As an industry that consumes a quarter of social energy and emits third greenhouse gases, the construction has important responsibility to achieve carbon peaking neutrality. Based on Web Science, Science-Direct, CNKI, accounting prediction models emissions from buildings are reviewed. The emission factor method, mass balance actual measurement method analyzed. top-down bottom-up their subdivisi...

After the Paris Climate Conference (COP21), many countries start progressing towards carbon neutrality targets. In doing so, green technology innovations (GTIs) and clean energy are essential factors that can help to achieve goal. Therefore, this paper examines linkages between innovation renewable dioxide emissions based on STIRPAT model in Turkey during time of 1990–2018. The study used testi...

A reduction in CO2 emissions from transportation is of great significance to achieve the goal “peak carbon and neutrality” China. For 2003–2019, this paper calculates Shanghai constructs an extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence, Technology) model for forecasting. The result shows that 2003 2019, total per capita Shanghai’s sector increased, but rate growth ...

In the context of rapid urbanization and regional development worldwide, efficient rational spatial distribution transportation networks is vitally important in achieving sustainable development. this study, we used an adjusted three-dimensional ecological footprint model (EF3D) to assess We explored driving factors influence on EF3D urban agglomerations middle reaches Yangtze River (UAMRYR), C...

Identifying the critical factors of industrial total-factor coal productivity (TCP) and its promotion paths will help achieve goals regional energy conservation pollution reduction. Based on perspective productivity, this paper integrates methods stochastic frontier analysis (SFA), Kaya identity, STIRPAT model to systematically diagnose temporal spatial characteristics heterogeneous sources TCP...

Research on spatiotemporal characteristics and influencing factors of industrial carbon emissions intensity is crucial to the efforts reducing emissions. This paper measures (CI) by energy consumption in Guangdong from 2012 2020 evaluates regional differences CI. In addition, we apply extended STIRPAT (stochastic impacts regression population, affluence technology) GTWR (geographically temporal...

From the perspective of energy consumption optimization, this paper studies impact green finance on carbon emissions in China. Firstly, based theoretical perspective, explores mechanism and path by which influences emissions, analyzes role process. Then, utilizes STIRPAT model, chain multiple mediation effect model panel threshold to empirically analyze influence using provincial data from Chin...

Carbon dioxide (CO2) is the primary driver of global warming. Conducting CO2 emission projections and identifying decoupling relationship between economic growth are significant guidelines for assessing carbon reduction measures green development. This study accounts Chengdu's from 2009-2020 in terms energy activities, industrial processes, waste disposal, photosynthetic spaces, then follows ST...