Casillas (2021) examine Spanish firms, Almeyda and Darmansya (2019) analyse G-7 countries, while Duque-Grisales and Aguilera-Caracuel (2019) assess a sample of firms operating in a specific geographic region, such as Latin America. However, ESG sustainability is a pressing concern in the EECA region, home to diverse ecosystems (Choudhury and Roy 2021). Challenges such as cultural diversity, climate change, resource depletion and pollution demand immediate attention and action. EECA nations have also committed to international agreements such as the Paris Agreement, obliging them to reduce greenhouse gas emissions, and therefore, require more attention and research for catering to societal challenges (Chasin et al. 2020; Gasparin et al. 2021; Kluza, Ziolo and Spoz 2021; Reficco, Layrisse, and Barrios 2021).

Fourth, this study employs a two-stage least squares (2SLS) estimator using the three instrumental variables: average ESG scores for industries across countries, process innovation and concentration of family ownership for addressing the endogeneity likely to affect the relationship between ESG and firm growth. This approach has been overlooked in the past (Rahman, Zahid and Al-Faryan 2023). We consider the approach appropriate for consistent regression estimation, mainly to deal with the expected endogenous nature of ESG and firm growth nexus commonly attributable to the omission of variables or simultaneity of equations (Gull et al. 2022; Rahman, Zahid and Al-Faryan 2023). Fifth, this study validates stakeholder theory and legitimacy theory. It complements these approaches by emphasising that firms must prioritise their growth while concurrently safeguarding the interests of the society in which they operate. In the context of firm growth, integrating these theories implies that sustainable and responsible growth is contingent upon satisfying the expectations of key stakeholders and maintaining societal legitimacy (Khan 2022). Firms prioritising stakeholders' well-being and operating according to societal norms are likely to foster positive relationships (Khan 2022), enhance their reputation (Brammer and Millington 2005) and facilitate long-term growth.

There is a gap in the literature on cross-country studies of unlisted firms' ESG performance and its impact on business growth in the EECA region. We provide a novel perspective on ESG performance and growth in unlisted firms and highlight the significance of nonfinancial initiatives in policymaking regarding unlisted firms' diverse growth opportunities to satisfy the legitimacy of stakeholders. The rest of the article is organised as follows: Section 2 delves into the theoretical framework, while Section 3 provides an overview of the literature review and hypothesis development. Section 4 details this study's data, variables and methodology. Section 5 elucidates the results and findings, and Section 6 offers concluding remarks.

2 Theoretical Framework

A theoretical framework is established to clarify the connections between the study's theories and variables. In this study, stakeholder theory (Freeman et al. 2010) and legitimacy theory (Dowling and Pfeffer 1975) provide a relevant foundation for understanding the relationship between ESG and growth. The theoretical framework is outlined in Figure 1.

Details are in the caption following the image
Theoretical framework.

2.1 Stakeholder Theory

The term ‘stakeholder’ was originally introduced by Stanford Research Institute in 1963 and has since developed with Freeman's book, Strategic Management: A Stakeholder Approach, making an important contribution (Mahajan et al. 2023). Stakeholder theory was formulated by Edward Freeman, a philosopher and business professor, in 1984. It is a conceptual framework that recommends organisations should not only consider the needs of shareholders but also take care of the interest of all stakeholders, including employees, suppliers, government and society to achieve the organisation's goals (Freeman 2010).

Stakeholder theory posits that a corporate firm should attempt to meet the needs of all relevant stakeholders, including the ESG dimensions, as these are also crucial for its success, although after conducting proper cost–benefit analyses for all concerned stakeholders (Donaldson and Preston 1995; Pozzoli, Pagani and Paolone 2022; Shou et al. 2023). For instance, a study by Clarkson et al. (2011) finds that private firms adopting ESG practices can enhance their relationships with local communities, thus potentially improving their social license to operate. Henisz, Koller and Nuttall (2019) state that by adopting ESG practices, companies demonstrate a commitment to sustainability, ethical behaviour and social responsibility. This can help them attract and retain employees who share their values and vision for unlisted firms' better legitimacy and growth. In the case of improving operational efficiency, ESG factors play an active role in implementing these practices and help these firms move towards cost savings through waste reduction, resource efficiency and competitiveness. It also helps to satisfy society at large (Henisz, Koller and Nuttall 2019). However, some studies show a negative relationship between the ESG role and organisational performance (Alareeni and Hamdan 2020; Wright and Ferris 1997) due to the lack of resources and the presence of unethical elements such as bribes, poor governance and undue resource wastage.

Bekaert, Rothenberg and Noguer (2023) suggest that firms need to balance the interests of multiple stakeholders while pursuing ESG initiatives because when unlisted firms implement ESG factors in their systems, they can protect themselves from probable detrimental results and achieve better growth. Therefore, stakeholder management is an acute concern; it requires simultaneous attention and response, which can impact a firm's image, growth and sustainability. Therefore, firms need to recognise and address stakeholders' concerns strategically (Bridoux and Stoelhorst 2014; Freeman, Harrison and Zyglidopoulos 2018; Porter and Kramer 2011; Russo and Perrini 2010).

