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Nzama and Olarewaju

                 Table 1. Structure of questionnaire
                 Sections                    Question/Information
                 Section A: Respondents      Occupation, years of experience, firm scale, indication of environmental cost and
                 background information      activities
                 Section B: EMAPs in a firm  Include questions about the implementation of such practices as a corporate
                                             environmental strategy, firm environmental-related activities, their perspective of
                                             EMAPs, and factors influencing the adoption of EMAPs
                 Section C: Plastic pollution   Include questions about plastic pollution measures with a firm, understanding of firms to
                 control                     reduce plastic waste, and barriers to implementing alternative methods of packaging.
                 Section D: Environmental    Include questions about environmental information and environmental costs associated
                 management practices on plastic  with plastic pollution
                 pollution control
                 Abbreviation: EMAPs: Environmental management accounting practices.


                and ensure that we obtained trustworthy and accurate   4.1. Demographic analysis
                results.  The remaining parts focused on questions   Table  2  indicates the respondents’ background.
                that helped us understand the organizational structure   Demographic data provides data about research and is
                policies in place to prevent plastic pollution, as well as   necessary to establish if the persons in the investigation
                the businesses’ desire to develop such measures. The   are an accurate reflection of the target population for the
                respondents  were  expected  to  read  the  template  and   sake of generalization.
                indicate whether or not they agreed to participate by   The  respondents to this study were managers  in
                clicking continue. The “continue” button directed them   finance,  management,  factory,  and  chief  accountants.
                to the survey questions.                            Over 70% of the participants had more than 10 years
                  The quantitative section was constructed using    of work experience. This indicated that the respondents
                data  from  five  close-ended  Likert  scale  surveys.  The   were knowledgeable about these elements  discussed
                Likert scale is ranked as follows: (1) strongly disagree;   in  the  study.  The  firm’s  size  ranged  from  small  to
                (2)  disagree; (3) neutral; (4) agree; and (5) strongly agree.  medium to big, with 70.2% indicating that they incur
                  Overall,  128 questionnaires  were  delivered  to   environmental  expenditures  and  84%  investing  in
                responders. However, when the surveys were returned,   environmental initiatives.
                four were filled incorrectly, resulting in 124 valid replies,
                with a valid response rate of 96.8%. Survey responses   4.2. Measurement model results: Reliability and validity
                were  collected and  analyzed using the  SPSSs (IBM,   Exploratory  factor  analysis  (EFA)  is  a  multivariate
                SPSS Inc.,  USA). The  data  with  ordinal  values  were   statistical  approach that is commonly  employed  in
                ranked  from  one  (strongly  disagree)  to  five  (strongly   quantitative  research  and  is  now being  applied  in  a
                agree). The nominal figures were coded as (1) “Yes” or   variety  of domains,  including  social  sciences,  health
                (2) “No” SPSS was used to conduct both descriptive and   sciences,  and economics.  EFA allows  researchers  to
                inferential  statistical  analyses. Descriptive statistical   focus on fewer elements that explain the structure rather
                analysis was used to visualize  demographic  data   than too many variables that may be insignificant, and
                distributions with tables, whereas inferential statistical   to carry out their investigations by categorizing these
                analysis was utilized in correlation analysis, regression   items  (factors).   The  study used the  EFA  approach
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                analysis, and hypothesis testing.                   to  find  the  unobserved  (i.e.,  latent)  components.  The
                                                                    Kaiser–Meyer–Olkin (KMO) test established by Kaiser
                4. Results                                          and Cronbach’s alpha test was employed as a diagnostic
                                                                    test to assess sample adequacy and internal consistency
                Considering this research focuses largely on correlation   across all questionnaire replies or items.
                testing, the data were statistically  evaluated  to assess   Individual indicators were checked for reliability by
                the hypothesis. Data were collected quantitatively using   examining  item  loadings  on  the  respective  construct
                SPSS.  Pearson  correlation  coefficient  and  regression   value of the factor loading (Table 3).
                analysis were utilized to assess the relationship between   The  Croncbach’s  alpha  coefficient  for  each  scale
                CES and PPC.                                        was calculated to measure the internal consistency




                Volume 22 Issue 1 (2025)                        88                                 doi: 10.36922/ajwep.7089
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