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作 者:陈德桃 程文仕 Chen Detao;Cheng Wenshi(College of Management,Gansu Agricultural University,Lanzhou 730070,China)
出 处:《国土与自然资源研究》2025年第2期17-21,共5页Territory & Natural Resources Study
基 金:国家社科基金西部项目(10XJY031);甘肃省教育科学“十三五”规划课题(GS[2020]GHB4637)。
摘 要:随着经济社会的发展,小规模的分散经营模式已经不能适应现代农业发展的要求,土地适度规模化经营已成必然。本文以白银市景泰县为研究区域,首先基于土地效益最大化视角拟合C-D生产函数,测度景泰县的农地适度经营规模。其次结合主成分分析法,分析景泰县耕地面积变化及其驱动因子。研究表明,(1)景泰县的农地劳均适宜经营规模为2.513 hm^(2),户均适宜经营规模为5.68 hm^(2)。(2)景泰县(2009-2021年)12年间耕地利用变化动态度均大于零,耕地面积总体上呈现先平稳后迅速上升的态势。(3)影响景泰县耕地面积变化的驱动因子主要有经济发展因素、人口驱动力因素、农业生产因素和政策因素。最后在此基础上提出农地适度规模经营的实现路径,为合理确定农地适度经营规模,制定区域差别化的农地利用政策提供参考和借鉴。With the development of economy and society,the small-scale decentralized management model can no longer meet the requirements of modern agricultural development,and the moderate scale management of land has become inevitable.Taking Jingtai County of Baiyin City as the research area,this paper first fits the C-D production function from the perspective of maximizing land benefit to measure the appropriate scale of agricultural land management in Jingtai County.Secondly,combined with principal component analysis,the change of cultivated land area and its driving factors in Jingtai County were analyzed.The results show that,(1)the average suitable management scale of farmland labor in Jingtai County is 2.513 hm^(2),and the average suitable management scale of households is 5.68 hm^(2).(2)The dynamic attitude of cultivated land use change in Jingtai County during the 12 years(2009-2021)was greater than zero,and the cultivated land area showed a stable trend at first and then a rapid increase.(3)The main driving factors affecting the change of cultivated land area in Jingtai County are economic development,population driving force,agricultural production and policy factors.Finally,based on this,the author puts forward the realization path of the appropriate scale management of agricultural land,which provides reference for the reasonable determination of the appropriate scale of agricultural land management and the formulation of regional differential landuse policies.
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