Results 121 to 130 of about 10,408 (267)

Harnessing Star Power: The Distinct Effects of Star Inventors on Radical and Incremental Innovation

open access: yesJournal of Management Studies, EarlyView.
Abstract Star inventors are highly valuable resources, offering scarce knowledge and expertise that significantly enhance a firm's innovation performance. Beyond their expertise, what sets star inventors apart is their star status – a role that prescribes them high positions in organizational hierarchy and the power to steer resource allocation within ...
Murod Aliyev, Hyungseok David Yoon
wiley   +1 more source

A New Class of Production Functions and an Argument Against Purely Labor-Augmenting Technical Change

open access: yes
This paper follows Jones (2005) in his approach to deriving the global production function from microfoundations. His framework is generalized by allowing for dependence between the Pareto distributions of labor- and capital-augmenting developments ...
Growiec, Jakub
core  

Nonlinear Dynamics and Pseudo-Production Functions [PDF]

open access: yes
Aggregate production functions are still widely used four decades after it was conceded that they could not be grounded in any plausible micro-foundations.
Anwar Shaikh
core  

The Core‐Periphery Model Under Additively Separable Preferences

open access: yesJournal of Regional Science, Volume 65, Issue 2, Page 378-402, March 2025.
ABSTRACT This paper reexamines Krugman's core‐periphery model by substituting his constant elasticity of substitution (CES) utility with a general additively separable utility that comprehensively captures the pro‐competitive effect while preserving the income effect.
Congcong Wang, Dao‐Zhi Zeng, Xiwei Zhu
wiley   +1 more source

Technology Adoption and Productivity Difference among Growers of New Rice for Africa in Savanna Zone of Nigeria [PDF]

open access: yesTropicultura, 2009
The use of New Rice for Africa (NERICA) and complementary rice production technology is being promoted by Nigeria government in order to increase productivity of upland rice farming.
Rahji, MAY., Akintola, JO., Tiamiyu, SA.
doaj  

ESTIMATION OF FIRM-VARYING, INPUT-SPECIFIC EFFICIENCIES IN DAIRY PRODUCTION

open access: yes
Firm-varying production technologies were estimated using random coefficients regression methods for a sample of Massachusetts dairy farms. Results were compared to OLS Cobb-Douglas production function estimates.
Lass, Daniel A.   +1 more
core  

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

open access: yesMathematical Finance, EarlyView.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici   +3 more
wiley   +1 more source

The shape of aggregate production functions: evidence from estimates of the World Technology Frontier [PDF]

open access: yes
The article provides multifaceted evidence on the shape of the aggregate country-level production function, derived from the World Technology Frontier, estimated on the basis of annual data on inputs and output in 19 highly developed OECD countries in ...
Jakub Growiec   +3 more
core  

A Model of Strategic Sustainable Investment

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study a problem of optimal irreversible investment and emission reduction formulated as a nonzero‐sum dynamic game between an investor with environmental preferences and a firm. The game is set in continuous‐time on an infinite‐time horizon.
Tiziano De Angelis   +2 more
wiley   +1 more source

Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach

open access: yesMathematical Finance, EarlyView.
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović   +4 more
wiley   +1 more source

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