| 254 | 1 | 667 |
| 下载次数 | 被引频次 | 阅读次数 |
新疆是我国重要的小麦生产优势区,小麦成本收益对农民种植的积极性和保障新疆粮食安全非常重要,进行小麦全要素生产率评价对提高小麦生产效率具有重要的意义。基于2007—2023年我国及12个小麦主产省份的成本收益数据,运用SBM(Slack-Based Measure)模型对小麦综合效率进行探究,从纯技术效率、规模效率和纯技术变动3个维度剖析,得出新疆相较于全国小麦主产省份的综合效率对比结果。研究发现:1)新疆小麦投入产出综合效率达到0.989,低于全国平均水平,在12个主产省份中排名第9位,处于较低水平,且17年间只有8个年份综合效率达到最优;2)技术进步因素是促进新疆小麦综合效率的主要动力,纯技术效率达到1.017,高于全国平均水平,且仅低于山西、陕西、内蒙古、河北4个小麦主产省份水平;3)规模效率为0.971,低于全国平均水平,且仅高于山东、河北、内蒙古3个主产省份水平。要强化小麦新品种培育、合理密植、水肥一体化、精准调控技术的研发和应用,科学合理确定小麦种植面积,优化布局,提高规模效率。
Abstract:Xinjiang is the important wheat production advantage area in China, and the cost-benefit of wheat is very important to farmers' enthusiasm for planting and ensuring food security in Xinjiang. The evaluation of wheat total factor productivity is of great significance to improve wheat production efficiency. Based on the cost-benefit data of China and 12 major wheat production provinces from 2007 to 2023, the study explores the comprehensive efficiency of wheat by SBM(Slack-Based Measure) model. From three dimensions of pure technology efficiency, scale efficiency and pure technology change, the comprehensive efficiency comparison results of Xinjiang compared with the main wheat producing provinces in China were obtained. The results show that:(1) The input-output comprehensive efficiency of Xinjiang wheat reaches 0.989, which is lower than the national average level and ranks 9th among the 12 major production provinces, at a relatively low level, and the comprehensive efficiency has reached the best in only eight years in 17 years.(2) The technological progress is the main driving force for promoting the comprehensive efficiency of wheat in Xinjiang. The pure technical efficiency reaches 1.017, which is higher than the national average, and only lower than the level of the four major wheat production provinces of Shanxi, Shaanxi, Inner Mongolia and Hebei.(3) The scale efficiency is 0.971, which is below the national average level, and higher than the level of the three main production provinces of Shandong, Hebei and Inner Mongolia. It is necessary to strengthen the research and development and application of new wheat varieties cultivation, reasonable dense planting, integration of water and fertilizer, and precision control technology, determine the wheat planting area scientifically and rationally, optimize the layout, and improve the scale efficiency.
[1]张嘉瑶,贾强.基于DEA-Malmquist指数模型的中国五个产粮大省粮食生产效率分析[J].中南农业科技,2024,45(3):156-161.
[2]孙晓宇,鹿永华.基于DEA-Malmquist模型的中国小麦生产效率分析[J].湖北农业科学,2022,61(3):173-179.
[3]袁青青,韩一军.我国小麦全要素生产率的评价分析:基于DEA-Malmquist指数方法[J].中国农业文摘-农业工程,2018,30(4):19-24.
[4]郭云超,蒋志辉.粮食安全背景下河南小麦生产效率实证研究:基于DEA-Tobit模型实证分析[J].中国市场,2022(11):71-73.
[5]高颖,王兆华.基于三阶段DEA模型的山东省粮食生产效率研究[J].湖北农业科学,2022,61(17):39-44,52.
[6]李辉尚,胡晨沛,曲春红.中国小麦主产区生产效率时空演变特征分析[J].中国农业资源与区划,2018,39(10):91-99.
[7]王硕.三权分置政策对我国小麦全要素生产率的影响研究[J].生产力研究,2021(11):60-65.
[8]薛信阳,韩一军,高颖.农机社会化服务对粮食生产技术效率的影响:基于四省小麦和玉米种植户的调查[J].农村经济,2024(1):10-19.
[9]曲朦,赵凯,周升强.耕地流转对小麦生产效率的影响:基于农户生计分化的调节效应分析[J].资源科学,2019,41(10):1911-1922.
[10]陈杨洋.空间溢出视角下农业产业集聚对小麦生产效率的影响[J].聊城大学学报(社会科学版),2023(6):79-86.
[11]张宸熙,商燕,奥布力·塔力普.基于DEA-Malmquist方法的新疆与全国小麦主产区生产效率动态比较研究[J].粮油食品科技,2024,32(4):227-234.
[12]郎新婷,马惠兰.新疆小麦生产效率及地区差异研究[J].中国农业资源与区划,2016,37(10):127-133.
[13]郎新婷.新疆粮食生产效率及影响因素研究[D].乌鲁木齐:新疆农业大学,2016:26-27.
[14]TONE K.A slacks-based measure of efficiency in data envelopment analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[15]程开明,李泗娥.全要素生产率指数:演变、比较及展望[J].统计学报,2022,3(1):11-26.
[16]PITTMAN R W.Multilateral productivity comparisons with undesirable outputs[J].The Economic Journal,1983,93 (372):883-891.
[17]CHUNG Y H,F?RE R,GROSSKOPF S.Productivity and undesirable outputs:a directional distance function approach[J].Journal of Environmental Management,1997,51(3):229-240.··
基本信息:
DOI:10.14069/j.cnki.32-1769/s.2025.02.001
中图分类号:S512.1;F326.11
引用信息:
[1]田聪华,李豪鑫.基于SBM模型的新疆小麦全要素生产率评价[J].大麦与谷类科学,2025,42(02):1-7.DOI:10.14069/j.cnki.32-1769/s.2025.02.001.
基金信息:
新疆维吾尔自治区小麦产业技术体系(XJARS-01); 新疆维吾尔自治区自然科学基金(2022D01A263)
2025-03-13
2025-03-13
2025-03-13