07/24/2026Sajjad Karbalai
This data science project explores how trade volume correlates with carbon efficiency over time, using real-world datasets and Python visualizations. A Data Analytics Project Oct. 15th 2024 ~ GITHUB Analyzing the relationship between international trade and CO₂ consumption among the world’s top economies—USA, China, Germany, and the European Union. This data science project explores how trade volume correlates with carbon efficiency over time, using real-world datasets and Python visualizations. The datasets used for this project are available online with the folowing links: • http://data.un.org/Data.aspx?d=ComTrade&f=_l1Code%3a1 • https://zenodo.org/api/records/14106218/ϐiles-archive The visualizations aim to explore the link between economic activity (measured by total exports and imports) and environmental cost (measured by consumption-based CO₂ emissions). The first set of scatter plots visualizes how CO₂ emissions scale with total trade over time, using bubble sizes to indicate either emissions per trade unit or total emissions. This provides an intuitive sense of both efficiency and impact. The second set of line plots tracks the year-by-year trends of CO₂ emissions per $1 billion traded, highlighting which countries are becoming carbon-efficient in their trade practices. Together, these visualizations allow us to identify trends, compare countries, and assess whether economic growth is being decoupled from environmental harm—an essential question in sustainable development. China has undergone a dramatic transformation over the past few decades, evolving from one of the world's smallest trading economies into the largest by total trade volume. In the early years of the dataset, China lagged behind other countries like the USA and Germany in terms of export and import activity. However, through rapid industrialization, investment in manufacturing, and integration into global supply chains, China's trade surged—eventually surpassing all other economies analyzed. Interestingly, this explosive growth initially came at a high environmental cost. China was the least efficient among the four economies in terms of CO₂ emissions per dollar of trade, reϐlecting its heavy reliance on coal and energy- intensive production. Over time, however, China has significantly improved its carbon efficiency, reducing its CO₂ emissions per $1 billion of trade. This improvement suggests a shift toward cleaner technologies, better energy standards, and a growing focus on environmental responsibility alongside economic growth.
