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25 

        MULTIDISCIPLINARY SCIENTIFIC RESEARCH 
          BJMSR VOL 9 NO 4 (2024) P-ISSN 2687-850X E-ISSN 2687-8518 

         Available online at https://www.cribfb.com 

     Journal homepage: https://www.cribfb.com/journal/index.php/BJMSR 

                                                                                                                                                                                                    Published by CRIBFB, USA 
                                                                                                                                     

THE IMPACTS OF ENVIRONMENTAL MANAGEMENT 

ACCOUNTING SYSTEM (EMAS) ADOPTION PHASES ON 

SUSTAINABILITY PERFORMANCE: A SOCIAL ISSUE LIFE 

CYCLE THEORY APPROACH          
 

 Nirman Noor Afiqi Mat Yusoh  (a)   Tuan Zainun Tuan Mat  (b)1  Azizah Abdullah (c)   
 

(a) Senior Assistant Director, Department of Environment, Ministry of Natural Resources and Environmental Sustainability, Malaysia;  

E-mail: nirman@doe.gov.my 
(b) Associate Professor, Fakulti Perakaunan, Universiti Teknologi MARA Cawangan Selangor, Kampus Puncak Alam, Malaysia; E-mail: 

tuanz693@uitm.edu.my 
(c) Fakulti Perakaunan, Universiti Teknologi MARA Shah Alam, Malaysia; E-mail: aziza588@uitm.edu.my 
                     

 
A R T I C L E I N F O 

 
 

Article History: 

 

Received: 27th May 2024 

Reviewed & Revised: 27th May 

to 30th August 2024 

Accepted: 1st September 2024 

Published: 11th September 2024 

 
Keywords: 

 

Environmental Management Accounting 

System (EMAS), Policy Phase, Learning  

Phase, Commitment Phase, Sustainability 
Performance 

 
JEL Classification Codes: 

 
G32, F65, L66, L25, M41 

 

      Peer-Review Model:  

 

      External peer review was done through  

      double-blind method.        

 
A B S T R A C T      
 
Environmental problems have emerged as a critical concern requiring proactive intervention from 

corporations. The accelerating pace of industrialization has exacerbated environmental degradation, 

highlighting the significant impact of business operations on the environment. Nevertheless, more than 

conventional management accounting systems are needed to address contemporary business operations' 
evolving demands, particularly concerning environmental issues. This study addresses these issues by 

examining the impacts of the Environmental Management Accounting System (EMAS) adoption phases 

on sustainability performance among publicly listed companies (PLCs) in Malaysia. This study employs 

the social issue life cycle theory to measure EMAS adoption phases and the triple bottom line for 

sustainability performance. This study uses survey data gathered from 205 PLCs in Malaysia, focusing 

on chief financial officers (CFOs), finance directors, finance managers, and project managers. Cluster 

and simple random sampling techniques were employed to obtain a representative sample. Analytical 

methods include analysis of variance, Tukey's post hoc test and ordinary least squares regression 
analysis. The findings reveal that most companies are in the learning phase of EMAS adoption. The 

study shows a significant negative impact of EMAS adoption during the policy phase on sustainability 

performance. Conversely, EMAS adoption has an insignificant positive impact on sustainability 

performance in the learning phase. However, the findings suggest that the commitment phase of EMAS 

adoption significantly and positively impacts improved sustainability performance. This study 

contributes to existing knowledge by emphasizing the need to enhance organizational awareness of 

EMAS adoption and facilitating more effective management of environmental issues to achieve superior 
sustainability performance. 

 
 

© 2024 by the authors. Licensee CRIBFB, USA. This open-access article is distributed under the 
terms and conditions of the Creative Commons Attribution (CC BY) license 
(http://creativecommons.org/licenses/by/4.0).  

            

 

INTRODUCTION 

Current global economic activities have yielded adverse outcomes, including the depletion of natural resources and negative 

impacts on human health (Mengzhuo & Noordin, 2022). This situation has spurred a growing public awareness of 

sustainable development, leading to significant stakeholder demands for companies to adopt cleaner and safer environmental 

practices (Sandamini & Dissanayake, 2022). Businesses now bear accountability beyond their fundamental stakeholder 

responsibilities (Asa’d et al., 2024). Consequently, companies must continuously balance economic performance with social 

accountability and environmental security to uphold corporate sustainability in a highly competitive market. 

As Malaysia progresses towards an industrialized economy, it faces substantial challenges in avoiding 

environmental issues. Malaysia grapples with several problems, such as biodiversity degradation, climate change, hazardous 

waste management, exploitation of natural resources, and pollution (Che Ku Kassim et al., 2022; Razak et al., 2020). Public 

listed companies (PLCs) typically consume significant amounts of resources such as energy, water, and non-durable items 

due to the nature of their business operations. The business sector in Malaysia is also a significant contributor to 

environmental pollution, particularly through the discharge of untreated or inadequately treated industrial effluents. The 

escalating deterioration of the environment, coupled with the increasing scarcity of natural resources, has created significant 

                                                      
1Corresponding author: ORCID ID: 0000-0001-7319-0798 
© 2024 by the authors. Hosting by CRIBFB. Peer review under responsibility of CRIBFB, USA. 

https://doi.org/10.46281/bjmsr.v9i4.2245 

 
To cite this article: Yusoh, N. N. A. M., Mat, T. Z. T., & Abdullah, A. (2024). THE IMPACTS OF ENVIRONMENTAL MANAGEMENT 

ACCOUNTING SYSTEM (EMAS) ADOPTION PHASES ON SUSTAINABILITY PERFORMANCE: A SOCIAL ISSUE LIFE CYCLE THEORY 

APPROACH. Bangladesh Journal of Multidisciplinary Scientific Research, 9(4), 25-38. https://doi.org/10.46281/bjmsr.v9i4.2245 

http://creativecommons.org/licenses/by/4.0/)
http://creativecommons.org/licenses/by/4.0/)
https://www.openaccess.nl/en
https://doi.org/10.46281/bjmsr.v9i4.2245
https://orcid.org/0009-0003-7270-4998
https://orcid.org/0000-0001-7319-0798
https://orcid.org/0000-0003-0311-8461


Yusoh et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 25-38

 

26 

pressure on companies to integrate environmental management practices into their operational frameworks. This pressure 

is compounded by the growing concern of key stakeholders, including customers, suppliers, investors, non-governmental 

organizations (NGOs), and government agencies. These concerns have catalyzed a global demand for businesses to mitigate 

their negative environmental impacts.  

