Forecasting China's water use peak path under coordinating perspective from economic development and technological progress
China holds the distinction of being the foremost global consumer of water resources and contends with a significant level of water scarcity. In light of this quandary, China has been assiduously endeavoring to foster water conservation practices with the ultimate objective of reaching a peak point...
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Veröffentlicht in: | Natural resources forum 2024-02, Vol.48 (1), p.83-105 |
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description | China holds the distinction of being the foremost global consumer of water resources and contends with a significant level of water scarcity. In light of this quandary, China has been assiduously endeavoring to foster water conservation practices with the ultimate objective of reaching a peak point in water use. In this paper, we construct a framework for forecasting China's total water use (TWU) peak path. In this framework, we select influencing factors in terms of both economy and technology to forecast the peak path of China's TWU under six different scenarios, and analyze the economic and technological circumstances at the peak. Our findings indicate that China's TWU will persist in its upward trend based on both the high growth and business as usual scenarios. The projected peak period is estimated to transpire in 2037, 2032, 2030, and 2028, respectively, with the corresponding peak levels amounting to 644.03, 633.93, 625.79, and 620.92 billion m3. However, in the low growth scenarios, China's TWU reached its peak in 2013. The extent of economic development plays a pivotal role in determining the timing and manner of water usage peaking. Early peaking of water usage could potentially result in a loss of gross domestic product (GDP). Furthermore, technological advancements hold the potential to facilitate a reduction in water use without requiring a significant trade‐off between resource conservation and economic development. The results of sensitivity analysis show that the average acreage of water used for irrigation on cropland, GDP, water use efficiency, and population contribute the most to TWU, while the increase in the proportion of industrial, service, and water‐saving irrigation area can reduce water use. Our analytical framework provides a commonly applicable solution for the water use forecast in areas seeking to reach the water use peak or to achieve sustainable development. |
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In light of this quandary, China has been assiduously endeavoring to foster water conservation practices with the ultimate objective of reaching a peak point in water use. In this paper, we construct a framework for forecasting China's total water use (TWU) peak path. In this framework, we select influencing factors in terms of both economy and technology to forecast the peak path of China's TWU under six different scenarios, and analyze the economic and technological circumstances at the peak. Our findings indicate that China's TWU will persist in its upward trend based on both the high growth and business as usual scenarios. The projected peak period is estimated to transpire in 2037, 2032, 2030, and 2028, respectively, with the corresponding peak levels amounting to 644.03, 633.93, 625.79, and 620.92 billion m3. However, in the low growth scenarios, China's TWU reached its peak in 2013. The extent of economic development plays a pivotal role in determining the timing and manner of water usage peaking. Early peaking of water usage could potentially result in a loss of gross domestic product (GDP). Furthermore, technological advancements hold the potential to facilitate a reduction in water use without requiring a significant trade‐off between resource conservation and economic development. The results of sensitivity analysis show that the average acreage of water used for irrigation on cropland, GDP, water use efficiency, and population contribute the most to TWU, while the increase in the proportion of industrial, service, and water‐saving irrigation area can reduce water use. Our analytical framework provides a commonly applicable solution for the water use forecast in areas seeking to reach the water use peak or to achieve sustainable development.</description><identifier>ISSN: 0165-0203</identifier><identifier>EISSN: 1477-8947</identifier><identifier>DOI: 10.1111/1477-8947.12308</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Agricultural land ; Conservation practices ; Economic analysis ; Economic development ; Economic forecasting ; Economics ; Forecasting ; Frame analysis ; GDP ; Gross Domestic Product ; Irrigation ; Irrigation water ; NARX model ; peak forecast ; Resource conservation ; Scarcity ; scenario analysis ; Sensitivity analysis ; STIRPAT model ; Sustainable development ; total water use ; Water ; Water conservation ; Water consumption ; Water resources ; Water scarcity ; Water use ; Water use efficiency</subject><ispartof>Natural resources forum, 2024-02, Vol.48 (1), p.83-105</ispartof><rights>2023 United Nations.