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Irrigation technology and water rebound in China's agricultural sector

Bibliographic Data

ID19467936
AuthorsLin Fang (0009-0001-1710-8144, Hohai University), Fengping Wu (0000-0002-4572-3873, School of Business Hohai University Nanjing Jiangsu China), Yantuan Yu (0000-0002-8728-8793, Department of Economics Jinan University Guangzhou Guangdong China), Lin Zhang (0000-0001-5966-3827, School of Energy and Environment City University of Hong Kong Hong Kong SAR China, corresponding author)
Year2020
Volume24
Issue5
Pages1088-1100
Publication date2020-10-01
Open AccessYes
TypeARTICLE
VenueJournal of Industrial Ecology (JOURNAL)
Journal identifiersISSN: 1088-1980 • E-ISSN: 1530-9290
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1111/jiec.13001
OpenAlexW3016847285
LanguageEN
Citations received4
References cited23

By using the data of 30 provinces from 1998 to 2016 in China, this paper estimates the water rebound effect in the agricultural crop farming by combining Slacks‐based Measure (SBM‐based) of Malmquist Index and Logarithmic Mean Divisia Index (LMDI) method. We find that the average water rebound effect is 70.3%, implying that over two‐thirds of the water saving from irrigation technology improvement is offset by higher water consumption. We find evidence on the regional heterogeneity in terms of the magnitude of rebound: Southwest is the highest, whereas Northwest is the lowest. The heterogeneous rebound effect across regions is mainly due to the difference in water endowment and irrigation land availability. Our results indicate that irrigation technology improvement is not necessarily sufficient for achieving agricultural water conservation. In particular, the difference in natural geography conditions across regions needs to be considered in designing water conservation policies at a sub‐regional level

Agricultural economics · Agriculture · China · Divisia index · Economics · Endowment · Energy intensity · Geography · Irrigation · Statistics · Water conservation · Water resource management · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Environmental Science · Mathematics · Ecology

  • Agricultural Water Use Efficiency and Rebound Effect

    Open Access•Hang Xu, Rui Yang et al.•International Journal of…•2021

  • Who owns saved water? Exploring psychological ownership of efficiency gains in irrigation

    Open Access•Patrick Hoffmann, Sergio Villamayor-Toma•International Journal of Water…•2026

  • Rebound effect and sustainability science

    Open Access•D F Vivanco, J Freire-González et al.•Journal of Industrial Ecology•2022

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    Open Access•Wenli Xiang, Minghong Tan et al.•Environmental Impact Assessment…•2022

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  • Defining the rebound effect

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  • Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect

    Open Access•Lisha Yang, Zhi Li•Energy Policy•2017

  • A slacks-based measure of efficiency in data envelopment analysis

    Open Access•Kaoru Tone•European Journal of Operational…•2001

  • The Everyday Life Context of Increasing Energy Demands

    Open Access•Mikko Jalas•Journal of Industrial Ecology•2005

  • Circular Economy Rebound

    Open Access•Trevor Zink, Roland Geyer•Journal of Industrial Ecology•2017

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    Open Access•Edgar G Hertwich•Journal of Industrial Ecology•2005

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    Open Access•Jianfeng Song, Yanan Guo et al.•Ecological Economics•2018

Citations per year0.8
Citation span2021 - 2026 (6)
Highly citedNo

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