Results 201 to 210 of about 3,165 (265)

Buyer‐Optimal Platform Design

The RAND Journal of Economics, EarlyView.
ABSTRACT A platform matches a unit mass of sellers, each owning a single product of heterogeneous quality, to a unit mass of buyers with differing valuations for unit‐quality. After matching, sellers make take‐it‐or‐leave‐it price‐offers to buyers. Initially, valuations of buyers are only known to them and the platform, but sellers make inferences from
Daniele Condorelli, Balazs Szentes
wiley   +1 more source

A study on collaboration innovation: Perspectives of innovative ecosystems of value co-creation using evolutionary game theory. [PDF]

PLoS One
Shi X, Wang J.
europepmc   +1 more source

Storage games

The RAND Journal of Economics, EarlyView.
ABSTRACT We study a long‐horizon, oligopolistic market with random shocks to demand that can be arbitraged by two storage operators with finite capacity. This problem applies to any storable commodity—that is, most commodities. Because the arbitrage spread is so sensitive to market power, storage operators face strong incentives to restrain quantities ...
Sergei Balakin, Guillaume Roger
wiley   +1 more source

Social learning with complex contagion. [PDF]

Proc Natl Acad Sci U S A
Chiba-Okabe H, Plotkin JB.
europepmc   +1 more source

The Political Economy of Patent Buyouts

The RAND Journal of Economics, EarlyView.
ABSTRACT Incentivizing innovation through buyouts may alleviate the social costs associated with patent power, but the political economy and feasibility of this potentially important financing mechanism have been understudied. We study an international setting of countries with different innovation and financing capabilities, and where financing ...
Amal Ahmad, Dominik Naeher, Sebastian Vollmer   +2 more
wiley   +1 more source

The social cost of carbon in regions and industries from ESG perspective - a case study of eight economic regions in China. [PDF]

Carbon Balance Manag
Tian Z, Tian L, Zhao Y.
europepmc   +1 more source

AutoPollS: A tool for automated monitoring of pollinators using deep learning

Methods in Ecology and Evolution, EarlyView.
Abstract Deep learning and computer vision hold enormous potential for automated monitoring of biodiversity, including pollinators and other insects. Efficient, scalable monitoring of insect pollinators is crucial given pollinators' role in supporting biodiversity and agricultural productivity amidst declining pollinator populations.
Matthew A.‐Y. Smith, Olivia M. Bernauer, Grace Melone, Brett Graham, Julia Wiessing, Rafael Salas, Jeremy Hemberger, Abhishek Bhattacharyya, Acacia T. S. Tang, Elena Rojas, Joshua San Miguel, Brian J. Spiesman, Claudio Gratton, James D. Crall   +13 more
wiley   +1 more source

Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model. [PDF]

Sci Rep
Mao X, Wang Y, Mao Y, Song H.
europepmc   +1 more source

How Tether Depegging Affects Cryptocurrency Returns

Accounting &Finance, EarlyView.
ABSTRACT This paper examines the relationship between Tether depegging events and the returns of ten major cryptocurrencies from November 2017 to November 2024. We distinguish between upward and downward deviations from the Tether peg, identifying these events as threshold exceedances based on historical prices, using both constant parameter and ...
Sean Foley, Seung Ah Lee, George Milunovich   +2 more
wiley   +1 more source

Endogenous green technology innovation and diffusion with strategic international spillovers. [PDF]

Carbon Balance Manag
Feng Z.
europepmc   +1 more source