Thus, companies must be intensely concerned about environmental issues and reassess their sustainability 

performance (Bresciani et al., 2023). In response to these heightened expectations, companies have been compelled to 

explore and adopt various environmental management strategies, elevating environmental sustainability to a central 

component of strategic management. The limitations of conventional management accounting systems, particularly their 

inability to furnish relevant information on environmental issues for managerial decision-making, have led to the emergence 

of a specialized field known as Environmental Management Accounting System (EMAS) (Rahmawati et al., 2024; Ferdous 

et al., 2019). EMAS is recognized as a new practice that effectively identifies and manages environmental costs (Hasan et 

al., 2024). Furthermore, EMAS is a critical tool that provides managers with essential information for planning, decision-

making, and controlling environmental practices within organizations. 

However, previous studies indicate that EMAS adoption needs to be stronger, particularly in developing countries 

(Gerged et al., 2024; Mokhtar et al., 2016). Despite the relevance of this emerging field, existing literature has yet to 

investigate the impact of EMAS on sustainability performance thoroughly. The evolving global business landscape has 

pressured Malaysian companies to enhance their organizational performance and accountability to stakeholders and the 

environment. Businesses must now balance economic, social and environmental considerations (Solovida & Latan, 2021). 

The integration of environmental factors into corporate decision-making processes is essential for fostering resource 

conservation and reducing pollution (Abdelhalim et al., 2023) 

Consequently, this study aims to identify the phases of EMAS adoption through the lens of social issue life cycle 

theory. Additionally, it examines the impacts of these EMAS adoption phases on the sustainability performance of PLCs in 

Malaysia. Through this dual focus, the study contributes valuable insights into the dynamic interplay between EMAS 

adoption and sustainability performance, offering a nuanced perspective particularly relevant to the Malaysian corporate 

context. The study utilizes several analytical techniques, including Analysis of Variance (ANOVA), Tukey's post hoc test, 

and Ordinary Least Squares (OLS) regression analysis, to examine the impact of EMAS adoption phases (learning, policy, 

and commitment) on sustainability performance among PLCs in Malaysia. These analytical methods collectively enable a 

comprehensive evaluation of how each phase of EMAS adoption affects sustainability performance. The findings reveal 

that EMAS adoption during the policy phase significantly harms sustainability performance. In contrast, the learning phase 

(Faisal-E-Alam, 2024) shows a small, insignificant positive effect. However, the commitment phase of EMAS adoption 

significantly improves sustainability performance. This study contributes to understanding by demonstrating the varying 

impacts of EMAS adoption phases on sustainability performance, particularly in the context of PLCs in Malaysia. This 

insight can guide managers in strategically planning and implementing EMAS to align with their sustainability goals. 

The remaining paper structure includes Section Two, which reviews the literature on the relationship between 

EMAS adoption phases and sustainability performance. Section Three details the study’s methodology, including the sample 

selection and data analysis techniques. Results are presented in Section Four and the study's discussions and conclusions 

are provided in Section Five. 

 

LITERATURE REVIEW 

Environmental Management Accounting System (EMAS) 

EMAS is a comprehensive corporate environmental management method designed to enhance organizations' sustainability 

performance and mitigate environmental impacts (Burritt et al., 2023). EMAS encompasses identifying, measuring, 

allocating, and integrating environmental costs within business operations (Schaltegger et al., 2022). Scholars argue that 

conventional management accounting systems fail to provide adequate information for managing environmental costs (Che 

et al. et al., 2022). Traditional systems often allocate environmental costs to general overhead accounts, resulting in potential 

environmental-related costs obscured within indirect costs (Doorasamy & Nyahuna, 2021). 

The need for relevant environmental information can help corporate decision-makers make informed and rational 

decisions (Rahmawati et al., 2024; Mokhtar et al., 2016). Thus, EMAS is regarded as a practice that aligns corporate 

activities with environmental considerations (Zandi & Lee, 2019). EMAS delivers both Physical Environmental 

Management Accounting (PEMA) information, which includes data on energy, water, and material usage, and Monetary 

Environmental Management Accounting (MEMA) information, which covers environment-related costs, earnings, and 

savings (Hasan et al., 2024). Accurate information flow facilitates the transformation of business resources into optimal 

investments and decisions (Swalih et al., 2024; Burritt et al., 2019). This study defines EMAS as generating, analyzing and 

utilizing monetary and physical environment-related information to enhance sustainability performance. 

 

EMAS Adoption among Malaysian Public Listed Companies 

The adoption of the EMAS has significant potential to assist Malaysian industries in addressing environmental challenges 

(Razak et al., 2020). The perceived benefits of EMAS have motivated organizations to adopt this practice to enhance their 

competitive advantage (Swalih et al., 2024; Ariffin, 2020). Companies with superior sustainability performance can achieve 

long-term financial and social benefits and improve their decision-making capabilities (Abdelhalim et al., 2023). 

Additionally, EMAS aids companies in measuring environmental impacts and allocating costs related to income and savings 

derived from environmental activities (Indrani et al., 2020). Despite these benefits, the adoption of EMAS in Malaysia 

remains relatively low compared to other Asia-Pacific countries (Rasit et al., 2020; Razak et al., 2020). Previous studies on 

EMAS adoption in Malaysia have been limited in scope, particularly concerning the factors influencing adoption. This study 



Yusoh et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 25-38

 

27 

addresses the gap by exploring the phases of EMAS adoption and their impact on sustainability performance in a developing 

country. 

 

Social Issue Life Cycle Theory 

This theory posits that a company’s reaction to social issues, including environmental impacts, is not a series of random 

changes but a constant effort to discover the most adequate solution to the problem. Prior research suggests that issues 

evolve through three distinct phases: from an "insignificance" stage, through an "increased concern" phase, to a final phase 

where a recognized solution is accessible (Zyglidopoulos, 2003). However, most studies have concentrated on EMAS 

adoption, neglecting to investigate the specific phases of EMAS adoption, namely policy, learning, and commitment 

(Mokhtar et al., 2014). Thus, the social issue life cycle theory presents a suitable framework for examining the impact of 

EMAS adoption phases on sustainability performance among PLCs in Malaysia. This study aims to fill existing gaps by 

determining whether the various phases of EMAS adoption negatively or positively impact sustainability performance. 

 

Policy Phase 

In the policy phase, environmental issues typically emerge as primary management concerns. Companies often need more 

formal strategies to address these issues, as immediate stakeholder expectations are not a pressing priority. Instead, 

management commonly issues a general statement or policy affirming the company's commitment (Mokhtar et al., 2014). 

This phase marks the beginning of organizational recognition of the issue's importance and the initiation of discussions to 

develop appropriate policies and strategies. 

 

Learning Phase 

In the learning phase, the company exhibits increased attentiveness to environmental matters. Consequently, a professional 

is often appointed to assist in developing the company's environmental strategy once awareness of environmental problems 

becomes more prominent (Mokhtar et al., 2014). However, environmental policy must still be integrated into the business's 

decision-making process (Zyglidopoulos, 2003). This suggests that companies address environmental issues primarily for 

legitimization purposes. 

