Land use efficiency and security in China

The Water (WAT) Program carried out methodological development and socioeconomic analysis for the “Integrated Analysis and Modelling of Land Use Efficiency and Security under Rapid Agricultural Transformation in China” in Chongqing, Southwest China; the work was funded by the National Nature Science Foundation of China (NSFC).

© Wollwerth | Dreamstime

© Wollwerth | Dreamstime

In 2014 research by the Water (WAT) Program was carried out under the NSFC-IIASA Project on Land Use Change in Mountainous Areas in China in 2014: A Chongqing case study. These activities led to considerable progresses in the modeling and analysis work on the econometric modeling assessment of the contribution of intra-village land circulation market to the reduction of farmland abandonment rates. The following are among the highlights of research undertaken in this project (see also [1] [2] [3]):

  • Field work survey on “out-migration of population and its ecological impact” in Shizhu County to supplement data from GPS and remote sensing.
  • Questionnaire survey on “the impact of urban expansion on ecological system in the hilly areas” carried out in Zhong and Yongchuan counties.
  • The mid-term workshop on “Nexus of Agriculture-Water-Labor in China under the Economic Transition and Climate Change” and the project planning meeting were held at IIASA and attended by leading participants from the NNSF team. One scientist subsequently worked at IIASA for one month after the workshop to adapt IIASA’s PDE model for county-level population modeling and prediction in Chongqing.
  • Questionnaire surveys and interviews on land circulation market within natural villages in Youyang Zhong, and Yongchuan counties was carried out from 10 August to 18 September 2014. Systematic gathering of data on dynamics of public services in mountainous areas against the background of large-scale out-migration of labor force and population was completed and spatial explicit modeling of farmland abandonment patterns and temporal dynamics using GIS, remote sending and other mapping techniques implemented.


[1] Fan D, Ding Q, Tian Z, Sun L, Fischer G (2014). Simulating the adaptive measures of soybean production to climate change in China: based on cross-scale model coupling. Society of Risk Analysis (SRA) – 5th International Conference on Risk Analysis and Crisis Response (RACR-2015). [Günther Fischer and Laixiang Sun supported Qiuying Ding in this research project as part of the IIASA Young Scientists Summer Program 2014.]

[2] Qiu H, Sun L, Xu X, Cai Y, Bai J (2014). Potentials of crop residues for commercial energy production in China: A geographic and economic analysis. Biomass and Bioenergy, 64:110-123 (May 2014) (Published online 21 April 2014).

[3] Feng K, Hubacek K, Sun L, Liu Z (2014). Consumption-based CO2 accounting of China's megacities: The case of Beijing, Tianjin, Shanghai and Chongqing. Ecological Indicators, 47:26-31 (December 2014) (Published online 26 May 2014).


National Nature Science Foundation of China (NSFC)

Institute of Geographical Sciences & Natural Resources Research (IGSNRR) of the Chinese Academy of Sciences (CAS)

Southwest University of China

Chongqing Normal University, China

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Last edited: 21 April 2015


David Wiberg

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Integrated Analysis and Modeling of Land Use Efficiency in China

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