文章摘要
基于DEA—ESDA模型的中国马铃薯生产效率时空特征分析
Spatiotemporal characteristics analysis of the potato production efficiency in China based on the DEA-ESDA model
投稿时间:2020-07-19  修订日期:2020-09-17
DOI:10.13872/j.1000-0275.2020.0085
中文关键词: 生产效率  马铃薯  DEA模型  Malmquist指数  ESDA方法  时空特征
英文关键词: production efficiency  potato  DEA model  Malmquist index  ESDA method  spatiotemporal characteristics
基金项目:国家马铃薯产业技术体系项目(CARS-9)
作者单位E-mail
鲁洪威 中国农业科学院农业资源与农业区划研究所 1406697374@qq.com 
李婷婷 中国农业科学院农业资源与农业区划研究所 2303129934@qq.com 
罗其友 中国农业科学院农业资源与农业区划研究所 luoqiyou@caas.cn 
高明杰 中国农业科学院农业资源与农业区划研究所 gaomingjie@caas.cn 
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中文摘要:
      基于2011—2018年我国马铃薯主产省投入产出数据,运用DEA—Malmquist指数模型和探索性空间数据分析(ESDA)方法,定量研究了我国马铃薯生产效率的时空变化特征。结果表明:1)2011年到2018年我国马铃薯生产综合技术效率、纯技术效率和规模效率均值皆为DEA非有效,综合技术效率主要受投入要素规模效率的制约;2)研究区域仅内蒙古、山东、辽宁、湖北和四川全要素生产率处于正增长,其余省份均处于下降状态,技术进步是我国马铃薯全要素生产率提升的最大障碍;3)我国马铃薯整体资源利用效率空间差异性明显,在四大优势区中,西南优势区综合技术效率最高,华北优势区和西北优势区纯技术效率较高,东北优势区和西南优势区规模效率较高;4)我国马铃薯生产综合技术效率具有显著空间正相关性,呈“H—H”集聚的内蒙古自治区、陕西省、甘肃省和四川省对区域生产效率具有较强的辐射带动能力。下一步应着重优化我国马铃薯生产投入要素结构,破解综合技术效率提升瓶颈,并针对马铃薯不同区域生产效率特点制定马铃薯生产效率提升政策,进一步发挥优势省份效率提升扩撒效应。
英文摘要:
      Based on the input-output data of China’s main potato producing provinces from 2011 to 2018, and applying the DEA-Malmquist index model and the exploratory spatial data analysis (ESDA) method, this paper quantitatively studied the temporal and spatial characteristics of the potato production efficiency in China. Results show that: 1) the comprehensive technical efficiency, the pure technical efficiency and the scale efficiency of China’s potato production from 2011 to 2018 were all DEA ineffective, and the comprehensive technical efficiency was mainly restricted by the scale efficiency of input factors; 2) among all the study provinces, only the total factor productivities of Inner Mongolia, Shandong, Liaoning, Hubei, and Sichuan were growing positively, while the total factor productivities of the rest of the provinces were declining. Technological progress was the biggest obstacle to the increase of the total factor productivity of China’s potato production; 3) among these main potato producing regions, the southwest advantage area had the highest comprehensive technical efficiency, the north China advantage area and the northwest advantage area had higher pure technical efficiency, and the northeast advantage area and the southwest advantage area had higher scale efficiency; and 4) the comprehensive technical efficiency of potato production in China had significant positive spatial correlations among Inner Mongolia Autonomous Region, Shaanxi Province, Gansu Province and Sichuan Province, which were clustered in the form of “H-H” with strong radiating and driving capacity for regional production efficiency. The next step should focus on optimizing the structure of China’s potato production input factors, breaking the bottleneck of comprehensive technical efficiency improvement, and formulating potato production efficiency improvement policies based on the characteristics of potato production efficiency in different regions, and further exerting the efficiency of advantageous provinces to improve the spread effects.
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