A multi-scenario input-output economy-energy-environment nexus management model for Pearl River Delta urban agglomeration

被引:18
作者
Li, X. [1 ]
Li, Y. P. [1 ,2 ]
Li, G. H. [1 ,2 ]
Lv, J. [3 ]
Ma, Y. [1 ]
Li, Y. F. [1 ]
机构
[1] Beijing Normal Univ, Sch Environm, Ctr Energy Environm & Ecol Res, Beijing 100875, Peoples R China
[2] Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada
[3] North China Elect Power Univ, Sino Canada Energy & Environm Res Ctr, Beijing 102206, Peoples R China
关键词
Decision making; Economy-energy-environment nexus; Planning; Scenario analysis; Simulation-optimization; Urban agglomeration; SIMULATION; REDUCTION; EMISSIONS; SYSTEM; RISK;
D O I
10.1016/j.jclepro.2021.128402
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Synergistic management of economy-energy-environment nexus (EEEN) system is essential for balancing the tradeoff among economic development, energy supply, and environment conservation. In this study, a multi -scenario input-output economy-energy-environment nexus management (abbreviated as MIO-ENM) model is developed through incorporating input-output model (IOM), scenario analysis, and simulation-optimization techniques within a general framework. MIO-ENM is capable of identifying the main factors affecting the EEEN system as well as generating optimal strategies supporting regional sustainability. The MIO-ENM model is applied to planning EEEN of Pearl River Delta (abbreviated as PRD) urban agglomeration over a long-term planning horizon (2021-2035). Results for planning economic and energy-related activities have been ob-tained, which can be used for further generating decision alternatives. Results disclose that: (i) development of advanced manufacturing and service industry can improve the regional economic efficiency; (ii) under all sce-narios, the proportion of electricity in energy consumption would exceed 35% mainly due to the environmental requirement; (iii) the annual economic growth rate is suggested around 6.0% during 2021-2035; (iv) compared to the conventional approach, the integrated modeling of EEEN can generate optimal joint-management stra-tegies for economy development, energy production, and environmental protection, which are beneficial to the sustainability of the PRD urban agglomeration.
引用
收藏
页数:21
相关论文
共 45 条
[31]   Carbon mitigation in the built environment: an input-output analysis of building materials and components in the UK [J].
Pomponi, Francesco ;
D'Amico, Bernardino .
25TH CIRP LIFE CYCLE ENGINEERING (LCE) CONFERENCE, 2018, 69 :189-193
[32]   Growth and trade in the United States and the world economy: Overview [J].
Salvatore, Dominick .
JOURNAL OF POLICY MODELING, 2020, 42 (04) :750-759
[33]   Analyzing urban ecosystem variation in the City of Dongguan: A stepwise cluster modeling approach [J].
Sun, J. ;
Li, Y. P. ;
Gao, P. P. ;
Suo, C. ;
Xia, B. C. .
ENVIRONMENTAL RESEARCH, 2018, 166 :276-289
[34]  
Tabatabaie S.M.H., 2020, RESOURCES, VX
[35]   The underlying drivers of economy-wide energy efficiency and asymmetric energy price responses [J].
Tajudeen, Ibrahim A. .
ENERGY ECONOMICS, 2021, 98
[36]   Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches [J].
Torabi Moghadam, Sara ;
Delmastro, Chiara ;
Corgnati, Stefano Paolo ;
Lombardi, Patrizia .
JOURNAL OF CLEANER PRODUCTION, 2017, 165 :811-827
[37]   A non-linear systematic grey model for forecasting the industrial economy-energy-environment system [J].
Wang, Zheng-Xin ;
Jv, Yue-Qi .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 167
[38]   Dynamic assessment of urban economy-environment-energy system using system dynamics model: A case study in Beijing [J].
Wu, Desheng ;
Ning, Shuang .
ENVIRONMENTAL RESEARCH, 2018, 164 :70-84
[39]   Integrating ecosystem services value and uncertainty into regional ecological risk assessment: A case study of Hubei Province, Central China [J].
Xing, Lu ;
Hu, Mingsheng ;
Wang, Yi .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 740
[40]   Seasonal variation and the distribution of endocrine-disrupting chemicals in various matrices affected by algae in the eutrophic water environment of the pearl river delta, China [J].
Yang, Juan ;
Chan, King Ming ;
Gong, Jian .
ENVIRONMENTAL POLLUTION, 2020, 263