2.2 Legitimacy Theory

Dowling and Pfeffer (1975) introduced legitimacy to organisational frameworks, indicating that maintaining legitimacy is fundamental for an organisation's existence and access to resources. Suchman (1995) enhanced the concept of legitimacy and explained it as ‘a universal view or belief that the actions of any organization are required, identifiable, or appropriate within some socially organized framework of traditions, rules, values, and beliefs’. He categorized legitimacy into three areas: pragmatic legitimacy, where stakeholders help the organisation because it benefits them; moral legitimacy, based on moral assessment of the organisation's actions; and cognitive legitimacy, where the organisation is seen as indispensable to society. Today, legitimacy theory is widely used in CSR and sustainability studies, rationalising why companies accept practices that are associated with stakeholders' expectations (Lee and Raschke 2023). By managing legitimacy, organisations aim to build confidence, maintain their ‘social license to operate’ and protect their goodwill in a dynamic social model. Pham and Tran (2020) also posit that every firm operates within a societal context and is expected to behave in a socially responsible manner to meet societal expectations. This theory is foundational in understanding corporate sustainability, asserting that businesses must align with society's norms, beliefs, values and culture to gain acceptance, thrive and survive (Burlea and Popa 2013). Consequently, corporations are urged to present a comprehensive economic, social and environmental package to fulfil stakeholders' needs and foster business growth (Deegan 2002). Maintaining legitimacy poses challenges for unlisted firms due to limited disclosure requirements and resource constraints (Pham and Tran 2020). In this context, adopting ESG practices is a tangible commitment to ethical conduct and sustainability (Dowling and Pfeffer 1975). Such practices become instrumental in demonstrating legitimacy, especially in industries with higher ESG-related risks or regions such as EECA, where regulatory scrutiny and sociocultural considerations are escalating (OECD 2007). Lakkanawanit et al. (2022) explore the connection between energy conservation efforts and firm performance in Thailand, providing valuable insights into how private firms in energy-intensive industries manage their legitimacy by addressing environmental and societal concerns. The performance of a corporate entity is considered legitimate when it aligns with social boundaries and meets stakeholders' expectations (Castelo Branco, Eugénio and Ribeiro 2008; O'donovan, G. 2002). In contrast, some scholars caution against the potential misuse of ethical practices within the legitimacy framework. Companies may participate in socially acceptable activities primarily for self-benefit and protection rather than fostering growth, even if they achieve a better image and acceptability (Borralho et al. 2022; Ortas et al. 2015). This underscores the importance of discerning authentic commitment to social responsibility from mere symbolic gestures in the realm of legitimacy.

Together, stakeholder and legitimacy theories propose that ESG practices can provide a mechanism for unlisted firms to gain support from both stakeholders and society. This dual support can drive firm growth by enhancing reputation, fostering regulatory compliance and attracting investment. Combining stakeholder and legitimacy theories provides a comprehensive framework for examining the research question. Stakeholder theory explains the benefits of ESG adoption from a relationship and value alignment perspective, while legitimacy theory focuses on how ESG practices help firms conform to societal expectations, both of which can drive firm growth. This integrated approach can highlight not only the internal value of ESG practices for stakeholder relationships but also their external value in aligning with societal norms and achieving legitimacy.

3 Literature Review and Hypothesis Development

Researchers have measured the relationships between ESG factors, firm financial performance, financial risk and competitive edge for the last two decades. Definitive conclusions have not been reached regarding the incorporation of ESG into operational activities and its impact on firms' performance from stakeholders' perspectives (Khan 2022; Orlitzky 2013; Qureshi et al. 2021). Most researchers find a positive empirical relationship between ESG and firm performance (Asif et al. 2011; Carter et al. 2010; Orlitzky 2013; Rahman, Zahid and Al-Faryan 2023; Wang et al. 2020; Zahid et al. 2020), but some studies find either no influence or an opposing influence of ESG scores on firms' performance (Abdi, Li and Càmara-Turull 2021; Bruna and Lahouel 2022; Ching, Gerab and Toste 2017; Di Tommaso and Thornton 2020; Esteban-Sanchez, de la Cuesta-Gonzalez and Paredes-Gazquez 2017; Fatemi, Glaum and Kaiser 2018; Martin and Dahlström 2020). The negative influence of ESG on performance can be attributed to over-investment; thus, it compromises the goal of increasing shareholders' wealth (Di Tommaso and Thornton 2020).

The existing literature inadequately addresses the relevance of ESG activities for firms' growth in EECA. For example, Abdi, Li and Càmara-Turull (2021) focus on the airline industry, and Ching, Gerab and Toste (2017) examine Brazilian companies. Such industry- and region-specific studies limit the ability to generalise results across all sectors and geographic contexts. The extant literature largely neglects ESG activities in unlisted firms within the EECA region, which have more freedom to set financial and nonfinancial goals without the regulatory constraints typically imposed on listed companies (Graves and Shan 2013). Most studies focus on ESG's impact on firm performance in publicly listed companies, often emphasising profitability metrics such as return on asset and return on equity (Buallay 2019; Chen et al. 2023; Chouaibi, Chouaibi and Rossi 2021). This emphasis on traditional financial metrics limits the understanding of growth-oriented measures, such as sales growth, which may be more relevant for unlisted firms aiming to expand their market reach (Crossley, Elmagrhi and Ntim 2021).

Scholars such as Kluza, Ziolo and Spoz (2021) and Mohammad and Wasiuzzaman (2021) recommend examining ESG activities in Asian firms, yet a notable gap exists in understanding the impact of these activities in the EECA context. Economic transitions and dynamic cultural and regulatory requirements in the region result in growth disparities and persistent governance challenges, notably corruption. Therefore, urgent research is needed to comprehensively understand and tackle these challenges, shedding light on the role of ESG activities in fostering growth and sustainability in the EECA landscape.

To bridge the gap in the literature, the following hypothesis is tested in this study:

H1: ESG performance positively influences the sales growth of unlisted firms.

