ArticlePloS one2020
Impact of incentive and selection strength on green technology innovation in Moran process.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Evolution analysis of low-carbon cooperation of service providers based on Moran process in cloud manufacturing.PloS one · 2024Article
- Evolution dynamic of intelligent construction strategy of coal mine enterprises in China.Heliyon · 2022Article
- Research on the Mechanism of Government-Industry-University-Institute Collaborative Innovation in Green Technology Based on Game-Based Cellular Automata.International journal of environmental research and public health · 2022Article
- How to alter path dependency and promote the use of EPC model in public projects of China?PloS one · 2022Article
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Authors and funding
2 authors.
Funding
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Abstract
Methods of previous researches on green technology innovation will have difficulty in finite population. One solution is the use of stochastic evolutionary game dynamic-Moran process. In this paper we study stochastic dynamic games about green technology innovation with a two-stage free riding problem. Results illustrate the incentive and selection strength play positive roles in promoting participant to be more useful to society, but with threshold effect: too slighted strength makes no effect due to the randomness of the evolution process in finite population. Two-stage free riding problem can be solved with the use of inequality incentives, however, higher inequality can make policy achieves faster but more unstable, so there would be an optimal range. In this paper we provided the key variables of green technology innovation incentive and principles for the environmental regulation policy making. Also reminded that it's difficult to formulate policies reasonably and make them achieve the expected results.
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