New paper published in the Journal of Rural Studies

23 August 2022

We used machine learning to quantify the determinants for land rental activity of farmers in Sichuan province, China. We find that household with more irrigation infrastructure and closer to markets are more likely to participate in the land rental market.

Leimer, Kristin; Levers, Christian; Sun, Zhanli; Müller, Daniel (2022) Market proximity and irrigation infrastructure determine farmland rentals in Sichuan Province, China. Journal of Rural Studies 94: 375-384.