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
[1]   Impacts of transport strike on Pakistan economy: An inoperability Input-Output model (IIOM) approach [J].
Ali, Yousaf ;
Bilal, Muhammad ;
Sabir, Muhammad .
RESEARCH IN TRANSPORTATION ECONOMICS, 2021, 90
[2]  
[Anonymous], GUANGD STAT YB
[3]   Moving from final to useful stage in energy-economy analysis: A critical assessment [J].
Aramendia, Emmanuel ;
Brockway, Paul E. ;
Pizzol, Massimo ;
Heun, Matthew K. .
APPLIED ENERGY, 2021, 283
[4]   THE ECONOMY-ENERGY-ENVIRONMENT NEXUS IN IMF'S TOP 2 BIGGEST ECONOMIES: A TY APPROACH [J].
Atta Mills, Ebenezer Fiifi Emire ;
Zeng, Kailin ;
Baafi, Mavis Agyapomah .
JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 2020, 21 (01) :1-22
[5]  
CEADs, EM INV 30 PROV CARB
[6]   Impact assessment of local land use on ecological water quality of the Guayas river basin (Ecuador) [J].
Damanik-Ambarita, Minar Naomi ;
Boets, Pieter ;
Hanh Tien Nguyen Thi ;
Forio, Marie Anne Eurie ;
Everaert, Gert ;
Lock, Koen ;
Musonge, Peace Liz Sasha ;
Suhareva, Natalija ;
Bennetsen, Elina ;
Gobeyn, Sacha ;
Tuan Long Ho ;
Dominguez-Granda, Luis ;
Goethals, Peter L. M. .
ECOLOGICAL INFORMATICS, 2018, 48 :226-237
[7]   A multi-objective interactive approach to assess economic-energy-environment trade-offs in Brazil [J].
de Carvalho, Ariovaldo Lopes ;
Antunes, Carlos Henggeler ;
Freire, Fausto ;
Henriques, Carla Oliveira .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 :1429-1442
[8]   Exploring the Spatio-temporal pattern of regional heat island (RHI) in an urban agglomeration of secondary cities in Eastern India [J].
Dutta, Ipsita ;
Das, Arijit .
URBAN CLIMATE, 2020, 34
[9]   Energy-environment-economy causal nexus in Pakistan: A graph theoretic approach [J].
Fazal, Rizwan ;
Rehman, Syed Aziz Ur ;
Rehman, Atiq Ur ;
Bhatti, Muhammad Ishaq ;
Hussain, Anwar .
ENERGY, 2021, 214
[10]   An inexact multi-objective programming model for an economy-energy-environment system under uncertainty: A case study of Urumqi, China [J].
Fu, Z. H. ;
Xie, Y. L. ;
Li, W. ;
Lu, W. T. ;
Guo, H. C. .
ENERGY, 2017, 126 :165-178