Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 41 Issue 10
Oct.  2023
Turn off MathJax
Article Contents
WANG Zhiqiang, LI Kehui, REN Jin'ge, ZHANG Qi. INFLUENTIAL FACTORS AND SCENARIO FORECAST OF CARBON EMISSIONS OF CONSTRUCTION INDUSTRY IN SHANDONG PROVINCE BASED ON LMDI-SD MODEL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 108-116. doi: 10.13205/j.hjgc.202310014
Citation: WANG Zhiqiang, LI Kehui, REN Jin'ge, ZHANG Qi. INFLUENTIAL FACTORS AND SCENARIO FORECAST OF CARBON EMISSIONS OF CONSTRUCTION INDUSTRY IN SHANDONG PROVINCE BASED ON LMDI-SD MODEL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 108-116. doi: 10.13205/j.hjgc.202310014

INFLUENTIAL FACTORS AND SCENARIO FORECAST OF CARBON EMISSIONS OF CONSTRUCTION INDUSTRY IN SHANDONG PROVINCE BASED ON LMDI-SD MODEL

doi: 10.13205/j.hjgc.202310014
  • Received Date: 2023-01-08
    Available Online: 2023-12-26
  • Taking the construction industry of Shandong Province as the research object, this paper analyzes the relevant influencing factors of carbon emissions through the logarithmic mean Divisia index (LMDI) model, builds a system dynamics model, and predicts the impact of four different scenarios on carbon emissions by regulating GDP growth rate, the proportions of building materials and carbon trading policy. The results show that:1) the economic benefit effect and indirect carbon emission intensity are the main driving factors affecting the carbon emissions of the construction industry in Shandong Province. 2) Under the single policy simulation scenario, the growth trend of the total carbon emissions of the construction industry in Shandong Province has slowed down year by year. Compared with the economic growth and carbon trading policy adjustment, the contribution of the improvement of the building materials structure to the emission reduction is higher. 3) Under the comprehensive regulation and control plan, the carbon emission intensity of the construction industry of Shandong Province in 2030 will decrease by 64.34% compared with 2006, which reaches the national goal of reducing the carbon emission intensity by 60% in 2030.
  • loading
  • [1]
    中国建筑节能协会建筑能耗与碳排放数据专委会.2021中国建筑能耗与碳排放研究报告[R].重庆, 2021.
    [2]
    LU Y J, CUI P, LI D Z.Carbon emissions and policies in China's building and construction industry:evidence from 1994 to 2012[J].Building and Environment, 2016, 95:94-103.
    [3]
    宋金昭, 苑向阳, 王晓平.中国建筑业碳排放强度影响因素分析[J].环境工程, 2018, 36(1):178-182.
    [4]
    蒋博雅, 黄宝麟, 张宏.基于LMDI模型的江苏省建筑业碳排放影响因素研究[J].环境科学与技术, 2021, 44(10):202-212.
    [5]
    XIANG X X, MA X, MA Z L, et al.Python-LMDI:a tool for index decomposition analysis of building carbon emissions[J].Buildings, 2022, 12(1):83.
    [6]
    HE J H, YUE Q, LI Y, et al.Driving force analysis of carbon emissions in China's building industry:2000-2015[J].Sustainable Cities and Society, 2020, 60:102268.
    [7]
    FORRESTER J W.Counterintuitive behavior of social systems[J].Technological Forecasting and Social Change, 1971, 3:1-22.
    [8]
    刘菁, 赵静云.基于系统动力学的建筑碳排放预测研究[J].科技管理研究, 2018, 38(9):219-226.
    [9]
    赵冬蕾, 刘伊生.基于系统动力学的中国建筑业碳排放预测研究[J].河南科学, 2019, 37(12):2025-2033.
    [10]
    WANG Y K, LIANG Y, SHAO L S.Driving factors and peak forecasting of carbon emissions from public buildings based on LMDI-SD[J].Discrete Dynamics in Nature and Society, 2022, 2022:1-10.
    [11]
    尚春静, 蔡晋, 刘艳荣, 等.海南省建筑业碳排放核算分析及预测研究[J].环境工程, 2016, 34(4):161-165.
