Low Carbon

With the rapid development of China's economy, it has become crucial to achieve the right balance between economic development and environmental protection. Green growth is a significant approach to addressing the relationship between economic development and the environment. Low-carbon development and ecological protection are two essential aspects of green development, and they tremendously impact enterprises' resource-based supply chain. Hence, this paper seeks to explore the revenue distribution mechanism of the resource-based supply chain in the context of green development.
Key Performance Indicators are important instruments, both in defining high-level goals (international or national) and when planning smart energy communities. However, there is often a gap between the high-level goals, and possible and planned measures on the community level. Evaluation of development scenarios against a defined set of indicators and goals can help urban planners and other stakeholders understand the consequences of their strategies. This article presents a scenario calculator designed to link detailed measures with overall climate goals.
Urban areas account for 70% of carbon emissions, and are likely to be the locus of attention to reduce future emissions in developing countries. However, only a small share of Clean Development Mechanism (CDM) projects under the Kyoto Protocol and only 30% of public climate finance is invested in urban areas. One of the main reasons is that most urban climate change mitigation projects rather provide development than climate benefits, so the question is whether alternative mechanisms can mobilize urban mitigation projects.
Most conventional scheduling problems use production efficiency, cost and quality as their preeminent optimization objectives. However, because of increasing costs of energy and environmental pollution, “low-carbon scheduling” as a novel scheduling model has received increasing attention from scholars and engineers. This scheduling model focuses on reducing energy consumption and environmental pollution at the workshop level.