国内图书分类号：C931.6 学校代码：10213
国际图书分类号：005.7 密级：公开
管理学硕士学位论文
广东省能源消耗碳排放的集聚性和异质性
研究
硕士研究生 ： 宋春雨
导师 ： 王东副教授
申请学位 ： 管理学硕士
学科 ： 工商管理
所在单位 ： 深圳研究生院
答辩日期 ： 2018年06月
授予学位单位 ： 哈尔滨工业大学

Classified Index: C931.6
U.D.C: 005.7
Dissertation for the Master Degree in Management
STUDY ON THE AGGLOMERATION AND
HETEROGENEITY OF ENERGY
CONSUMPTION CARBON EMISSIONS IN
GUANGDONG PROVINCE
Candidate： Chunyu Song
Supervisor： Associate Prof. Dong Wang
Academic Degree Applied for： Master of Management
Speciality： Business Administration
Affiliation： Shenzhen Graduate School
Date of Defence： June, 2018
Degree-Conferring-Institution： Harbin Institute of Technology
哈尔滨工业大学管理学硕士学位论文
- I -
摘要
随着1979年哥本哈根大会的召开，全球气候变暖问题逐渐引起了人们的重
视，近些年来，气候变暖所导致的极端天气、自然灾害，使得全球各个国家都
积极主动地去应对气候变暖带给我们人类的诸多问题。全球气候变暖的主要诱
因来自于温室气体中二氧化碳的排放，所以对于碳减排的问题，是应对气候变
暖的重中之重。广东省作为我国经济增速名列前茅的大省，同时又是国家首批
进行低碳试点的省份之一，面临着强烈的经济增长与经济增长过程中所产生的
二氧化碳排放的矛盾，如何实现碳减排是广东省必须高度重视的问题，这为本
文的研究提供了很好的现实意义
本研究运用空间计量模型对2006-2015年广东省21个地级市人均能源消耗
碳排放的面板数据进行分析，检验广东省21个地级市的人均能源消耗碳排放是
否存在空间效应，如若存在空间效应，其在空间上呈现何种集聚特征？同时分
析其影响因素对人均能源消耗碳排放在空间上的影响以及其空间作用机制，随
后对碳排放各影响因素在空间上呈现的异质性进行分析，最终提出政策建议
结果表明：2006-2015年间，人均能源消耗碳排放在空间上具有较强的相关
性，并呈现明显的集聚特征，形成不同类型的集聚群。随着时间的推移，高高
（H-H）集聚群有减弱趋势，低低（L-L）集聚群有扩增趋势。通过对碳排放的
影响因素对人均能源消耗碳排放在空间上所形成的影响来看，第二产业增加值
对本地区人均能源消耗碳排放的影响程度是最大的，同时临近地区的人均GDP、
能源强度以及人均私人汽车拥有量的变化也会对本地区的人均能源消耗碳排放
产生一定的影响，存在一定的空间溢出效应。通过对碳排放的影响因素空间异
质性分析，发现大部分影响因素对人均能源消耗碳排放的影响在空间上呈现连
片分布的特征，空间异质性显著
最后，本研究基于实证结果提出相应的政策建议。同时提出了本研究存在
的短板，并对未来的研究方向进行展望
关键词：人均能源消耗碳排放；集聚特征；异质性
哈尔滨工业大学管理学硕士学位论文
- II -
Abstract
With the convening of the 1979 Copenhagen Conference, global warming has
gradually aroused wide attention. In recent years, each country has actively responded
to the problems brought by climate warming, the main cause of which comes from
carbon dioxide emissions. Therefore, the issue of carbon emission reduction is the
top priority. As a big province topping domestic economic growth and one of the
provinces carrying out low carbon pilots, Guangdong province is facing a
contradiction between economic growth and carbon dioxide emissions. Therefore, it
has paid much attention to realize carbon emission reduction, which means that this
study is of great practical significance.
Using spatial econometric model, this thesis analyzes the panel data of per capita
energy consumption carbon emissions of the 21 cities in Guangdong Province from
2006 to 2015, and tests whether there is a spatial effect in per capita energy
consumption carbon emissions among the 21 cities. If there is, then what kind of
agglomeration feature does it present in space Meanwhile, it analyzes the spatial
impacts of its influencing factors and the spatial influencing mechanism.
Subsequently, this thesis analyzes the spatial heterogeneity of the influencing factors
of carbon emissions. Some policy suggestions are put forward at the end.
The results show that from 2006 to 2015, there is a strong spatial correlation for
per capita energy consumption carbon emissions, featured by forming different types
of clusters. With time passing, the H-H agglomeration occurs a decreasing trend,
while the L-L agglomeration tends to amplify. What’s more, we find that the added
value of secondary industry has the greatest impact on local per capita energy
consumption carbon emissions. There is certain space spillover effect, which means
that the local emissions can be influenced by the changes of per capita GDP, energy
intensity and per capita private car ownership of neighboring regions. This thesis
finds the spatial heterogeneity of different factors’ impacts on carbon emissions quite
significant, which distributes continuously in space.
At the end, this thesis proposes corresponding policy suggestions based on
empirical results. Also, it clarifies the limitations of this study and puts forward some
prospects for future research.
Keywords: per capita energy consumption carbon emissions, agglomeration feature,
heterogeneity。。。。。。