Polymer demand growth has historically been linked to GDP. As economies evolve and end-use markets become more complex, however, understanding future demand requires a broader view of the factors shaping consumption and industrial activity.
In this insight paper, Dhanish Kalayarasu, Chemicals Analytics & Consulting Manager, and Elizabeth Zhang (张心怡), Business Analyst, explore how Argus applied machine learning techniques to assess polymer demand drivers across global polyethylene and polypropylene markets, and why traditional assumptions may no longer tell the full story.
Download the paper to find out:
- Why population growth, CPI and government spending may be stronger indicators of polymer demand than GDP.
- How demand drivers differ across major markets including China, the US, India and Europe.
- What machine learning reveals about the increasingly complex relationship between economic activity and polymer consumption.
- Why relying on a single macroeconomic indicator can lead to an incomplete view of future market demand.
The analysis draws on insights from Argus Polyethylene Analytics and Argus Polypropylene Analytics, helping subscribers identify the factors shaping long-term demand growth. Subscribers also benefit from direct access to Argus polymers experts covering key global and regional markets.
