Published September 2018 | Version v1
Journal article

Fuel-factor nesting structures in CGE models of China

  • 1. Research Institute for Global Value Chains (RIGVC), University of International Business and Economics (UIBE), No.10 Huixin Eastern Street, Choayang district, Beijing 100029 (China)
  • 2. School of Economics, Beijing Wuzi University, Fuhe Street, Tongzhou District, Beijing 101149 (China)

Description

Highlights: • KE-L is a more appropriate nesting structure than KL-E for China. • Previous exercises might have overestimated costs of energy conservation. • In the preferred KE-L bundle, energy saving is dominated by output effects. - Abstract: Fuel-factor nesting structures are critical features of CGE models but have rarely been chosen in a robust manner. This study thoroughly examines two popular fuel-factor nesting structures in CGE models of China, namely KL-E1 and KE-L.2 We use non-linear algorithms to estimate the underlying CES production functions of these two structures. We recommend the latter to be used in CGE models of China, as it exhibits 1) better goodness of fit, 2) better convergence, and 3) better compliance with economic meanings. Our estimations show that the ranges for the inner- and outer-CES parameters3 in our preferred KE-L structure are 0.6–0.8 and 0.7–0.9, respectively. Applying these in a CGE model, we find nesting strategies used in previous CGE exercises might have overestimated energy conservation costs in China. A decomposition shows that, using our KE-L, changes in energy use are dominate by output effects rather than substitution effects.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eneco.2018.08.030

Additional details

Identifiers

DOI
10.1016/j.eneco.2018.08.030;
PII
S0140988318303608;

Publishing Information

Journal Title
Energy Economics
Journal Volume
75
Journal Page Range
p. 274-284
ISSN
0140-9883
CODEN
EECODR

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50070629
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; CHINA; COST; ENERGY CONSERVATION; FUELS; NONLINEAR PROBLEMS
Descriptors DEC
ASIA; MATHEMATICAL LOGIC

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.