地理学报 ›› 2010, Vol. 65 ›› Issue (8): 919-928.doi: 10.11821/xb201008003

• 区域产业发展 • 上一篇    下一篇

江苏省能源效率空间分异特征与成因分析

赵媛, 郝丽莎, 杨足膺   

  1. 南京师范大学地理科学学院,南京210046
  • 收稿日期:2009-08-30 修回日期:2010-05-18 出版日期:2010-08-20 发布日期:2010-08-20
  • 作者简介:赵媛(1963-), 女, 汉族, 江苏南京人, 教授, 博士, 博士生导师, 中国地理学会会员(S110002382M)。主要从事能源经济与区域可持续发展研究。E-mail: zhaoyuan@njnu.edu.cn
  • 基金资助:

    南京师范大学“211 工程”三期重点学科建设项目(区域发展中的空间结构、资源约束和环境效应);江苏省社会科学基金项目(06JSBYJ016)

Regional Differentiation of Energy Efficiency and Its Causes in Jiangsu

ZHAO Yuan, HAO Lisha, YANG Zuying   

  1. School of Geographical Science, Nanjing Normal University, Nanjing 210046, China
  • Received:2009-08-30 Revised:2010-05-18 Published:2010-08-20 Online:2010-08-20
  • Supported by:

    3rd Key Discipline Development Item of "Project 211" of Nanjing Normal University (Spatial structure, resource constraint and environmental effect in regional development; Jiangsu Social Science Foundation Project(06JSBYJ016)

摘要:

提高能源效率是江苏省突破能源困局的重要途径。文章采用数据包络分析法(Data Envelopment Analysis, DEA),在全要素生产力分析框架下,测度2007 年江苏省各地级市能源利用的综合效率、技术效率和规模效率,分析3 类能源效率的空间分异特征,并根据3 类能源效率的关联关系划分能源效率的地域类型;进而采用变异系数(CV)、单位GDP能耗和大中型 企业集中指数(CI) 等指标,结合各地级市的产业结构特征,分析江苏省能源效率地域分异成因;最后,根据DEA模型的投入产出优化目标值(Targets),探讨提高各地级市能源效率的对策措施。研究结果表明:① 江苏省能源效率总体上呈南高北低、东西分化的分布特征,并存 在轻工业型和重工业型两大“DEA有效”极核;② 能源规模效率是制约江苏省能源综合效率的主要方面;③ 单位GDP能耗可以集中反映区域能源技术效率水平,大中型企业集中指数可以集中反映区域能源规模效率水平;④ 高耗能产业比重高的区域其能源技术效率相对较低, 居于经济区过渡地带或边缘区位的区域其能源规模效率相对较低;⑤ 全省普遍存在生产要素投入冗余现象,可通过优化投资环境、产业结构高级化、突出特色产业、提升产业技术、提高劳动力素质及提高产业集中程度等途径来提高区域的能源利用效率。

关键词: 能源效率, DEA, 空间差异, 地域类型, 成因, 江苏

Abstract:

Improving energy efficiency is an essential way for Jiangsu to break out energy predicament. This paper adopts DEA model to measure the CRS technical efficiency, pure technical efficiency and scale efficiency of energy utilization of 13 cities in Jiangsu in the year of 2007, under the framework of total factors productivity analysis. Then, this paper analyzes the regional differentiation and the spatial pattern of the CRS technical efficiency, pure technical efficiency and scale efficiency of energy utilization in Jiangsu, and divides 13 cities into 4 regional types of energy efficiency according to the incidence relation of these three types of energy efficiency. The causes of energy efficiency differentiation in Jiangsu are analyzed with coefficient of variation (CV), energy consumption per unit GDP and the large-and-medium-size enterprises concentration index, as well as the characteristics of industrial structure of each city.Finally, target values of input/output obtained through DEA model are used to discuss the strategies for promoting energy efficiency of each city. The results show that, the spatial distribution of energy efficiency in Jiangsu is characterized by high-value in the south and low-value in the north, as well as west-east differentiation, and that there is a light manufacturing DEA effectiveness pole in North Jiangsu and a heavy manufacturing DEA effectiveness pole in South Jiangsu respectively. It is scale energy efficiency that mainly determines the CRS technical efficiency as well as its spatial patterns in Jiangsu. Energy consumption per unit GDP could be a general indicator to reflect regional pure technical energy efficiency, and the large- and medium-sized enterprises concentration index could be a general indicator to reflect regional scale energy efficiency. The pure technical energy efficiency of cities with high proportion of heavy manufacturing is relatively low, and the scale energy efficiency of cities lying in the transition zones or the edge areas is also relatively low; input redundancy is relatively ubiquity in Jiangsu, and regional energy efficiency could be promoted by the approach of optimizing investment environment, advancing industrial structure adjustment, highlighting the unique feature of industrial development, promoting the quality of human resources or increasing the concentration degree of industrial development, and so on.

Key words: energy efficiency, DEA, regional differentiation, regional types, causes, Jiangsu