地理科学进展 ›› 2006, Vol. 25 ›› Issue (6): 1-11.doi: 10.11820/dlkxjz.2006.06.001

• 资源与生态环境 •    下一篇

我国再生资源企业布局省际差异分析

刘闯1,2, 于伯华1,2, 刘向群3   

  1. 1. 北京师范大学资源学院, 北京100875|
    2. 中国科学院地理科学与资源研究所, 北京100101|
    3. 中国再生资源回收利用协会, 北京100801
  • 收稿日期:2006-10-01 修回日期:2006-11-01 出版日期:2006-11-25 发布日期:2006-11-25
  • 作者简介:刘闯(1948- ), 女, 山西太原生人, 理学博士, 研究员, 博士生导师.主要从事全球变化数据与信息和 世界资源研究.E- mail: lchuang@igsnrr.an.cn
  • 基金资助:

    国家自然科学基金会管理学部主任基金应急项目:《促进我国资源再生产业发展的政策研究》 ( 70641001).

Spatial Analysis on Differ ences of Recycling Enterpr ises Distr ibution Among China's Provinces

LIU Chuang1,2, YU Bohua1,2, LIU Xiangqun3   

  1. 1. Collage of Resources Science &|Technology|Beijing Normal University, Beijing 100875, China|
    2. Institute of Geographical Science and Natural Resources Research, CAS, Beijing 100101, China|
    3. The Resources Recycle and Reuse Society of China, Beijing 100801, China
  • Received:2006-10-01 Revised:2006-11-01 Online:2006-11-25 Published:2006-11-25

摘要:

资源再生利用是循环资源的重要组成部分, 是连接资源与环境两大系统的纽带, 对提高资 源利用效率、缓解我国经济发展过程中的资源压力, 减少环境污染、实现可持续发展具有重要意 义。从事资源再生利用的企业则是资源回收再利用过程中最有生命力的组成部分, 对社会的贡献 具有不可替代的作用。研究我国再生资源企业布局、空间分布特征将有助于发现我国在建设“资 源节约型、环境友好型”社会过程中存在的问题, 为及时调整国家相关战略和政策提供可靠依据。 鉴于国内尚没有完整的资源再回收利用统计数据, 本文在我国资源回收与再利用企业调查的基 础上, 设计并开发了包括23 512 个企业在内的我国再生资源企业地理信息系统数据库。为探讨 我国再生资源企业的空间格局及其区域差异的原因, 选取人口总量、城市化水平以及交通运输条 件等14 个因子, 利用逐步回归方法系统分析了影响再生资源企业布局的因素。结果显示, 我国再 生资源企业的空间分布具有从沿海向内地带状分布的规律, 这种规律与经济发达、交通便利、政 策适宜等因素关系密切。资源回收与再利用产业统计工作和空间布局总体规划工作是我国社会 经济中的薄弱环节, 笔者建议启动对我国资源回收与再利用产业大调查计划, 并建议国家统计部 门将我国资源回收与再利用产业纳入到国家常年统计计划; 加强对我国资源回收与再利用产业 空间布局的规划, 及时出台相关的管理和扶持政策并加强标准和监管系统建设, 以减小产生负面 作用的风险。

关键词: 空间布局, 企业, 中国省际差异, 资源回收与再利用

Abstract:

Reduce- recycle- reuse becomes more active in China in natural resource development and uses. With the high pressure on natural resources in China's socio- economic development, 3R industry experiences a new milestone during the last ten years. By the end of 2005, 23 512 enterprises are engaged in the 3R industry in China. In order to find the differences of the 3R industry development among the provinces in China, a statistic methodology with 14 socio- economic indicators linked with the 3R Industry GIS Database of China has been applied in the analysis of 3R industry in China's provinces. Guangdong province is at the top level in 3R industry development in China, which has 4 996 enterprises. Jiangsu(2 267), Zhejiang (2 259) and Shandong(2 217) provinces run the second level 7 provinces, Hebei, Shanghai, Fujian, Liaoning, Hubei, Hunan and Henan, run the third level, with the number of the enterprises in each province ranging from 600 ~2000. The provinces of Tianjin, Beijing, Sichuan, Anhui, Jiangxi, Helongjiang, Guanxi, Shanxi, Chongqing, Jilin and Hong Kong run the fourth level, with the number of the enterprises in each ranging 200~600. And other provinces are lower than 200. The spatial pattern of the 3R industry in China is that it declines from eastern to western in the terms of changes in population, economic development and the local policies. Based on the analysis above, recommendations have been provided in this paper, including: (1) the official statistics agency of China should pay more attention to the statistics in the 3R industry development in China, and as a more practical action, a survey on 3R industry census in China is necessary; (2) The national guidance and management policy for 3R development and spatial distribution should be made available; and (3) the standards for 3R industry development and the 3R industry monitoring systems in the national level should be established as soon as possible.

Key words: China, enterprise, reduce- recycle- reuse, resources, spatial analysis

中图分类号: 

  • X705