Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (3): 753-763.doi: 10.11821/dlxb202103018

• Environment and Ecosystem Services • Previous Articles     Next Articles

Differentiation of scale-farmland transfer rent and its influencing factors in China

XU Yu1,2(), LI Xiubin1,2(), XIN Liangjie1   

  1. 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-09-29 Revised:2020-11-26 Online:2021-03-25 Published:2021-05-25
  • Contact: LI Xiubin E-mail:17b@igsnrr.ac.cn;lixb@igsnrr.ac.cn
  • Supported by:
    National Natural Science Foundation of China(41930757);National Natural Science Foundation of China(41571095);Key Deployment Project of Chinese Academy of Sciences(ZDBS-SSW-DQC)

Abstract:

Developing large-scale farm management through farmland transfer is an important trend of agricultural land use change in China. The farmland rents regarding large parcels have profound impacts on the establishment of large farms and their sustainable development, however, there is still a lack of systematic monitoring and research on the rent of large consolidated land at the national level. Based on more than 20000 farmland parcels collected from the most influential land transfer information releasing platform (www.tuliu.com) in China, this paper reveals the overall picture and regional differences of farmland transfer price, and employs the quantile regression method to identify the impacts of parcel attributes on farmland rent differentiation and their heterogeneity. The results show that the average and median of scale-farmland rent are 11339.10 yuan per hectare and 9511.95 yuan per hectare, respectively. The farmland rents were further divided into four levels, namely, ≤ 7500 yuan per hectare, 7500~15000 yuan per hectare, 15000~22500 yuan per hectare and > 22500 yuan per hectare. According to this classification, the proportions of parcels in different rent ranges are 38.93%, 37.97%, 14.52% and 8.59%, respectively. Regarding regional difference, the farmland rents in the Yunnan-Guizhou Plateau and Huang-Huai-Hai Plain are relatively high, 32% and 23% higher than the national average respectively, while the rent in the arid and semiarid regions of northern China was relatively low, which was about half of the national average. Quantile regression results show that land quality, land suitability for large-scale farming operation, land location and land property attributes exert significant impacts on farmland rent. In particular, for lower-rent parcels, the marginal effects of irrigation availability, land flatness and road quality are stronger. However, expressway proximity has a stronger value-added effect on these higher-rent parcels. To reduce the farmland cost of agricultural production in China, the governments at all levels should continue to reduce transaction costs, set up market-based land rent mechanisms, strengthen the construction of farmland infrastructure, and establish a price monitoring system for large-scale land circulation.

Key words: farmland rent, farmland transfer, scale farming operation, quantile regression, influencing factor, China