Potential Impact of Mobile Phone Charger Standardization in China

The standardization of mobile phone charger is proceeding steadily in Europe. This paper makes a quantitative analysis on the potential impact of this move in China. The demands for mobile handset and phone charger in China after the introduction of standardization are predicted based on Bass diffusion model. The results indicate that the standardization would have little influence on mobile phone producers, but may charger makers face a fierce turbulence. Standardization would not only reduce the size of charger market, but also change the stable demand to a fluctuating pattern. Standardization of mobile phone charger can contribute to green economy greatly and provide the ICT industry a directive signal for green innovation in the future. Finally, suggestions for policy makers are provided based on the analysis.

The Application of Ecological Elements of Digital Technology in Construction Industry

The application of digital technology in the field of construction is still in its infancy, and the existing concrete framework of digital technology application in the construction industry and the study of applied ecological elements are not enough. The ecological elements of digital technology application in the construction industry are important factors that promote the healthy operation of the entire digital technology application ecosystem. Using grounded theory, we compiled the data of 33 researchers who participated in semi-structured interviews, and obtained 4 main categories and 9 sub-categories of ecological elements of digital technology application in the construction industry. Among them, the digital technology application mechanism is the core category of ecological application elements. We also used the Bass model to analyze the application trend of digital technology in the construction industry. In 2040, the number of construction companies applying digital technology will reach 98.66% of the maximum market potential.

Modeling the Diffusion of New Energy Vehicles in China Considering Subsidy Policies

The new energy vehicle(NEV)subsidy policy introduced in China in 2013 has significantly boosted the adoption and sales of NEVs,with sales increasing more than 40-fold.However,the mechanisms by which subsidy policies influence the diffusion of NEVs in China remain unclear,posing challenges for governments to design future strategies.Thus,the primary objective of this paper is to empirically examine the impact of subsidy policy on the diffusion of new energy vehicles and to forecast future development trends using the grey Bass model,a predictive model suited for new product adoption forecasting.Our findings suggest that while the sales of NEVs in China will continue to rise,the growth rate will slow.Key milestones include the first inflection points for new energy vehicles and battery electric vehicles,anticipated in 2025 and 2024 respectively,with peak sales expected in 2028 and 2027.These insights are crucial for manufacturers,enabling them to adjust their production strategies timely and enhance their resilience in the market.

A study on the effects of diffusion of information on epidemic spread

In this work,the spread of a contagious disease on a society where the individuals may take precautions is modeled.The primary assumption is that the infected individuals transmit the infection to the susceptible members of the community through direct contact interactions.In the meantime,the susceptibles gather information from the adjacent sites which may lead to taking precautions.The SIR model is used for the diffusion of infection while the Bass equation models the information diffusion.The sociological classification of the individuals indicates that a small percentage of the population takes action immediately after being informed,while the majority expects to see some real advantage of taking action.The individuals are assumed to take two different precautions.The precursory measures are getting vaccinated or trying to avoid direct contact with the neighbors.A weighted average of states of the neighbors leads to the choice of action.The fully connected and scale-free Networks are employed as the underlying network of interactions.The comparison between the simple contagion diffusion and the diffusion of infection in a responsive society showed that a very limited precaution makes a considerable difference in the speed and the size of the spread of illness.Particularly,highly connected hub nodes play an essential role in the reduction of the spread of disease.