Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing

Abstract

Beijing has experienced rapid economic development since the reforms and opening up. However, the traditional development model based on excessive energy consumption has posed great challenges to the ecological environment. To curb environmental degradation and achieve sustainable social development, Beijing has proposed to achieve carbon neutrality by 2050. As an important indicator of energy consumption, it is necessary to clarify how energy intensity (EI) affects carbon emissions (CE) to achieve carbon neutrality in Beijing by 2050. This study first decomposes the drivers of CE in Beijing from 2010 to 2020 using the logarithmic mean Divisia index (LMDI) method and comparatively analyses the impact of EI on CE. Then, the spatial Dubin model (SDM) is used to analyse the spatial spillover effect of EI on CE at the regional level. Finally, the macro moderating role of economic development in the effect of EI on CE is analysed. The results show that the effect of EI has been the main driver of CE reduction in Beijing. Among the industrial sectors, manufacturing and transportation have had the greatest success in reducing CE through EI reduction. At the regional level, there is a spatial spillover effect of EI on CE, and the effect of carbon reduction through the spillover effect of EI is greater than the direct effect of EI. Economic factors have an enhanced moderating effect on the process of EI affecting CE, and this moderating effect has threshold properties.

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO2 emissions: A Quantile–on–Quantile technique

“…This is attributed to RENC effects. This outcome is supported by the studies of (Danish, Ulucak, & Khan, 2020; Li et al, 2023).…”

“…Somoye, Ozdeser, et al (2023) found a similar outcome for Brazil. Li et al (2023) found a negative association for Beijing.…”

“…In terms of the link between EINT and CO 2 , it has been established that EINT can spur CO 2 if countries consume fossils . On the contrary, EINT can also mitigate CO 2 , as supported by (Danish, Ulucak, & Khan, 2020;Li et al, 2023). This mitigation can occur through effective government policies.…”

Exploring Sustainable Planning Strategies for Carbon Emission Reduction in Beijing’s Transportation Sector: A Multi-Scenario Carbon Peak Analysis Using the Extended STIRPAT Model

“…For the indicators with greater impact, similar conclusions were drawn in previous studies on CO 2 emissions in Beijing's transportation sector. Li et al [75] pointed out that transportation energy intensity is a significant main driving factor for CO 2 emission reduction in the transportation sector. Further research showed that transportation energy intensity, economic development, population size, and transportation turnover intensity are also major factors affecting Beijing's transportation CO 2 emissions [66][67][68]70,71].…”

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration

“…The growth in population size will lead to an increasing demand for energy consumption, and in turn to more carbon emissions [55]. The total energy consumption is closely related to the economic growth, environmental regulation, industry structure and other factors, and the reduction in energy intensity and energy structure is influenced by other factors that will directly contribute to carbon emissions [56,57].…”