 

Commitment Phase 

In the commitment phase, environmental matters become the responsibility of top management. Consequently, sustainability 

issues are integrated into business decision-making and performance appraisals (Mokhtar et al., 2014). Additional 

environmental reporting is implemented to inform stakeholders about the company’s environmental performance. 

Companies adopt the EMAS extensively to manage environmental matters, as traditional management accounting systems 

are insufficient for providing comprehensive environmental information (Schaltegger et al., 2022; Burritt et al., 2019). 

 

Elements of Sustainability Performance 

The triple bottom line (TBL) concept can be applied regionally by communities to foster sustainable economic development 

(Solovida & Latan, 2021). TBL has become necessary for evaluating a company's economic, environmental, and social 

performance. Companies must consider the aspects of prosperity, the planet, and people to achieve sustainability. Adopting 

EMAS provides companies with a competitive advantage and enhances the value of corporate social responsibility (Swalih 

et al., 2024; Gunarathne et al., 2021). While many studies focus on the relationship between EMAS adoption and economic 

performance (Kong et al., 2022; Solovida & Latan, 2017), few investigate its impact on environmental and social 

performance. The TBL framework clarifies that an organization focusing solely on profit while neglecting people and the 

planet will not succeed in the long term. 

 

Economic Performance 

Economic performance can be defined as the change in the financial state of an organization resulting from the managerial 

decisions made by its key players (Pratiwi et al., 2020). Economic variables should address the bottom line and money flow, 

referring to the company's financial performance over a specific period and its ability to manage and control resources 

(Mengzhuo & Noordin, 2022). The primary goal of an organization is to create and maximize shareholder value (Deb et al., 

2023). Thus, a company's success in capitalist industries hinges on its economic performance. Consequently, strategic 

planning initiatives and critical corporate decisions aim to maximize profits while decreasing costs and alleviating risks 

(Burritt et al., 2023; Solovida & Latan, 2021). 

 

Environmental Performance 

Environmental performance can be defined as achieving company impacts related to environmental issues (Deb et al., 2023; 

Christine et al., 2019). The essence of environmental performance is interpreted as the impact of a company's environmental 

activities (Bresciani et al., 2023; Latan et al., 2018). Environmental variables should quantify natural resources and indicate 

prospective influences on their sustainability. Furthermore, environmental practices have consistently been practical tools 

guiding organizations toward sustainability while fulfilling their environmental responsibilities (Asiaei et al., 2021; 

Mayndarto & Murwaningsari, 2021). 

 

 

 



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28 

Social Performance 

Social performance refers to the social dimensions of a community or region, including access to social resources, health 

and well-being and quality of life (Rasit et al., 2020). Companies increasingly embrace sustainability and focus on creating 

value for all stakeholders impacted by business decisions, including customers, employees, and community members 

(Stephan et al., 2016). Solovida and Latan (2021) stated that social performance has become critical for companies to survive 

and succeed. Progressive companies have faced criticism for issues related to people or working surroundings, underscoring 

that sustainability also embraces the social dimension. 

 

EMAS Adoption in the Policy Phase and Sustainability Performance 

In the policy phase, companies need a formal strategy to address the environmental matter, as meeting public expectations 

is insignificant (Zyglidopoulos, 2003). The management usually reacts to such matters by presenting a general statement or 

policy about the business's promise. Furthermore, there needs to be a systematic analysis of the problem, and more 

organizational action has emerged in response to the issue. Therefore, it is rational to assume that companies in the policy 

phase are unlikely to adopt EMAS as an environmental matter is a managerial concern (Mokhtar et al., 2014). The 

unavailability of information on environmental impacts resulting from the entity's activities will produce decisions that will 

later negatively affect the image and corporate sustainability (Baker et al., 2023; Fuzi et al., 2021). Latan et al. (2018) have 

established the role of EMAS adoption in providing the management with more accurate cost information and positively 

affecting the environmental performance of Indonesian companies. Based on the findings of these studies, the hypothesis is 

formulated as follows: 

 

H1:  EMAS adoption in the policy phase has a significant impact on sustainability performance among PLCs in Malaysia. 

H1a:   EMAS adoption in the policy phase has a significant impact on economic performance among PLCs in Malaysia. 

H1b:  EMAS adoption in the policy phase has a significant impact on environmental performance among PLCs in 

Malaysia. 

H1c:   EMAS adoption in the policy phase has a significant impact on social performance among PLCs in Malaysia. 

 

EMAS Adoption in the Learning Phase and Sustainability Performance 

From the perspective of the social issue life cycle theory, companies in the learning phase moderately adopt EMAS. 

Furthermore, environmental professional members are commonly appointed to implement the environmental strategy 

(Mokhtar et al., 2014). Still, these environmental matters are yet to be incorporated exclusively into business decision-

making, even though the awareness of environmental problems is accelerating. Research by Mokhtar et al. (2014) found 

that EMAS adoption is in the learning phase when most organizations have environmentally qualified employees to manage 

environmental issues arising from their business activities. Likewise, this information from an environmental perspective is 

likely helpful in developing effective management practices, leading to innovation (Rasit et al., 2020). Appannan et al. 

(2022) and Christine et al. (2019) also reported that environmental strategy positively drives the company's environmental 

performance. Therefore, the following hypothesis is developed: 

 

H2:  EMAS adoption in the learning phase has a significant impact on sustainability performance among PLCs in Malaysia. 

H2a:  EMAS adoption in the learning phase has a significant impact on economic performance among PLCs in 

Malaysia. 

H2b:   EMAS adoption in the learning phase has a significant impact on environmental performance among PLCs in 

Malaysia. 

H2c:    EMAS adoption in the learning phase has a significant impact on social performance among PLCs in Malaysia. 

 

EMAS Adoption in the Commitment Phase and Sustainability Performance 

From the view of the social issue life cycle theory, companies in the commitment phase are extensively adopting EMAS. 

EMAS adoption has been found to improve the sustainability performance of companies (Burritt et al., 2023; Christine et 

al., 2019). In the commitment phase, the solution to environmental problems is integrated into the strategic business plan 

(Mokhtar et al., 2014). These environmental issues have become part of the manager’s accountabilities (Fuadah et al., 2021). 

This phase is referred to as the proactive or innovative change stage. Prior studies found a positive perception that EMAS 

adoption will affect the organization’s value added (Swalih et al., 2024). Furthermore, the study of environmental 

management by Phan et al. (2017) also revealed that implementing EMAS significantly impacts a company's environmental 

performance. Pratiwi et al. (2020) also found a positive influence between EMAS adoption and corporate sustainability. 