    [12]
    孔佑花, 王丽, 郭志玲, 等.基于系统动力学的甘肃省碳排放峰值预测[J].环境工程技术学报, 2018, 8(3):309-318.
    [13]
    安璐.基于LMDI的辽宁省建筑业碳排放影响因素研究[D].沈阳:沈阳建筑大学, 2020.
    [14]
    张峰, 殷秀清, 董会忠.组合灰色预测模型应用于山东省碳排放预测[J].环境工程, 2015, 33(2):147-152.
    [15]
    田红, 丁长安.区域旅游业碳排放的时空差异:以山东省为例[J].北京理工大学学报(社会科学版), 2018, 20(6):45-54.
    [16]
    刘杨, 刘鸿斌.山东省农业碳排放特征、影响因素及达峰分析[J].中国生态农业学报(中英文), 2022, 30(4):558-569.
    [17]
    杜强, 陆欣然, 冯新宇, 等.中国各省建筑业碳排放特征及影响因素研究[J].资源开发与市场, 2017, 33(10):1201-1208.
    [18]
    ZHU W N, FENG W, LI X D, et al.Analysis of the embodied carbon dioxide in the building sector:a case of China[J].Journal of Cleaner Production, 2020, 269:122438.
    [19]
    CHEN W L, YANG S Y, ZHANG X Z, et al.Embodied energy and carbon emissions of building materials in China[J].Building and Environment, 2022, 207:108434.
    [20]
    ZHU C, LI X D, ZHU W N, et al.Embodied carbon emissions and mitigation potential in China's building sector:an outlook to 2060[J].Energy Policy, 2022, 170:113222.
    [21]
    刘国娟.北京市民用建筑运行能耗影响因素分析与情景预测[D].北京:华北电力大学, 2014.
    [22]
    JIANG R, LI R R.Decomposition and decoupling analysis of life-cycle carbon emission in China's building sector[J].Sustainability, 2017, 9(5):793.
    [23]
    WU Y, CHAU K W, LU W S, et al.Decoupling relationship between economic output and carbon emission in the Chinese construction industry[J].Environmental Impact Assessment Review, 2018, 71:60-69.
    [24]
    WU P, SONG Y Z, ZHU J B, et al.Analyzing the influence factors of the carbon emissions from China's building and construction industry from 2000 to 2015[J].Journal of Cleaner Production, 2019, 221:552-566.
    [25]
    周美瑜.基于系统动力学的建筑业碳排放研究[D].广州:广东工业大学, 2020.
    [26]
    HUO T F, LI X H, CAI W G, et al.Exploring the impact of urbanization on urban building carbon emissions in China:evidence from a provincial panel data model[J].Sustainable Cities and Society, 2020, 56:102068.
    [27]
    李小冬, 朱辰.我国建筑碳排放核算及影响因素研究综述[J].安全与环境学报, 2020, 20(1):317-327.
    [28]
    赵冬蕾.民用建筑碳排放系统仿真及减排路径研究[D].北京:北京交通大学, 2021.
    [29]
    冯博, 王雪青, 刘炳胜.考虑碳排放的中国建筑业能源效率省际差异分析[J].资源科学, 2014, 36(6):1256-1266.
    [30]
    邵龙.基于系统动力学的中国建筑业碳排放情景预测研究[D].西安:长安大学, 2020.
    [31]
    熊灵, 齐绍洲, 沈波.中国碳交易试点配额分配的机制特征、设计问题与改进对策[J].武汉大学学报(哲学社会科学版), 2016, 69(3):56-64.
    [32]
    郭冠龙.浙江省碳排放影响因素分解及其交易政策仿真研究[D].杭州:浙江财经大学, 2018.
    [33]
    张俊荣, 王孜丹, 汤铃, 等.基于系统动力学的京津冀碳排放交易政策影响研究[J].中国管理科学, 2016, 24(3):1-8.
    [34]
    刘勇, 曾康佳.中国工业碳排放交易政策影响研究[J].中国科技论坛, 2018, 269(9):156-165.
    [35]
    ZHOU K L, LI Y W.Influencing factors and fluctuation characteristics of China's carbon emission trading price[J].Physica A:Statistical Mechanics and its Applications, 2019, 524:459-474.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (141) PDF downloads(10) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return