According to the stakeholders' theory, business organisations are more likely to satisfy all concerned stakeholders' concerns by implementing ESG initiatives (Pinheiro et al. 2023). Some studies demonstrate a positive nexus between ESG scores and financial performance (Abdi, Li and Càmara-Turull 2021; Bodhanwala and Bodhanwala 2018; Bofinger, Heyden and Rock 2022; DasGupta 2021; Huang 2021; Li et al. 2018; Mohammad and Wasiuzzaman 2021; Qureshi et al. 2021; Velte 2017; Yilmaz 2021). For instance, Friede, Busch and Bassen (2015) conducted a systematic literature review of 2000 studies, finding that 90% of the studies reported a substantial positive influence of ESG score on a firm's financial performance. Clark, Feiner and Viehs (2015) conducted a meta-analysis to examine the influence of ESG scores on financial performance, finding that companies scoring relatively higher ESG outperformed the firms not pursuing ESG in terms of market and financial performance. However, other studies indicate a negative relationship. For instance, Martin and Dahlström (2020) and Fatemi, Glaum and Kaiser (2018) find a negative link between ESG scores and the financial performance of firms. Long-term harmony between financial and ESG goals aims to minimise the risk of loss for members and generate more sustainable and enduring growth paths compared with other firms (Przychodzen and Przychodzen 2013). In addition, socially responsible firms enjoy legitimacy and have the power to generate more prospects for growth (Tilling 2004). ESG is a legitimate action firms take with regard to a range of stakeholders (Shakil 2021). The previous literature only emphasises the financial parameters of firm performance (Mandas et al. 2023). However, by implementing ESG activities, firms can improve their processes and productivity, creating more employment. Creating jobs responsibly aligns with ethical business practices, including fair treatment of employees, stakeholder engagement and positive community impact. Companies focusing on ESG factors foster a socially conscious work environment, contribute to long-term value creation and invest in human capital development (Maquieira, Arias and Espinosa-Méndez 2024). Thus, many corporate entities engage in ESG activities as they hope to reap benefits including employment growth (Widyawati 2020). The current research bridges the research gap by considering employment growth as a proxy for the growth variables recommended by Ali and Shabir (2017). Considering the above discussion, this paper proposes the following hypothesis:

H2: ESG performance positively influences the employment growth of unlisted firms.

The incorporation of ESG factors into planning is driven not only by perceived financial advantages but also by other perceived benefits, as indicated by various authors (Dai et al. 2022; Du, Liu and Diao 2019; Kalia and Aggarwal 2023; Shakil 2021; Sinha Ray and Goel 2023). Specifically, the inclusion of sustainable activities in business processes positively influences asset growth for firms (Aragón-Correa et al. 2008; Garcia, Mendes-Da-Silva and Orsato 2017). de Sousa et al. (2024) and Bagh et al. (2024) also find a positive relationship between sustainable activities and firm performance of Brazilian firms, and United States and Chinese firms, but these firms differ from firms operating in the EECA region due to their economic and financial regional challenges.

Notably, firms that integrate sustainability into their decision-making demonstrate low volatility of asset growth, contributing to a more stable financial trajectory (Przychodzen and Przychodzen 2013). Interestingly, previous studies suggest that a firm's economic performance is an outcome of the potential effects of appropriate social responsibility endeavours and legitimate ESG activities (Liu, Luo and Lu 2023; Madueno et al. 2016; Ortas et al. 2015). However, some studies indicate a negative relationship between economic performance and ESG activities (Barnett and Salomon 2012; Buallay 2019; Esteban-Sanchez, de la Cuesta-Gonzalez and Paredes-Gazquez 2017).

Despite inconclusive findings, Friedman (2007) proposes a win–win scenario, suggesting that spending on social activities can benefit both society and the firm. Significantly, companies that maintain a balanced approach to their financial, environmental and social initiatives exhibit prominently reduced curves of asset growth, reinforcing the intricate relationship between ESG performance and financial outcomes (Friedman 2007). However, the specific impact of ESG performance on the asset growth of unlisted firms is not evident in previous studies, highlighting a gap that warrants further exploration and research. We test the following hypothesis:

H3: ESG performance positively influences the asset growth of unlisted firms.

4 Data and Methods

4.1 Data

Data were gathered from the World Bank Enterprise Survey (WBES), which conducted interviews with business owners and top executives of unlisted firms in 59 countries during the years 2019, 2020 and 2021. We chose 19,956 unlisted firms from 31 countries from EECA for which data regarding the green economy were accessible (see Appendix 1 for sample distribution). The selection of the EECA region for our study was motivated by its status as a global warming hotspot, as highlighted by Scheffran and Battaglini (2010), and in this context, heightened environmental concerns among investors, customers and the public drive the demand for eco-friendly practices and a focus on environmental innovation in firms (Boffo and Patalano 2020). The region is increasingly vulnerable to climate change impacts, including rising temperatures and erratic weather patterns disrupting ecosystems. The financial investment needed to shield EECA nations from climate change is substantial, with inaction posing even more significant costs. Central Asia, for example, could see a 30% reduction in food yields by 2050, displacing 5.1 million people due to untreated climate-related events. Unresponsive European Union (EU) member states may face job losses of over 400,000 by 2050, incurring €170 billion in costs from climate-related extreme weather events. Amid these challenges, climate change initiatives offer economic benefits by creating jobs and generating revenue. Companies in the EECA region acknowledge the imperative to align with ESG criteria to attract investment from socially responsible investors. Environmental sustainability is a significant concern in the region, known for its diverse ecosystems (Boffo and Patalano 2020). Recognising the region's distinct population attributes, dense culture and complex economic systems, there is a growing emphasis on social and governance issues, including diversity, labour rights and community engagement (Fay, Block and Ebinger 2010). Balancing rapid economic development with environmental challenges is a central issue for EECA economies. Coping with environmental challenges involves producing environmentally friendly, innovative products (Tolliver et al. 2021). Unlisted firms were chosen for our study due to their increasing recognition of the pivotal role of ESG factors in driving growth. Including ESG principles not only enhances reputation and access to capital but also enables effective risk management, operational efficiency and competitiveness against larger firms (Bansal and DesJardine 2014; Brown, Guidry and Patten 2009; Dakhli 2021; Govindan, Shaw and Majumdar 2021; Simo Kengne 2016). The agility of smaller firms allows them to respond swiftly to market changes, foster innovation and contribute significantly to economic growth (IFC 2019). Unlisted firms, with inherent flexibility and innovation capabilities, play a crucial role in promoting competition and preventing market monopolies, fostering more efficient markets (Anning-Dorson and Nyamekye 2020; Graves and Shan 2013; Wellalage and Kumar 2021). Despite challenges such as concentrated ownership and governance complexities, particularly in family firms, the adoption of sustainable initiatives addresses autonomy in sales growth and establishes sustainable growth paths, meeting diverse stakeholder needs (Cosenz and Bivona 2021 38; Przychodzen and Przychodzen 2013). By navigating challenges and leveraging inherent strengths, unlisted firms can play a critical role in shaping a more sustainable and competitive business landscape.

