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Q-anonymous social welfare relations on infinite utility streams [PDF]

open access: yes
This paper studies a class of social welfare relations (SWRs) on the set of infinite utility streams. In particular, we examine the SWRs satisfying Q-Anonymity, an impartiality axiom stronger than Finite Anonymity, as well as Strong Pareto and a certain ...
Kamaga, Kohei, Kojima, Takashi
core  

Does ESG Matter for Unlisted Companies in the Agri‐Food Industry? Evidence From Japan's Unlisted Agri‐Food Companies

open access: yesAgribusiness, EarlyView.
ABSTRACT While ESG (environmental, social, and governance) is emphasized among listed companies for their stakeholders and ESG disclosures, ESG engagement among unlisted companies has been rarely examined due to data limitations. This is particularly problematic for the agri‐food industry that has significant impacts on the environment and consists ...
Ying Wang, Satoru Shimokawa
wiley   +1 more source

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

open access: yesAgribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi   +2 more
wiley   +1 more source

Interpreting equity price movements since the start of the financial crisis [PDF]

open access: yes
Equity markets have experienced large price movements since the financial crisis began in mid-2007. Understanding the factors that drive equity prices is important for policymakers as they may contain information about the future course of the economy ...
Inkinen, Mika   +2 more
core  

External Validation of an Automated Surgical Step Recognition Model for Robotic Distal Gastrectomy (RDG) Using a Multicenter Dataset

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Our present study reveals that surgical step recognition performs moderately well when trained on video data from a single institution and applied to an external institution's data. Nevertheless, our model substantially improves its prediction capabilities when trained on the same amount of data from multiple institutions.
James S. Strong   +8 more
wiley   +1 more source

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