Clustering of economic efficiency of urban energy carbon emissions based on decoupling theory

[1]  R. Inglesi‐Lotz,et al.  The role of green technology on carbon emissions: does it differ across countries’ income levels? , 2022 .

[2]  L. Tang,et al.  Decoupling Analysis between Economic Growth and Air Pollution in Key Regions of Air Pollution Control in China , 2021, Sustainability.

[3]  Ai-xiang Tao.  Study on the relationship between water resources utilization and economic development based on decoupling theory in Beijing , 2021 .

[4]  D. Hensher.  Electric cars – they may in time increase car use without effective road pricing reform and risk lifecycle carbon emission increases , 2020 .

[5]  Peng Li,et al.  Analysis of influencing factors of energy consumption in rural Henan based on symbolic regression method and Tapio model , 2021, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[6]  I. Ozturk,et al.  Cointegration and Causality Analysis of Dynamic Linkage between Industrial Energy Consumption and Economic Growth in Pakistan , 2019, Sustainability.

[7]  Yan Song,et al.  Study on the decoupling relationship between CO2 emissions and economic development based on two-dimensional decoupling theory: A case between China and the United States , 2019, Ecological Indicators.

[8]  刘骏 Liu Jun,et al.  Measuring of tourism eco-efficiency and its comparative research based on carbon emissions , 2019 .

[9]  Yaning Chen,et al.  Quantitative analysis of the impact factors of conventional energy carbon emissions in Kazakhstan based on LMDI decomposition and STIRPAT model , 2018, Journal of Geographical Sciences.

[10]  W. Liu,et al.  RESEARCH ON CARBON EMISSION DIVERSITY FROM THE PERSPECTIVE OF URBANIZATION , 2018 .

[11]  Yalin Lei,et al.  Carbon emission efficiency and spatial clustering analyses in China’s thermal power industry: Evidence from the provincial level , 2017 .

[12]  Ming Zhang,et al.  Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China , 2017 .

[13]  Bo Shen,et al.  Can environmental innovation facilitate carbon emissions reduction? Evidence from China , 2017 .

[14]  Evor L. Hines,et al.  The Euclidean Memory Array — A vector quantisation technique for the processing of data from interview forms , 1994, Neural Computing & Applications.