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Driven Factors Analysis of China’s Irrigation Water Use Efficiency by Stepwise Regression and Principal Component Analysis

Author

Listed:
  • Renfu Jia
  • Shibiao Fang
  • Wenrong Tu
  • Zhilin Sun

Abstract

This paper introduces an integrated approach to find out the major factors influencing efficiency of irrigation water use in China. It combines multiple stepwise regression (MSR) and principal component analysis (PCA) to obtain more realistic results. In real world case studies, classical linear regression model often involves too many explanatory variables and the linear correlation issue among variables cannot be eliminated. Linearly correlated variables will cause the invalidity of the factor analysis results. To overcome this issue and reduce the number of the variables, PCA technique has been used combining with MSR. As such, the irrigation water use status in China was analyzed to find out the five major factors that have significant impacts on irrigation water use efficiency. To illustrate the performance of the proposed approach, the calculation based on real data was conducted and the results were shown in this paper.

Suggested Citation

  • Renfu Jia & Shibiao Fang & Wenrong Tu & Zhilin Sun, 2016. "Driven Factors Analysis of China’s Irrigation Water Use Efficiency by Stepwise Regression and Principal Component Analysis," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:8957530
    DOI: 10.1155/2016/8957530
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    1. Poussin, J.C. & Imache, A. & Beji, R. & Le Grusse, P. & Benmihoub, A., 2008. "Exploring regional irrigation water demand using typologies of farms and production units: An example from Tunisia," Agricultural Water Management, Elsevier, vol. 95(8), pages 973-983, August.
    2. Green, Timothy R. & Yu, Qiang & Ma, Liwang & Wang, Tian-Duo, 2010. "Crop water use efficiency at multiple scales," Agricultural Water Management, Elsevier, vol. 97(8), pages 1099-1101, August.
    3. Li, Feng-Min & Wang, Ping & Wang, Jun & Xu, Jin-Zhang, 2004. "Effects of irrigation before sowing and plastic film mulching on yield and water uptake of spring wheat in semiarid Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 67(2), pages 77-88, June.
    4. Abu-Madi, Maher O., 2009. "Farm-level perspectives regarding irrigation water prices in the Tulkarm district, Palestine," Agricultural Water Management, Elsevier, vol. 96(9), pages 1344-1350, September.
    5. K. C. Lam & T. S. Hu & S. T. Ng, 2005. "Using the principal component analysis method as a tool in contractor pre-qualification," Construction Management and Economics, Taylor & Francis Journals, vol. 23(7), pages 673-684.
    6. Wahbi, A. & Shaaban, A.S.A., 2011. "Relationship between carbon isotope discrimination ([Delta]), yield and water use efficiency of durum wheat in Northern Syria," Agricultural Water Management, Elsevier, vol. 98(12), pages 1856-1866, October.
    7. Hutton, R.J. & Loveys, B.R., 2011. "A partial root zone drying irrigation strategy for citrus--Effects on water use efficiency and fruit characteristics," Agricultural Water Management, Elsevier, vol. 98(10), pages 1485-1496, August.
    8. Chris Chatfield, 1995. "Model Uncertainty, Data Mining and Statistical Inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(3), pages 419-444, May.
    9. Salman, Amer Zahi & Al-Karablieh, Emad, 2004. "Measuring the willingness of farmers to pay for groundwater in the highland areas of Jordan," Agricultural Water Management, Elsevier, vol. 68(1), pages 61-76, July.
    10. Yoo, Seung-Hwan & Choi, Jin-Yong & Jang, Min-Won, 2008. "Estimation of design water requirement using FAO Penman-Monteith and optimal probability distribution function in South Korea," Agricultural Water Management, Elsevier, vol. 95(7), pages 845-853, July.
    11. Kahlown, Muhammad Akram & Raoof, Abdur & Zubair, Muhammad & Kemper, W. Doral, 2007. "Water use efficiency and economic feasibility of growing rice and wheat with sprinkler irrigation in the Indus Basin of Pakistan," Agricultural Water Management, Elsevier, vol. 87(3), pages 292-298, February.
    12. Ito, Y. & Momii, K. & Nakagawa, K., 2009. "Modeling the water budget in a deep caldera lake and its hydrologic assessment: Lake Ikeda, Japan," Agricultural Water Management, Elsevier, vol. 96(1), pages 35-42, January.
    13. Bluemling, Bettina & Yang, Hong & Pahl-Wostl, Claudia, 2007. "Making water productivity operational--A concept of agricultural water productivity exemplified at a wheat-maize cropping pattern in the North China plain," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 11-23, July.
    14. Boelens, Rutgerd & Vos, Jeroen, 2012. "The danger of naturalizing water policy concepts: Water productivity and efficiency discourses from field irrigation to virtual water trade," Agricultural Water Management, Elsevier, vol. 108(C), pages 16-26.
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