城镇化及房地产投资对中国碳排放的影响机制及效应研究
The Mechanism and Effect of Urbanization and Real Estate Investment on Carbon Emissions in China
查看参考文献26篇
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文摘
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以城镇化及房地产投资对碳排放的影响机理为研究基础,首先基于变形Kaya恒等式和LMDI分解方法对1997~2015年中国30个省份的碳排放变化进行因素分解,重点考察了城镇化和房地产投资对碳排放的影响,并采用空间面板数据模型从直接影响和空间溢出效应两方面进行实证检验。研究结果表明:① 1997~2015年中国碳排放量一直保持增长趋势,房地产投资碳排放系数是最主要碳排放促减因素,城镇房地产投资强度、城镇化水平和地区总人口变化对碳排放具有促增作用,且效果逐年增大。②各省碳排放量在空间上存在显著差异,总体上呈现东高西低的分布特征。碳排放量较少的省区空间集聚程度有所增强,地区间差异在不断缩小。③城镇化水平对碳排放的直接影响显著为负,但其空间溢出效应显著为正;城镇房地产投资强度对碳排放的直接影响影响具有促增效应,其空间溢出效应并不显著;两者的交互作用具的直接效应和空间溢出效应显著为负;经济发展水平对本地区碳排放的直接效应和空间溢出效应均显著为正;政府投资对碳排放的直接影响显著为负,但空间溢出效应并不显著;产业结构对本地区的碳排放没有显著的影响,但是其空间溢出效应显著为负;对外开放程度对本地区的碳排放具有显著的促减作用,但是对相邻地区的碳排放具有促增效应;随着城镇化水平和经济发展水平的提高,碳排放水平分别呈现出显著的U型和倒U型曲线关系。 |
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其他语种文摘
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Urbanization and real estate investment are important influencing factors of carbon emission in a region. Therefore, it is necessary to systematically analyze and test the internal impact mechanism of urbanization and real estate investment on carbon emission. Combining the deformation of Kaya identity and LMDI decomposition, this article decomposes the carbon emission changes of 30 provinces in China (due to data limitation, the data of Hong Kong, Macao, Taiwan and Tibet are not included in the study area) from 1997 to 2015. The spatial evolution characteristics of carbon emissions in Chinese provinces are described by Moran’s I index and LISA spatial agglomeration map. This article further uses the spatial panel data model to empirically test the effects of urbanization and real estate investment on carbon emission from both direct impact and spatial spillover effects. The results are as follow: First, from the time trend, China’s carbon emission has maintained a growth trend from 1997 to 2015. From the perspective of the decomposition factors of carbon emission, the carbon emission coefficient of real estate investment is the main driving factor to curb carbon emissions, while the intensity of urban real estate investment, the level of urbanization and the change of total population in the region have positive effects on carbon emission, and the effects are increasing year by year. Second, from the spatial distribution characteristics of carbon emission, there are significant differences for the carbon emission in the provincial-level, and the distribution characteristics are generally expressed as higher carbon emission in the east and lower in the west. The spatial concentration of provinces with less carbon emission has increased, and the regional differences among them have been shrinking. Third, from the regression results of the spatial panel data model, the direct impact of urbanization on carbon emission is significantly negative, but the spatial spillover effect is significantly positive. The direct effect of the intensity of urban real estate investment on carbon emission is positive, but its spillover effect is not significant. The direct effect and spatial spillover effect of the interaction between urbanization and the intensity of urban real estate investment are significantly negative. The direct effect and spatial spillover effect of economic development on carbon emission are significantly positive. The direct impact of government investment on carbon emission is significantly negative, but the spillover effect is not significant. Industrial structure has no significant direct effect on the carbon emission, but its spatial spillover effect is negatively negative. The degree of opening to the outside world has a significant negative direct effect on the carbon emission, but it has a positive effect on the carbon emission in the adjacent areas. With the improvement of the level of urbanization and economic development, there is a significant U-shaped and inverted U-shaped curve relationship between the two and carbon emission, respectively. This article further proposes countermeasures and suggestions to improve regional carbon emission reduction from the perspective of urbanization and real estate policies. |
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来源
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地理科学
,2019,39(4):644-653 【核心库】
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DOI
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10.13249/j.cnki.sgs.2019.04.014
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关键词
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城镇化
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房地产投资
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碳排放
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LMDI
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空间面板数据模型
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地址
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浙江工业大学管理学院, 浙江, 杭州, 310023
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-0690 |
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学科
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社会科学总论 |
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基金
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国家自然科学基金项目
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国家教育部人文社会科学研究项目
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国家教育部哲学社会科学研究重大课题攻关项目
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文献收藏号
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CSCD:6495072
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参考文献 共
26
共2页
|
|
1.
