Marine plastic waste, global warming, and ozone holes have become global environmental problems that need to be resolved urgently. With the promulgation of plastic bans in many countries, the global plastic waste trade will undergo tremendous change. In order to explore the future evolutionary trend of the global plastic waste trade network, this paper focuses on the analysis of the import and export of plastic waste from major trading countries around the world. Based on the bilateral trade volume of plastic waste from 1990 to 2019, a global plastic waste trade network is constructed, and the structure and characteristics of the network are studied. The results show that the global plastic waste trade network has shifted its center of gravity, and the import center has gradually shifted from China to Southeast Asia. The global plastic waste trade network presents a sparse state. Moreover, the dependence of related countries on plastic waste trade decreases, whilst the closeness of trade links also decreases. Sudden factors such as plastic waste import bans have a disruptive impact on plastic waste management.

Carbon neutrality and resilience are two of important goals pursued by supply chains today. This study seeks to determine how carbon footprint reduction (CFR) can be achieved in a resilient supply chain from a process integration perspective. Based on contingency theory, we employed the decision-making trial and evaluation laboratory (DEMATEL) approach to examine the critical influencing factors of process integration using evaluations from academic and professional experts. Our findings reveal that, first, at the strategic level, supply chain collaboration (SCC) and supply chain agility and responsiveness (SCAR) have the highest contributions to process integration. Second, process and control risks have the highest contributions in supply chain risk management; herein, collaborative planning, forecasting, and replenishment (CPFR) holds the highest contribution in the SCC, visibility and velocity have the highest contributions in the SCAR, and supply chain efficiency holds the highest contribution in supply chain flexibility (SCF). Finally, CPFR has a significant influence on both supplier and customer engagement, with supply chain intelligence influencing customer engagement in the SCC. Both the standardisation and parallel processes influence supplier spending in the SCF. These findings provide a new conceptual framework for empirical research and an action plan for supply chains to pursue carbon neutrality.

Motivated by the industrial observation of the increasing application of blockchain in the supply chain and its improvement in terms of consumer demand, this study examines the impact of investment decisions of blockchain data acquisition nodes upstream and downstream of the supply chain on firms’ product recycling and pricing, market demand, and profits. The influences of different pricing leadership (i.e. supplier-led vs. retailer-led) in a supply chain are also thoroughly investigated. First, the presence of a strong retailer dramatically reduces suppliers’ incentive to invest in blockchain. However, the supplier is still likely to invest more in a retailer-led supply chain than that in a supply chain led by itself under certain conditions; that is, the cost of blockchain is relatively small, or consumers’ sensitivity to blockchain or product recycling benefits is rather large. Second, the total number of blockchain data acquisition nodes, market demand, and supply chain profit in a retailer-led supply chain are higher than in a supplier-led supply chain. Finally, interestingly, the supplier will be better off in a retailer-led supply chain when the return effect of product recycling is relatively high, while the cost-effectiveness of blockchain investment is relatively low.

China’s waste plastic ban has sparked a discussion about how the global plastic waste trade (GPWT) will develop in the future. To answer this question, this article uses the link forecasting and QAP method to predict and analyze the possible development trend of the GPWT in the future. The research results show that GPWT has certain stability and sustainability; although plastic waste trade has narrowed under the ban, it still has the potential trend of reconnecting the same type of links. Specifically, from a regional perspective, the future trade of new plastic waste trade will be dominated by cross-regional trade. Plastic waste may continue to flow to countries in the Asian–Pacific, Middle East, and African regions, while European countries will strengthen the internal recycling and processing of plastic waste. From the perspective of the national income level, the establishment of the new relationship will show an evolutionary trend in which high-income countries are dominated and the scale of trade between non-high-income countries expands. In addition, the differences in the level of economic development, liner transport connectivity, and the proportion of mismanagement of plastic waste among countries has a positive effect on the establishment of a new relationship in the GPWT, while tariff rates have an inhibitory effect. In general, the GPWT will still exist in the future, which requires the international community to guide the GPWT to promote the recycling and reuse of plastic waste in a real sense and adjust the unreasonable trade model.

Plastics are an important basic material for national economic development. In the post-COVID-19 stage, green supply chain management has attracted widespread attention. In order to achieve carbon neutrality in the plastics industry, we explored the drivers of supply chain decarbonization in the plastics industry from a microlevel corporate supply chain perspective. Four primary factors and 21 subfactors were identified from the existing literature, and after validation by 12 experts, the causal relationships between the factors were analyzed using the Gray-DEMATEL method. The Gray-DEMATEL method was applied to analyze the causal relationships between the factors. The findings show that joint promotion by stakeholders is the most significant cause driver and market impact is the most prominent driver in the first-level indicator, both of which have a significant impact on low-carbon production. “Process optimization”, “Top-management support”, “Government regulations and support”, and “Information disclosure” are the most significant cause secondary drivers under the corresponding Tier 1 indicator factors, respectively, to provide realistic guidance for companies engaged in the plastics industry to continue to develop a low-carbon circular economy to achieve net-zero emissions under the challenges of COVID-19. Therefore, companies need to focus on the drivers of most importance in this work and understand the interplay between factors.