This working paper provides preliminary insights into the housing attitudes and aspirations of Hong Kong's post-80s generation. In particular, the concern is why Hong Kong's younger generation faces a similar situation to that of many other countries: a failure to launch (i.e., from parental...

Mechanization is expanding rapidly in developing countries. However, long-term use of agricultural machinery is projected to result in additional carbon emissions. Actually, major changes in mechanized production have already occurred, affecting agricultural systems' environmental performance....

While the Xiangjiang (XJ) River acts as an inland drinking water source, it may experience microplastics emissions originating from Changsha (CS) City. The aim of this study was to characterize the occurrence and distribution of microplastics in the XJ River during both the flooding and dry...

This paper examines a critical question in the application of machine learning models in the social sciences, namely the use of performance metrics for model evaluation of binary classification tasks. More specifically, it investigates how sample data imbalance as measured in prevalence level...

Research suggests that multinational enterprises (MNEs) are attracted to locations with concentrated firms from the same home country to benefit from interactions with market forces, but it remains an open question whether such agglomeration facilitates MNEs’ interactions with nonmarket actors...

Escalating geopolitical tensions between countries may lead to a country’s adoption of foreign economic policies that promote economic decoupling from the rival country. Our study examines which multinational enterprises (MNEs) tend to embrace their home government’s decoupling policies in...

The United States REITs market is booming, while China REITs is just starting. The AI revolution is affecting all walks of life and has become a new driving force for all industries. However, AI is not widely used in REITs. This paper proposes a deep learning model trained with LSTM to predict...