4.2 Measurement of Variables

In the existing literature, firm growth is often measured using proxies such as sales, total assets, profitability ratios and employment levels (Ali and Shabir 2017; Audretsch, Coad and Segarra 2014; Reuber and Fischer 2002). This paper uses the WBES, focusing on sales, employment and asset growth. Kasznik and McNichols' (2002) insights guide the evaluation, emphasising that corporate strategies aim for both growth and profitability as fundamental determinants of a firm's overall value. Positive net present value investment opportunities are crucial for delivering value to shareholders (Kasznik and McNichols 2002). These opportunities, viewed as growth options, encompass efforts to enhance profitability, scale existing operations and explore new business domains (Ataünal, Gürbüz and Aybars 2016). The present study recognises the organisation's inclination towards prioritising growth over immediate profits, highlighting the pivotal role of growth rates in long-term success (Geroski, Machin and Walters 1997). Annual employment and asset growth are also assessed, creating a comprehensive framework for understanding firm growth dynamics and their interconnectedness with profitability and value creation. A firm's engagement in ESG activities may help satisfy its stakeholders, including society, environmentalists and ethical investors (Manita et al. 2018; Shin 2014). Stakeholder theory also suggests that socially and environmentally responsible firms enjoy better financial performance, as ESG performance motivates all concerned stakeholders to achieve organisational goals (Aouadi and Marsat 2016). In this research, the ESG index is developed by using different proxies of environmental, social and governance measures. The composition of the ESG index is shown in Table 2.

In addition, this study controlled several firm-specific and country-level variables to deal with the issues of reverse causality, endogeneity and simultaneity (Buallay 2019). The firms' specific variables include size, industry type, multi-established firm and sole proprietorship, whereas the country-level specific variables include liquidity ratio, FDI and inflation. The operational definition of the variables is presented in Table 1.

TABLE 1. Definition of variables.
Variable name Definition Citation/reference
Dependent variables—growth of firm
Sales growth Sales growth is determined by comparing sales figures from the current fiscal year to those of a previous period. Moreno-Menéndez and Casillas (2021)
Employment growth Employment growth is calculated by comparing the number of full-time employees in the current fiscal year to that of a previous period. Ali and Shabir (2017)
Asset growth In the fiscal year, did this establishment purchase any new or used fixed assets, such as machinery, vehicles, equipment, land, or buildings, including expansion and renovations of existing structures? Ferrazzi and Tueske (2022); Havlinova and Kukacka (2021); Park and Jang (2021)
Explanatory variables
ESG index WBES is used Cheng, Ioannou, and Serafeim (2014)
Firm-level control variables
Small firms Fewer than 20 employees Friesen and Wacker (2013); Zhang and Wellalage (2022)
Manufacturing firms Firm representing the manufacturing industry (1 = yes, 0 = otherwise) Wellalage and Thrikawala (2021)
Sole-proprietorship The current legal status of the firm Williams, Martinez-Perez, and Kedir (2016); Zhang and Wellalage (2022)
Multi-established Part of a larger organization Friesen and Wacker (2013)
Country-level control variables
Liquidity ratio Total reserves comprise holdings of monetary gold, special drawing rights, and foreign exchange holdings under the control of monetary authorities. Capelle-Blancard et al. (2019)
FDI This is the net inflow of foreign direct investment in an economy as a share of GDP. The net inflows of investment are to acquire a lasting management interest (10% or more of voting stock) in an enterprise operating in an economy other than the investor's. Khaled, Ali, and Mohamed (2021); Tauringana et al. (2021)
Inflation Annual % change in the cost of consumer goods and services. Tauringana et al. (2021)

4.3 Model Specification

Regression estimates the strength of the relationship between independent and dependent variables. Regression reliability is related to selecting and using an appropriate method according to the nature of the data (Zahid et al. 2020). We use the following three baseline regression models to estimate the relationship between ESG and individual dimensions of growth of unlisted firms by using ordinary least squares (OLS)
SG = β 0 + β 1 ESGindex + β 2 Xi + β 3 Zi + Error (1)
EG = β 0 + β 1 ESGindex + β 2 Xi + β 4 Zi + Error (2)
AG = β 0 + β 1 ESGindex + β 2 Xi + β 3 Zi + Error (3)

In Equations (1), (2) and (3), SG, EG and AG are dependent variables. The ESG index is an independent variable, Xi is a firm-level control variable and Zi is a country-level control variable. The results of baseline regression are reported in Table 4, but it is not an appropriate choice as it produces biased and inconsistent estimates in the presence of endogeneity (Weeks 2002). We apply the Breusch–Pagan/Cook–Weisberg test to check heteroscedasticity, and the results show an inconsistent variance in Model III only, as reported in Table 4.

