Kong Xiangbin, Li Cuizhen, Wang Hongyu, Ma Song, Jiao Jinsheng, Li Tao, Zhang Qingpu, Li Jing. Analysis on arable land intensity difference at plot scale in Jingji Plain[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(14): 331-337.
    Citation: Kong Xiangbin, Li Cuizhen, Wang Hongyu, Ma Song, Jiao Jinsheng, Li Tao, Zhang Qingpu, Li Jing. Analysis on arable land intensity difference at plot scale in Jingji Plain[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(14): 331-337.

    Analysis on arable land intensity difference at plot scale in Jingji Plain

    • In order to analyze the difference of arable land use intensity at plot level,Daxing in Beijing and Quzhou in Hebei province, which located in Jingji plain, were taken as comparative study areas in the paper. On the basis of farm household survey data at the plots level with GPS positioning on the whole county, the two areas were compared by arable land use intensity both in monetary and physical form. The results showed that: the economic development level was one of the most important factor impacting on the arable land use intensity, and the capital intensity for arable land use at plot level in Daxing was higher than that in Quzhou, which was 9 797.30 yuan/ha on average in Daxing, and 5 025.18 yuan/ha in Quzhou. From the composition of the arable land use intensity in monetary form, the arable land use labor intensity took a great share of the total, which the percentage was 67.03% on average in Daxing, and above 70% in Quzhou, while taking in the cost of the family labor in agriculture production. The arable land intensity in physical form showed that fertilizer input amount per ha in Daxing was greater than that in Quzhou, and farmers in Daxing had paid more attention to organic fertilizer adopt. The arable land use intensity at plot level in Daxing had much more spatial and temporal divergence than that in Quzhou, which showed that there were larger individual differences in land use behaviors between Daxing and Quzhou. The spatial variation of the arable land use intensity at pot level mainly came from the diversification of farm household land use objectives, which indicated that we should put emphasis on the spatial variation of farm household land use intensity to understand the driving force of the arable land in the future.
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