Thus, this study proposes the following hypothesis: 

 

H3:  EMAS adoption in the commitment phase has a significant impact on sustainability performance among PLCs in 

Malaysia. 

H3a:   EMAS adoption in the commitment phase has a significant impact on economic performance among PLCs in 

Malaysia. 

H3b:    EMAS adoption in the commitment phase has a significant impact on environmental performance among PLCs 

in Malaysia. 

H3c:  EMAS adoption in the commitment phase has a significant impact on social performance among PLCs in 

Malaysia. 

 



Yusoh et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 25-38

 

29 

Research Framework 

This study is grounded in the social issue life cycle theory articulated by Mokhtar et al. (2016). The research framework 

delineates the phases of EMAS adoption and their potential impacts on sustainability performance within PLCs in Malaysia. 

The independent variable under examination encompasses the phases of EMAS adoption, precisely the policy, learning, and 

commitment phases. The dependent variable, sustainability performance, is evaluated through its economic, environmental, 

and social dimensions. The research framework is illustrated in Figure 1. 

 

 

 

 

 

 

 

      

 

 

 

 

 

Figure 1. Research Framework 

 

MATERIALS AND METHODS 

Sample Selection 

The research population comprised publicly listed companies (PLCs) in the Main Market of Bursa Malaysia, as outlined in 

Table 1. Contact details for these companies were obtained from the Bursa Malaysia website. The unit of analysis was the 

organization, and the study specifically targeted key decision-makers within these PLCs, including Chief Financial Officers 

(CFOs), finance directors, finance managers, and project managers. These individuals were chosen based on their expertise 

and involvement in environmental management and corporate sustainability initiatives. 

The study employed a combination of cluster and simple random sampling techniques to ensure a representative 

sample. Initially, PLCs were categorized into clusters according to their respective industry sectors. From these clusters, a 

random sample was selected to ensure diverse industry representation, thereby enhancing the generalizability of the findings. 

Follow-up efforts, including emails and phone calls, were made to improve response rates. 

Data was collected using a structured questionnaire adapted from Jamil et al. (2015), chosen for its efficacy in 

reaching geographically dispersed respondents (Mokhtar et al., 2016). The questionnaire measured the phases of EMAS 

adoption (learning, policy, and commitment) and their impact on sustainability performance, assessed through the triple 

bottom line framework. Covariates such as company size and industry type were controlled for in the analysis to isolate the 

effects of EMAS adoption phases on sustainability outcomes. 

A cross-sectional research design was utilized, with data collected from the sampled PLCs at a single point in time. 

This approach allowed for examining the relationships between EMAS adoption phases and sustainability performance 

without the influence of temporal changes. The study did not implement direct interventions but focused on analyzing the 

natural variations in EMAS adoption and their impact on sustainability outcomes. 

 

Table 1. Sector Representation of the Population 

 
Sector No. of Companies Percentage (%) 

Construction 52 6.73 

Energy  31 3.30 

Industrial Products and Services 221 28.63 

Plantation 42 5.67 

Property 97 12.66 

Transportation and Logistics 32 3.96 

Consumer Products and Services 168 21.90 

Financial Services 31 4.09 

Health Care 14 1.72 

Real Estate Investment Trusts (REITs) 17 2.24 

Technology 43 5.41 

Telecommunications and Media 16 2.11 

Utilities 12 1.58 

Total of Population 776 100.00 

 

The final sample comprised 205 PLCs, representing a 26.42% response rate. This sample size, determined through 

power analysis, is sufficient for robust statistical analysis, ensuring adequate power for detecting significant effects in 

regression and ANOVA tests. This response rate aligns with previous studies on similar populations and topics (Ong et al., 

2020; Razak et al., 2020) and is considered acceptable for statistical testing. The data were recorded and analyzed using 

Statistical Package for the Social Sciences (SPSS) Version 28, with descriptive analysis summarising the dataset and 

hypothesis testing conducted via Ordinary Least Squares (OLS) regression analysis. 

INDEPENDENT VARIABLES 

EMAS Adoption Phases 

 

 

 

 H2 

H3 

H1 

DEPENDENT VARIABLES 

Sustainability Performance 

 

 

 

Economic 

 

 

H1a, H2a, H3a 

H1b, H2b, H3b 

H1c, H2c, H3c 

Environmental 

 

 
Social 

 

 

Policy 

 

 
Learning 

 

Commitment 

 



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30 

RESULTS 

Respondent’s Profile 

The data were collected and verified for completeness and accuracy before analysis. Table 2 presents the demographic 

analysis. The results indicate that most respondents are from PLCs located in the central region (56.59%). Furthermore, 

most of these companies have been operational for over 15 years, with 163 respondents (79.51%) reflecting that they are in 

the maturity stage of their growth. Regarding environmental management systems (EMS), 83 respondents (40.49%) reported 

that their companies are implementing ISO 14001 to assess, evaluate, and enhance their environmental performance, 

aligning with the tendency of larger companies to adopt this standard (Salim & Padfield, 2017). 

The survey saw participation predominantly from finance managers, with 153 responses (74.63%). This was 

followed by 29 project managers (14.15%) and 15 finance directors (7.32%). Only 2 Chief Financial Officers (0.98%) 

completed the survey. Additionally, 6 respondents from the accounting department included 1 account manager, four 

accountants, and one account executive, making up 2.65% of the sample. Most respondents have 4 to 6 years of experience 

in their current positions, totalling 109 respondents (53.17%), indicating their capability to manage sustainability matters 

and familiarity with organizational practices. Furthermore, 154 respondents (75.12%) reported that their companies had 

allocated budgets for environmental-related activities, underscoring the recognition of the importance of environmental 

initiatives for future global sustainability (Baker et al., 2023). 

 

Table 2. Demographic Analysis (N=205) 

 
Variables Frequency Percentage (%) 

Location of Companies Central Region: Selangor, Kuala Lumpur, Negeri Sembilan 116 56.59 

East Cost: Pahang, Terengganu, Kelantan 28 13.66 

Southern Region: Melaka, Johor 25 12.20 

Northern Region: Perlis, Kedah, Pulau Pinang, Perak 25 12.20 

Sabah  6 2.93 

Sarawak  5 2.44 

Years of Operation More than 15 years 163 79.51 

11 to 15 years 35 17.07 

6 to 10 years 5 2.44 

Less than 5 years 2 0.98 

EMS Certificate ISO 14001  83 40.49 

ISO 9001 70 34.15 

Planning to have 29 14.15 

None 23 11.22 

Position Finance manager 153 74.63 

Project manager 29 14.15 

Finance director 15 7.32 

Others (Account manager, Accountant, Account executive) 6 2.93 

Chief finance officer 2 0.98 

Years of Experience 4 to 6 years 109 53.17 

1 to 3 years 78 38.05 

6 to 10 years 18 8.78 

Allocation of Environmental Cost Yes 154 75.12 

No 51 24.88 

 

EMAS Adoption 

All variables were assessed using a 5-point Likert-type scale. Following the measurement approach outlined by Jamil et al. 

