资源科学 ›› 2021, Vol. 43 ›› Issue (9): 1752-1763.doi: 10.18402/resci.2021.09.04

• 资源经济 • 上一篇    下一篇

信息化对中国能源强度的空间效应——基于空间杜宾误差模型

汪小英1(), 王宜龙1, 沈镭2(), 李小漫1, 杜强涛1   

  1. 1.中国地质大学(武汉)经济管理学院,武汉 430074
    2.中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2020-11-28 修回日期:2021-08-22 出版日期:2021-09-25 发布日期:2021-11-25
  • 通讯作者: 沈镭,男,湖北麻城人,研究员,博士生导师,研究方向为能源安全、资源经济、环境与管理、资源法律与政策、资源型城市及区域可持续发展。E-mail: shenl@igsnrr.ac.cn
  • 作者简介:汪小英,女,江西井冈山人,博士后,副教授,研究方向为资源环境经济、能源战略和政策。E-mail: 924292540@qq.com
  • 基金资助:
    中国科学院战略性先导科技专项(A类)(XDA19040102);国家自然科学基金项目(41771566);中国地质调查局项目(DD20211413)

Spatial effect of informatization on China’s energy intensity:Based on spatial Durbin error model

WANG Xiaoying1(), WANG Yilong1, SHEN Lei2(), LI Xiaoman1, Du Qiangtao1   

  1. 1. School of Economics and Management, China University of Geosciences (Wuhan), Wuhan 430074, China
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2020-11-28 Revised:2021-08-22 Online:2021-09-25 Published:2021-11-25

摘要:

信息化的外部性导致技术溢出,促使信息化对能源强度产生空间效应。本文利用2006—2017年中国省级面板数据,运用空间杜宾误差模型并基于区域发展的空间分异性与空间自相关性,研究信息化对能源强度的影响大小以及不同区域间的空间效应,测度了中国30个省(市、区)的能源强度和信息化水平,揭示了信息化水平对能源强度的空间效应机制。结果表明:①信息化水平和能源强度地区空间集聚现象十分显著,中国30个省(市、区)之间相邻地区呈现出相似聚集的分布情况;②信息化水平、城镇化和能源消费结构对地区能源强度均具有显著的负向影响,但产业结构对能源强度的影响并不显著;③信息化对能源强度的影响呈现出显著的空间溢出效应,某一地区的相邻地区信息化水平提升会促进该地区能源强度的降低,相邻地区信息化水平每变动1%,空间效应使得本地区能源强度朝着相反的方向变动1.396%。建议各地区重视信息化水平在降低地区能源强度的作用;构建信息化发展推动能源强度降低的政策体系;加强区域间的协同合作与共同发展;统筹推进信息化建设与地区间合作交流;优化能源消费结构。

关键词: 能源强度, 信息化, 空间效应, 空间杜宾误差模型, 莫兰指数

Abstract:

The externality of informatization leads to technology spillover and promotes the spatial effect of informatization on energy intensity. Based on the spatial differentiation and spatial autocorrelation of regional development, this paper studies the influence of informatization on energy intensity and the spatial effect among different regions, using the provincial panel data of China from 2006 to 2017 and the spatial Dubin error model. This paper measures the energy intensity and informatization level of 30 provinces in China, and reveals the spatial effect mechanism of informatization level on energy intensity. The results show that: (1) The spatial agglomeration phenomenon of informatization level and energy intensity is very significant, and the adjacent areas of 30 provinces (cities and districts) in China show similar agglomeration distribution; (2) Informatization level, urbanization and energy consumption structure have significant negative impacts on regional energy intensity, but industrial structure has no significant impact on regional energy intensity. (3) The effect of informatization on energy intensity shows a significant spatial spillover effect. The improvement of informatization level in neighboring areas of a certain region will promote the decrease of energy intensity in the region. For every 1% change of informatization level in neighboring areas, the spatial effect will make the regional energy intensity change in the opposite direction by 1.396%. It is suggested that all regions should pay attention to the role of informatization level in reducing regional energy intensity. To build a policy system that information-based development promotes the reduction of energy intensity; Strengthen regional cooperation and common development; Promote informatization construction and inter-regional cooperation and exchanges; We will improve the energy consumption structure.

Key words: energy intensity, informatization, spatial effect, spatial Durbin error model, Moran’s I