How do government policies affect the diffusion of green innovation among peer enterprises? - An evolutionary-game model in complex networks

[1]  Qunwei Wang,et al.  Can environmental regulation directly promote green innovation behavior?—— based on situation of industrial agglomeration , 2021 .

[2]  Abou Bakar,et al.  The effects of green growth, environmental-related tax, and eco-innovation towards carbon neutrality target in the US economy. , 2021, Journal of environmental management.

[3]  Zixiang Wei,et al.  Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network , 2021 .

[4]  Fangyi Li,et al.  A network-based evolutionary analysis of the diffusion of cleaner energy substitution in enterprises: The roles of PEST factors , 2021 .

[5]  B. Lev,et al.  Herding behavior in supplier innovation crowdfunding: Evidence from Kickstarter , 2021 .

[6]  Zongyi Hu,et al.  Environmental regulation, economic policy uncertainty, and green technology innovation , 2021, Clean Technologies and Environmental Policy.

[7]  Manuel S. González Canché,et al.  A Complex Systems Network Approach to Quantifying Peer Effects: Evidence From Ghanaian Preprimary Classrooms. , 2021, Child development.

[8]  Yu Wang,et al.  Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China , 2021 .

[9]  Zongjun Wang,et al.  How environmental regulations affect corporate innovation? The coupling mechanism of mandatory rules and voluntary management , 2021 .

[10]  Feng Chen,et al.  An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network , 2021 .

[11]  C. Ntim,et al.  Do peer firms influence innovation? , 2021 .

[12]  Yan Wang,et al.  Can the current environmental tax rate promote green technology innovation? - Evidence from China’s resource-based industries , 2021 .

[13]  F. Crespi,et al.  Unfolding heterogeneity: The different policy drivers of different eco-innovation modes , 2020 .

[14]  Guochang Fang,et al.  Stochastic analysis of a shale gas investment strategy for coping with production uncertainties , 2020 .

[15]  Jian-ling Jiao,et al.  Analysis of the impact of policies intervention on electric vehicles adoption considering information transmission—based on consumer network model , 2020 .

[16]  Lixin Tian,et al.  The construction of a comprehensive multidimensional energy index , 2020 .

[17]  Dayuan Li,et al.  Differential effects of voluntary environmental programs and mandatory regulations on corporate green innovation , 2020, Natural Hazards.

[18]  Laijun Chen,et al.  Promoting electric vehicle charging infrastructure considering policy incentives and user preferences: An evolutionary game model in a small-world network , 2020 .

[19]  M. Song,et al.  Could environmental regulation and R&D tax incentives affect green product innovation? , 2020 .

[20]  Lu Qiu,et al.  How do firms achieve sustainability through green innovation under external pressures of environmental regulation and market turbulence? , 2020, Business Strategy and the Environment.

[21]  Jian Zuo,et al.  The impact of environmental regulations on urban Green innovation efficiency: The case of Xi'an , 2020, Sustainable Cities and Society.

[22]  Elizabeth A. Gordon,et al.  Peer R&D Disclosure and Corporate Innovation: Evidence from American Depositary Receipt Firms , 2020 .

[23]  Jiaqi Zhai,et al.  Research on Diffusion Mechanism of Green Innovation of Cloud Manufacturing Enterprises Based on BA Scale-Free Agglomeration Network Game , 2020, IEEE Access.

[24]  Craig Boutilier,et al.  Empathetic decision making in social networks , 2019, Artif. Intell..

[25]  Arda Yenipazarli,et al.  Incentives for environmental research and development: Consumer preferences, competitive pressure and emissions taxation , 2019, Eur. J. Oper. Res..

[26]  Stijn Kelchtermans,et al.  The Role of Peer Effects in Firms' Usage of R&D Tax Exemptions , 2019 .

[27]  Jian-ling Jiao,et al.  An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network , 2019, Energy Policy.

[28]  Lu Wang,et al.  Research on low-carbon diffusion considering the game among enterprises in the complex network context , 2019, Journal of Cleaner Production.

