Under the strong support of policies and incentives, the global electric vehicle (EV) market has been developing rapidly. However, in the context of the overall EV market boom, the promotion policies and incentives for consumers to adopt EVs differ from country to country. It is worth exploring the key factors that affect market share and adoption of EVs, such as incentives, policies, and additional socio-economic factors. The data on EV market share and information on policies and incentives in 20 countries were collected from the published reports and online resources from 2015 to 2019. Random effects model analysis was conducted to explore the effect of various factors on EV market share. The innovation of this article is to combine incentive policies with socio-economic factors and use panel data to analyze the actual adoption behavior of the global EV market. Results show that the tax reduction policy, charger density, and income have significantly positive effects on the penetration of EVs. Thus, it suggested that government should still maintain tax incentives and focus on the deployment of charging infrastructure. Household income, as a socio-economic factor, also plays an important role in the adoption of EVs. This will help policymakers adjust and improve policy emphasis to promote the adoption of EVs.

The implementation of green projects continues to encounter several challenges with regards to the project management techniques applied in different construction projects. This study aims to find out the relationship between green construction management and the quality of highway engineering projects, and to try to help innovators identify the best place to focus. This study adopted mixed research method where both quantitative and qualitative research approaches were used. The analysis techniques adopted included Pearson’s correlation, regression analysis, and Student’s t-test. The study found that the effect of financial issues, design codes and standards, and various risks will be the most effective green performance constructing strategies. It is revealed that there are eight determinants explained 77.5% of the variations in the quality of the highway engineering projects. The quality of highway engineering projects was expected to improve by 0.246 units for a unit change in the adoption of the green construction management. The research result will help stakeholders in improving the quality standards for highway engineering projects and help practitioners and experts in the construction project industry to better understand the relationship between green construction management and quality of highway engineering projects, and help them improve green construction management in an effort to promote sustainable development of project management. This research can be further studied in the future to expand the scope of data analysis to explain the differences in the level of social development.

The construction industry is often ranked top in producing the largest amount of waste during a project, be it the waste of material resources or the waste of manpower. This has elevated the need for an improved and more structured management technique. This study will look into the principles and practices of lean management pertinent to highway construction projects to analyze whether lean management practices can improve the management efficiency for complex projects. This study adopted a quantitative approach, and a linear regression model has been used to investigate correlations between the lean test factors and the efficiency-dependent variables. It was found that lean management tools that are used repeatedly and the ones that require a high level of detailing are positively associated with efficiency improvement in highway construction projects. In particular, LPS, JIT, and VM were found to be more commonly used in highway construction projects. The research results will aid in the initial decision-making process of the project managers, as they will be able to map different lean tools with their benefits and limitations and then select the one that best suits the project needs and deliverables. Future studies can adopt the interpretivism paradigm to explore new theories and concepts related to highway construction management.