Scale operation of farmland favors farmer's income and grain yield rise and development of low-carbon economy. Based on the data collected from 137 rural households in Lijin of Shandong Province, abiding by the theory of risk aversion and appended bonus regressive rule of production, interesting insights are obtained into farmer's willingness to accept scale operation of farmlands. A logistic regressive model, which includes such variables as personal characteristics of the household, family conditions, economic features, and external factors is established. Furthermore Cobb-Douglas' production function is applied to determine the suitable scale when farmers benefit most from optimal allocation of arable land, capital and labor. The results are obtained as follows. Most of the households strongly desire to expand farmland operation, and 64.86% of them make that decision based on the law of risk aversion. Household master's vocational status, land renting experience, land resource potentials and off-farm income level are the dominant influential factors for farmers to carry out scale operation. The conclusion is that households with higher off-farm income and more job opportunities and scarcer land resources are less willing to rent anyway. However, households that have already rented show stronger aspiration for more farmlands. This paper finds that under the current productivity, the appropriate scale of farmland operation is 22.2 mu per capita, and the rural labor transfer index is 65.02%. The key to farmland scale operation is to transfer rural surplus labor to the urbanized areas. It is very important to establish mechanisms and policies for innovation to guarantee farmland scale operation.
LU Shasha, LIU Yansui
. Modeling Analysis of Suitable Operating Scale of Agricultural Land in Circulation: A Case Study Based on Household Surveys in Lijin of Shandong[J]. PROGRESS IN GEOGRAPHY, 2011
, 30(5)
: 600
-606
.
DOI: 10.11820/dlkxjz.2011.05.012
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