Government Low-Carbon Policies Optimization for Smart Transportation Enterprises
As an important part of energy saving and carbon reduction, the low-carbon development of the transportation industry is imperative. It is the responsibility of smart transportation enterprises to closely combine their own digital technology with the governments’ policies to achieve green innovation...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/1099147 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850236230441107456 |
|---|---|
| author | Kai Gao Xin Guo Tingting Liu Rui Han |
| author_facet | Kai Gao Xin Guo Tingting Liu Rui Han |
| author_sort | Kai Gao |
| collection | DOAJ |
| description | As an important part of energy saving and carbon reduction, the low-carbon development of the transportation industry is imperative. It is the responsibility of smart transportation enterprises to closely combine their own digital technology with the governments’ policies to achieve green innovation. In this study, we conducted an evolutionary game model of the interaction between the governments and smart transportation enterprises, which depended on innovation subsidies and punitive taxes. Besides, we derived the evolutionarily stable strategy of the governments and enterprises and used a simulation to analyze the impact of various policy tools on green innovation strategy. The results showed that the behavior of the governments relies on the benefits of supervision and the costs of supporting green technology innovation. The enterprises’ behavior depends on the benefits of green innovation and the loss of no green innovation. Moreover, different policy tools provided by the governments can accelerate the implementation of enterprises’ green innovation. |
| format | Article |
| id | doaj-art-151c27dd4cd14aeea6fdbf57f95a28be |
| institution | OA Journals |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-151c27dd4cd14aeea6fdbf57f95a28be2025-08-20T02:02:01ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/1099147Government Low-Carbon Policies Optimization for Smart Transportation EnterprisesKai Gao0Xin Guo1Tingting Liu2Rui Han3School of ManagementSchool of ManagementSchool of International Trade and EconomicsSchool of ManagementAs an important part of energy saving and carbon reduction, the low-carbon development of the transportation industry is imperative. It is the responsibility of smart transportation enterprises to closely combine their own digital technology with the governments’ policies to achieve green innovation. In this study, we conducted an evolutionary game model of the interaction between the governments and smart transportation enterprises, which depended on innovation subsidies and punitive taxes. Besides, we derived the evolutionarily stable strategy of the governments and enterprises and used a simulation to analyze the impact of various policy tools on green innovation strategy. The results showed that the behavior of the governments relies on the benefits of supervision and the costs of supporting green technology innovation. The enterprises’ behavior depends on the benefits of green innovation and the loss of no green innovation. Moreover, different policy tools provided by the governments can accelerate the implementation of enterprises’ green innovation.http://dx.doi.org/10.1155/2022/1099147 |
| spellingShingle | Kai Gao Xin Guo Tingting Liu Rui Han Government Low-Carbon Policies Optimization for Smart Transportation Enterprises Discrete Dynamics in Nature and Society |
| title | Government Low-Carbon Policies Optimization for Smart Transportation Enterprises |
| title_full | Government Low-Carbon Policies Optimization for Smart Transportation Enterprises |
| title_fullStr | Government Low-Carbon Policies Optimization for Smart Transportation Enterprises |
| title_full_unstemmed | Government Low-Carbon Policies Optimization for Smart Transportation Enterprises |
| title_short | Government Low-Carbon Policies Optimization for Smart Transportation Enterprises |
| title_sort | government low carbon policies optimization for smart transportation enterprises |
| url | http://dx.doi.org/10.1155/2022/1099147 |
| work_keys_str_mv | AT kaigao governmentlowcarbonpoliciesoptimizationforsmarttransportationenterprises AT xinguo governmentlowcarbonpoliciesoptimizationforsmarttransportationenterprises AT tingtingliu governmentlowcarbonpoliciesoptimizationforsmarttransportationenterprises AT ruihan governmentlowcarbonpoliciesoptimizationforsmarttransportationenterprises |