{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T10:45:39Z","timestamp":1777632339791,"version":"3.51.4"},"reference-count":48,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T00:00:00Z","timestamp":1688688000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42071286"],"award-info":[{"award-number":["42071286"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2021XJKK0406"],"award-info":[{"award-number":["2021XJKK0406"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Third Xinjiang Scientific Expedition Program","award":["42071286"],"award-info":[{"award-number":["42071286"]}]},{"name":"Third Xinjiang Scientific Expedition Program","award":["2021XJKK0406"],"award-info":[{"award-number":["2021XJKK0406"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Xinjiang is home to one of the most serious resource-based water shortages, and at the same time, it is an important main production area of grain, cotton, and high-quality fruits and vegetables in China, placing a heavy burden on water resources. Based on this, this paper determines the basic condition of water resources in regions of Xinjiang using the water footprint method. It then identifies the drivers of water footprint changes using the population scale effect, policy support effect, investment\u2013output effect, economic structure effect, water use efficiency effect, and water use structure effect via the LMDI decomposition model. Finally, this paper illustrates the trajectory of the regional water footprint through individual stochastic convergence. This study found the following: (1) The water footprint of Xinjiang showed a fluctuating upward trend, and the total water footprint varied significantly between regions. From a compositional standpoint, most regions were dominated by the agricultural water footprint, while spatially, the regional water footprint had a high distribution trend in the south and a low distribution in the north. (2) The driving effects of the water footprint, policy support, population scale, and water use structure were incremental, while the effects of water use efficiency, economic structure, and investment output were decremental. (3) Most regions in Xinjiang showed individual stochastic convergence trends, indicating that regions converged to their respective compensating difference equilibrium levels. In this regard, it is necessary to strengthen R&amp;D and the promotion of water use technology, further optimize the industrial structure, and leverage the positive effect of government investment to alleviate the regional water constraint dilemma and promote high-quality regional economic development.<\/jats:p>","DOI":"10.3390\/systems11070349","type":"journal-article","created":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T00:47:35Z","timestamp":1688950055000},"page":"349","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Analysis of Spatial and Temporal Evolution Characteristics and Influencing Factors of the Water Footprint in Xinjiang from 2000 to 2020"],"prefix":"10.3390","volume":"11","author":[{"given":"Shijie","family":"Wang","sequence":"first","affiliation":[{"name":"College of Management and Economics, Tianjin University, Tianjin 300072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoying","family":"Lai","sequence":"additional","affiliation":[{"name":"College of Management and Economics, Tianjin University, Tianjin 300072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0563-2395","authenticated-orcid":false,"given":"Xinchen","family":"Gu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulic Engineering Simulation and Safety, School of Civil Engineering, Tianjin University, Tianjin 300072, China"},{"name":"State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,7]]},"reference":[{"key":"ref_1","first-page":"717","article-title":"Spatio-temporal Coupling between Rural Water Poverty and Agricultural Modernization in China from 2005 to 2014","volume":"38","author":"Zhao","year":"2018","journal-title":"Sci. Geogr. Sin."},{"key":"ref_2","first-page":"1","article-title":"Ponder on the issues of water resources in the arid region of northwest China","volume":"35","author":"Chen","year":"2012","journal-title":"Arid Land Geogr."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Hoekstra, A.Y., Gerbens-leenes, W., and van der Meer, T.H. (2009). Reply to Jongschaap et al.: The water footprint of Jatropha curcas under poor growing conditions. Proc. Natl. Acad. Sci. USA, 106.","DOI":"10.1073\/pnas.0909626106"},{"key":"ref_4","unstructured":"Hoekstra, A.Y., and Hung, P.Q. (2002). Virtual Water Trade: A Quantification of Virtual Water Flows between Nations in Relation to International Crop Trade, IHE Delft."},{"key":"ref_5","first-page":"2315","article-title":"Planting structure optimization of three main grain crops in 10 northern China provinces based on water footprint method","volume":"44","author":"Nie","year":"2022","journal-title":"Resour. Sci."},{"key":"ref_6","first-page":"436","article-title":"Spatial-temporal assessment of water resource security based on the agricultural water footprint: A case in the Hotan Prefecture of Xinjiang","volume":"39","author":"Zhang","year":"2022","journal-title":"Arid Zone Res."},{"key":"ref_7","first-page":"1279","article-title":"Ecological footprint method in water resources assessment","volume":"28","author":"Huang","year":"2008","journal-title":"Acta Ecol. Sin."