MGT723 Research Project on Data Collection
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Added on 2020-04-07
MGT723 Research Project on Data Collection
Added on 2020-04-07
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MGT723 Research ProjectSemester 2 2017Assessment Task 2: Data CollectionStudent Name:Your assigned research question*:Title:Submission Date:Acknowledgement:I certify that I have carefully reviewed the university’s academic misconduct policy. Iunderstand that the source of ideas must be referenced and that quotation marks and areference are required when directly quoting anyone else’s words. Unless otherwise approved by the course coordinator, all students will be considering thegeneral issue of the Voluntary Disclosure of Environmental Performance. In Week 1 Studentswill be assigned to a specific research problem.
Direct Engagement withTrade associatesFunding research orgInfluencing methodsCarbon disclosure scoreIntroduction: There have been many studies which tried to study the relationship between the disclosure ofthe carbon emission and the performance of the firms. However there is no unique conclusionabout the relationship. So the main aim of this study is to examine the relationship betweenthe carbon disclosure score and the organisation influencing public policy related to climatechange. To examine the relationship both the descriptive and the inferential analysis will beconducted on the collected data. Literature Review– Summary (Not Assessed)There are many theories which have been previously used to examine the relation betweencarbon emission and the performance of the firms. According to the stakeholder theory firmsare operating in such a way that the expectations of the particular stakeholders are met, as thestakeholders are the key factors who can have significant impact on the firm’s performance.The stakeholder theory is considered to be the socio-political theory. The socio-politicaltheory assumes the disclosure behaviour as the function of political and social pressure bydifferent stakeholders. So stakeholder theory further argues that the decision related to theorganisation’s management should be taken only after consulting the majorstakeholders(Najah & Cotter 2013). In terms of relationship previous studies some scholars have found positive relationshipbetween environmental and financial performance of the firms. Study by (Clarkson et al.2010) found positive relationship between the two. On the other hand study of (Cormier et al.2011) shows negative relationship and author argues that the inferior firms’ disclosure aboutthe environment is higher than the superior firms. Since the relationship is not clear from theprevious studies so this study will examine how the firms can influence the public policyrelated to disclosure of the carbon emission. This will give a new dimension to the existingliterature.Conceptual Model: (Not Assessed)Hypotheses: (Not assessed)This study will test the following hypothesis:2 | P a g e
There is positive and significant relationship between the organization influencing publicpolicy and carbon disclosure score.Data Collection (Assessed)For the current study data was collected among 188 firms in different countries and fromdifferent sectors. Data related to the carbon disclosure score was collected from secondarysources whereas the data for the various methods used by companies to influence the publicpolicy related to the climate change was collected from primary sources. While collecting thedata from the primary source the close ended questionnaire was used. Data Analysis - Descriptive: (Assessed)In this section the results from the descriptive analysis has been discussed. As mentioned inthe previous section carbon disclosure and the method used by firms on influencing thepublic policy are the main variables of interest for this research. The descriptive analysis ofthe carbon disclosure score is shown below:Statisticsscore NValid188Missing0Mean81.8138Median96.0000Std. Deviation30.25122Variance915.136Skewness-1.994Std. Error of Skewness.177Kurtosis2.652Std. Error of Kurtosis.353Minimum.00Maximum100.00Percentiles2581.25005096.00007599.0000Table 1 Descriptive statistics for scoreResults show that the mean score is 81.81 whereas the median score is 96. This shows thatthere is high variation in the data set as the mean value is affected by the extreme values. Thestandard deviation is also quite high. The high variation in the score can also be seen from theminimum and maximum score. On one hand the minimum score is as low as 0 whereas themaximum score is as high as 100. Results also show that most of the firms who have score of100 belongs to information technology industry. Similarly the results from percentile showthat 75 % of the firms have score of 99 of lower as the value for 75th percentile is 99. 3 | P a g e
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