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Game Theory and Applications in Economics

  • Guangdong University of Finane & Economics


We sincerely thank all the authors and reviewers for their valuable contributions to this special issue.
Game Theory and Applications in Economics
Pu-yan Nie,1Takashi Matsuhisa,2X. Henry Wang,3and Pei-ai Zhang4
1Institute of Industrial Economics, Jinan University, Guangzhou 510632, China
3Department of Economics, University of Missouri, Columbia, MO 65211, USA
4Department of Mathematics, Jinan University, Guangzhou 510632, China
Correspondence should be addressed to Pu-yan Nie;
Received 22 April 2014; Accepted 22 April 2014; Published 19 May 2014
Copyright © 2014 Pu-yan Nie et al. is is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Game theory, as a branch of the applied mathematics,
contributes insight into economics, sociology, and many
other disciplines. Game theory has outstanding eects on the
theory of economics, and the literature on applying game
theoretical and related approaches to economics is growing
rapidly, and yet many theoretical and empirical challenges
remain in this eld.
theory to problems in economics, including economic theory,
microeconomics, industrial economics, and other application
elds. e publication of this special issue can eciently
extend the applications of game theory and attracts the
attention of economists to game theory.
is special issue received high-quality manuscripts from
23 countries all over the world. Aer a strict review pro-
cess, 25 high-quality papers are published. ese 25 papers
cover the game theory and applications in all elds of eco-
nomics, including microeconomics, industrial economics,
and macroeconomics.
game theory. Cooperative games are still challenging topics
and four papers develop the theory about cooperative games.
D. Hou and T. Driessen explored the cooperative game
theory and applied it to data cost games. J. Pang and X.
Chen developed the cooperative game theory under fuzzy
environment. R. P. Arribillaga et al. compared the cooperative
and competitive solution for generalized assignment game.
J. Pang et al. further developed the Shapley values of fuzzy
coalition game theory.
P. Zhang calculated the xation probability of evolution-
ary graphs, in which a graph is combined with evolutionary
game. D.-F. Li and J. Yang investigated the bimatrix fuzzy
games and proposed an algorithm to attack them. P. L. Leoni
developed the theory learning games. F. Xu et al. and Z. Zhou
existence theory of games with a special function.
In the applications of microeconomics, ve papers are
published. S. Shindo and N. Matsubayashi investigated the
brand strategies under horizontal dierence. M. Kwak et al.
addressed the price equilibrium with multiperiods. L. Car-
valho considered the multiplayer bargaining problem and
gave the perfect equilibrium. G. Xie et al. remarked the qual-
ity promotion policies under Stackelberg games. J. Durieu
and P. Solal investigated the best response strategy.
ere are 9 papers that captured the industrial eco-
nomic problems. P. Sun compared the subsidy strategies
for renewable energy industry. A. Tao et al. compared the
hospital industry with game theory and considered corporate
social responsibility (CSR). S. S. Askar captured the eects
of cost uncertainty on Cournot competition. Y.-H. Chen
and X.-W. Wen investigated the cooperative advertising.
J. Xu investigated instant messenger with the two-sided
market theory. Y. Yang compared the innovation subsidy
and product subsidy and concluded that the optimal choice
depends on the governmental preference. A. Zhou analyzed
the entry deterrence problem. Z. Tan employed the game
theory approaches to solve the advertisement competition
Hindawi Publishing Corporation
Journal of Applied Mathematics
Volume 2014, Article ID 936192, 2 pages
2Journal of Applied Mathematics
and argued that transportation costs aect the advertisement
ere is another interesting paper considering social
network analysis based on network motifs. X. Hong-lin
et al. proposed a new evaluation function for eectiveness
We sincerely thank all the authors and reviewers for their
valuable contributions to this special issue.
Pu-yan Nie
Takashi Matsu h i s a
X. Henry Wang
Pei-ai Zhang
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