王钦池. 城市规模、城市化率与碳排放关系研究:基于近半世纪161个国家的数据.
西北人口,2015,36(3):1-5,12
|
CSCD被引
2
次
|
|
|
|
|
2.
吴婵丹. 国外关于城市化与碳排放关系研究进展.
城市问题,2014(6):22-27
|
CSCD被引
3
次
|
|
|
|
|
3.
Zha D L. Driving forces of residential CO_2 emissions in urban and rural China: An index decomposition analysis.
Energy Policy,2010,38(7):3378-3383
|
CSCD被引
4
次
|
|
|
|
|
4.
陆铭. 集聚与减排:城市规模差距影响工业污染强度的经验研究.
世界经济,2014(7):86-114
|
CSCD被引
52
次
|
|
|
|
|
5.
郭炳南. 外商直接投资、城市化与中国CO_2排放:来自时间序列和省际面板数据的经验证据.
山西财经大学学报,2013,35(8):12-20
|
CSCD被引
1
次
|
|
|
|
|
6.
Clark T A. Metropolitan density, energy efficiency and carbon emissions: Multi-attribute tradeoffs and their policy implications.
Energy Policy,2013(53):413-428
|
CSCD被引
4
次
|
|
|
|
|
7.
Chikaraishi M. The moderating effects of urbanization on carbon dioxide emissions: a latent class modeling approach.
Technological Forecasting and Social Change,2015,90(Part A):302-317
|
CSCD被引
8
次
|
|
|
|
|
8.
刘贤赵. 中国省域碳强度空间依赖格局及其影响因素的空间异质性研究.
地理科学,2018,38(5):681-690
|
CSCD被引
33
次
|
|
|
|
|
9.
林伯强. 中国城市化阶段的碳排放:影响因素和减排策略.
经济研究,2010(8):66-78
|
CSCD被引
94
次
|
|
|
|
|
10.
孙昌龙. 城市化不同演化阶段对碳排放的影响差异.
地理科学,2013,33(3):266-272
|
CSCD被引
35
次
|
|
|
|
|
11.
曾德珩. 不同国家城市化中期阶段与碳排放关系研究.
重庆大学学报(社会科学版),2015,21(1):46-50
|
CSCD被引
1
次
|
|
|
|
|
12.
肖周燕. 中国城市化发展阶段与CO_2排放的关系研究.
中国人口·资源与环境,2011,21(12):139-145
|
CSCD被引
4
次
|
|
|
|
|
13.
Zhang C. Panel estimation for urbanization, energy consumption and CO_2 emissions: A regional analysis in China.
Energy Policy,2012(49):488-498
|
CSCD被引
4
次
|
|
|
|
|
14.
Al-Mulali U. Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission.
Energy,2012,46(1):156-167
|
CSCD被引
12
次
|
|
|
|
|
15.
Al-Mulali U. Exploring the relationship between urbanization, energy consumption, and CO_2 emission in MENA countries.
Renewable and Sustainable Energy Reviews,2013(23):107-112
|
CSCD被引
19
次
|
|
|
|
|
16.
Sadorsky P. The effect of urbanization on CO_2 emissions in emerging economies.
Energy Economics,2014(41):147-153
|
CSCD被引
19
次
|
|
|
|
|
17.
Wang Y. The relationship between urbanization, energy use and carbon emissions: Evidence from a panel of Association of Southeast Asian Nations countries.
Journal of Cleaner Production,2016,112:1368-1374
|
CSCD被引
8
次
|
|
|
|
|
18.
郑蕾. 中国投资引致碳排放与经济增长的空间特征及脱钩测度.
资源科学,2015,37(12):2330-2340
|
CSCD被引
5
次
|
|
|
|
|
19.
邵帅. 中国制造业碳排放的经验分解与达峰路径:广义迪氏指数分级和动态情景分析.
中国工业经济,2017(3):44-63
|
CSCD被引
29
次
|
|
|
|
|
20.
陈诗一. 资本深化、生产率提高与中国二氧化碳排放变化-产业、区域、能源三维结构调整视角的因素分解分析.
财贸经济,2010(12):111-119
|
CSCD被引
5
次
|
|
|
|
|
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