[29]  Yuan Zhou,et al.  How do low-carbon policies promote green diffusion among alliance-based firms in China? An evolutionary-game model of complex networks , 2019, Journal of Cleaner Production.

[30]  Taiwen Feng,et al.  Green innovation to respond to environmental regulation: How external knowledge adoption and green absorptive capacity matter? , 2019, Business Strategy and the Environment.

[31]  Jian-bai Huang,et al.  An effects analysis of China's metal mineral resource tax reform: A heterogeneous dynamic multi-regional CGE appraisal , 2018, Resources Policy.

[32]  Gang Kou,et al.  A survey on the fusion process in opinion dynamics , 2018, Inf. Fusion.

[33]  Wenbo Du,et al.  Effects of taxation on the evolution of cooperation , 2018, Chaos, Solitons & Fractals.

[34]  Hailong Li,et al.  Policy simulation for promoting residential PV considering anecdotal information exchanges based on social network modelling , 2018 .

[35]  Yanyan Tang,et al.  Substitution effect of New-Energy Vehicle Credit Program and Corporate Average Fuel Consumption Regulation for Green-car Subsidy , 2018, Energy.

[36]  Zhenghui Li,et al.  Green loan and subsidy for promoting clean production innovation , 2018, Journal of Cleaner Production.

[37]  Ruguo Fan,et al.  The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents , 2018, Energy Policy.

[38]  Jun Zhou,et al.  Evolution of innovative behaviors on scale-free networks , 2018, Frontiers of Physics.

[39]  Baolong Yuan,et al.  The effects of three types of environmental regulation on eco-efficiency: A cross-region analysis in China , 2018 .

[40]  Ruguo Fan,et al.  Study on the optimal supervision strategy of government low-carbon subsidy and the corresponding efficiency and stability in the small-world network context , 2017 .

[41]  Yu Cheng,et al.  Energy efficiency and marginal carbon dioxide emission abatement cost in urban China , 2017 .

[42]  Bin Wu,et al.  An evolutionary analysis of low-carbon strategies based on the government–enterprise game in the complex network context , 2017 .

[43]  Ela Ozkan-Canbolat,et al.  Application of Evolutionary Game Theory to Strategic Innovation , 2016 .

[44]  Hing Kai Chan,et al.  The moderating effect of environmental dynamism on green product innovation and performance , 2016 .

[45]  Jing Ma,et al.  An evolutionary game for the diffusion of rumor in complex networks , 2015 .

[46]  V. Costantini,et al.  Demand-pull and technology-push public support for eco-innovation: The case of the biofuels sector , 2015 .

[47]  Salahuddin M. Kamal,et al.  An evolutionary inspection game with labour unions on small-world networks , 2015, Scientific Reports.

[48]  Stephen Kinsella,et al.  Peer Effects in the Diffusion of Innovations: Theory and Simulation , 2015 .

[49]  Ville Rantala,et al.  Social Learning and Corporate Peer Effects , 2014 .

[50]  Hewu Wang,et al.  China’s electric vehicle subsidy scheme: Rationale and impacts , 2014 .

[51]  Noor Hazarina Hashim,et al.  Bandwagon and leapfrog effects in Internet implementation , 2014 .

[52]  Mark T. Leary,et al.  Do Peer Firms Affect Corporate Financial Policy? , 2010 .

[53]  P. Ekins Eco-innovation for environmental sustainability: concepts, progress and policies , 2010 .

[54]  D. Pujari,et al.  Mainstreaming Green Product Innovation: Why and How Companies Integrate Environmental Sustainability , 2010 .

[55]  Adam B. Jaffe,et al.  Dynamic Incentives of Environmental Regulations: The Effects of Alternative Policy Instruments on Te , 1995 .

[56]  Frederick J. Long,et al.  Gaining competitive advantage through environmental investments , 1995 .

[57]  Lori Rosenkopf,et al.  INSTITUTIONAL AND COMPETITIVE BANDWAGONS: USING MATHEMATICAL MODELING AS A TOOL TO EXPLORE INNOVATION DIFFUSION , 1993 .

[58]  H. Quirmbach,et al.  R&D: Competition, Risk, and Performance , 1993 .