数字普惠金融能否促进农业净碳汇效率——基于面板门槛模型的检验Digital Universal Finance Can it Promote the Efficiency of Agricultural Net Carbon Sequestration——Tests Based on Panel Sill Models
钱力,张轲,宋俊秀
摘要(Abstract):
探讨数字普惠金融对农业净碳汇效率的影响,对于丰富数字金融理论体系和促进农业低碳发展提质增效具有理论与现实意义。本文基于2011—2020年全国30个省市级数据,采用Malmquist指数方法测算碳排放效率,运用面板门槛模型探究数字普惠金融对农业净碳汇效率的直接影响,采用逐步回归法探究以技术创新为中介的间接影响,鉴于地理区位和政策倾斜等原因,进一步对其影响效应的异质性进行研究。研究发现,数字普惠金融对农业净碳汇效率具有正向促进作用,且作用大小在数字普惠金融的不同门槛值区间存在差异性,在数字普惠金融低值区的影响效应大于高值区的影响效应,两者间存在非线性关系,技术创新是影响农业净碳汇效率的重要作用渠道。数字普惠金融与农业净碳汇效率的影响作用存在时间段差异,现阶段的正向促进作用明显高于2016年之前。经济发展低水平地区的数字普惠金融影响效应高于经济发展高水平地区。本文提出,加强数字金融服务,促进数字普惠金融在农业领域的推广;缩小区域发展差异,实施异质性治理策略适度规范数字金融监管;通过财政补贴等方式鼓励农民和农业企业采用低碳农业技术和管理方法,提高净碳汇效率等建议。
关键词(KeyWords): 数字普惠金融;农业净碳汇效率;技术创新;面板门槛模型
基金项目(Foundation): 安徽省高校科研计划重大项目“劳动力流动对城乡融合发展的影响研究”(项目编号:2022AH040085);; 安徽省新时代育人质量工程项目(研究生教育)“数字普惠金融对农业净碳汇效率的影响研究”(项目编号:2023xscx082)的资助
作者(Author): 钱力,张轲,宋俊秀
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- (1)研究期内GDP水平高于均值的地区有北京、天津、内蒙古、辽宁、上海、江苏、浙江、福建、山东、湖北、广东、重庆;研究期内GDP水平低于均值的地区有河北、山西、吉林、黑龙江、安徽、江西、河南、湖南、广西、海南、四川、贵州、云南、陕西、甘肃、青海、宁夏、新疆。