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Understanding the intention and behavior of individual is crucial to the effective implementation of waste sorting. Previous scholars mainly studied it through questionnaire research. This approach has a limited sample size, and the real behavior is difficult to quantify. In this paper, 180,417 drop-off data from 13,047 college students in the back...
To reduce food waste, many behavioural intervention experiments have been conducted worldwide, but their effectiveness remains unclear. To assess their impacts, we present a meta-analysis based on 58 studies, selected after screening 1143 papers, which were conducted between 2011 and 2021 covering 26 533 participants. We confirm that behavioural in...
(1) Background: Fine roots (≤2 mm in diameter) play a critical role in forest ecosystem ecological processes and has been widely identified as a major research topic. This study aimed to synthesize the global literature based on the Web of Science Core Collection scientific database from 1992 to 2020 and summarize the research trends and prospects...
Promoting pro-environmental behaviors is an effective means of reducing carbon emissions at the individual end, but the measurement of behaviors has long been a problem for scholars. Especially in environmental psychology community, the complexity of social policies and habitat implies greater difficulty in measuring. Due to the limitations of trad...
Recently I collected a global dataset with 700 observations but strongly unbalanced. And I need to figure out the nonlinear relationship between variables. I tried panel threshold and quantile regression but it all requires balanced data, and I don't think simply two-way FE is enough to explain the nexus. Could anyone give me some advice on analyzing unbalanced datasets?