Arable Land Productivity and Its Elastic Loss on the Basis of Farm Household Land Use Behavior

Abstract

Research on grain production capacity in China mostly put emphasis on rigid loss, and neglects elastic loss of grain productivity, especially that from the perspective of farm household land use behavior. At first, the paper elaborates, at different regional scales and temporal levels, the hierarchy of farm household land use and grain production capacity, and the impacts of farm household land use on the elastic loss of grain production capacity. Then, the research progresses in farm household land use, cultivated land intensive use and farmland productivity. We put forward a research framework of grain productivity on the basis of farm household land use and discuss the related study contents and methods. The study on the process, state, and mechanism of farm household land use behavior is the important basis for grain production capacity elastic loss evaluation. We need to explore the spatial and temporal changes of cultivated land intensive use of farm households and the impacts of the difference in intensity on farmland productivity, to analyze the intensity and the difference of elastic loss of grain production capacity at different spatial and temporal scales, and to set up the model of farm household land use-crop growth-the effects on grain production capacity. The researches include the following five aspects: (1) to analyze the mechanism of household land use, (2) to establish a farm household land use decision-making model, (3) to discuss the difference in household land use, (4) to probe into the impacts of farm household land use on grain productivity, (5) to study the change of arable land intensive use and its effects on grain production capacity. Moreover, we need to apply multidisciplinary methods to study on the elastic loss of grain production capacity, such as traditional study method in combination with remote sense information identification, GIS and spatial orientation, and we also need to make some advances in data collection.