(2015), respondents rated the extent of EMAS adoption on a scale from 1 (not at all) to 5 (to a great extent). A mean score 

close to 5 signifies extensive adoption of EMAS among PLCs. The ranking reflects the mean scores for EMAS adoption in 

descending order, from the most extensively adopted to the least adopted practices by PLCs. Table 3 indicates that PEMA 

has a higher mean score (3.23) than MEMA (3.14). This suggests that PLCs generally adopt PEMA practices more 

extensively than MEMA practices. The preference for PEMA is likely due to a greater emphasis on physical environmental 

activities over the costing processes (Doorasamy & Nyahuna, 2021). Tables 4 and 5 present the detailed results for each 

item of PEMA and MEMA. 

 

Table 3. Overall Result of Descriptive Statistics for EMAS Adoption (N=205) 

 
EMAS Adoption Mean Ranking 

Physical EMA (PEMA) 3.23 1 

Monetary EMA (MEMA) 3.14 2 

 

Table 4. Descriptive Statistics for PEMA Practices (N=205) 

 
PEMA Practices Mean Std. Dev Min Max 

Lifecycle inventories. 3.51 0.97 1 5 

Material flow assessment. 3.40 0.96 1 5 

Energy flow assessment. 3.38 0.95 2 5 

Post assessment of short-term environmental impact. 3.25 0.99 1 5 



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31 

Lifecycle analysis. 3.22 0.89 1 5 

Environmental capital impact assessment. 3.16 0.93 1 5 

Physical environmental investment appraisal. 3.16 0.87 1 5 

Physical environmental budgeting. 3.15 0.87 1 5 

Long-term physical environmental planning. 3.15 0.96 1 5 

Relevant environmental impacts. 3.08 0.96 1 5 

Post-investment assessment of physical environmental investment appraisal. 3.07 0.87 1 5 

 

Table 5. Descriptive Statistics for MEMA Practices (N=205) 

 
MEMA Practices Mean Std. Dev Min Max 

Environmental cost accounting. 3.37 0.87 2 5 

Post-investment of individual environmental projects. 3.27 0.83 1 5 

Environmental target costing. 3.22 0.91 1 5 

Environmental lifecycle costing. 3.20 0.82 1 5 

Post assessment of relevant environmental costing decisions. 3.16 0.84 1 5 

Environmentally induced capital expenditure and revenue. 3.13 0.86 1 5 

Monetary, environmental, and operational budgeting. 3.12 0.87 1 5 

Monetary environmental capital budgeting. 3.11 0.83 1 5 

Environmental lifecycle target pricing. 3.07 0.86 1 5 

Environmental long-term financial planning. 3.05 0.93 1 5 

Monetary environmental project investment appraisal. 3.04 0.92 1 5 

Environmental lifecycle budgeting. 3.03 0.88 1 5 

Relevant environmental costing. 3.00 0.89 1 5 

 

Based on the EMAS adoption score, companies were classified into three social issue life cycle phases: policy, 

learning, and commitment. Companies with mean scores of 3.60 or higher were classified as being in the commitment phase, 

indicating a high extent of EMAS adoption (Mokhtar et al., 2014). Those with mean scores between 2.00 and 3.59 were 

categorized in the learning phase, reflecting a moderate extent of EMAS adoption. Companies with mean scores below 2.00 

were classified in the policy phase, representing a low extent of EMAS adoption, as per Mokhtar et al. (2014). 

Table 6 presents the distribution of EMAS adoption phases among PLCs in Malaysia. The results reveal that most 

companies (59.51%) are in the learning phase, which aligns with the earlier finding of a moderate extent of EMAS adoption. 

The relatively small proportion of companies in the commitment phase suggests that accountants' involvement in 

environmental initiatives remains limited. This observation supports the earlier notion that the role of accounting in 

environmental matters is still minimal. 

 

Table 6. EMAS Adoption Phases among Malaysian PLCs (N=205) 

 
Phases Overall Mean No. of Companies Percentage (%) Ranking 

Learning Phase 2.01 to 3.59 122 59.51 1 

Commitment Phase ≥ 3.60 56 27.31 2 

Policy Phase ≤ 2.00 27 13.17 3 

                     Total 205 100.00  

 

Sustainability Performance 

This study examines the impact of EMAS adoption phases on sustainability performance. The study employs a five-point 

Likert-type scale, ranging from 1 (strongly disagree) to 5 (strongly agree), to gauge the perceived value created by EMAS 

adoption in the recent past. Economic performance metrics are based on the measurements developed by Ramli and Ismail 

(2013) and Cankaya and Sezen (2019), which utilize perceptual performance assessments to evaluate sustainability 

performance. This study adopts the measurement approach established by Jamil et al. (2015) for environmental performance. 

Social performance is assessed using items from Ahi and Searcy (2015) and Cankaya and Sezen (2019). Table 7 reveals 

that economic performance achieved the highest mean score (3.90), followed by environmental performance (3.80) and 

social performance (3.68). Table 8 details Malaysian PLCs' economic, environmental, and social performance items. 

 

Table 7. Overall Result of Descriptive Statistics for Sustainability Performance (N=205) 

 
Sustainability Performance Mean Ranking 

Economic Performance 3.90 1 

Environmental Performance 3.80 2 

Social Performance 3.68 3 

 

Table 8. Descriptive Statistics for Sustainability Performance (N=205) 

 
Items Mean Std. Dev Min Max 

Economic Performance 

Increase in operating profit. 4.00 0.77 2 5 

Decrease in the cost of energy consumption. 3.97 0.74 1 5 

Increase in return on investment. 3.95 0.77 2 5 

Decrease in the cost of material purchased. 3.94 0.80 2 5 



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32 

Decrease in the fee for waste discharge. 3.92 0.85 2 5 

Increase in cash flow. 3.90 0.75 1 5 

Increase in return on assets. 3.87 0.78 1 5 

Improvement in earnings per share. 3.82 0.80 1 5 

Increase in revenue. 3.75 0.77 2 5 

Environmental Performance 

Reduction in the use of energy. 4.00 0.74 2 5 

Reduction in the use of water. 3.90 0.83 1 5 

Reduction of wastewater emissions. 3.88 0.87 2 5 

Reduction in the use of non-renewable resources. 3.85 0.89 2 5 

Reduction of solid waste. 3.84 0.83 2 5 

Reduction in the use of toxic inputs. 3.84 0.82 2 5 

Reduction of emissions to air. 3.80 0.78 2 5 

Reduction of landscape damage 3.80 0.83 2 5 

Reduction of smell/ odor emissions. 3.75 0.80 1 5 

Reduction of soil contamination. 3.72 0.93 2 5 

Reduction of noise. 3.67 0.85 2 5 

Reduction in the risk of severe accidents 3.58 0.92 2 5 

Social Performance 

Improvement in community health and safety. 3.77 0.87 2 5 

Improvement in occupational health and safety of employees. 3.76 0.78 1 5 

Improvement in relations with community stakeholders. 3.71 0.87 2 5 

Improvement in customer satisfaction. 3.69 0.76 1 5 

Reduced community complaints. 3.67 0.84 2 5 

Improvement in the company’s image in the eyes of its customers. 3.61 0.87 2 5 

Improvement in overall stakeholder welfare or betterment. 3.57 0.69 1 5 

 

