Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19
According to the October 2021 Glasgow Climate Agreement reaffirming the cooling goals of the Paris Agreement and the Glasgow Leaders Declaration on Forests and Land Use, this research applies the Super-D-DDF model to non-oriented variable returns to scale to evaluate the Organization for Economic Co...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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IOP Publishing
2023-01-01
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Series: | Environmental Research Communications |
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Online Access: | https://doi.org/10.1088/2515-7620/ad0097 |
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author | Dan Wu Fang-Chen Hung I-Fang Lin Ching-Cheng Lu |
author_facet | Dan Wu Fang-Chen Hung I-Fang Lin Ching-Cheng Lu |
author_sort | Dan Wu |
collection | DOAJ |
description | According to the October 2021 Glasgow Climate Agreement reaffirming the cooling goals of the Paris Agreement and the Glasgow Leaders Declaration on Forests and Land Use, this research applies the Super-D-DDF model to non-oriented variable returns to scale to evaluate the Organization for Economic Cooperation and Development (OECD) and China (38 countries in total), collect important production and energy variables from 2016 to 2020, and measure the total efficiency of energy dynamics and its changes during COVID-19. The empirical results are as follows. (1) Comparing energy efficiency from 2016 to 2018 and 2019 to 2020 (during COVID-19), we find that most countries (22 countries) changed from high efficiency to low efficiency, showing a decrease in energy efficiency. (2) The emissions of carbon dioxide in China in 2020 are close to the sum of OECD carbon dioxide emissions, highlighting that the energy policy in China should be adjusted appropriately. (3) From 2016 to 2020, the forest area of various countries has a significant impact on overall energy efficiency performance. In line with the United Nations’ policy goals, countries should adjust forest protection policies to effectively reduce carbon emissions. |
first_indexed | 2024-03-11T17:21:37Z |
format | Article |
id | doaj.art-6417d90a098542d88d9d337ec2f30785 |
institution | Directory Open Access Journal |
issn | 2515-7620 |
language | English |
last_indexed | 2024-03-11T17:21:37Z |
publishDate | 2023-01-01 |
publisher | IOP Publishing |
record_format | Article |
series | Environmental Research Communications |
spelling | doaj.art-6417d90a098542d88d9d337ec2f307852023-10-19T10:58:00ZengIOP PublishingEnvironmental Research Communications2515-76202023-01-0151010500910.1088/2515-7620/ad0097Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19Dan Wu0Fang-Chen Hung1I-Fang Lin2https://orcid.org/0000-0002-2698-9959Ching-Cheng Lu3https://orcid.org/0000-0001-7605-0918School of Humanities and Management, Zhejiang Chinese Medical University . No. 260 Baichuan Street, Fuyang District, Hangzhou, 311402, People’s Republic of ChinaDepartment of Applied Economics, Fo Guang University . No. 160, Linwei Road, Jiaoxi Township, Yilan County, 262, TaiwanDepartment of Economics, Soochow University . 56, Kueiyang St., section 1, Taipei, 100, TaiwanDepartment of Applied Economics, Fo Guang University . No. 160, Linwei Road, Jiaoxi Township, Yilan County, 262, TaiwanAccording to the October 2021 Glasgow Climate Agreement reaffirming the cooling goals of the Paris Agreement and the Glasgow Leaders Declaration on Forests and Land Use, this research applies the Super-D-DDF model to non-oriented variable returns to scale to evaluate the Organization for Economic Cooperation and Development (OECD) and China (38 countries in total), collect important production and energy variables from 2016 to 2020, and measure the total efficiency of energy dynamics and its changes during COVID-19. The empirical results are as follows. (1) Comparing energy efficiency from 2016 to 2018 and 2019 to 2020 (during COVID-19), we find that most countries (22 countries) changed from high efficiency to low efficiency, showing a decrease in energy efficiency. (2) The emissions of carbon dioxide in China in 2020 are close to the sum of OECD carbon dioxide emissions, highlighting that the energy policy in China should be adjusted appropriately. (3) From 2016 to 2020, the forest area of various countries has a significant impact on overall energy efficiency performance. In line with the United Nations’ policy goals, countries should adjust forest protection policies to effectively reduce carbon emissions.https://doi.org/10.1088/2515-7620/ad0097OECDcarbon emissionsforest areaenergy efficiencyCOVID-19 |
spellingShingle | Dan Wu Fang-Chen Hung I-Fang Lin Ching-Cheng Lu Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19 Environmental Research Communications OECD carbon emissions forest area energy efficiency COVID-19 |
title | Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19 |
title_full | Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19 |
title_fullStr | Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19 |
title_full_unstemmed | Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19 |
title_short | Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19 |
title_sort | assessing dynamic energy efficiency in the organization for economic co operation and development oecd countries and china during covid 19 |
topic | OECD carbon emissions forest area energy efficiency COVID-19 |
url | https://doi.org/10.1088/2515-7620/ad0097 |
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