地理科学 ›› 2016, Vol. 36 ›› Issue (9): 1310-1319.doi: 10.13249/j.cnki.sgs.2016.09.004

• • 上一篇    下一篇

东北地区产业发展与工业SO2排放的时空耦合效应

马丽1,2,3(), 张博2,3, 杨宇1,2,3   

  1. 1. 中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
    2. 中国科学院地理科学与资源研究所,北京 100101
    3. 中国科学院大学,北京 100049
  • 收稿日期:2016-05-23 修回日期:2016-09-09 出版日期:2016-09-20 发布日期:2016-09-20
  • 作者简介:

    作者简介:马丽(1975-),女,山西祁县人,副研究员,博士,主要从事经济地理与区域可持续发展、能源发展与环境影响研究。E-mail:mali@igsnrr.ac.cn

  • 基金资助:
    国家自然科学基金项目(71541020,41371142,41430636)资助

The Spatio-temporal Coupling Relationship Between Industrial Development with SO2 Emission of Northeast China

Li Ma1,2,3(), Bo Zhang2,3, Yu Yang1,2,3   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling of the Chinese Academy of Sciences,Beijing 100101,China
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101,China
    3. University of Chinese Academy of Science, Beijing 100049, China
  • Received:2016-05-23 Revised:2016-09-09 Online:2016-09-20 Published:2016-09-20
  • Supported by:
    National Nature Sciences Foundation of China (71541020,41371142,41430636).

摘要:

以工业SO2为对象,以东北地级市( 本文“地级市”包括东北三省内的哈尔滨、长春、沈阳、大连4个副省级城市。)为研究单元,运用脱钩指数分析了工业产值变化与SO2排放规模变化的动态耦合关系及空间格局,并利用LMDI因素分解法对各地市工业SO2排放变化从规模增长、结构转型和技术升级3方面进行解析。研究发现,在东北地区产业发展过程中,工业产值规模的增长对工业SO2排放增长呈现正向驱动;而工业技术的进步和节能减排措施的使用促进了工业SO2排放的降低,而产业结构的作用因区域而异。在环渤海湾地区以及辽源、松原、鹤岗、伊春、七台河、绥化等以木材加工和煤电为核心产业发展的城市,能源基础原材料产业比重的上升促进了地区工业SO2排放的增加。最后根据不同地市工业SO2减排的主要驱动因素和限制因素,针对性的分类型、分区域提出促进东北地区产业绿色转型的政策建议。

关键词: 产业发展, 工业SO2排放, 脱钩, 因素分解

Abstract:

In order to find the impact of industrial transformation on the industrial pollution discharge and its spatial pattern, this article analyzes the dynamic coupling relationship between industrial growth and SO2 emission with the index of decoupling coefficients with industrial SO2 as the object and prefecture level city of as the unit. It was found that the industrial outputs of cities in Northeast China have really increased while its industrial SO2 emission decreased in 2005-2013. So, the revitalization of old industrial base in Northeast China could be seen as “green revitalization”. Then, the LMDI model was used to divide the decoupling coefficients into scale, industrial structure and technology upgrading effect. This article found that the scale effect expressed as growth of industrial output value has a positive driving impact on the growth of industrial SO2 emissions; industrial technology progress promotes the industrial SO2 emission reduction, and industrial structure's role varies from city to city. Mostly, the higher technology effect is concentrated in special industrial cities in the peripheral of mega city region while scale effect is concentrated in core mega city and coastal cities in Liaoning Province. Industrial transformation of Shenyang metropolitan area is significant and effective, where the development of equipment manufacture sector and decrease of ratio of high SO2-load sectors in total output had led into the reducing of SO2 emission. On the other side, in the cities around Bohai Sea of Liaoning Province and cities with wood processing and basic energy and raw material industries as regional pillar industry in Jilin and Heilongjiang provinces, the rising of ratio of energy and basic material sector to total industrial output has led to the growth of industrial SO2 emission. Finally, according to the main driving factors and limiting factors of SO2 emission reduction in different cities, this article puts forward policy recommendations to promote the green transformation in Northeast China.

Key words: industrial development, SO2 emission, decoupling relationship, LMDI model

中图分类号: 

  • F062.4