Hypotheses Testing 

Analysis of Variance (ANOVA) 

One-way analysis of variance (ANOVA) was employed to assess whether there are statistically significant differences in 

the means of sustainability performance across the three phases of EMAS adoption. The results indicate the commitment 

phase has the highest mean sustainability performance score (mean=4.31). Table 9 presents the overall mean scores for each 

EMAS adoption phase among PLCs in Malaysia. 

 

Table 9. Descriptive Statistics for EMAS Adoption Phases (N=205) 

 
Variables N Mean Std. 

Dev. 

Std. 

Error 

95% Confidence Interval 

for Mean 

Min Max 

Lower 

Bound 

Upper 

Bound 

Policy Phase 27 2.63 0.18 0.03 2.56 2.70 2.33 2.97 

Learning Phase 122 3.82 0.31 0.03 3.76 3.87 3.02 4.48 

Commitment Phase 56 4.31 0.25 0.03 4.24 4.37 3.90 4.78 

Total 205 3.80 0.57 0.04 3.72 3.88 2.33 4.78 

 

Table 10. One-Way Analysis of Variance (ANOVA) 

 
 Sum of Squares df Mean Square F Sig. 

Between Groups 51.46 2 25.73 327.80 0.00 

Within Groups 15.86 202 0.08   

Total 67.31 204    

A Tukey post hoc test revealed that the mean sustainability performance was significantly higher in the commitment phase (p=0.00), followed by the 

learning phase (p=0.00) compared to the policy phase (p=0.00). 

 

Table 10 shows a significance value of 0.000 (p = .000), below the 0.01 threshold, indicating a significant difference 

in sustainability performance means across the EMAS adoption phases. However, ANOVA alone does not specify which 

groups differ from each other. To address this, the Multiple Comparisons table, which includes Tukey's post hoc test results, 

provides detailed insights into the specific group differences, as outlined in Table 11. 

 

Table 11. Multiple Comparison 

 
(I) EMAS Adoption (J) EMAS Adoption Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval 

Lower Bound Upper Bound 

Policy Learning -1.18* 0.06 0.00 -1.33 -1.04 

Commitment -1.67* 0.07 0.00 -1.83 -1.52 

Learning Policy 1.18* 0.06 0.00 1.04 1.33 

Commitment -0.49* 0.05 0.00 -0.56 -0.38 

Commitment Policy 1.67* 0.07 0.00 1.52 1.83 

Learning 0.49* 0.05 0.00 0.38 0.60 

 

 



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33 

Accordingly, the mean plot in Figure 2 illustrates the average sustainability performance for the three phases of 

EMAS adoption. The commitment phase exhibits the highest mean sustainability performance compared to the learning and 

policy phases. At the commitment stage, environmental issues are addressed at the top management level. Thus, it can be 

concluded that comprehensive EMAS adoption leads to enhanced sustainability performance, including cost reduction and 

minimized environmental pollution (Swalih et al., 2024; Adu-Gyamfi et al., 2020). 

 

 

Figure 2: Mean Plot 

 

Figure 2. Mean Plot 

 

Ordinary Least Squares (OLS) Regression Analysis 

This study examines the impact of EMAS adoption phases on sustainability performance among Malaysian PLCs using 

Ordinary Least Squares (OLS) regression analysis. Analyzing data collected from Malaysian PLCs aims to provide 

empirical evidence on how the progression through EMAS adoption phases correlates with improvements in economic, 

environmental, and social performance. 

 

EMAS Adoption in the Policy Phase and Sustainability Performance 

Table 12. Coefficient Table (EMAS Adoption in the Policy Phase) 

 
Variable Beta Std. Error T statistic P-value 

Policy Phase and Sustainability Performance 

Constant 3.97 0.03 150.66 0.00 

Policy Phase -1.34 0.07 -18.45 0.00 

Policy Phase and Economic Performance 

Constant 4.05 0.04 91.33 0.00 

Policy Phase -1.06 0.12 -8.71 0.00 

Policy Phase and Environmental Performance 

Constant 3.98 0.03 119.49 0.00 

Policy Phase -1.49 0.09 -16.30 0.00 

Policy Phase and Social Performance 

Constant 3.90 0.04 103.88 0.00 

Policy Phase -1.47 0.10 -14.17 0.00 

 

Table 12 reveals that all relationships are statistically significant at the 1% level. Specifically, EMAS adoption in 

the policy phase has a significant negative impact on sustainability performance among PLCs in Malaysia (B=-1.34, 

p=0.00). This negative impact is observed across economic performance (B=-1.06, p=0.00), environmental performance 

(B=-1.49, p=0.00) and social performance (B=-1.47, p=0.00). 

 

EMAS Adoption in the Learning Phase and Sustainability Performance 

Table 13. Coefficient Table (EMAS Adoption in the Learning Phase) 

 
Variable Beta Std. Error T statistic P-value 

Learning Phase and Sustainability Performance 

Constant 3.77 0.06 60.03 0.00 

Learning Phase 0.05 0.08 0.59 0.55 

Learning Phase and Economic Performance 

Constant 3.86 0.08 51.18 0.00 

Policy Commitment Learning 

EMAS Adoption Phases 

2.50 

M
ea

n
 o

f 
S

u
st

a
in

a
b

il
it

y
 P

er
fo

r
m

a
n

ce
 

3.00 

4.00 

3.50 

4.50 



Yusoh et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 25-38

 

34 

Learning Phase 0.07 0.09 0.72 0.47 

Learning Phase and Environmental Performance 

Constant 3.74 0.07 50.90 0.00 

Learning Phase 0.06 0.09 0.67 0.50 

Learning Phase and Social Performance 

  Constant 3.70 0.08 48.01 0.00 

Learning Phase 0.01 0.10 0.10 0.92 

 

Table 13 shows that EMAS adoption in the learning phase positively impacts sustainability performance among 

PLCs, although this impact is not statistically significant at the 5% level (B=0.05, p=0.55). Similarly, the positive impacts 

of EMAS adoption in the learning phase on economic performance (B=0.07, p=0.47), environmental performance (B=0.06, 

p=0.50), and social performance (B=0.01, p=0.92) are also not statistically significant. 