},{"key":"ref_8","first-page":"192","article-title":"Research progress and prospects of water footprint and its driving force","volume":"40","author":"Jiang","year":"2021","journal-title":"Ecol. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/S0360-5442(98)00016-4","article-title":"Factorizing changes in energy and environmental indicators through decomposition","volume":"23","author":"Ang","year":"1998","journal-title":"Energy"},{"key":"ref_10","first-page":"69","article-title":"Decoupling Relationship and Effect Decomposition of Agricultural Water Resources Utilization and Economic Growth in Xinjiang, China","volume":"4","author":"Xie","year":"2018","journal-title":"Water Sav. Irrig."},{"key":"ref_11","first-page":"130","article-title":"Estimation of Water-saving Potential of Agricultural Irrigation in Main Grain Producing Areas of China","volume":"8","author":"Lei","year":"2019","journal-title":"Water Sav. Irrig."},{"key":"ref_12","first-page":"67","article-title":"Industrial water use change in Xinjiang based on LMDI method","volume":"39","author":"Yang","year":"2016","journal-title":"Arid. Land Geogr."},{"key":"ref_13","first-page":"153","article-title":"Regional Differences and Influencing Factors of Water Resources Utilization Efficiency in Eight Comprehensive Economic Zones of China","volume":"38","author":"Guo","year":"2022","journal-title":"Ecol. Econ."},{"key":"ref_14","first-page":"123","article-title":"Dynamic Evolution and Convergence of Agricultural Water Use Efficiency in the Yellow River Basin from the Perspective of Green Development","volume":"22","author":"Lu","year":"2022","journal-title":"J. Northwest A&F Univ. (Soc. Sci. Ed.)"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s11442-016-1276-1","article-title":"Quantitative characterization and comprehensive evaluation of regional water resources using the Three Red Lines method","volume":"26","author":"Zang","year":"2016","journal-title":"J. Geogr. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"33751","DOI":"10.1007\/s11356-020-09506-5","article-title":"Convergence of per capita carbon dioxide emissions among developing countries: Evidence from stochastic and club convergence tests","volume":"28","author":"Payne","year":"2020","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1016\/j.scitotenv.2019.02.413","article-title":"The convergence characteristics of China\u2019s carbon intensity: Evidence from a dynamic spatial panel approach","volume":"668","author":"Huang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6167","DOI":"10.1007\/s11356-018-3993-8","article-title":"Convergence in CO2 emissions, carbon footprint and ecological footprint: Evidence from OECD countries","volume":"26","author":"Solarin","year":"2019","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"105322","DOI":"10.1016\/j.resconrec.2020.105322","article-title":"The potential of material productivity alongside energy productivity in climate mitigation: Evidence from convergence tests in the EU28","volume":"167","author":"Karakaya","year":"2021","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"54518","DOI":"10.1007\/s11356-022-19222-x","article-title":"Wavelet and Fourier augmented convergence analysis of methane emissions in more than two centuries: Implications for environmental management in OECD countries","volume":"29","author":"Solarin","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"35404","DOI":"10.1007\/s11356-018-3457-1","article-title":"Is there deterministic, stochastic, and\/or club convergence in ecological footprint indicator among G20 countries?","volume":"25","author":"Bilgili","year":"2018","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_22","first-page":"1463","article-title":"Spatio-temporal Variation of Urban Development and Water Resource Benefit in Oasis Cities of Xinjiang","volume":"32","author":"Dong","year":"2012","journal-title":"J. Desert Res."},{"key":"ref_23","first-page":"961","article-title":"Water Use Efficiency and Its Influencing Factors in Arid Areas of Northwest China","volume":"33","author":"Zhang","year":"2017","journal-title":"J. Ecol. Rural Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.scitotenv.2018.02.200","article-title":"Multi-scale assessments of droughts: A case study in Xinjiang, China","volume":"630","author":"Yao","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_25","first-page":"1","article-title":"Issues and countermeasures on water resources in the Southern Xinjiang","volume":"50","author":"Yin","year":"2023","journal-title":"Geol. China"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1080\/0969160X.2011.593864","article-title":"The Water Footprint Assessment Manual. Setting the Global Standard","volume":"31","author":"Egan","year":"2011","journal-title":"Soc. Environ. Account. J."},{"key":"ref_27","first-page":"651","article-title":"Research on the quantification methods for water footprint of crop production","volume":"48","author":"Wu","year":"2017","journal-title":"J. Hydraul. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s11269-006-9039-x","article-title":"Water footprints of nations: Water use by people as a function of their consumption pattern","volume":"21","author":"Hoekstra","year":"2007","journal-title":"Water Resour. Manag."