生态与农村环境学报 ›› 2019, Vol. 35 ›› Issue (7): 845-852.doi: 10.19741/j.issn.1673-4831.2018.0756

• 区域环境与发展 • 上一篇    下一篇

河北省县域农业绿色全要素生产率的空间特征

李欠男1,2, 李谷成1,2, 尹朝静3,4, 刘芳1,2   

  1. 1. 华中农业大学经济管理学院, 湖北 武汉 430070;
    2. 湖北农村发展研究中心, 湖北 武汉 430070;
    3. 西南大学农村经济与管理研究中心, 重庆 400715;
    4. 西南大学经济管理学院, 重庆 400715
  • 收稿日期:2018-11-18 出版日期:2019-07-25 发布日期:2019-07-22
  • 通讯作者: 李谷成 E-mail:lgcabc@mail.hzau.edu.cn
  • 作者简介:李欠男(1990-),女,河南新乡人,博士生,主要研究方向为农业技术经济。E-mail:1137169595@qq.com
  • 基金资助:

    国家自然科学基金(71873050,71473100);国家自然科学基金国际合作项目(NSFC-CGIAR71461010701);教育部人文社会科学研究项目(18XJC790018);中央高校基本科研业务费专项资金项目(SWU1909419);重庆市人文社科重点研究基地项目(18SKB033)

Spatial Characteristics of Agricultural Green Total Factor Productivity at County Level in Hebei Province

LI Qian-nan1,2, LI Gu-cheng1,2, YIN Chao-jing3,4, LIU Fang1,2   

  1. 1. Economics and Management College of Huazhong Agricultural University, Wuhan 430070, China;
    2. Center for Hubei Rural Development, Wuhan 430070, China;
    3. Research Centre of Rural Economics and Management, Southwest University, Chongqing 400715, China;
    4. College of Economics and Management, Southwest University, Chongqing 400715, China
  • Received:2018-11-18 Online:2019-07-25 Published:2019-07-22

摘要:

农业绿色全要素生产率的提升是生态文明建设的关键。以河北省142个县域作为研究对象,运用非径向非角度、基于松弛的(slacks-based measures,SBM)方向性距离函数和全局参比曼奎斯特卢恩伯格(global Malmquist-Luenberger,GML)生产率指数测算2000-2016年河北省县域农业绿色全要素生产率,并采用空间自相关方法分析河北省县域农业绿色全要素生产率的全局和局部空间特征。结果表明:(1)2000-2016年河北省县域农业绿色全要素生产率年均增长5.42%,主要依靠绿色前沿技术进步驱动,如考虑环境因素,或可实现农业"波特‘双赢’假说";(2)从地区分布来看,河北省县域农业绿色全要素生产率增长存在地区不平衡的现象,其中冀北地区增长水平高于全省平均水平,而冀中与冀南地区增长水平落后于全省平均水平;(3)河北省县域农业绿色全要素生产率增长存在显著空间相关性,但空间相关性呈减弱趋势;(4)河北省县域农业绿色全要素生产率增长呈明显地理集聚特征,热点区向冀中、冀东南地区扩张,冷点区由冀北"一翼"向冀北"两翼"转移。

关键词: 县域, 农业绿色全要素生产率(agricultural GTFP), GML指数, 空间自相关

Abstract:

The improvement of agricultural green total factor productivity (GTFP) is the key to the construction of ecological civilization. Taking 142 counties in Hebei Province as research objects, non-radial,non-angle,slacks-based measures (SBM) directional distance function and the global Malmquist-Luenberger (GML) index were used to measure agricultural GTFP at county level in Hebei Province from 2000 to 2016,and spatial autocorrelation methods were used to analyze the global and local spatial characteristics of agricultural GTFP in Hebei Province. Research results show that:In average,the agricultural GTFP increased by 5.42% annually from 2000 to 2016,which was mainly driven by the advancement of green technology. If environmental factors were considered,the agricultural "Porter ‘win-win’ hypothesis" may be realized. From the perspective of regional distribution,there was a regional unbalance in the growth of agricultural GTFP in Hebei Province. The growth level of Northern Hebei Province was higher than the average level of the province, while the growth levels of Central and Southern areas of Hebei Province were lower than the average level of the province. There was a significant spatial correlation between agricultural GTFP at county level in Hebei Province,but spatial correlation was weakening. The agricultural GTFP showed obvious geographical agglomeration characteristics in Hebei Province. The hot spot area expanded to Central and Southern areas of Hebei Province,and the cold spot area was transferred from the one wing to the two wings of Northern Hebei Province.

Key words: county level, agricultural green total factor productivity(GTFP), global Malmquist-Luenberger(GML)index, spatial autocorrelation

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