Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint
Tight energy constraints and severe environmental pollution are two main problems affecting economic growth and sustainable development. As an important economic growth mode, green growth seeks to achieve both economic growth and environmental sustainability. Previous studies on the efficiency evalu...
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Elsevier
2021-03-01
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Series: | Ecological Indicators |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X20311742 |
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author | Qingyuan Zhu Xingchen Li Feng Li Jie Wu Jiasen Sun |
author_facet | Qingyuan Zhu Xingchen Li Feng Li Jie Wu Jiasen Sun |
author_sort | Qingyuan Zhu |
collection | DOAJ |
description | Tight energy constraints and severe environmental pollution are two main problems affecting economic growth and sustainable development. As an important economic growth mode, green growth seeks to achieve both economic growth and environmental sustainability. Previous studies on the efficiency evaluation of green growth ignored fixed-sum energy consumption; this is a significant omission because this constraint is general in China: the government has set targets to reduce energy consumption by 20% and 16% per unit of GDP during its the eleventh (2006-2010) and twelfth (2011-2015) five-year plans. To fill this gap, we propose a new data envelopment analysis (DEA) model to analyze the green growth degree of China’s industrial sectors. The proposed DEA model considers the constraint of total energy consumption in order to conform to the policy of energy and emission reduction. Previous theoretical studies on fixed-sum output construct the common equilibrium efficient frontier (CEEF) only by considering the minimal reduction strategy for the fixed-sum output of all decision making units (DMUs), while ignoring each DMU’s adjustment strategy for fixed-sum input/output. In this paper, we construct a new CEEF by considering each industrial sector’s adjustment of energy consumption. The new CEEF not only guides the industrial sectors to alter their energy consumption structure to achieve green growth but also allows a more accurate evaluation of the energy and environmental efficiency (EEE) of industrial sectors. Last, our proposed model is applied to analyze the green growth and EEE of 36 of China’s industrial sectors. |
first_indexed | 2024-12-17T12:36:23Z |
format | Article |
id | doaj.art-96983d3b57b949cf97fdebed5ff5ef19 |
institution | Directory Open Access Journal |
issn | 1470-160X |
language | English |
last_indexed | 2024-12-17T12:36:23Z |
publishDate | 2021-03-01 |
publisher | Elsevier |
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series | Ecological Indicators |
spelling | doaj.art-96983d3b57b949cf97fdebed5ff5ef192022-12-21T21:48:15ZengElsevierEcological Indicators1470-160X2021-03-01122107235Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraintQingyuan Zhu0Xingchen Li1Feng Li2Jie Wu3Jiasen Sun4College of Economics and Management, Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, 210000, P. R. ChinaSchool of Accounting, Nanjing Audit University, Nanjing, Jiangsu 211815, ChinaSchool of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China; Corresponding author.School of Management, University of Science and Technology of China, Hefei, Anhui Province, 230026, P. R. ChinaResearch Center for Smarter Supply Chain, School of Business & Dongwu Think Tank, Soochow University, Suzhou, ChinaTight energy constraints and severe environmental pollution are two main problems affecting economic growth and sustainable development. As an important economic growth mode, green growth seeks to achieve both economic growth and environmental sustainability. Previous studies on the efficiency evaluation of green growth ignored fixed-sum energy consumption; this is a significant omission because this constraint is general in China: the government has set targets to reduce energy consumption by 20% and 16% per unit of GDP during its the eleventh (2006-2010) and twelfth (2011-2015) five-year plans. To fill this gap, we propose a new data envelopment analysis (DEA) model to analyze the green growth degree of China’s industrial sectors. The proposed DEA model considers the constraint of total energy consumption in order to conform to the policy of energy and emission reduction. Previous theoretical studies on fixed-sum output construct the common equilibrium efficient frontier (CEEF) only by considering the minimal reduction strategy for the fixed-sum output of all decision making units (DMUs), while ignoring each DMU’s adjustment strategy for fixed-sum input/output. In this paper, we construct a new CEEF by considering each industrial sector’s adjustment of energy consumption. The new CEEF not only guides the industrial sectors to alter their energy consumption structure to achieve green growth but also allows a more accurate evaluation of the energy and environmental efficiency (EEE) of industrial sectors. Last, our proposed model is applied to analyze the green growth and EEE of 36 of China’s industrial sectors.http://www.sciencedirect.com/science/article/pii/S1470160X20311742Data envelopment analysisGreen growthSustainable developmentEnergy and environment |
spellingShingle | Qingyuan Zhu Xingchen Li Feng Li Jie Wu Jiasen Sun Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint Ecological Indicators Data envelopment analysis Green growth Sustainable development Energy and environment |
title | Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint |
title_full | Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint |
title_fullStr | Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint |
title_full_unstemmed | Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint |
title_short | Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint |
title_sort | analyzing the sustainability of china s industrial sectors a data driven approach with total energy consumption constraint |
topic | Data envelopment analysis Green growth Sustainable development Energy and environment |
url | http://www.sciencedirect.com/science/article/pii/S1470160X20311742 |
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