</rights><rights>2024 United Nations</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3168-9c3918fdc2ee89a970f2757cf480089441c21cc0e5336b3591b653f1dda23ce23</citedby><cites>FETCH-LOGICAL-c3168-9c3918fdc2ee89a970f2757cf480089441c21cc0e5336b3591b653f1dda23ce23</cites><orcidid>0000-0002-8586-3395 ; 0000-0002-8441-0810</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1477-8947.12308$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1477-8947.12308$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Zhou, Qin</creatorcontrib><creatorcontrib>Zhang, Hengquan</creatorcontrib><creatorcontrib>Zhang, Chenjun</creatorcontrib><creatorcontrib>Fang, Zhou</creatorcontrib><creatorcontrib>Cheng, Changgao</creatorcontrib><title>Forecasting China's water use peak path under coordinating perspective from economic development and technological progress</title><title>Natural resources forum</title><description>China holds the distinction of being the foremost global consumer of water resources and contends with a significant level of water scarcity. In light of this quandary, China has been assiduously endeavoring to foster water conservation practices with the ultimate objective of reaching a peak point in water use. In this paper, we construct a framework for forecasting China's total water use (TWU) peak path. In this framework, we select influencing factors in terms of both economy and technology to forecast the peak path of China's TWU under six different scenarios, and analyze the economic and technological circumstances at the peak. Our findings indicate that China's TWU will persist in its upward trend based on both the high growth and business as usual scenarios. The projected peak period is estimated to transpire in 2037, 2032, 2030, and 2028, respectively, with the corresponding peak levels amounting to 644.03, 633.93, 625.79, and 620.92 billion m3. However, in the low growth scenarios, China's TWU reached its peak in 2013. The extent of economic development plays a pivotal role in determining the timing and manner of water usage peaking. Early peaking of water usage could potentially result in a loss of gross domestic product (GDP). Furthermore, technological advancements hold the potential to facilitate a reduction in water use without requiring a significant trade‐off between resource conservation and economic development. The results of sensitivity analysis show that the average acreage of water used for irrigation on cropland, GDP, water use efficiency, and population contribute the most to TWU, while the increase in the proportion of industrial, service, and water‐saving irrigation area can reduce water use. Our analytical framework provides a commonly applicable solution for the water use forecast in areas seeking to reach the water use peak or to achieve sustainable development.</description><subject>Agricultural land</subject><subject>Conservation practices</subject><subject>Economic analysis</subject><subject>Economic development</subject><subject>Economic forecasting</subject><subject>Economics</subject><subject>Forecasting</subject><subject>Frame analysis</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Irrigation</subject><subject>Irrigation water</subject><subject>NARX model</subject><subject>peak forecast</subject><subject>Resource conservation</subject><subject>Scarcity</subject><subject>scenario analysis</subject><subject>Sensitivity analysis</subject><subject>STIRPAT model</subject><subject>Sustainable development</subject><subject>total water use</subject><subject>Water</subject><subject>Water conservation</subject><subject>Water consumption</subject><subject>Water resources</subject><subject>Water scarcity</subject><subject>Water use</subject><subject>Water use efficiency</subject><issn>0165-0203</issn><issn>1477-8947</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkM1Lw0AQxRdRsFbPXhc8eEq7H0l2cyzFqlAURM_LdjNpU5Ns3E1aiv-820a8OpeBx-_NYx5Ct5RMaJgpjYWIZBaLCWWcyDM0-lPO0YjQNIkII_wSXXm_JYQKysQIfS-sA6N9VzZrPN-Ujb73eK87cLj3gFvQn7jV3Qb3TR40Y63LA3TCW3C-BdOVO8CFszUGYxtblwbnsIPKtjU0HdZNjjswm8ZWdl0aXeHW2bUD76_RRaErDze_e4w-Fg_v86do-fr4PJ8tI8NpKqPM8IzKIjcMQGY6E6RgIhGmiCUh4b2YGkaNIZBwnq54ktFVmvCC5rlm3ADjY3Q33A3BXz34Tm1t75oQqVjGYkYSKmWgpgNlnPXeQaFaV9baHRQl6tiwOvapjn2qU8PBkQ6OfVnB4T9cvczeFoPxB1W0f4k</recordid><startdate>202402</startdate><enddate>202402</enddate><creator>Zhou, Qin</creator><creator>Zhang, Hengquan</creator><creator>Zhang, Chenjun</creator><creator>Fang, Zhou</creator><creator>Cheng, Changgao</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8BJ</scope><scope>C1K</scope><scope>FQK</scope><scope>JBE</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-8586-3395</orcidid><orcidid>https://orcid.org/0000-0002-8441-0810</orcidid></search><sort><creationdate>202402</creationdate><title>Forecasting