Similarly, the Wu–Hausman test is used to check the endogeneity problem, and the results in Table 5 show an endogeneity problem in all three regressions. Therefore, in line with numerous prior studies (Hoepner and Yu 2010; Nyborg and Zhang 2013; Wellalage, Locke and Acharya 2018; Wellalage and Kumar 2021; Zhang and Fang 2022), this research adopts the country–industry average score of ESG as an instrumental variable (Table 2). This choice accounts for potential regional variations that may impact a firm's performance differently (Goss and Roberts 2011). Additionally, family ownership concentration and innovation are instrumental variables in the study. The approach involves a two-stage regression, incorporating family ownership concentration, process innovation and average ESG scores for both firms and countries. This methodology is consistent with previous studies (Rahman, Zahid and Al-Faryan 2023; Wellalage and Kumar 2021; Zahid et al. 2020). Moreover, in the case of model III, robust 2SLS is used due to the presence of inconsistent variance in the estimates. We check the validity of instruments by applying the Wald test. The value of the F statistics is greater than the critical value: Hence, we can accept the alternate hypothesis that the instruments are strong (Stock and Yogo 2002).

TABLE 2. Composition of ESG Index.
Environment Environmental awareness Monitor/external audit, targets of energy consumptions, CO2, water, pollution Ferrazzi and Tueske (2022); Havlinova and Kukacka (2021); Park and Jang (2021)
Green management Strategic objective monitoring environment, manager responsible, certifications
Green measures Heating and cooling improvements, upgrade of machines and vehicles Ferrazzi and Tueske (2022; Wellalage et al. (2022)
Social Gender Female owner, female top managers, female employees Elisabetta and Iannuzzi (2017); Ferrazzi and Tueske (2022); Sikacz and Wolczek (2018)
Education and skills Secondary school completion Ferrazzi and Tueske (2022); Sikacz and Wolczek (2018)
Training Formal training programs
Governance Corporate governance Writing business strategy with KPIs, board of directors, meetings with supplier Ferrazzi and Tueske (2022); Havlinova and Kukacka (2021); Park and Jang (2021)
Management practices Monitor performance indicators, production targets, and promotion of non-managers.
Internal control and audit Certified fiscal statement, internationally recognised quality certifications
Compensation Performance bonuses for managers
Innovation R& D, purchase of fixed assets, use of technology from foreign country

5 Empirical Analysis

5.1 Descriptive Analysis

Table 3 shows the descriptive statistics for all the variables. SG, EG and AG have average values of 1.629, 3.054 and 41.786, respectively. The statistics indicate that firms' asset growth exceeds sales and employment growth. This suggests that unlisted firms emphasise the AG of the business more than SG and EG. Likewise, ESG has a mean value of −0.0607, indicating that most sample firms do not prefer sustainable initiatives to increase their growth. The firm-level control variables, including small, manufacturing, multi-established firms and sole proprietors, have mean values of 0.4454, 0.1405 and 0.1070, respectively. Country-level control variables, namely liquidity ratio, FDI and inflation, have mean values of 0.5012, 0.36940 and 4.1551, respectively. Correlation analysis is provided in Appendix 2. The statistics show that ESG positively relates to SG, EG and AG. Both sole proprietorship and multi-established firms contribute positively to all three growth variables. None of the values is greater than 3 in the correlation matrix, which indicates that results are free from biases (Hair et al. 2012). Moreover, the VIF value is also less than the threshold value of 10 (Rahman, Zahid and Al-Faryan 2023; Zahid et al. 2020).

TABLE 3. Descriptive statistics.
Variables Model I Model II Model III
Mean SD Mean SD Mean SD
Sales growth 1.629 11.782
Employment growth 3.0542 7.854
Asset growth 41.786 49.322
ESG −0.0607 2.0932 −0.0607 2.0932 −0.0607 2.093
Small firms 0.4454 0.4970 0.4454 0.4970 0.4454 0.4970
Manufacturing firms 0.5685 0.4952 0.5685 0.49529 0.5685 0.4952
Sole proprietorship 0.1405 0.3475 0.1405 0.3475 0.1405 0.3475
Multi-established firms 0.1070 0.3091 0.1070 0.3091 0.1070 0.3091
Liquidity ratio 0.5012 0.2721 0.5012 0.2721 0.5013 0.2721
FDI 3.6940 2.0472 3.6940 2.0472 3.6940 2.0472
Inflation 4.1551 4.0093 4.1551 4.0093 4.1551 4.0093

5.2 Findings

Table 4 shows the estimation results for Model I (SG), Model II (EG) and Model III (AG). In the three regressions, the value of R2 for Model I is 0.0721, for Model II is 0.0133 and for Model III is 0.1439, indicating that Model III has a better goodness of fit due to a more significant R2 value. For these OLS regressions, the estimated coefficients represent the changes in growth variables in response to a one-unit change in explanatory variables, ESG and control variables. All three models indicate a statistically significant relationship between the ESG index and the growth variables at a 1% significance level, supporting H1, H2 and H3. The probability of an increase in AG, SG and EG is 6.50%, 5.23% and 2.37%, respectively. The results are consistent with previous studies (Khamisu, Paluri and Sonwaney 2024; Lee and Raschke 2023; Rajesh 2020; Sadiq et al. 2020; Zhou, Liu and Luo 2022), but the extant studies lack the relationship between ESG and SG, EG and AG for unlisted firms in EECA. Significant and positive relationships indicate the impact of organisations embracing ESG initiatives in safeguarding the legitimate rights of stakeholders. Beyond regulatory compliance, a commitment to ethical practices resonates positively with stakeholders, enhancing an organisation's reputation and overall growth. Stakeholders, including customers and investors, increasingly value businesses dedicated to social and environmental responsibility, strengthening relationships, trust and reciprocity (Bagh et al. 2024). By integrating these initiatives based on legitimacy and stakeholder theory, organisations can strengthen their legitimacy, build positive stakeholder relationships and enhance overall firm growth. Delmas and Blass (2010) also note that corporations significantly contribute to greenhouse gas emissions through their manufacturing processes, energy consumption and supply chain activities, contributing to global warming and climate change. Our results align with the concept of stakeholder theory. Based on our findings, the stakeholder theory confirms the positive impact of ESG initiatives on firms' sales, employment and asset growth by highlighting the strategic importance of meeting stakeholders' expectations. Our results indicate that companies focusing on ESG factors are better able to build confidence and boost relationships with key stakeholders, which directly help firms' growth. The results are aligned with previous studies (Bagh et al. 2024; Khamisu, Paluri and Sonwaney 2024; Zahid et al. 2020; Zhou, Liu and Luo 2022). As in previous studies, the findings also suggest that incorporating ESG factors into business operations can enhance a company's legitimacy, enabling it to secure a social license to operate in a competitive environment. This, in turn, can lead to improvements in reputation, driving growth in areas such as sales, employment and asset value (Lee and Raschke 2023; Minutolo, Kristjanpoller and Stakeley 2019).

