Impact of Urbanisation on the Spatial and Temporal Evolution of Carbon Emissions and the Potential for Emission Reduction in a Dual-Carbon Reduction Context

Abstract

Urbanisation is accelerating under the new economic development trend, but the global warming exacerbated by greenhouse gases has caused a certain degree of constraint on the speed and quality of economic development, among which anthropogenic emissions, mainly from transportation, are more obvious. Therefore, based on the background of urbanisation and taking urban agglomerations as the research object, this study investigates the spatial and temporal mechanisms and dynamics of carbon emissions through the construction of carbon emission models, the identification of influencing factors, and the processing of spatial data and proposes relevant measures for carbon emission control mechanisms. This study finds that the improvement of the per capita economic level and the urbanisation rate will correspondingly lead to an increase in carbon emissions and that the spatial distribution of carbon emissions under passenger and freight transport modes shows a pattern of “low at the ends and high in the middle”, with the predicted carbon emission levels remaining balanced over a long period of time, with a variation rate of less than 1%. The model idea proposed in this study can effectively provide new perspectives and ideas for the differentiated formulation of emission reduction policies, and the government ought to focus more on the dynamic changes of urbanised carbon emissions in future development so as to realise the potential of urban emission reduction.

Spatiotemporal Dynamic Characteristics and Causes of China’s Population Aging from 2000 to 2020

“…The ratio of old to young can take into account the characteristics of birth and mortality rates, and is often used to describe changes in the population age structure, on which it has an obvious influence [59]. Generally speaking, the lower the ratio of old to young, i.e., the more young people there are, the slower the aging trend of the population.…”

“…Generally speaking, the lower the ratio of old to young, i.e., the more young people there are, the slower the aging trend of the population. We referred to the detailed standards of Guo [59], Wang [58], and others on the ratio of old to young, and divided it into five stages, so as to compare and analyze its influence on the population aging process. Areas with a ratio below 15.0% are young population areas, areas with a ratio of 15.0-30.0% are adult areas, areas with a ratio between 30.0 and 50.0% are in the initial geriatric stage, areas with a ratio between 50.0 and 70.0% are in the aging growth stage, and areas with a ratio above 70.0% are in the mature elderly state (Figure 5).…”

Corporate sustainable development performance through top management team's transactive memory system and organizational resilience: A moderated mediation analysis

“…As a leading emerging market on the global stage, China grapples with the challenge of balancing rapid economic growth with sustainable development. This balancing act is particularly noticeable in the manufacturing sector, which serves as a linchpin in the economy and supply chain, especially against the backdrop of the “Dual Carbon” policy and growing consumer scrutiny over corporate social responsibility [ 8 , 9 ]. Owing to increasing competition in global manufacturing, the Chinese industry faces considerable internal and external pressures, including those related to sustainability [ 10 , 11 ].…”

Transient Model for the Hydrodynamic Force in a Hydraulic Capsule Pipeline Transport System

“…In terms of the eco-friendly and sustainability aims of transport, some studies have been conducted. Xue et al [4] proposed a model to analyze the spatial and temporal characteristics and dynamic processes of carbon emissions among the transport options between cities. Regarding urban transport in cities, electric vehicles have been proposed as the most sustainable and least polluting transport option when analyzing the economic and environmental criteria [5].…”