## 5 Analysis and Findings
### Exploratory Data Analysis
These observations suggest that the size of a company, as indicated by its annual revenue, can influence the perceived benefits of green logistics, with companies in the middle revenue categories tending to have more consistent and higher perceptions of benefits. As shown in Figure 8, when examining the intention to adopt green logistics across different annual revenue categories, it is observed that all categories have a high median intention to adopt green logistics, with the \"1 million-10 million\" and \"10 million-100 million\" revenue categories being slightly higher than the others. There is a broad spread of IQR across all categories, but it is most pronounced in the \"More than USD 1 billion\" category, suggesting differing intentions among the largest companies. Notable outliers in the \"Less than USD 1 million\" and \"More than USD 1 billion\" categories indicate that within these revenue brackets, some companies are significantly less inclined to adopt green logistics compared to others. Additionally, the length of the whiskers suggests that the widest variance in intentions is among the smallest and largest companies, indicating a diverse range of intentions to adopt green logistics within these groups. Figure 8: Boxplot of Intention to adopt green logistics according to annual revenue. Figure 7: Boxplot of the perceived benefits according to annual revenue. There appears to be a relationship between company revenue and perceived benefits of green logistics, with mid-sized companies generally perceiving more benefits than smaller or larger companies. This could be due to mid-sized companies being at a stage where they can more readily see the advantages of green logistics practices, such as cost savings and efficiency improvements, without the complexity that larger companies may face. Intentions to adopt green logistics are generally high across all revenue categories, which may reflect a growing recognition of the importance of sustainability across the business spectrum. The variance in intentions within the largest companies could reflect diverse corporate strategies towards green logistics, ranging from aggressive implementation to cautious evaluation. In summary, while revenue size does not seem to strongly influence the overall intention to adopt green logistics practices, it does seem to have a more noticeable effect on the perceived benefits. For smaller companies, the challenges of resource allocation towards green logistics might explain the lower perceived benefits and greater variance in intention. Conversely, larger companies may encounter complexities in integrating green logistics into well-established supply chains, resulting in a wider spread of both perceptions and intentions. Figures 9 and 10 present boxplots depicting the perceived benefits and intention to adopt green logistics, categorized by whether companies implement green logistics practices. The analysis of the perceived benefits of green logistics practices reveals some interesting patterns. Companies that implement green logistics practices have a slightly higher median perceived benefit compared to those that do not. Additionally, the IQR for companies that implement green logistics is narrower, indicating a more consistent perception of benefits among these companies. In contrast, the IQR is broader for companies that do not implement these practices, suggesting more varied perceptions. Outliers are present in both categories, but they are more pronounced in the group that does not implement green logistics, indicating that while most companies in this group perceive lower benefits, a few perceive high benefits. The \"whiskers\" are longer for the \"No\" category, indicating greater variation in perceptions of benefit among companies that do not implement green logistics practices. In examining the intention to adopt green logistics practices, both groups demonstrate a high median intention, with the group that currently implements green logistics practices exhibiting a slightly higher median.