 

EMAS Adoption in the Commitment Phase and Sustainability Performance 

Table 14. Coefficient Table (EMAS Adoption in the Commitment Phase) 

 
Variable Beta Std. Error T statistic P-value 

Commitment Phase and Sustainability Performance 

Constant 3.60 0.04 91.22 0.00 

Commitment Phase 0.71 0.08 9.42 0.00 

Commitment Phase and Economic Performance 

Constant 3.76 0.05 70.18 0.00 

Commitment Phase 0.52 0.10 5.12 0.00 

Commitment Phase and Environmental Performance 

Constant 3.56 0.05 75.07 0.00 

Commitment Phase 0.77 0.09 8.59 0.00 

Commitment Phase and Social Performance 

Constant 3.48 0.05 70.34 0.00 

Commitment Phase 0.82 0.09 8.77 0.00 

 

Table 14 indicates a significant positive impact of EMAS adoption in the commitment phase on sustainability 

performance among PLCs (B=0.71, p=0.00). This positive impact is significant across economic performance (B=0.52, 

p=0.00), environmental performance (B=0.77, p=0.00) and social performance (B=0.82, p=0.00). All relationships in this 

phase are statistically significant at the 1% level. 

 

Table 15. Result of Hypotheses Testing 

 
Hypotheses Findings 

H1 EMAS adoption in the policy phase has a significant impact on sustainability performance among PLCs in Malaysia. Supported 

H1a EMAS adoption in the policy phase has a significant impact on economic performance among PLCs in Malaysia. Supported 

H1b EMAS adoption in the policy phase has a significant impact on environmental performance among PLCs in Malaysia. Supported 

H1c EMAS adoption in the policy phase has a significant impact on social performance among PLCs in Malaysia. Supported 

H2 EMAS adoption in the learning phase has a significant impact on sustainability performance among PLCs in Malaysia. Not Supported 

H2a EMAS adoption in the learning phase has a significant impact on economic performance among PLCs in Malaysia. Not Supported 

H2b EMAS adoption in the learning phase has a significant impact on environmental performance among PLCs in Malaysia. Not Supported 

H2c EMAS adoption in the learning phase has a significant impact on social performance among PLCs in Malaysia. Not Supported 

H3 EMAS adoption in the commitment phase has a significant impact on sustainability performance among PLCs in Malaysia. Supported 

H3a EMAS adoption in the commitment phase has a significant impact on economic performance among PLCs in Malaysia. Supported 

H3b EMAS adoption in the commitment phase has a significant impact on environmental performance among PLCs in Malaysia. Supported 

H3c EMAS adoption in the commitment phase has a significant impact on social performance among PLCs in Malaysia. Supported 

 

Table 15 summarizes the results of the hypothesis testing. The research framework indicates a significant negative 

impact of EMAS adoption in the policy phase on sustainability performance. The findings support all proposed hypotheses 

(H1, H1a, H1b, and H1c). This negative impact reflects the lack of urgency among companies in the policy phase to address 

environmental issues, such as energy consumption and waste minimization. Consequently, these companies are unlikely to 

achieve better sustainability performance in the short term. EMAS adoption often incurs costs, with benefits such as 

reputational enhancements, reduced environmental liabilities, and increased competitive advantage materializing over the 

long term (Burritt et al., 2023; Salim & Padfield, 2017). 

In the learning phase, environmental awareness starts to gain traction, and companies may hire environmental 

specialists to implement policies. However, environmental concerns have yet to influence economic decisions significantly. 

Although the study provides evidence of a positive impact of EMAS adoption in the learning phase on sustainability 

performance, this relationship is statistically insignificant. Therefore, the findings do not support hypotheses H2, H2a, H2b 

and H2c. Companies in this phase are unlikely to achieve sustainable performance as environmental policies have not yet 

been fully integrated into decision-making processes despite increasing awareness of environmental issues (Mokhtar et al., 

2014). 

During the commitment phase, environmental concerns are integrated into business decision-making and managed 

by line managers. The study confirms a significant positive impact of EMAS adoption in the commitment phase on 

sustainability performance among Malaysian PLCs, supporting hypotheses H3, H3a, H3b, and H3c. Companies in this phase 

view EMAS adoption as a proactive approach to managing sustainability issues and achieving social legitimacy. The 



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35 

findings demonstrate that sustainability performance improves as companies progress through the social issue life cycle's 

policy, learning, and commitment phases. Companies that actively engage in sustainability practices and integrate 

environmental considerations into their business policies are likely to gain a competitive advantage, enhance decision-

making, and advance their environmental performance (Pratiwi et al., 2020). 

 

DISCUSSIONS 

Over recent decades, industrial development has generated significant wealth and prosperity but has also led to unintended 

ecological degradation (Gunawardena & Dissanayake, 2021). Consequently, businesses are now compelled to be 

accountable for their environmental impact to remain competitive and drive profitability amidst increasing competition. 

Adopting EMAS can help businesses identify and mitigate their negative environmental impacts (Kong et al., 2022; 

Mayndarto & Murwaningsari, 2021). In alignment with the first objective of this study, findings indicate that most 

companies are in the learning phase, reflecting a moderate extent of EMAS adoption among PLCs in Malaysia. Specifically, 

both PEMA and MEMA are adopted to a moderate degree (Razak et al., 2020; Rasit et al., 2020). This suggests a need for 

professional associations to organize seminars and conferences to enhance managers' and accountants' awareness and 

establish effective learning mechanisms for EMAS adoption. 

The study also examines the impact of EMAS adoption phases on sustainability performance using the triple bottom 

line approach, which encompasses economic, environmental, and social performance. According to the study's second 

objective, regression analysis results reveal a significant negative impact of EMAS adoption in the policy phase on 

sustainability performance. Additionally, the research shows an insignificant positive impact of EMAS adoption in the 

learning phase on sustainability performance. In contrast, a significant positive impact is observed for EMAS adoption in 

the commitment phase, indicating that companies in this phase achieve better sustainability performance compared to those 

in the policy and learning phases. The Ordinary Least Squares (OLS) regression analysis supports the hypothesis that 

companies in more advanced phases of EMAS adoption tend to report better sustainability outcomes. These findings 

corroborate previous studies that reported a positive effect of EMAS adoption on sustainability performance (Solovida & 

Latan, 2021; Tran et al., 2020). 

