2016
DOI: 10.1155/2016/8957530
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Driven Factors Analysis of China’s Irrigation Water Use Efficiency by Stepwise Regression and Principal Component Analysis

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 resul… Show more

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Cited by 11 publications
(8 citation statements)
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“…xlstat.com/en/solutions/ecology). Regression equations were derived as described elsewhere (Pal and Bhattacharya, 2013;Teng et al, 2015;French and Finch, 2016;Jia et al, 2016). Assuming the bacterial community is a dependent variable changing upon the independent environmental variables, the relative abundance of bacteria can be predicted by the environmental variables.…”
Section: Multiple Factor Regressionmentioning
confidence: 99%
See 1 more Smart Citation
“…xlstat.com/en/solutions/ecology). Regression equations were derived as described elsewhere (Pal and Bhattacharya, 2013;Teng et al, 2015;French and Finch, 2016;Jia et al, 2016). Assuming the bacterial community is a dependent variable changing upon the independent environmental variables, the relative abundance of bacteria can be predicted by the environmental variables.…”
Section: Multiple Factor Regressionmentioning
confidence: 99%
“…Significant environmental factors were extracted from the correlation matrix and combined using a principal component analysis (PCA) and the Varimax Factor Rotation, which yielded the eigenvalues and scores. Relevant eigenvalues and scores were selected using default thresholds (Pal and Bhattacharya, 2013;French and Finch, 2016;Jia et al, 2016). The significant factors and their scores were combined in regression equation to estimate the dependent variable Y (represent the bacterial abundance) from the independent variables X 1 to X i (each of water physical variables) and ß 0 to ß i as coefficient constants, as follow.…”
Section: Multiple Factor Regressionmentioning
confidence: 99%
“…This concept is similar to water delivery efficiency [3]. The factors affecting the efficiency of irrigation water use are complex and diverse, and research on various influencing factors has achieved many results [4][5][6][7]. A canal is the waterway that connect irrigation water sources and irrigated land.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, a concise and feasible index system of irrigation water-use efficiency was obtained. The effectiveness of PCA for simplifying the index system has been proved by Jia et al [30]. After PCA, all the data were transformed into "composite variables" in the cluster analysis in order to capture multiple questions in a ranked ordinal scale.…”
Section: Implications For Similar Researchmentioning
confidence: 99%