},{"key":"ref_29","first-page":"96","article-title":"Water Footprint\u2014An Application in Water Resources Research","volume":"5","author":"Jing","year":"2005","journal-title":"Resour. Sci."},{"key":"ref_30","first-page":"861","article-title":"Virtual Water Consumption Calculation and Analysis of Gansu Province in 2000","volume":"58","author":"Xu","year":"2003","journal-title":"Acta Geogr. Sin."},{"key":"ref_31","first-page":"9335","article-title":"Influence factors of water footprint based on spatial panel STIRPAT Model: A case study of Shandong Province","volume":"42","author":"Liu","year":"2022","journal-title":"Acta Ecol. Sin."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.enpol.2015.07.007","article-title":"LMDI decomposition approach: A guide for implementation","volume":"86","author":"Ang","year":"2015","journal-title":"Energy Policy"},{"key":"ref_33","first-page":"110","article-title":"Decoupling and decomposition of driving factors of water resources utilization and economic growth in the Yellow River Basin","volume":"43","author":"Li","year":"2023","journal-title":"Sci. Geogr. Sin."},{"key":"ref_34","first-page":"7","article-title":"Analysis on effect of industrial economic growth on water resources and spatial-temporal evolution in Shandong province","volume":"38","author":"Wu","year":"2015","journal-title":"J. Nat. Sci. Hunan Norm. Univ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1016\/j.agwat.2018.06.041","article-title":"Logarithmic Mean Divisia Index (LMDI) decomposition analysis of changes in agricultural water use: A case study of the middle reaches of the Heihe River basin, China","volume":"208","author":"Zhang","year":"2018","journal-title":"Agric. Water Manag."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"4105","DOI":"10.1007\/s11269-019-02338-0","article-title":"Quantification of the Driving Factors of Water Use in the Productive Sector Change Using Various Decomposition Methods","volume":"33","author":"Yang","year":"2019","journal-title":"Water Resour. Manag."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.2307\/1913712","article-title":"The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis","volume":"57","author":"Perron","year":"1989","journal-title":"Econometrica"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/0304-3932(82)90012-5","article-title":"Trends and Random Walks in Macroeconmic Time Series: Some Evidence and Implications","volume":"10","author":"Nelson","year":"1982","journal-title":"J. Monet. Econ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1080\/07350015.1992.10509904","article-title":"Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis","volume":"10","author":"Zivot","year":"1992","journal-title":"J. Bus. Econ. Stat."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Long, A., Lv, T., Deng, X., Wang, Y., Pang, N., Lai, X., and Gu, X. (2023). Trends, Cycles, and Spatial Distribution of the Precipitation, Potential Evapotranspiration and Aridity Index in Xinjiang, China. Water, 15.","DOI":"10.3390\/w15010062"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1080\/07350015.1992.10509907","article-title":"Nonstationarity and Level Shifts with an Application to Purchasing Power Parity","volume":"10","author":"Perron","year":"1992","journal-title":"J. Bus. Econ. Stat."},{"key":"ref_42","first-page":"1014","article-title":"Spatio-temporal changes and driving forces in the ecological environment of Altay City determined using an MRSEI model","volume":"40","author":"Liu","year":"2023","journal-title":"Arid Zone Res."},{"key":"ref_43","first-page":"65","article-title":"Analysis of land use change and driving forces in resource-based cities: A case study of Karamay City","volume":"43","author":"Bu","year":"2023","journal-title":"J. Tianjin Norm. Univ. (Nat. Sci. Ed.)"},{"key":"ref_44","first-page":"26","article-title":"Mutual optimization of industrial structure and water utilization structure in the arid oasis city","volume":"31","author":"Tang","year":"2017","journal-title":"J. Arid. Land Resour. Environ."},{"key":"ref_45","first-page":"659","article-title":"Analysis on the variation of groundwater resources and influencing factors in Xinjiang plain area from 1956 to 2016","volume":"32","author":"Wu","year":"2021","journal-title":"Adv. Water Sci."},{"key":"ref_46","first-page":"242","article-title":"Spatiotemporal variations and driving forces of agricultural water consumption in Xinjiang during 1988-2015: Based on statistical analysis of crop water footprint","volume":"43","author":"Zhang","year":"2021","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Pang, N., Deng, X., Long, A., Zhang, L., and Gu, X. (2022). Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers. Sustainability, 14.","DOI":"10.3390\/su14137571"},{"key":"ref_48","unstructured":"(2023, June 01). Altai Municipal Government Work Report. 2010-06-13, Available online: http:\/\/alt.gov.cn\/govxxgk\/001001\/2011-03-18\/8592f937-c9b2-43b4-aee7-def1f42940a1.html."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/11\/7\/349\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:08:11Z","timestamp":1760126891000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/11\/7\/349"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,7]]},"references-count":48,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["systems11070349"],"URL":"https:\/\/doi.org\/10.3390\/systems11070349","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,7]]}}}