The findings of this study align with several prior studies that have demonstrated a positive link between EMAS 

adoption and sustainability performance. For instance, previous research by Kong et al. (2022) in China also found that 

companies with advanced environmental management systems exhibited superior environmental performance. Similarly, 

studies in other emerging economies, such as Ghana, South Africa, and Bangladesh, have shown that adopting 

comprehensive environmental management practices can lead to improved sustainability metrics (Deb et al., 2023; 

Doorasamy & Nyahuna, 2021; Adu-Gyamfi et al., 2020). Even though prior studies reveal that EMAS adoption contributes 

positively towards sustainability performance, its effectiveness might be moderated by internal and external organizational 

factors. The discrepancy between the findings could be attributed to Malaysia's distinct regulatory environment and market 

conditions, where regulatory pressures and public expectations for sustainability practices may differ. 

Moreover, this study contributes to the literature by applying the social issue life cycle theory to explain the varying 

impacts of EMAS adoption phases. Unlike some prior studies that treat EMAS adoption as a binary variable (adopted vs. 

not adopted), this study's approach of examining different adoption phases offers a more nuanced understanding of how the 

depth and maturity of EMAS influence sustainability performance. This perspective must be explored in existing literature, 

making it a valuable addition to the discourse on environmental management accounting in emerging markets. 

 

CONCLUSIONS  

This study examines the impact of EMAS adoption on the sustainability performance of PLCs in Malaysia. For theoretical 

implications, this study advances the understanding of EMAS by examining its adoption phases through the lens of social 

issue life cycle theory. The study enriches the existing literature by demonstrating the varying impacts of EMAS adoption 

phases on sustainability performance. It offers empirical evidence that the commitment phase of EMAS adoption 

significantly enhances sustainability performance, contributing to the theoretical discourse on how structured environmental 

management practices influence corporate sustainability. It provides new insights into how EMAS adoption can be 

strategically managed to enhance sustainability performance in the Malaysian context. 

The adoption of EMAS is increasingly essential due to the limitations of conventional management accounting 

systems. This study reveals that most companies are in the learning phase, indicating a moderate level of EMAS adoption. 

The moderate level of adoption may be attributed to insufficient knowledge and awareness of environmental management 

among the respondents. From a managerial perspective, the study highlights the critical importance of progressing through 

the EMAS adoption phases. Managers should know that premature adoption (e.g., during the policy phase) can negatively 

impact sustainability performance. Conversely, a well-established commitment to EMAS can significantly improve 

sustainability outcomes. This insight can guide managers in strategically planning and implementing EMAS to align with 

their sustainability goals. 

As recommendations for practice, companies should approach EMAS adoption in phases, ensuring that each phase 

is fully understood and integrated before moving on to the next. This phased approach can mitigate the potential negative 

impacts during the policy phase. Companies should allocate resources and foster organizational commitment to 

environmental management to maximize the positive impact on sustainability performance. Furthermore, organizations 

should invest in training programs to increase managers' and employees' awareness and understanding of EMAS. This will 

facilitate smoother transitions between adoption phases and enhance overall sustainability efforts. Companies also need to 



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36 

regularly monitor and assess the effectiveness of EMAS practices across different phases to ensure alignment with 

sustainability objectives and make necessary adjustments. 

These findings can guide the Malaysian government in refining policies, incentivizing companies to adopt greener 

practices, and effectively managing environmental costs. Reviewing the Environmental Quality Act 1974 could enhance 

penalties for companies that fail to meet their environmental responsibilities. Governments can develop and enforce stricter 

regulations that mandate the adoption of EMAS across industries. The government can ensure that companies systematically 

address environmental concerns by creating clear guidelines and setting minimum standards for EMAS adoption. Moreover, 

these financial incentives can encourage more companies to move beyond the learning and policy phases into the 

commitment phase, where sustainability impacts are more substantial. 

Additionally, professional bodies can organize training workshops and certification programs to educate key 

decision-makers, such as CFOs and managers, on the benefits and implementation of EMAS. These programs can provide 

the technical knowledge required to integrate environmental accounting into business practices fully. Creating platforms for 

companies to share best practices and experiences with EMAS can help disseminate knowledge and encourage wider 

adoption. By doing so, these bodies can help build a stronger foundation for sustainability practices across industries. 

Despite its valuable contributions to both theory and practice, this study has certain limitations. Notably, the data 

collection method and sample size present significant challenges. The survey approach is susceptible to errors and non-

response bias, with potential issues of unreliability and inaccuracy as some respondents may have answered without 

thoroughly considering the questions, leading to invalid data. Furthermore, the low response rate among Malaysian PLCs 

limits the generalizability of the findings. Therefore, future studies could address these limitations by expanding the sample 

size and incorporating mixed methods to provide a more comprehensive analysis of EMAS adoption. Future studies could 

also expand the scope to include a broader range of industries or geographical locations to test the generalizability of the 

findings. Additionally, longitudinal studies could offer insights into the long-term effects of EMAS adoption on 

sustainability performance. Exploring qualitative aspects of EMAS adoption, such as organizational culture and stakeholder 

engagement, could also provide a more comprehensive understanding of its impacts. Regardless of these limitations, this 

study provides insights into EMAS adoption phases in Malaysia and highlights the need for further promotion of this practice 

among businesses. The study demonstrates the potential and necessity of EMAS for improving sustainable development in 

Malaysia, showing significant impacts on management processes. 

 

 
Author Contributions: Conceptualization, N.N.A.M.Y., T.Z.T.M. and A.A.; Methodology, N.N.A.M.Y. and T.Z.T.M.; Software, N.N.A.M.Y.; 
Validation, N.N.A.M.Y, T.Z.T.M and A.A.; Formal Analysis, N.N.A.M.Y.; Investigation, N.N.A.M.Y.; Resources, N.N.A.M.Y., T.Z.T.M. and A.A.; Data 

Curation, N.N.A.M.Y.; Writing – Original Draft Preparation, N.N.A.M.Y.; Writing – Review & Editing, N.N.A.M.Y.; Visualization, T.Z.T.M.; 

Supervision, T.Z.T.M. and A.A.; Project Administration, T.Z.T.M. and A.A.; Funding Acquisition, T.Z.T.M. Authors have read and agreed to the published 
version of the manuscript. 

Institutional Review Board Statement: Ethical review and approval were waived for this study, due to that the research does not deal with vulnerable 
groups or sensitive issues. 

Funding: The authors received no direct funding for this research. 

Acknowledgments: Not Applicable 

Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. 

Data Availability Statement: The data presented in this study are available on request from the corresponding author. The data are not publicly available 

due to restrictions. 

Conflicts of Interest: The authors declare no conflict of interest.                                                                                                                                                                                                                                   

 

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