Mechanization in land preparation and irrigation water productivity in the context of climate change: Implications for sustainable rice production and food security

dc.contributor.authorMa, Wanglin
dc.coverage.spatialTokyo, Japan (online)
dc.date.accessioned2024-02-08T01:16:09Z
dc.date.available2024-02-08T01:16:09Z
dc.date.created2022-10-26
dc.description.abstractThis study investigates how and to what extent mechanization in land preparation (MLP) can help improve irrigation water productivity (IWP) (measured as rice yield per unit volume of irrigation water). We employed an endogenous treatment regression model to estimate the 2021 China Land Economic Survey (CLES) data collected from Jiangsu province, China. The results reveal that MLP adoption increases IWP significantly; a higher IWP is determined by whether or not farmers adopt MLP rather than through which channel they access their farm machines; the effects of MLP adoption on IWP are monotonically increasing across the selected quantiles.
dc.identifier.urihttps://hdl.handle.net/10182/16861
dc.sourceADBI Conference on Water Resource Management in Agriculture for Achieving Food and Water Security Under Climate Change in Asia
dc.titleMechanization in land preparation and irrigation water productivity in the context of climate change: Implications for sustainable rice production and food security
dc.typeConference Contribution - unpublished
lu.contributor.unitLU
lu.contributor.unitLU|Faculty of Agribusiness and Commerce
lu.contributor.unitLU|Faculty of Agribusiness and Commerce|GVCT
lu.contributor.unitLU|Research Management Office
lu.contributor.unitLU|Research Management Office|OLD QE18
lu.contributor.unitLU|Research Management Office|OLD PE20
lu.identifier.orcid0000-0001-7847-8459
lu.subtypeConference Oral Presentation
pubs.finish-date2022-10-27
pubs.publication-statusUnpublished
pubs.start-date2022-10-26
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