Green real estate is a new form of development that seeks to reduce the negative impact of real estate construction on the environment and society. It offers various forms of environmental and social utility and also bears higher construction costs. Residents’ satisfaction and willingness to pay (WTP) are therefore of great significance for the progress of green real estate. However, residents’ satisfaction with green residential areas and its correlation with WTP has been insufficiently researched. This study draws on face-to-face interviews conducted with 614 households in Qingtangwan (an exemplary green real estate project in Beijing) to extract information about residents’ satisfaction and WTP. With regard to satisfaction, it identifies five main components, specifically the operation and maintenance of residential areas, indoor and outdoor comfort, building quality, sustainable community attachment, and public facility accessibility (this last category had lower satisfaction). In terms of WTP, residents’ mean WTP was found to be CHY 204.23 per month, which is approximately USD 31.19. In addition to the bid value, the indoor and outdoor comfort, building quality, sense of community, and public facility accessibility were all found to be significantly related to residents’ WTP. Relevant policy recommendations for promoting this development mode included the establishment of public funds, the regular collection and disclosure of information about residents’ satisfaction, phased rent increases, and the enhancement of community cultural construction.

This study aims to evaluate the preferences of Shanghai residents for four key attributes of carbon tax policies via the choice-based conjoint analysis method, with the goal of understanding the potential application of carbon tax policies in China. The findings indicate that the most critical concern for Shanghai residents is the annual cost of the ca trbonax (48.87%), followed by policy transparency (24.72%), revenue allocation (16.68%), and policy implementers (9.73%). The average willingness to pay is CNY 1435.28 annually, indicating a relatively high acceptance of carbon tax policies. Furthermore, increasing public awareness of carbon tax policies significantly enhances willingness to pay, which in turn helps increase tax revenue and promotes the development of low-carbon technologies. This study provides valuable insights for policymakers on carbon tax implementation, contributing to China’s transition to a low-carbon economy.

A constant supply of novel ideas and contributions from all economic sectors is required to further the sustainable development of cities. Therefore, there is a growing need for well -educated graduates to enter metropolitan job markets. As urban environments and culture have been shown to affect a graduates' eventual carrier choice and trajectory, governments often seek to change their local environments to attract graduates who can help efficiently allocate and utilize a city's often-limited environmental budgets. In this study, the conjoint analysis method was employed to explore the effects of four environmental attributes (water pollution, air pollution, littering, and green area) on graduate employment preferences. Water pollution was shown to have the greatest effect on graduate preferences (43.6%), followed by air Pollution (34.1%), littering (20.7%), and green area (1.6%). According to this ranking of importance, cities could improve their environmental attributes to maximize the attraction of Northeast graduates. Moreover, this study applied the Baidu index (a big data sharing platform) to improve the attribute selection process of the conjoint analysis method. The improvement reduced the cost of the conjoint analysis method and enhanced its objectivity.

Carbon tax policies (CTP) are globally acknowledged for curbing energy consumption and emissions. Despite global adoption, China's reluctance to embrace a carbon tax, possibly due to effectiveness and public acceptance concerns, is notable. This study employs Choice-Based Conjoint Analysis to gauge Shanghai residents' preferences on four CTP attributes. Among Shanghai's populace, the annual cost of the carbon tax policy ranks highest (48.87%), followed by implementation transparency (24.72%), revenue utilization (16.68%), and policy implementers (9.73%). Notably, Shanghai residents exhibit an average annual willingness to pay of 1435.28 CNY, indicating increased acceptance. Enhanced public awareness of carbon tax policies significantly boosts willingness to pay, augmenting carbon tax revenues and fostering low-carbon technology development. Additionally, transparency improvements in carbon tax policy yield notable increases in willingness to pay, underscoring the link between understanding CTP and its perceived importance. These findings highlight the potential of carbon tax policies in advancing sustainability and transitioning to low-carbon economies.