The impact of carbon leakage from energy-saving targets: A moderating effect based on new-energy model cities

被引:0
|
作者
Yu, Ziling [1 ]
Wang, Zhe [2 ]
Ma, Mengjuan [1 ]
Ma, Lili [1 ]
机构
[1] Northwest Univ, Sch Econ & Management, Xian 710127, Shaanxi, Peoples R China
[2] Xian Univ Finance & Econ, Sch Econ, Xian 710127, Shaanxi, Peoples R China
关键词
Energy-saving targets; New-energy model city; Carbon leakage; Industrial transfer; POLLUTING FIRMS; CHINA; EMISSIONS; POLICIES;
D O I
10.1016/j.apenergy.2024.124113
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In response to the threat of climate change and to accelerate the process of carbon neutrality, China has implemented energy-saving targets that take into account the level of regional economic development. This approach does reduce overall carbon dioxide (CO2) 2 ) emissions but is accompanied by significant carbon leakage. However, carbon leakage between cities has shown a downward trend since 2015. One possible reason is that the construction of new-energy model cities (NEMC), which began in 2014, has facilitated the promotion and application of renewable energy. Renewable energy, characterized by its wide distribution and "zero carbon" features, ensures a stable energy supply while reducing CO2 2 emissions. Its promotion and application have effectively mitigated the carbon leakage caused by energy-saving targets. To verify this conjecture, this paper utilizes data from 298 cities during the period of 2005-2021, establishes a fixed-effect model and a moderating effect model, and systematically examines the carbon leakage effect of energy-saving targets and the moderating effect of NEMC. The findings reveal that regions with strict energy-saving targets can increase CO2 2 emissions in regions with lax energy-saving targets through industrial transfer, while NEMC can attenuate the carbon leakage effect of these targets. Further analysis indicates that the mechanism of carbon leakage between regions is significantly influenced by geographic, economic, and energy linkages. In particular, cities with strict energy- saving targets tend to choose cities with close geographic proximity and strong energy links as their first choice for industrial transfer, leading to carbon leakage in these cities, while NEMC can effectively reduce carbon leakage through the path of industrial transfer. It is worth noting, however, that mere economic links between cities with lax energy-saving targets and cities with strict energy-saving targets do not lead to industrial transfer; only close economic links become important areas for industrial transfer, leading to carbon leakage. This paper addresses the critical issue of inter-city carbon leakage, which is of great significance in promoting the process of carbon neutrality.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Energy-saving targets and carbon neutrality: A perspective on carbon emissions and carbon substitution in 288 Chinese cities
    Yu, Ziling
    Wang, Zhe
    Ma, Lili
    Ma, Mengjuan
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 356
  • [2] Research on energy-saving coupling correlation of new energy buildings based on carbon emission effect
    Yang, Yang
    Chen, Feifei
    [J]. SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2023, 56
  • [3] The energy-saving effect in the new transformation of urbanization
    Feng, Yidai
    Yuan, Huaxi
    Liu, Yaobin
    [J]. ECONOMIC ANALYSIS AND POLICY, 2023, 78 : 41 - 59
  • [4] A New Evaluation System for Energy-Saving Effect Based on Extended Energy Consumption and Extended Energy Efficiency
    Huan, Kaixiang
    Zhu, Yongqiang
    Shen, Huiqi
    [J]. 2012 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2012,
  • [5] Industrial structure, energy-saving regulations and energy intensity: Evidence from Chinese cities
    Ma, Ben
    Yu, Yihua
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 141 : 1539 - 1547
  • [6] NEW ENERGY-SAVING AND ECO-FRIENDLY DISPATCHING MODEL FOR MICROGRID BASED ON ENERGY BLOCKCHAIN
    Hu, Wei
    Pei, Ying
    Zhang, Yi
    [J]. JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2022, 23 (01): : 258 - 265
  • [7] Study On The Distribution Of Energy-Saving Targets In Jiangsu Province Based On Regional Comprehensive Energy Saving Potential Difference
    Chen, Ding
    Fang, Zhigeng
    Zhang, Surong
    [J]. PROCEEDINGS OF 2013 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2013, : 429 - 435
  • [8] BUILDING EXTERIOR WALL THERMAL ENERGY SAVING MODEL BASED ON GREEN ENERGY-SAVING NANOMATERIALS
    Chi, Mingshu
    Yu, Kecheng
    Zhang, Cong
    Gao, Yuan
    Lu, Junchen
    [J]. THERMAL SCIENCE, 2023, 27 (2A): : 1015 - 1022
  • [9] Impact of psychological factors on energy-saving behavior: Moderating role of government subsidy policy
    Hong, Jin
    She, Yi
    Wang, Shanyong
    Dora, Marinova
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 232 : 154 - 162
  • [10] New Energy-saving Elevator Energy Consumption Analysis and Simulation Based on MATLAB
    Hao, Siyu
    Yang, Tingting
    Wu, Lin
    [J]. APPLIED ENERGY TECHNOLOGY, PTS 1 AND 2, 2013, 724-725 : 902 - +