Moretti (2021a,b) (henceforth M21) studies agglomeration effects for innovation, testing whether the size of technology clusters causes patenting. Agglomeration effects are important for understanding technological progress (Kerr and Robert-Nicoud, 2020), and are affected by constraints on...

This study examines global econo-environmental capability for 118 countries over 1995 to 2024 using a five-lens framework covering productive capacity (PC), developmental momentum (DM), resource efficiency (RE), degradation and depletion ratio (DDR), and remaining development potential (RDP)....

This study aimed to investigate the 79 double taxation treaties that Türkiye has signed with various countries and provide empirical evidence of asymmetries among them. The study also highlighted the importance of neutrality in international tax policy; examined the asymmetries caused by...

Using k-means clustering, we analyse two years of hourly electricity consumption data from approximately 4,000 households, based on specific consumption features. We identify three distinct clusters with clearly differentiated consumption levels and daily load profiles. A multinomial logit model...

The operational phase of a building consumes a significant amount of energy, making energy efficiency a priority for a sustainable built environment. This study examines operational energy-saving opportunities of Ethiopian urban housing through a cluster analysis of 927 sample units in Addis...