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Published March 2019 | Version v1
Journal article

Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method

  • 1. College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, Henan Province (China)
  • 2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region (China)

Description

Highlights: • The risk factors in China's energy performance contracting are identified. • Best-worst network method is employed to prioritize these risk factors. • Managerial and operational risk is the most important category. • The four most important risks of energy performance contracting in China are identified. • The political and legal risk is the most critical risk of energy performance contracting in China. -- Abstract: The Energy Performance Contracting (EPC) industry in China faces many severe risks that hinder its development. This study aims at identifying the risk factors in China's EPC industry, developing a generic method for prioritizing these factors and identifying the key risk factors, and proposing some policy implications for China's decision-makers to draft effective measures and policies to promote the harmonious development of EPC industry in China. A total of 21 risk factors in five categories including external environmental risks, managerial and operational risks, financial and market risks, technical risks, and client risks are identified. A best-worst network (BWN) method was developed for ranking these risk factors based on the traditional Analytic Network Process (ANP) and the BW method. The results determined the BWN method were validated by ANP method, and the results determined by the BWN method were also compared with that determined by Analytic Hierarchy Process (AHP) method. According to the results, some policy implications have also been proposed for China's decision-makers.

Additional details

Identifiers

DOI
10.1016/j.energy.2018.12.140;
PII
S036054421832512X;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
170
Journal Page Range
p. 1-13
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55012331
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
CHINA; ENERGY POLICY; ENVIRONMENTAL POLICY; LEGAL ASPECTS; MARKET; PERFORMANCE
Descriptors DEC
ASIA; GOVERNMENT POLICIES

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.