TABLE 4. Baseline results.
Variables Model I Model II Model III
ESG 0.523*** [0.090] 0.237*** [0.056] 6.050*** [0.346]
Small firms 2.214* [1.279] −1.580** [0.076] −6.692 [4.622]
Manufacturing −1.381*** [0.391] −1.011*** [0.246] −3.345** [1.508]
Sole proprietorship −0.447 [0.638] 1.073*** [0.389] −1.419 [2.410]
Multi-established firm 0.449 [0.489] 0.463 [0.309] −2.499 [1.911]
Liquidity ratio −1.278* [0.745] 1.257** [0.486] −4.465 [2.966]
FDI 0.160 [0.100] 0.152** [0.063] 5.244*** [0.389]
Inflation −0.551*** [0.052] 0.011 [0.030] −0.475** [0.191]
R square 0.0721 0.0133 0.1439
Chi2(1) 2.61 0.03 13.33
Prob > chi2 = 0.105 0.855 0.0003
P > F 0.000 0.000 0.0000
  • Note: ***, **, and * indicate variables are significant at 1%, 5%, and 10% levels of significance, respectively. Standard errors are given in parentheses.

To our knowledge, this is the first research to determine the relationship between ESG and the growth of unlisted firms. A range of other studies (Buallay 2019; Chouaibi, Chouaibi and Rossi 2021; Liu, He and Yan 2014; Porter and Kramer 2006; Rettab, Brik and Mellahi 2009; Velte 2017) find a positive relationship between ESG and firm performance of listed firms, but these previous studies did not focus on unlisted firms in the EECA region.

Regarding control variables, the estimates have marginally different significance levels and magnitudes for Model I, Model II and Model III. ESG initiatives, in the case of small-sized firms, significantly contribute to sales growth (Minutolo, Kristjanpoller and Stakeley 2019) but negatively contribute to employment and asset growth as they face a lack of resources. Manufacturing firms negatively contribute to growth prospects due to heavy investment in ESG activities and limited access to finance from financial institutions (Zhang and Wellalage 2022). With regard to the legal ownership structure of firms and multi-established firms, our research indicates that sole proprietorships do not significantly contribute to the business's sales, employment and asset growth. In the case of country-level control variables, the results show that a high liquidity ratio positively contributes to employment growth and negatively contributes to employment sales and asset growth. A possible reason is that a high liquidity ratio signals financial stability, encouraging investment in ESG initiatives and job creation. Governments may use their liquidity to support social and environmental projects, promoting ESG and employment growth. Excessive liquidity can represent missed investment opportunities as funds are not used for productive assets or sales expansion.

Low interest rates associated with high liquidity may reduce lending incentives, affecting asset and sales growth. Concerns about inflation with high liquidity may lead businesses to invest in physical assets or increase sales instead of holding onto cash. Inflation negatively influences the sales growth and asset growth of unlisted firms. As indicated in previous studies, it also exposes more challenges for unlisted firms to compete with other business ventures, including listed firms (Egbunike and Okerekeoti 2018; Mirza and Javed 2013; Odusanya, Yinusa and Ilo 2018). The positive FDI coefficient in all three regression models is consistent with the conclusions drawn by Pattitoni, Petracci and Spisni (2014) and Pervan, Pervan and Ćurak (2019) because the continuous increase in FDI helps countries to attain economic stability, which in turn results in business opportunities, leading to economic prosperity.

5.3 Endogeneity

An endogenous variable is associated with the error term in a regression model, which could be due to omitted variables and measurement errors (Weeks 2002), and the problem of endogeneity can be resolved by including instrumental variables (Weeks 2002). In all three regression models, a problem of endogeneity was found, and OLS regression showed biased and inconsistent estimates. To resolve the problem of endogeneity and biased results, we used average ESG value for industry and country, process innovation and concentration of family ownership, as previous studies proposed different instrumental variables including lagged values of ESG, financial performance, equity ownership, executive compensation and corporate governance practices (Brammer and Millington 2005; Garcia-Castro, Ariño and Canela 2010; Van Duuren, Plantinga and Scholtens 2016).

Unlike listed firms, family ownership of unlisted firms is more likely to result in better performance due to the bonds between family members and the mutual interest or benefit they have in their family business (Borralho et al. 2022). Such family setups, with an increasing number of family members, require unlisted firms to keep on improving and demonstrating better operations. This primarily requires process innovation and upgrading, contributing to better firm performance and ESG context (Borralho et al. 2022). Table 5 shows a significant positive relationship between ESG and all growth dimensions. The results are consistent with previous research (Orlitzky 2013; Rahman, Zahid and Al-Faryan 2023; Wang et al. 2020; Zahid et al. 2020) The strong positive relationship underscores the impact of organisations adopting ESG initiatives on upholding stakeholders' legitimate rights. Going beyond mere regulatory compliance, a commitment to ethical practices fosters trust and goodwill among stakeholders, boosting an organisation's reputation and supporting its growth.

