Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals

Chen, Xiaotong; Yang, Fang; Zhang, Shining; Zakeri, Behnam; Chen, Xing; Liu, Changyi; Hou, Fangxin

doi:10.1016/j.energy.2021.121024

Cited by 17 publications

(4 citation statements)

References 36 publications

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“…It has been widely applied in carbon emissions, land use, industry management, etc. To analyze the temporal and spatial characteristics of regional carbon emission efficiency and regional carbon emission performance differences, this paper mainly introduces three models for analysis: (1) The SE-SBM model based on unexpected output is presented, which not only considers the expected output but also fully considers the impact of unexpected output. This model is different from the traditional DEA model, which allows the efficiency value of the decision-making unit to be greater than or equal to 1, which can more clearly distinguish the differences in carbon emission efficiency in different regions.…”

Section: Change Of Carbon Emission Efficiency Of Yrb 3221 Constructio...mentioning

confidence: 99%

“…The Paris climate change conference in 2015 also proposed to control the rise of the global average temperature within 2 degrees Celsius compared with the level before industrialization and strive to control the temperature rise within 1.5 degrees Celsius. Article 4 of the Paris agreement states that a balance needs to be reached between anthropogenic greenhouse gas emissions by sources and removals by sinks in the second half of the 21st century, zero emissions by 2050 [1,2]. Given this international carbon emission reduction background, as the largest developing country, China has also successively put forward the relevant goals of achieving the "30.60" double carbon goal.…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin

Zhang

2022

PLoS ONE

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The Yellow River Basin (YRB) is China’s substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 (“30.60”) double carbon emission reduction targets. Therefore, taking YRB as the research object, this paper first calculates the carbon emission and the decoupling state in the YRB. Secondly, the super-efficiency slacks-based measurement (SE-SBM) model is combined with the Malmquist index to analyze the temporal and spatial evolution characteristics of YRB’s carbon emission efficiency from static and dynamic perspectives. Thirdly, the dynamic evolution characteristics of carbon emission efficiency are analyzed with the help of the Kernel density function. Finally, the Tobit model analyzes the influencing factors of YRB’s and China’s carbon emission efficiency. The results show that: (1) Among the nine provinces of YRB, the decoupling state between carbon emissions and economic growth in most provinces changes from weak decoupling to strong decoupling, and the decoupling elasticity index shows a fluctuating downward trend. (2) There are significant differences in carbon emission efficiency among provinces, but on the whole, it shows a stable growth trend. The high-value area of carbon emission efficiency is increasing, and the phenomenon of two-level differentiation is improving. The decline of the technological progress index causes the Malmquist index in Qinghai and Ningxia. On the contrary, the rise of the Malmquist index in the other seven provinces is caused by improving the technical efficiency index. (3) Industrial structure, economic development, and industrialization are the main positive factors affecting YRB’s carbon emission efficiency. Urbanization level, green development level, and energy consumption level are the leading negative indicators hindering YRB’s improvement of carbon emission efficiency. Therefore, targeted emission reduction suggestions should be formulated according to YRB’s resource endowment and development stage characteristics.

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Section: Change Of Carbon Emission Efficiency Of Yrb 3221 Constructio...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin

Zhang

2022

PLoS ONE

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“…Carbon dioxide (CO2) emissions from burning fossil fuels and human activities are widely acknowledged as the predominant catalyst for global warming (Gao et al, 2021;Shan et al, 2021;Avcı et al, 2023;Han et al, 2023). Hence, the mitigation of CO2 emissions constitutes a crucial environmental concern (Ma and Cai 2019; Chen et al, 2021). In 2006, China emerged as the foremost contributor to global CO2 emissions (Mi et al, 2017), with a proportion of 24% (Li et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal Dynamics and Driving Forces of Provincial CO2 Emission Responsibilities in China from Multiple Perspectives

Dai,

Zhao

2024

Advances in Management and Applied Economics

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A comprehensive analysis of the carbon emission profile of Chinese provinces from multiple perspectives is required to develop equitable and effective policies to reduce carbon emissions. This study estimates the carbon dioxide (CO2) emission responsibilities of China’s 30 provinces and 22 sectors from production, consumption, and income-based perspectives from 2012 to 2017. Structural decomposition analysis (SDA) is used to determine the driving forces of changes in CO2 emissions in China from 2012 to 2017. The results indicate the following. (1) The dominant CO2 emission sectors are the Electric Power, Steam, and Hot Water industry and the Smelting and Pressing of Metals industry. (2) The scale effect of the initial input is the dominant factor affecting the growth of CO2 emissions, followed by the scale effect of the final demand from 2012 to 2017. (3) The structural effect of the production output is the primary carbon reduction factor, followed by the structural effect of the intermediate product input and the carbon intensity effect. Based on these results, recommendations are provided to reduce CO2 emissions, such as developing green and low-carbon technologies, revising and optimizing the energy composition, accelerating the green transition, and a science-based approach to investment. Keywords: Multiple perspectives, China’s Provinces, Spatial-temporal evolution, MRIO model, SDA model.

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“…According to the Italian standard for the promotion of the minimum environmental criteria (CAM) [ 37 ], this study investigates a sustainable layout to improve the microclimate conditions of an existing square in Italy and answer the current efforts in energy transition [ 38 ]. In previous studies, the authors investigated San Pietro in Vincula Square, in the historic centre of Rome, and demonstrated the effectiveness of cool pavements in terms of AT reduction and the well-being perceived by citizens [ 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic road pavements as a strategy for low-carbon urban infrastructures

Del Serrone,

Peluso,

Moretti

2023

Heliyon

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Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals

Cited by 17 publications

References 36 publications

Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin

Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin

Spatial-temporal Dynamics and Driving Forces of Provincial CO2 Emission Responsibilities in China from Multiple Perspectives

Photovoltaic road pavements as a strategy for low-carbon urban infrastructures

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