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干旱区地理 ›› 2016, Vol. 39 ›› Issue (4): 895-902.

• 区域发展 • 上一篇    下一篇

新疆县域工业生产率时空演化特征研究

徐妍   

  1. 新疆师范大学商学院, 新疆 乌鲁木齐 830017
  • 收稿日期:2016-01-25 修回日期:2016-04-10 出版日期:2016-07-25
  • 作者简介:徐妍(1983-),女,讲师,经济学博士,主要研究方向为区域经济、产业经济.Email:xuy122@163.com
  • 基金资助:

    国家社科基金青年项目(11CMZ006);新疆师范大学博士科研启动基金项目(XJNUBS1309)

Spatial-temporal evolvement characteristics of county-level industrial productivity in Xinjiang

XU Yan   

  1. Business School, Xinjiang Normal University, Urumqi 830017, Xinjiang, China
  • Received:2016-01-25 Revised:2016-04-10 Online:2016-07-25

摘要: 通过DEA和ESDA方法,研究1998年以来新疆县域工业生产率的时空演化特征。结果表明:新疆县域工业生产率呈现稳步增长,主要由纯技术效率和规模效率的提升推动,但技术进步的增长贡献不足。相对于北疆而言,东疆和南疆的县域工业生产率呈现追赶式增长,三大地区间的效率差异在平均意义上表现出缩小趋势。工业生产率增长的县(市)主要集中于天山北坡经济带,2007年以后不断向北疆北部、东疆及南疆北部和西南部扩散,致使东北-西南方向上新疆县域工业发展的异质性较弱。新疆县域工业生产率布局存在显著的空间正相关性,但集聚水平较低且具有一定的波动性,2011年以后表现出微弱的空间分散趋势。热点区的数量相对稳定但空间分布却由连续型集聚向离散型集聚转变,大致形成一条沿东北-西南方向的高生产率“带状”区域,冷点区的数量明显减少且零散分布于南疆贫困地区和北疆沿边高寒地区。由于各县(市)工业生产率的普遍增长,新疆工业经济发展的空间非均衡性有所减弱。

关键词: 县域工业, 全要素生产率, Malmquist指数, 探索性空间数据分析, 空间相关性

Abstract: This paper described the spatial-temporal evolvement characteristics of industrial productivity in Xinjiang, China at the county level by using the DEA and the ESDA. Based on panel data from 1998 to 2014,some conclusions are drawn as follows:(1) on average,the county-level industrial productivity of Xinjiang maintained steady growth,promoted by the common improvement of pure technical efficiency and scale efficiency,while the contribution share of technological change to the productivity growth was small;(2) the county-level average industrial productivity of Eastern Xinjiang,as well as that of Southern Xinjiang,showed catch-up growth when compared with Northern Xinjiang,implying that on average,the disparities in the county-level industrial productivity between the above three regions had lessened;(3) the counties of which the industrial productivity had improved, mainly distributed in the Belt on the Northern Slope of the Tianshan Mountains,and gradually converged in the north part of Northern Xinjiang,Eastern Xinjiang and the north and the southwest parts of Southern Xinjiang after 2007;at this point,the heterogeneity of the county-level industrial development in the NE-SW direction is not significant;(4) considering the overall spatial economic framework,the county-level industrial productivity of Xinjiang showed a statistically significant trend of spatial self-correlation,but the agglomeration level was low and existed fluctuation within a narrow range;the spatial structure of hotspot distribution has even shown a faint trend of spatial dispersion after 2011.(5) the number of hotspots remained relatively constant,while the agglomeration of hotspot location tended to vary from spatial continuity pattern to spatial discretization one,approximately forming a zonal region including those counties with higher industrial productivity in the NE-SW direction; the amount of cold spots has obviously decreased,and the corresponding counties were scattered in the poverty-stricken areas of Southern Xinjiang and the border and alpine area of Northern Xinjiang. There exists general growth among all of the counties of Xinjiang;as a result,the spatial heterogeneity of the county-level industry development has weakened.

Key words: county industry, total factor productivity, Malmquist index, exploratory spatial data analysis, spatial autocorrelation

中图分类号: 

  • F424.1