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Mechanization in land preparation and irrigation water productivity: insights from rice production

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  • Junpeng Li
  • Wanglin Ma
  • Julio Cesar Botero-R
  • Phong Quoc Luu

Abstract

This 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.

Suggested Citation

  • Junpeng Li & Wanglin Ma & Julio Cesar Botero-R & Phong Quoc Luu, 2024. "Mechanization in land preparation and irrigation water productivity: insights from rice production," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 40(3), pages 379-400, May.
    • Handle: RePEc:taf:cijwxx:v:40:y:2024:i:3:p:379-400
    DOI: 10.1080/07900627.2023.2197080
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