期刊
ENVIRONMENTAL RESEARCH LETTERS
卷 16, 期 11, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1748-9326/ac2e87
关键词
sustainable development; big data; job preferences; conjoint analysis
资金
- National Natural Science Foundation of China [51478268]
- Chinese Postdoctoral Science Foundation [2020M682886]
Cities need constant supply of novel ideas and contributions from all economic sectors to further sustainable development, attracting well-educated graduates to enter metropolitan job markets. The study found that improving water pollution is crucial in enhancing the attractiveness of cities to graduates from Northeast China.
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 (CA) method was employed to explore the effects of four environmental attributes (water pollution, air pollution, littering, and green area) on graduate employment preferences in northeast China. 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 CA method. The improvement reduced the cost of the CA method and enhanced its objectivity.
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