Research on efficiency and influencing factors of agricultural land scale operation in Xinjiang

doi:10.14088/j.cnki.issn0439-8114.2023.02.004

Abstract

Abstract: Taking Xinjiang as the research object, the DEA model was used to measure the efficiency of agricultural land scale management in Xinjiang from 2005 to 2019, the improvement of inefficiency decision-making unit input redundancy was analyzed, and the Tobit model was used to further analyze the influencing factors of agricultural land scale management efficiency. The results showed that the low comprehensive efficiency of Xinjiang’s agricultural land was mainly caused by poor scale efficiency, and the inefficient decision-making units were redundant in terms of land, capital and labor. In terms of influencing factors, the total power of agricultural machinery and the amount of chemical fertilizer had a positive impact on the efficiency of agricultural land scale operations; the use of pesticides and diesel had a negative impact on the efficiency of agricultural land scale operations. Based on this, suggestions were put forward to speed up the transfer of land, encourage the transfer of surplus rural labor, optimize the allocation of production factors, and strengthen agricultural scientific and technological innovation to improve the efficiency of agricultural land scale operation.

Key words: agricultural land, scale management efficiency, influencing factors, DEA-Tobit model, Xinjiang

CLC Number:

F304.7

LIN Wen-ji, SU Xiang-hui, MA Ying, LI Shu-min, ZENG De-peng. Research on efficiency and influencing factors of agricultural land scale operation in Xinjiang[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(2): 20-24.

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