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Liang Li

Researcher at Nanjing University of Information Science and Technology

Publications -  12
Citations -  567

Liang Li is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Engineering & Customer engagement. The author has an hindex of 6, co-authored 7 publications receiving 168 citations.

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Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies

TL;DR: The results indicate that direct environmental regulations exert a strong and significant incentive effect on green technology innovations in heavily polluting industries and the heterogeneity of enterprise ownership.
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Determinants of intention and behavior of low carbon commuting through bicycle-sharing in China

TL;DR: Wang et al. as discussed by the authors investigated the determinants of intention and behavior of low-carbon commuting through bicycle-sharing (LCB) in China and found that intention has higher positive effect on females' behavior of LCB than males'.
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Extending theory of planned behavior in household waste sorting in China: the moderating effect of knowledge, personal involvement, and moral responsibility

TL;DR: Zhang et al. as discussed by the authors investigated the moderating roles of knowledge, moral obligation and personal involvement on the relationship between perceived behavior control and low-carbon household waste sorting behavior.
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Behavioral intention of environmentally friendly agricultural food: the role of policy, perceived value, subjective norm

TL;DR: It is found that female consumers may consume more of environmentally friendly agricultural food compared with males, and the consumption of EFA food was significantly different across different level of income.
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Engagement factors for waste sorting in China: The mediating effect of satisfaction

TL;DR: Wang et al. as mentioned in this paper explored how the perceived value of waste sorting, sorting facilities, income, age, and education affect waste sorting satisfaction, and analyzed the effect of satisfaction on engagement in terms of enthusiasm, social interaction, and active participation by region and gender using multiple-group structural equation modeling.