This paper builds an evaluation index system, uses the entropy weight method (EWM) to decide the weights and, based on the coupling coordination degree model (CCDM), it systematically studies the coupling relationship between Chinese cold chain logistics and the Chinese economy from 2010 to 2019. It performs a grey relational analysis (GRE) to explore the main factors influencing the coordinated development of the two. The results show that the coupling coordination degree between the two presents a steady upward trend, and their coupling relationship has been upgraded from ‘coordination’ to ‘good coordination’. They also indicate that the added value in the tertiary industry, the per capita gross domestic product (GDP), and household consumption levels are the main factors affecting the development of cold chain logistics, while the per capita cold storage capacity, the turnover of road cold chain freight, and the volume of human-power employed in cold chain logistics are the main factors affecting economic development. This study makes suggestions to support the coordinated development of cold chain logistics and economy, and provides a scientific basis for further research.

Fresh agricultural produce, which is characterized by post‐harvest ripening and is required for long‐term transportation in cross‐regional trade, is commonly harvested at the unripe stage and undergoes a routine process of natural ripening followed by senescence. A model based on the dynamic quality of post‐harvest ripening agricultural produce (PRAP) was proposed to optimize decisions to improve supply chain profits. To verify its effectiveness and robustness, the model is applied to a real banana supply chain. The theoretical derivations and simulation results show that, first, the optimal retail price and presentation timing based on the model can maximize the supply chain profit. Second, the proper choice of the combination of picking maturity and preservation temperature based on the time from picking to the retailer can effectively improve the on‐shelf quality and supply chain profit. Third, supply chain management strategies for PRAP and fully ripened agricultural produce should be developed based on the different quality change characteristics of these two produce types.