This study investigates the nexus between rising temperatures and household energy consumption using data from respondents' electricity bills in the "China Residential Energy Consumption Survey." Our analysis reveals a significant correlation, with an 8.9 % increase in yearly energy consumption observed when the average temperature exceeds 32 °C. Additionally, we explore potential shifts in power usage due to global warming by integrating baseline estimates with daily temperature forecasts from eight contemporary climate models. Our findings project alarming trends: without interventions to curb greenhouse gas emissions, home electricity consumption could surge by 9.59–30.09 % in the medium term and by 9.77–47.70 % in the long run. By shedding light on these critical connections, our research underscores the urgent need for policy actions to mitigate the adverse impacts of climate change on energy consumption patterns.

One of the most exciting issues in the digital economy has been sustainability supply chain management. There are many articles on this area and several different viewpoints. This work focuses on assessing the sustainability of supply chain management based on two main measurements. Firstly, the value of ecological, environmental, and social measurement indicators and the extent of the challenge in collecting information. The objective of this article is to improve the precision of the assessment. A Sustainable Policies for Supply Chain Management (SP-SCM)is proposed in this article. The suggested framework is a synthesis of quality function deployment (QFD) with plithogenic set grouping processes.A summation function is applied: the perception of the decision-maker of criteria required to assess the viability of the supply chain, the measurement criteria dependent on the specifications, and the difficulties in collecting details. This research submitted a real-world test case on the sugar industry to test the proposed framework. In evaluating the sustainability of the supply chain policy, the findings revealed the performance efficiency of the proposed system.