China's water use peak path under coordinating perspective from economic development and technological progress</title><author>Zhou, Qin ; Zhang, Hengquan ; Zhang, Chenjun ; Fang, Zhou ; Cheng, Changgao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3168-9c3918fdc2ee89a970f2757cf480089441c21cc0e5336b3591b653f1dda23ce23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agricultural land</topic><topic>Conservation practices</topic><topic>Economic analysis</topic><topic>Economic development</topic><topic>Economic forecasting</topic><topic>Economics</topic><topic>Forecasting</topic><topic>Frame analysis</topic><topic>GDP</topic><topic>Gross Domestic Product</topic><topic>Irrigation</topic><topic>Irrigation water</topic><topic>NARX model</topic><topic>peak forecast</topic><topic>Resource conservation</topic><topic>Scarcity</topic><topic>scenario analysis</topic><topic>Sensitivity analysis</topic><topic>STIRPAT model</topic><topic>Sustainable development</topic><topic>total water use</topic><topic>Water</topic><topic>Water conservation</topic><topic>Water consumption</topic><topic>Water resources</topic><topic>Water scarcity</topic><topic>Water use</topic><topic>Water use efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Qin</creatorcontrib><creatorcontrib>Zhang, Hengquan</creatorcontrib><creatorcontrib>Zhang, Chenjun</creatorcontrib><creatorcontrib>Fang, Zhou</creatorcontrib><creatorcontrib>Cheng, Changgao</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Environment Abstracts</collection><jtitle>Natural resources forum</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Qin</au><au>Zhang, Hengquan</au><au>Zhang, Chenjun</au><au>Fang, Zhou</au><au>Cheng, Changgao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Forecasting China's water use peak path under coordinating perspective from economic development and technological progress</atitle><jtitle>Natural resources forum</jtitle><date>2024-02</date><risdate>2024</risdate><volume>48</volume><issue>1</issue><spage>83</spage><epage>105</epage><pages>83-105</pages><issn>0165-0203</issn><eissn>1477-8947</eissn><abstract>China holds the distinction of being the foremost global consumer of water resources and contends with a significant level of water scarcity. In light of this quandary, China has been assiduously endeavoring to foster water conservation practices with the ultimate objective of reaching a peak point in water use. In this paper, we construct a framework for forecasting China's total water use (TWU) peak path. In this framework, we select influencing factors in terms of both economy and technology to forecast the peak path of China's TWU under six different scenarios, and analyze the economic and technological circumstances at the peak. Our findings indicate that China's TWU will persist in its upward trend based on both the high growth and business as usual scenarios. The projected peak period is estimated to transpire in 2037, 2032, 2030, and 2028, respectively, with the corresponding peak levels amounting to 644.03, 633.93, 625.79, and 620.92 billion m3. However, in the low growth scenarios, China's TWU reached its peak in 2013. The extent of economic development plays a pivotal role in determining the timing and manner of water usage peaking. Early peaking of water usage could potentially result in a loss of gross domestic product (GDP). Furthermore, technological advancements hold the potential to facilitate a reduction in water use without requiring a significant trade‐off between resource conservation and economic development. The results of sensitivity analysis show that the average acreage of water used for irrigation on cropland, GDP, water use efficiency, and population contribute the most to TWU, while the increase in the proportion of industrial, service, and water‐saving irrigation area can reduce water use. Our analytical framework provides a commonly applicable solution for the water use forecast in areas seeking to reach the water use peak or to achieve sustainable development.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/1477-8947.12308</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-8586-3395</orcidid><orcidid>https://orcid.org/0000-0002-8441-0810</orcidid></addata></record> |
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subjects | Agricultural land Conservation practices Economic analysis Economic development Economic forecasting Economics Forecasting Frame analysis GDP Gross Domestic Product Irrigation Irrigation water NARX model peak forecast Resource conservation Scarcity scenario analysis Sensitivity analysis STIRPAT model Sustainable development total water use Water Water conservation Water consumption Water resources Water scarcity Water use Water use efficiency |
title | Forecasting China's water use peak path under coordinating perspective from economic development and technological progress |
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