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.

Agriculture, the basis of a country's economic and social development, is restricted by natural climate conditions. Characteristic agriculture varies as different regions have diverse climate conditions. Due to its outstanding drought tolerance and adaptability in arid and semi-arid marginal areas and barren saline–alkali land, the jujube fruit is considered an important characteristic of agriculture in nine provinces along the Yellow River in China. It plays an important role in economic development and farmers' income; however, due to the constraints of capital, technology, price fluctuations and other aspects, farmers in these provinces are unwilling to invest in jujubes and the further development of the jujube industry is restricted. Based on this, this study selected 11 factors that may affect farmers' willingness to input in jujube as variables; the influence of these independent variables was quantitatively analysed using the survey data of 984 farmers in main producing provinces with SPSSAU software and principal component analysis method. Three principal components were extracted according to each variable's characteristic roots and variance interpretation rate, and the influencing factors were classified into three factors according to the load coefficient of these principal components. Three relevant components are agricultural incentive measures (technical training, agricultural loans, agricultural insurance and government subsidies), jujube planting input and output (average income and input cost per acre) and jujube sales status (sales difficulty and sales income trend). Furthermore, the multiple linear regression model was used to perform regression analysis on the eight key factors involved under the three categories and the results showed that R² was 0.756, p values were all <0.01 and VIF values were all <5. The results indicated that the model was effective and verified that these eight key factors impacted farmers' willingness to plant jujubes. This study aimed to quantitatively describe each independent variable's influence on farmers' willingness to invest in jujube planting and propose corresponding incentive measures according to their influence effects. The study can provide new ideas for improving farmers' willingness to invest in jujube and a practical basis for the agricultural sector to implement accurate policies and has direct guiding significance and value for promoting the development of the jujube industry. Meanwhile, the results also have a certain reference value for the research of fruit planting input in other regions.

Promoting clean energy transition in rural areas is a key path to achieving global sustainable development, protecting public health, and promoting ecological livability. Based on data from the China Family Panel Studies (CFPS), this paper employs a multi-dimensional fixed effects model to evaluate the impact of income inequality on rural households’ clean energy transition (CET) and examines its underlying mechanisms. Research findings indicate that income inequality significantly suppresses rural households’ CET, primarily by reducing basic energy consumption and hindering the upgrading of basic energy consumption structures. Government governance quality exerts a significant negative moderating effect on the relationship between income inequality and rural households’ CET. Further analysis shows that the inhibitory effect of income inequality on CET is more significant in the regions with a low economic development level and low coal resource endowment, and in the western and northeastern regions of China. Therefore, while continuously promoting rural income growth, the government should prioritize equitable distribution, strengthen institutional capacity-building, improve the social service and security system, and facilitate rural households’ CET.