摘要
本文基于江苏、江西和陕西3个省892家种植类家庭农场的调查数据,使用Super-SBM模型构建绿色全要素生产率的微观分析框架,并采用Logit模型分析家庭农场加入合作社的影响因素。本文进一步运用倾向得分匹配法构建反事实假设,估算加入合作社对家庭农场绿色全要素生产率的平均处理效应,并基于回归调整方法验证家庭农场加入合作社影响绿色全要素生产率的作用机制。研究结果表明:家庭农场经营年限、劳动力规模对其加入合作社具有正向作用,家庭农场经营者务农经历、家庭农场注册商标与拥有高标准农田对其加入合作社具有负向作用。加入合作社后,家庭农场绿色全要素生产率显著提高。加入合作社对家庭农场绿色全要素生产率提高的作用路径,按贡献率大小依次为成本压力、收益激励、组织规范和绿色意识。从驱动因素看,经济机制相较于管理机制更能驱动家庭农场提升绿色全要素生产率。
Based on survey data collected from 892 planting-oriented family farms in Jiangsu,Jiangxi,and Shaanxi provinces,this paper constructs a micro-analysis framework of Green Total Factor Productivity(GTFP)using the Super-SBM model,and employs a Logit model to analyze the influencing factors of family farms joining cooperatives.The paper further applies the Propensity Score Matching(PSM)method to establish counterfactual hypotheses and estimate the Average Treatment Effect(ATE)of joining cooperatives on family farms’GTFP.Additionally,the paper utilizes regression methods to decompose the mechanism through which joining cooperatives enhances their GTFP.The findings are as follows.Operation year and labor scale positively impact the likelihood of family farms joining cooperatives,while the farm owner’s experience in agriculture,land standards,and registered trademarks exert a negative effect.After joining cooperatives,the GTFP of family farms significantly increased.Multiple paths through which joining cooperatives attribute to the improvement of family farms’GTFP ranked according to their respective contributions are as follows:cost pressure,profit incentive,organizational regulations,and environmental awareness.From the perspective of driving factors,economic mechanisms are more effective in driving family farms to enhance GTFP compared to management mechanisms.
作者
薛永基
薛艳金
张园圆
XUE Yongji;XUE Yanjin;ZHANG Yuanyuan
出处
《中国农村经济》
CSSCI
北大核心
2024年第2期67-89,共23页
Chinese Rural Economy
基金
国家社会科学基金后期资助重点项目“乡村产业与生态协同振兴:理论逻辑、动力机制与实践进路”(编号:23FGLA002)的资助。
关键词
合作社
绿色全要素生产率
家庭农场
倾向得分匹配法
Cooperatives
Green Total Factor Productivity
Family Farms
Propensity Score Matching
