摘要
采用随机前沿生产函数,对北京市及其主产地蔬菜生产要素替代关系进行实证分析,在此基础上通过似不相关回归方法分析其替代关系变化的影响因素,以此揭示地区蔬菜产业发展潜力。结果表明:要素之间均存在替代作用,其中土地对其他要素替代相对灵活,而资本对其他要素替代缺乏弹性;要素替代关系实质上揭示了农户技术选择特征,反映了该农户农业生产潜力,通过分析要素替代关系及影响因素,可以将农户农业生产潜力量化,对于要素禀赋处于劣势的农户,如劳动力资源较少、蔬菜收入在总收入中比重较小,其生产潜力更多来自资本要素投入;对于要素禀赋处于优势的农户,如受教育程度较高、接受过相关蔬菜种植培训时,其生产潜力更多来自土地要素投入。
Based on the stochastic frontier production function,the substitution elasticity of agricultural land,labor and capital in both Beijing and its supply regions are estimated and the influencing factors of the substitution relationships are analyzed by using the seemingly unrelated regression estimation model,which forms the production potential.The results show that:There are substitution effects among factors,among which land is relatively flexible for substitution of other factors,while capital is inelastic for substitution of other factors.Production factor substitution reveals the characteristics of technology selection.Farmers in essence reflects the farmers agricultural production potential,through the analysis of element substitution and influence factors of farmers can be quantized,for farmers at a disadvantage of factor endowments,such as less labor resources,vegetables in small proportion in the total revenue,income from its production potential is more than capital inputs.For farmers with advantages in factor endowment,e.g.,higher education and training in vegetable cultivation,their production potential is more likely from land input.
作者
吴舒
穆月英
聂凤英
WU Shu;MU Yueying;NIE Fengying(Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China;College of Economic&Management,China Agricultural University,Beijing 100083,China)
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2020年第7期196-204,共9页
Journal of China Agricultural University
基金
国家社科基金重大项目(18ZDA074)
国家重点研发计划项目(2016YFD0300210)
国家自然科学基金项目(71773121)
现代农业产业技术体系(BAIC01-2018)。
关键词
生产要素替代
随机前沿生产函数
似不相关回归模型
生产潜力
production factor substitution
stochastic frontier production function
seemingly unrelated regression estimation model
production potential
