Exploring carbon emissions in Suzhou, a city with significant heavy industry presence, and understanding the factors that influence these are crucial achieving China’s dual-carbon goals within framework of global climate governance. This study utilized land use data statistical from 2008 to 2020 Suzhou. The emission coefficient method was employed calculate emissions, while GIS technology used ...

Elucidating the correlation among tourism, CO2 emissions, and economic growth from a spatiotemporal standpoint is of utmost significance for tourism industry responding to China’s “double-carbon” goal. This study expansively uses bottom-up approach, Theil index, Exploratory Spatial Data Analysis (ESDA), Logarithmic Mean Divisia Index (LMDI) method calculate emissions (TE) at different spatial s...

As a designated national low-carbon pilot city, Nanjing faces the challenge of reducing energy consumption and carbon emissions while experiencing rapid economic growth. This study developed localized Long-range Energy Alternatives Planning System (LEAP) model specifically for constructed four different development scenarios. By utilizing Log Mean Divisia Index (LMDI) decomposition, Tapio decou...

Regional tourism needs to respond positively the “carbon peak and neutrality” target, key most difficult aspect is prediction of carbon emissions. In this paper, total emissions industry in Jiangxi Province from 2000 2019 are calculated by using terminal consumption development coefficient. The factors influencing studied means logarithmic mean weight Divisia index decomposition (LMDI), timing ...

Agricultural land use is an important source of CO2 emissions. Therefore, taking the emissions China’s agricultural during 1995–2020 as a case, we firstly calculated its composition and analyzed spatiotemporal evolution characteristics. Then, Tapio decoupling model logarithmic mean Divisia index (LMDI) were, respectively, used to identify relationship between emission change economic growth, an...

The question of how to balance rapid economic growth with ecosystem pressures has become a key issue in recent years. Using the Tapio decoupling model, spatial autocorrelation and LMDI decomposition we analyzed spatiotemporal variation gross product (GEP) Hubei Province, studied relationship between GEP growth, driving factors variation. results show that, during period 2010–2019, coefficient P...