TABLE 5. Two-stage least square estimation.
Variables Model I Model II Model III
ESG 0.985*** [0.277] 0.608*** [0.176] 14.462*** [1.127]
Small firms 2.628** [1.2642] −1.255 [0.782] 0.422 [5.346]
Manufacturing −1.726*** [0.445] −1.279*** [0.282] −9.771*** [1.826]
Sole proprietorship −0.107 [0.658] 1.311*** [0.404] 3.329 [2.862]
Multi-established firm 0.179 [0.524] 0.221 [0.333] −8.463*** [2.232]
Liquidity ratio −1.015 [0.774] 1.545*** [0.503] 2.444 [3.287]
FDI 0.221** [0.103] 0.179*** [0.006] 5.895*** [0.421]
Inflation −0.466*** [0.069] 0.076* [0.042] 0.920*** [0.274]
R square 0.0675 0.0056 0.0314
Durbin score 3.1908* 4.867** 69.207***
Wu–Hausman F 3.1849* 4.861** 74.200***
Wald F 149.86*** 165.72*** 163.74***
  • Note: ***, **, and * indicate variables are significant at 1%, 5%, and 10% levels of significance, respectively. Standard errors are given in parentheses.

By using 2SLS, the research removes the endogeneity and the influence of ESG on firm growth, providing consistent estimators that yield a more reliable understanding of the relationship (Soytas, Denizel and Usar 2019; Stock and Yogo 2002). The coefficient in the case of 2SLS is more evident than in OLS, and the estimators are consistent in both cases. These findings support the hypothesis of the current study that ESG performance has a significant positive effect on firm growth after endogeneity control (Soytas, Denizel and Usar 2019). The results align with stakeholder theory and legitimacy theory (Donaldson and Preston 1995; Freeman, Harrison and Zyglidopoulos 2018) because firms can satisfy stakeholders by improving growth through legitimate ESG-related strategies in their business processes. According to stakeholder theory, firms that consider the stake of their stakeholders gain their support, fidelity and confidence, which can influence long-term monetary goals (Donaldson and Preston 1995; Freeman, Harrison and Zyglidopoulos 2018). For example, improved environmental performance and robust social and governance practices can attract stakeholders. Legitimacy theory further supports the study's findings: Companies gain a ‘license to operate’ by aligning with social norms and public expectations (Suchman 1995).

5.4 Robustness

Two countries, Turkey and Montenegro, contributed the most significant and minor numbers of observations to our entire sample. To lessen the concern that these countries could create bias in the results, we excluded both countries from the entire sample. The results reported in Tables 6 and 7 are like those in Tables 4 and 5. All these findings indicate that our main findings are not influenced by the countries involved.

TABLE 6. Regression results after excluding Turkey and Montenegro for robustness.
Variables Model I Model II Model III
ESG 0.576*** [0.095] 0.243*** [0.058] 5.744*** [0.363]
Small firms 2.466** [1.283] −2.08*** [0.787] −6.746 [4.858]
Manufacturing −1.657*** [0.407] −1.14*** [0.252] −3.927** [1.569]
Sole proprietorship −1.245* [0.664] 0.805** [0.398] −3.659 [2.517]
Multi-established firm 0.259 [0.508] 0.427 [0.316] −3.172 [1.978]
Liquidity ratio −0.301 [0.756] 1.492*** [0.484] −2.622 [2.999]
FDI 0.266*** [0.102] 0.180** [0.063] 5.486*** 0.396]
Inflation −1.0937*** [0.087] −0.144*** [0.052] −1.849*** [0.324]
R square 0.0780 0.0217 0.1307
Chi2(1) 23.43 0.03 21.51
Prob > chi2 = 0.000 0.8711 0.000
P > F 0.000 0.000 0.000
  • Note: ***, **, and * indicate variables are significant at 1%, 5%, and 10% levels of significance respectively. Standard errors are given in parentheses.
TABLE 7. Two-stage least square estimation after excluding Turkey and Montenegro for robustness.
Variables Model I Model II Model III
ESG 1.008*** [0.293] 0.657*** [0.177] 14.557*** [1.144]
Small firms 2.934** [1.499] −1.653** [0.816] 2.045 [5.668]
Manufacturing −1.978*** [0.463] −1.450*** [0.290] −10.745*** [1.916]
Sole proprietorship −0.973 [0.693] 1.040** [0.412] 0.658 [2.782]
Multi-established firm 0.0.17 [0.514] 0.155 [0.340] −9.213*** [2.311]
Liquidity ratio −0.015 [0.711] 1.826*** [0.504] 5.066 [3.314]
FDI 0.326*** [0.104] 0.210*** [0.065] 6.194*** [0.430]
Inflation −1.028*** [0.099] −0.083 [0.057] −0.666** [0.400]
R square 0.0723 0.0087 0.0024
Durbin score 2.704* 6.1853** 73.732***
Wu–Hausman F 2.692* 6.1789** 79.368***
Wald F 146.44*** 157.048*** 164.728***
  • Note: ***, **, and * indicate variables are significant at 1%, 5%, and 10% levels of significance respectively. Standard errors are given in parentheses.

