ORIGINAL RESEARCH
A Study of Green Strategy Choice and Behavioral
Evolution of Consumers and Producers
under the Double Subsidy Policy
More details
Hide details
1
School of Economics and Management, North University of China, Taiyuan, China
2
School of Humanities and Law, Yanshan University, Qinhuangdao, China
3
Chuzhou Vocational and Technical College, Chuzhou, China
4
School of Economics and Management, Shandong Youth University of Political Science, Jinan, China
Submission date: 2024-03-13
Final revision date: 2024-04-23
Acceptance date: 2024-05-08
Online publication date: 2024-10-02
Publication date: 2025-05-09
Corresponding author
Bo Dong
Chuzhou Vocational and Technical College, Chuzhou, China
Pol. J. Environ. Stud. 2025;34(4):4331-4339
KEYWORDS
TOPICS
ABSTRACT
Consumer behavior is an important factor influencing the green production of enterprises from
the demand side, in order to explore the game relationship between producers and consumers under
the government’s double subsidy policy, the article combines the factors affecting the choice of consumers
and producers, and based on the replication of dynamic equations, constructs a game model
of the evolution of production behavior and consumption behavior and a simulation to analyze the evolution
of the system. Through an in-depth analysis of the Chinese refrigerator market, we explore how different
parameter settings affect the choice of strategies for system evolution. These parameters include
the initial probability, the multiple ways of subsidies provided by the government, the product price,
the perceived value of consumers, and the value of perceived loss. The results of the simulation experiment
show that the whole system is more likely to evolve in the direction of green production and green
consumption if firms have a stronger initial willingness toward green production and consumers are
more inclined to green consumption. In addition, when the government implements both purchase subsidies
and production subsidies, it can push the system to reach a steady state more quickly than if only
a single subsidy measure is used. At the same time, price changes of different types of refrigerators
can affect the evolution strategy of the system in different ways. After a series of analyses, we finally
provide feasible suggestions for promoting green production by enterprises and green consumption by
consumers, and at the same time, make a certain contribution to the reduction of air pollution.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (22)
1.
WANG P., LIU S.C. A game study on the evolution of green technology innovation under market-oriented mechanism. Economic Issues, (1), 67, 2022.
2.
WANG H.W., CAI L.R., ZENG W. Research on the evolutionary game of environmental pollution in system dynamics model. Journal of Experimental & Theoretical Artificial Intelligence, 23 (1), 39, 2011.
https://doi.org/10.1080/095281....
3.
ENCARNACAO S., SANTOS F.P., SANTOS F.C., BLASS V., PACHECO J.M., PORTUGALI J. Paths to the adoption of electric vehicles: An evolutionary game theoretical approach. Transportation Research Part B, 113, 24, 2018.
https://doi.org/10.1016/j.trb.....
4.
XU L., MA Y.G., WANG X.F. A study on environmental policy choice of green technology innovation based on evolutionary game: government behaviour vs. public participation. China Management Science, 30 (3), 2022.
5.
MA G.H., XIA G.L. Analysis of multi-subject evolutionary game of green product technology innovation under the background of environmental regulation. Ecological Economy, 36 (5), 2020.
6.
CAO X., ZHANG L.P. Evolutionary game analysis of corporate green technology innovation under environmental regulation - based on stakeholder perspective. Systems Engineering, 35 (2), 103, 2017.
7.
HUNG V.N., CUONG H.N., THOA T.B.H. Green consumption: Closing the intention-behavior gap [J]. Sustainable Development, 27 (1), 118, 2019.
https://doi.org/10.1002/sd.187....
8.
LIN P.C., HUANG Y.H. The influence factors on choice behavior regarding green products based on the theory of consumption values. Journal of Cleaner Production, 22 (1), 11, 2012.
https://doi.org/10.1016/j.jcle....
9.
YADAV R., PATHAK G.S. Determinants of Consumers' Green Purchase Behavior in a Developing Nation: Applying and Extending the Theory of Planned Behavior. Ecological Economics, 134, 114, 2017.
https://doi.org/10.1016/j.ecol....
10.
WANG J.M., ZHAO J. The implementation effect of information embedded regulatory tools on promoting online green consumption behavior in digital era: green purchase scenario simulation and regulatory tools design experiments. Management World, 38 (4), 142, 2022.
11.
YANG M., CHEN H., LONG R. The impact of different regulation policies on promoting green consumption behavior based on social network modeling. Sustainable Production and Consumption, 32, 468, 2022.
https://doi.org/10.1016/j.spc.....
12.
ZHANG Q., ZHENG Y. Pricing strategies for bundled products considering consumers' green preference. Journal of Cleaner Production, 344, 2022.
https://doi.org/10.1016/j.jcle....
13.
KONG H.M., WITMAIER A., KO E. Sustainability and social media communication: How consumers respond to marketing efforts of luxury and non-luxury fashion brands. Journal of Business Research, 131, 640, 2021.
https://doi.org/10.1016/j.jbus....
14.
LI Z., LIU X.Y., PENG R. Game analysis of green production and green consumption in manufacturing industry considering consumer acceptance. Soft Science, 35 (6), 132, 2021.
15.
JIN Y. Research on the Coupling and Coordinated Development of Green Production and Green Consumption- Taking the Yangtze River Delta Region as an Example. Research on Business Economics, (2), 42, 2021.
16.
SHEN Y.C., FU Y.Y., SONG M.L. Coupling relationship between green production and green consumption: Case of the Yangtze River Delta area. Natural Resource Modeling, 33 (1), e12239, 2020.
https://doi.org/10.1111/nrm.12....
17.
LIU B.L., ZHANG X.Q. Evolutionary game analysis of high-quality development of green economy in Shanghai: based on the perspective of MATLAB simulation. Contemporary Economy, 40 (3), 65, 2023.
18.
QI H.S., SUN J., LI J.J. Policy mechanism for value realization of ecological agricultural products from the perspective of evolutionary game. Journal of Natural Resources, 38 (7), 1797, 2023.
https://doi.org/10.31497/zrzyx....
19.
SHEN C., WEI M.X., XIA Y., SHENG Y.L. Evolutionary Game Analysis of Network Food Safety Governance with Multi-agent Participation. Industrial Engineering Journal, 25 (2), 1, 2022.
20.
LIU R.J., ZHOU X. The evolutionary game between government subsidies and the intelligent upgrading of enterprise logistics. Science and Technology Management Research, 43 (4), 185, 2023.
21.
YANG S.G., HE S.T. Research on Policy Incentive Mechanism for Enterprise Digital Diffusion: Based on Complex Network Evolutionary Game Model. Soft Science, 37 (9), 8, 2023.
22.
WEN L., MA S., LYU S. The influence of internet celebrity anchors' reputation on consumers' purchase intention in the context of digital economy: from the perspective of consumers' initial trust. Applied Economics, 1, 2024.
https://doi.org/10.1080/000368....