Evaluation of carbon neutrality capacity based on a novel comprehensive model

A Composite Index for Tracking the Evolution towards Energy Transition at Urban Scale: The Turin Case Study

“…Other studies instead adopt hybrid methods of aggregation, normalization and weight allocation: the Carbon Neutrality Capacity Indicator System (CNCIS) [23] combines the best-worst method (BWM) to obtain the subjective criteria weights, together with the entropy method (EM), used to compute the objective criteria weights. Furthermore, the Uniform Smart City Evaluation (USCE) Framework [24] adopts a hybrid method of normalization, coupling the distance to a reference method with the categorical-scale method, and uses both the Budget Allocation (BAL) and the equal weight (EW) weighting methods; BAL is adopted to assign the weights to the indicators comprising the three main sub-indexes (Project Performance Index, Sustainability Impact Index and Sustainability Performance Index).…”

“…Examples of objective weighting methods include Principal Component Analysis (PCA), Factor Analysis (FA), data envelopment analysis and regression analysis [40,46]. Similarly to normalization methodologies, some studies adopt hybrid weighting methods by combining subjective with objective weighting methods [23,47]. However, the equal weighting is the most straightforward method among the objective weighting methodologies because of its applicability, ease of communication and simplicity of use.…”

Green development level assessment and obstacle analysis of China's coal-resource-based regions

“…Chun et al introduced an improved TOPSIS approach that created spatial feature vectors and determined the cosine of the included angle of the vectors to determine the degree of correlation between the vectors. They converted the algebraic distance of alternatives from the PIS and NIS into geometric similarity and improved the refection of the real situation by combining the Euclidean distance and cosince similarity [5] . The improved TOPSIS, however, could not take into account the time characteristic factor and could only perform static thorough evaluations of cross-sectional data without taking into account the overall dynamic changes [4] [11] .…”

“…To discover green transformation and sustainable development, Mu et al employed multi-criteria decision making (MCDM) methodologies to explore the correlation and synergy of the urban 3E system [12] . Chun et al created the CNCIS, a novel approach for evaluating carbon neutrality capability that can dynamically represent the balance between the economy, the environment, and energy in the process of lowering carbon dioxide emissions [5] . Zuo et al used system dynamics to develop models of a 3E system's sustainable evolution that not only emphasized the 3E system's operation but also made clear the complex logical relationships between its components [27] .…”

Exploring the Path of China's Energy Transformation under the "Carbon Peaking & Carbon Neutrality" Goals

“…ZHOU S et al [4] used the Global Change Assessment Model (GCAM) to explore the path for China to achieve energy supply and low-carbon transformation from three scenarios. CHUN YT et al [5] used the 3E model to construct a set of carbon neutrality evaluation indicators and studied the path for improving carbon neutrality capabilities in each province of China. WANG B et al [6] used an improved LEAP model to predict and analyze the thermal power generation and installed capacity for the years 2025 and 2030 under normal and extreme weather conditions.…”