• 首页 | 主办单位 | 期刊简介 | 编委会 | 作者指南 | 刊物订阅 | 下载中心 | 联系我们 | English | 期刊界
引用本文:方国柱,祁春节,雷权勇.我国柑橘全要素生产率测算与区域差异分析*——基于DEA-Malmquist指数法[J].中国农业资源与区划,2019,40(3):29~34
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 31次   下载 24 本文二维码信息
码上扫一扫!
分享到: 微信 更多
我国柑橘全要素生产率测算与区域差异分析*——基于DEA-Malmquist指数法
方国柱, 祁春节, 雷权勇
华中农业大学经济管理学院,湖北武汉430070
摘要:
[目的]在我国柑橘产业蓬勃发展背景下,存在耕地规模狭小和劳动资源匮乏的双重瓶颈,研究试图从全要素生产率视角探究柑橘产业可持续健康发展的路径。[方法]基于2011—2016年我国柑橘生产的面板数据,文章运用DEA-Malmquist指数法测算了柑橘全要素生产率,分析了我国柑橘全要素生产率的动态演进特点,比较了柑橘、柑和橘全要素生产率的区域差异。[结果](1)从整体趋势看, 2011年以来我国柑橘全要素生产率呈下降趋势,但年际间波动较小。考察期间内,柑橘、柑和橘的平均全要素生产率增长率分别为26%、20%和23%。(2)从影响因素看,技术进步是影响柑橘产业全要素生产率的主要因素,纯技术效率和规模效率是影响全要素生产率的重要因素。(3)从区域差异看,科技进步为福建、广东等省份柑橘产业的生产效率的提升发挥了重要作用,但经营规模过小阻碍了其生产效率的进一步提高,其增长优势明显劣于江西、湖南两省。(4)从品种分类看,多数省份橘的技术进步指数和规模效率指数均高于柑,柑的全要素生产率增长相对较差,仅在部分省份优势明显。[结论]推进柑橘科技创新,引导适度规模经营,培育新型农业经营主体,因地制宜实施柑橘产业支持政策是促进我国柑橘全要素生产率增长有效途径。
关键词:  柑橘DEA模型全要素生产率时序变化区域差异
DOI:
分类号:F3233
基金项目:中央财政科技计划专项“国家现代农业(柑橘)产业技术体系(MATS)”(CARS-26-08B); 农业农村部农业财政项目“促进园艺产业高质量发展路径分析”(101821301124031003)
CALCULATION OF TOTAL FACTOR PRODUCTIVITY OF CITRUS IN CHINA AND THE DIFFERENCE OF REGION*——BASED ON THE DEA MALMQUIST INDEX METHOD
Fang Guozhu, Qi Chunqie, Lei Quanyong
College of Economics and Management,Huazhong Agriculture University, Wuhan,Hubei 430070,China
Abstract:
Under the background of vigorous development of citrus industry in China, there is a double bottleneck, namely small scale of cultivated land and lack of labor resources. This study attempts to explore the sustainable and healthy development path of citrus industry from the perspective of total factor productivity. Based on the panel data of citrus production in China from 2011 to 2016, this study used the DEA Malmquist index method to measure total factor productivity of citrus , analyzed the dynamic evolution characteristics of citrus′ TFP, and compared the regional differences of total factor productivity of citrus,mandarin and tangerine. The results show that (1) From the overall trend, the total factor productivity of citrus in China has shown a downward trend since 2011, but the inter annual fluctuation is small. During the period of investigation, the average TFP growth rates of citrus, mandarin and orange are 2.6%, 2.0% and 2.3%, respectively. (2) From the impact of factors, technological progress is the main factors that affecting the growth of citrus′ TFP in China, pure technical efficiency and scale efficiency are important influencing factors of the total factor productivity. (3) From the regional differences, the technological progress plays an important role in improving the production efficiency of citrus industry in Fujian,Guangdong and other provinces, but the small scale of operation hinders the further improvement of production efficiency. And its growth advantage is obviously inferior to that of Jiangxi,Hunan province. (4) From the classification of citrus varieties, the technological improvement index and scale efficiency index of orange in most provinces are higher than that of mandarin, while the growth of total factor productivity of mandarin is relatively weak, which is only obvious in few provinces. It is an effective way to promote the total factor productivity growth of citrus in China by promoting the innovation of citrus science and technology, guiding moderate scale operation, cultivating new agricultural business entities and implementing citrus support policies according to local conditions.
Key words:  citrus  DEA model  total factor productivity  sequential variation  regional differences
版权所有:  您是本站第    位访问者
主管单位:中华人民共和国农业部 主办单位:中国农业科学院农业资源与农业区划研究所 地址:北京市中关村南大街12号
电话:010-82109647 82108697 电子邮件:quhuabjb@caas.cn
技术支持:北京勤云科技发展有限公司  京ICP备11039015号