Dynamic assessment of the carbon-neutral process based on FDA method

In this paper, the carbon-neutral process is constructed to measure the development level of a low-carbon economy in 30 provinces of China. The entropy weight method is used to measure the carbon neutralization level. The Functional Data Analysis and various curves are used to investigate potential...

Full description

Bibliographic Details
Main Authors: Xiqiao Lin, Kai Yin, Jinlin Lin, Chunhao Lu, Huiling Qin, Chunli Zhou
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722021060
_version_ 1797952129612120064
author Xiqiao Lin
Kai Yin
Jinlin Lin
Chunhao Lu
Huiling Qin
Chunli Zhou
author_facet Xiqiao Lin
Kai Yin
Jinlin Lin
Chunhao Lu
Huiling Qin
Chunli Zhou
author_sort Xiqiao Lin
collection DOAJ
description In this paper, the carbon-neutral process is constructed to measure the development level of a low-carbon economy in 30 provinces of China. The entropy weight method is used to measure the carbon neutralization level. The Functional Data Analysis and various curves are used to investigate potential dynamic changes. Finally, the heterogeneity analysis is carried out on the sample provinces. We find: (1) The carbon-neutral process’s performance of provinces is significantly different in China, the top three are: Guangzhou (0.6556), Shanghai (0.5559), Jiangsu (0.5095), and the last three are: Xinjiang (0.1583), Gansu (0.1475), Guizhou (0.1453); (2) The carbon-neutral process’s performance in China shows an obvious upward trend and the growth rate has usually been positive; (3) Through heterogeneity analysis, the performance of carbon neutralization process is different in the five regions. But all regions are currently in an upswing or recovery phase. These findings are significant for China to achieve’Carbon Peak in 2030, Carbon Neutrality in 2060’ as scheduled.
first_indexed 2024-04-10T22:41:27Z
format Article
id doaj.art-2e3e43ac11ee4d9e98cd150aec83ec1c
institution Directory Open Access Journal
issn 2352-4847
language English
last_indexed 2024-04-10T22:41:27Z
publishDate 2022-11-01
publisher Elsevier
record_format Article
series Energy Reports
spelling doaj.art-2e3e43ac11ee4d9e98cd150aec83ec1c2023-01-16T04:08:36ZengElsevierEnergy Reports2352-48472022-11-01810371045Dynamic assessment of the carbon-neutral process based on FDA methodXiqiao Lin0Kai Yin1Jinlin Lin2Chunhao Lu3Huiling Qin4Chunli Zhou5Guangxi Power Grid Co., Ltd., 6# Min Zhu Road, Nanning 530000, ChinaChina Center for Energy Economics Research, School of Economics, Xiamen University, Xiamen, 361005, China; Corresponding author.Guangxi Power Grid Co., Ltd., 6# Min Zhu Road, Nanning 530000, ChinaGuangxi Power Grid Co., Ltd., 6# Min Zhu Road, Nanning 530000, ChinaGuangxi Power Grid Co., Ltd., 6# Min Zhu Road, Nanning 530000, ChinaGuangxi Power Grid Co., Ltd., 6# Min Zhu Road, Nanning 530000, ChinaIn this paper, the carbon-neutral process is constructed to measure the development level of a low-carbon economy in 30 provinces of China. The entropy weight method is used to measure the carbon neutralization level. The Functional Data Analysis and various curves are used to investigate potential dynamic changes. Finally, the heterogeneity analysis is carried out on the sample provinces. We find: (1) The carbon-neutral process’s performance of provinces is significantly different in China, the top three are: Guangzhou (0.6556), Shanghai (0.5559), Jiangsu (0.5095), and the last three are: Xinjiang (0.1583), Gansu (0.1475), Guizhou (0.1453); (2) The carbon-neutral process’s performance in China shows an obvious upward trend and the growth rate has usually been positive; (3) Through heterogeneity analysis, the performance of carbon neutralization process is different in the five regions. But all regions are currently in an upswing or recovery phase. These findings are significant for China to achieve’Carbon Peak in 2030, Carbon Neutrality in 2060’ as scheduled.http://www.sciencedirect.com/science/article/pii/S2352484722021060Carbon neutralizationFunctional data analysisDynamic assessment
spellingShingle Xiqiao Lin
Kai Yin
Jinlin Lin
Chunhao Lu
Huiling Qin
Chunli Zhou
Dynamic assessment of the carbon-neutral process based on FDA method
Energy Reports
Carbon neutralization
Functional data analysis
Dynamic assessment
title Dynamic assessment of the carbon-neutral process based on FDA method
title_full Dynamic assessment of the carbon-neutral process based on FDA method
title_fullStr Dynamic assessment of the carbon-neutral process based on FDA method
title_full_unstemmed Dynamic assessment of the carbon-neutral process based on FDA method
title_short Dynamic assessment of the carbon-neutral process based on FDA method
title_sort dynamic assessment of the carbon neutral process based on fda method
topic Carbon neutralization
Functional data analysis
Dynamic assessment
url http://www.sciencedirect.com/science/article/pii/S2352484722021060
work_keys_str_mv AT xiqiaolin dynamicassessmentofthecarbonneutralprocessbasedonfdamethod
AT kaiyin dynamicassessmentofthecarbonneutralprocessbasedonfdamethod
AT jinlinlin dynamicassessmentofthecarbonneutralprocessbasedonfdamethod
AT chunhaolu dynamicassessmentofthecarbonneutralprocessbasedonfdamethod
AT huilingqin dynamicassessmentofthecarbonneutralprocessbasedonfdamethod
AT chunlizhou dynamicassessmentofthecarbonneutralprocessbasedonfdamethod