Resources Science ›› 2018, Vol. 40 ›› Issue (2): 347-358.doi: 10.18402/resci.2018.02.11

• Orginal Article • Previous Articles     Next Articles

Cognition of irrigation water-saving techniques, adoption intensity and income effects in Gansu, China

Teng HUANG(), Jiajia ZHAO, Juan WEI, Tianjun LIU()   

  1. Center for Western Rural Development, College of Economics and Management, Northwest A&F University, Yangling 712100, China
  • Received:2017-04-17 Revised:2017-07-27 Online:2018-02-20 Published:2018-02-11


Here, we constructed a two-stage model containing farmer cognition and adoption of irrigation water-saving techniques to model the dynamic and multi-stage procedure of irrigation water-saving technique adoption using survey data from 285 households and five cities in Gansu, China. We used a bivariate ordered probit model to analyze the influencing factors of cognition and adoption of irrigation water-saving technology. An endogenous switching regression model was employed to examine the impact of efficient irrigation water-saving techniques on agricultural income. We found that 89.8% of farmers adopt at least one water-saving irrigation technology, but the rate of adopting efficient techniques is only 5%, which means that most farmers use inefficient water-saving techniques. Special attention should be paid to the cognition of techniques and follows a U-shaped age profile. At the same time, gender, education level, village cadre experience, agricultural planting structure, government subsidies and cognition of policies have a positive influence on the cognition of techniques. We found that cognition of water-saving techniques, household net income, proportion of agricultural income and government subsidies enhance adoption of more advanced techniques whereas village cadres experience, distance to township, agricultural planting structure and access to better community-based irrigation infrastructure discourage it. Finally, efficient irrigation water-saving techniques had increased in agricultural income per mu of 19.66% and farmers with below average agricultural income per mu are more likely to adopt the techniques. According to these conclusions, corresponding policy recommendations are discussed.

Key words: irrigation water-saving techniques, adoption intensity, income effect, Bivariate Ordered Probit model, Endogenous Switching Regression model, Gansu