商业研究

商业研究

• 三农经济 • 上一篇    下一篇

我国土地要素产出空间关联网络特征及其效应研究

谭灵芝1,2   

  1. (1.重庆工商大学 人口发展与政策研究中心，重庆 400067； 2.中国人民大学 环境学院，北京 100872)
  • 收稿日期:2018-02-15 出版日期:2018-06-26
  • 作者简介:谭灵芝（1976-），女，乌鲁木齐人，重庆工商大学人口发展与政策研究中心副研究员，中国人民大学环境学院兼职导师，研究方向：人口、资源与环境经济学。
  • 基金资助:
    国家自然科学基金项目，项目编号：71272133；教育部人文社会科学研究规划基金项目，项目编号：17YJA630006。

The Characteristics and Its Impactions of Spatial Network Correlation Features of Land Element Output in China

TAN Ling-zhi1,2   

  1. (1.Centre for Population Development and Policy Research of Chongqing Technology & Business University, Chongqing 400067,China;2 School of Environment of the Renmin University, Beijing 100872,China）
  • Received:2018-02-15 Online:2018-06-26

摘要： 目前，土地要素对我国经济增长的空间关联更多地表现为非线性空间网络结构。基于我国30省市2005、2010和2015年省级土地要素弹性数据，本文利用社会网络分析（SNA）解析我国土地要素弹性的网络特征及其空间效应，并对我国不同省份经济空间地位进行对比分析。研究结果：从整体而言，土地要素投入空间关联紧密度逐渐增加、网络等级水平逐步降低，部分区域间经济均衡性在增强；高中心度主要集中在东部地区和部分中部省份，对其他省份产生了较强的空间溢出效应；整体网络结构和个体网络结构对土地要素贡献率变动有显著影响，并有助于区域均衡发展。因此，制定土地政策必须深刻认清我国土地投入的空间网络关系和网络特征，高度重视不同区域间的土地要素的空间联系，通过产业转移、资金、技术等的流动提高土地级差收益和土地贡献率，促进区域间各种社会经济资源的流动和空间优化配置，全面提高土地产出弹性和贡献率。

关键词: 土地要素弹性, 空间关联网络特征, 社会网络分析, 省际差异

Abstract: At present, the spatial correlation of land elements to China′s economic growth shows more nonlinear spatial network structure. Based on the provincial land output elastic data in 30 provinces and cities in 2005, 2010 and 2015, the paper uses the social network analysis(SNA) to analyze the network characteristics and space effect of the land output elasticity, and carries out comparative analysis of the economic spatial status of different provinces in China. The results show that in the whole, the spatial correlation of land input is gradually increasing, the network level is improving, and the regional economic equilibrium is increasing in some regions; the high centrality mainly focuses on the eastern region and some central provinces, and has a strong spatial spillover effect on other provinces; the overall network structure and individual network structure have a significant impact on the contribution rate of land elements, and contribute to balanced regional development. Therefore, the formulation of land policy must clearly recognize the spatial network relations and network characteristics of land input in China, attach great importance to the spatial relation of land elements among different regions, and improve the income of land differential and land through the flow of industrial transfer, capital and technology, and promote the flow and spatial optimization of various social and economic resources among different regions, to comprehensively enhance the elasticity and contribution rate of land output.

Key words: land element elasticity, spatial network correlation features;Social Network Analysis(SNA);provincial differences