China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis
As the most populous country in the world, China has a great shortage pressure of water resources. With the acceleration of urbanization, China’s water usage in different sectors will change significantly in next few years. In order to investigate the main reasons behind water usage change in China,...
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MDPI AG
2022-07-01
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author | Boyu Du Xiaoqian Guo Guwang Liu Anjian Wang Hongmei Duan Shaobo Guo |
author_facet | Boyu Du Xiaoqian Guo Guwang Liu Anjian Wang Hongmei Duan Shaobo Guo |
author_sort | Boyu Du |
collection | DOAJ |
description | As the most populous country in the world, China has a great shortage pressure of water resources. With the acceleration of urbanization, China’s water usage in different sectors will change significantly in next few years. In order to investigate the main reasons behind water usage change in China, the Logarithmic Mean Divisia Index (LMDI) model was adopted in this paper from 2000 to 2020 with provincial data. Three effects, including that of technology, industrial structure, and regional scale, were analyzed. In addition, the decoupling effect between water usage and economic growth was also considered. The results show that: (1) from 2000 to 2020, the technological effect, industrial structure effect, and regional scale effect are −376.54, −89.85 and 20.66, respectively; (2) the technical effect and industrial structure effect have the greatest impact on primary industry, followed by secondary industry; (3) the technical effect is greater than the industrial structure effect in most provinces; and (4) the decoupling state gradually changes from weak decoupling to strong decoupling. In the future, the key policy recommendations for water saving are the following: (1) technological innovation has the most efficient effect on the reduction of water usage in China, and (2) the optimization of industrial structure can be helpful in water-saving in the future. |
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institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T03:44:02Z |
publishDate | 2022-07-01 |
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spelling | doaj.art-06ecd18cc3d64ca0b09256df7c7ee1c12023-12-03T14:35:59ZengMDPI AGApplied Sciences2076-34172022-07-011214703910.3390/app12147039China’s Water Intensity Factor Decomposition and Water Usage Decoupling AnalysisBoyu Du0Xiaoqian Guo1Guwang Liu2Anjian Wang3Hongmei Duan4Shaobo Guo5MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, China Academy of Geological Science, Beijing 100037, ChinaMLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, China Academy of Geological Science, Beijing 100037, ChinaMLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, China Academy of Geological Science, Beijing 100037, ChinaMLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, China Academy of Geological Science, Beijing 100037, ChinaChinese Academy of International Trade and Economic Cooperation, Ministry of Commerce, Beijing 100010, ChinaMLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, China Academy of Geological Science, Beijing 100037, ChinaAs the most populous country in the world, China has a great shortage pressure of water resources. With the acceleration of urbanization, China’s water usage in different sectors will change significantly in next few years. In order to investigate the main reasons behind water usage change in China, the Logarithmic Mean Divisia Index (LMDI) model was adopted in this paper from 2000 to 2020 with provincial data. Three effects, including that of technology, industrial structure, and regional scale, were analyzed. In addition, the decoupling effect between water usage and economic growth was also considered. The results show that: (1) from 2000 to 2020, the technological effect, industrial structure effect, and regional scale effect are −376.54, −89.85 and 20.66, respectively; (2) the technical effect and industrial structure effect have the greatest impact on primary industry, followed by secondary industry; (3) the technical effect is greater than the industrial structure effect in most provinces; and (4) the decoupling state gradually changes from weak decoupling to strong decoupling. In the future, the key policy recommendations for water saving are the following: (1) technological innovation has the most efficient effect on the reduction of water usage in China, and (2) the optimization of industrial structure can be helpful in water-saving in the future.https://www.mdpi.com/2076-3417/12/14/7039water intensityLMDI modelTapio modeltechnical effectindustrial structure effectregional scale effect |
spellingShingle | Boyu Du Xiaoqian Guo Guwang Liu Anjian Wang Hongmei Duan Shaobo Guo China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis Applied Sciences water intensity LMDI model Tapio model technical effect industrial structure effect regional scale effect |
title | China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis |
title_full | China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis |
title_fullStr | China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis |
title_full_unstemmed | China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis |
title_short | China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis |
title_sort | china s water intensity factor decomposition and water usage decoupling analysis |
topic | water intensity LMDI model Tapio model technical effect industrial structure effect regional scale effect |
url | https://www.mdpi.com/2076-3417/12/14/7039 |
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