6 Conclusion

Previous studies have mainly explored the relationship between ESG and financial performance but there is a lack of research on ESG and dimensions of growth for EECA unlisted firms. We investigated whether the policies and initiatives of unlisted firms adopting ESG initiatives would improve, reduce or have no impact on their growth. The study used data from WBES for 19,956 unlisted EECA firms. According to stakeholder theory, business firms' primary purpose is to balance current and prospective stakeholders by including policies incorporating social, environmental, economic and governance parameters. The findings of this study indicate that a better focus on ESG initiatives by unlisted firms in making policy decisions has a positive and significant impact on their growth.

This study is potentially of value to the management of unlisted firms and corporate stakeholders of unlisted firms of the EECA region for several reasons. First, implementing ESG initiatives provides a mechanism for efficient resource use to produce environmentally friendly products. It addresses the diverse cultural, social and environmental challenges in the EECA region. By incorporating regional cultural considerations into ESG strategies, firms can enhance their social responsibility and contribute positively to local communities. Environmental challenges specific to this region, such as biodiversity loss, water scarcity and pollution, necessitate a tailored approach to ESG implementation. Firms that actively address these challenges through sustainable practices contribute to environmental conservation and position themselves as responsible corporate citizens, ultimately enhancing the business's growth prospects. Second, firms and society are likely to reap the benefits of ESG practices in the form of better products and services. Also, people consider such entities to have a more legitimate role in society by engaging in resource-saving activities and leaving sufficient room for future generations. Third, governance issues have also become a significant part of the compliance framework to help organisations, policymakers and regulators ensure transparency, equity and accountability by all entrusted with governance, to safeguard institutional and social interests. In addition, ESG factors collectively reflect the measures that regulators, policymakers, societies and individuals need to endorse to devise long-term solutions for current and future generations. As a result, the ESG elements, as the pillars of sustainability, should be considered essential factors by firms for applying sustainable practices to achieve sustainable performance and growth.

Although this research makes a significant contribution to the existing literature, it also has limitations that suggest opportunities for further study. First, this study is limited to unlisted firms in the EECA region, due to the availability of data related to the green economy module. The unique economic and regulatory dynamics of this region, including varying levels of ESG integration, economic development and environmental priorities, may influence the observed relationship between ESG and firm growth in ways that differ from other regions. Consequently, these results may not be generalisable to other regions where ESG practices are shaped by different market conditions, regulatory pressures and cultural factors. Future research could address this limitation by gathering primary data from other regions, allowing for broader analysis across additional countries to strengthen and contextualise the understanding of the ESG–firm growth relationship. Second, future studies could enhance this research by exploring data at the city level, which could uncover local patterns and provide a more detailed view of ESG's effects. Lastly, this study considers the combined impact of ESG factors. Future research could investigate each component of ESG individually to better understand their unique contributions and potentially refine the overall impact of ESG.

Acknowledgments

Open access publishing facilitated by The University of Waikato, as part of the Wiley - The University of Waikato agreement via the Council of Australian University Librarians.

    Endnotes

  1. 1 https://www.bloomberg.com/professional/blog/esg-assets-may-hit-53-trillion-by-2025-a-third-of-global-aum/.
  2. 2 https://www.undp.org/eurasia/our-focus/environment.
  3. 3 https://www.worldbank.org/en/region/eca/brief/climate-change-in-europe-and-central-asia.
  4. Appendix 1: Sample distribution

    Sr. no. Country name No. of firms % of total sample
    High-income countries
    1 Czech Republic 502 2.52
    2 Hungary 805 4.03
    3 Italy 760 3.81
    4 Latvia 359 1.80
    5 Lithuania 358 1.79
    6 Poland 1369 6.86
    7 Portugal 1062 5.32
    8 Romania 814 4.08
    9 Slovenia 409 2.05
    10 Croatia 404 2.02
    11 Cyprus 240 1.20
    12 Estonia 360 1.80
    13 Slovak Republic 429 2.15
    Upper middle income
    14 Albania 377 1.89
    15 Azerbaijan 225 1.13
    16 Bosnia and Herzegovina 362 1.81
    17 Bulgaria 772 3.87
    18 Georgia 581 2.91
    19 Kazakhstan 1446 7.25
    20 Montenegro 150 0.75
    21 North Macedonia 360 1.80
    22 Russia 1323 6.63
    23 Serbia 361 1.81
    24 Armenia 546 2.74
    25 Kosovo 271 1.36
    26 Turkey 1663 8.33
    Lower middle income
    27 Moldova 360 1.80
    28 Ukraine 1337 6.70
    29 Uzbekistan 1239 6.21
    30 Kyrgyz Republic 360 1.80
    31 Tajikistan 352 1.76
    Total sample 19,956 100.00

    Appendix 2: Pearson's correlation matrix

    Variables VIF 1 2 3 4 5 6 7 8 9 10 11
    Sales growth (1) 1
    Employment growth (2) 0.400 1
    Asset growth (3) 0.201 0.128 1
    ESG (4) 1.16 0.142 0.066 0.277 1
    Small firms (5) 1.01 0.201 −0.045 −0.0411 −0.084 1
    Manufacturing (6) 1.08 −0.074 −0.065 −0.030 0.157 −0.060 1
    Sole proprietorship (7) 1.04 0.014 0.0557 0.018 −0.063 0.019 −0.112 1
    Multi-established firm (8) 1.03 0.053 0.036 0.052 0.140 −0.031 −0.040 −0.017 1
    Liquidity ratio (9) 1.14 −0.063 0.014 −0.105 −0.063 0.040 0.068 −0.010 −0.075 1
    FDI (10) 1.43 0.145 0.046 0.282 0.047 0.0120 −0.169 0.151 0.0761 −0.322 1
    Inflation (11) 1.38 −0.244 −0.039 −0.228 −0.275 0.0215 0.109 −0.104 −0.116 0.080 −0.438 1
    • Note: Above values represent the Pearson's correlation matrix for testing whether and how two variables relate to each other.

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