Using a logistic model, this paper empirically investigated farmers’ perception of climate change and its determinants based on a field survey of 1 350 rural households across five major grain producing provinces in China.  The results show: i) There is an apparent difference in perception levels for long-term temperature and precipitation changes.  Specifically, 57.4% of farmers perceived the long-term temperature change correctly, but only 29.7% of farmers perceived the long-term precipitation change correctly; ii) The factors influencing the farmers’ perceptions are almost completely different between precipitation and temperature, the former are mostly agriculture related, while latter are mostly non-agriculture related, except for farm size; and iii) Farmers are not expected to pay more attention to long-term precipitation changes over the crop growing seasons, because less than 30% of farmers can correctly perceive long-term precipitation change.  Therefore, to improve the accuracy of farmers’ perceptions of climate change, the government is recommended to: i) enhance education and training programs; ii) speed up land transfer and expand household land farm size; iii) develop farmer cooperative organizations; iv) invest more in agricultural infrastructure, specifically in major grain producing regions; and v) improve the agricultural environment and increase farming income.

Water availability is a major constraint on grain production in China, therefore, improving irrigation efficiency is particularly important when agriculture faces extreme weather events.  This paper first calculates irrigation efficiency with a translog stochastic frontier production function and then investigates what happens when extreme weather events occur via a Tobit model.  The estimated results reveal several important features of irrigation practices: i) irrigation efficiency is lower when extreme weather events occur; ii) large variations in irrigation efficiency occur across irrigation facilities; iii) the farm plots exhibit an extreme distribution across efficiency levels; and iv) water-saving techniques, technology adoption, and the maintenance of farmers’ economic resilience are major determinants of irrigation efficiency.  Based on these results we propose the following recommendations: i) farmers should balance crop yield and water use; undertake relevant training programs and adopt water-saving techniques; ii) local governments and researchers should help farmers to find the optimal level of irrigation water use based on their own circumstances and provide better water-saving techniques and training programs rather than simply encouraging farmers to invest in irrigation facilities in the most extreme weather years; and iii) the income level of farm households should be increased so as to improve their resilience to natural disasters.