Results 201 to 210 of about 826,562 (346)
The Labor Market Consequences of Electricity Adoption: Concrete Evidence from the Great Depression
, 2015 Miguel Morin
openalex +2 more sources
Public Policies Impacts on Latin American Labor Structures, Preparing For Integration [PDF]
One of the Main Subjects to Be Discussed, in Order to Adjust Latin American Economies to a Regional Integration Network, as Imposed By Mercosul or Other Economic Common Markets, is Related to the Employment and Other Labor Markets Public Policies.
Kon, Anita
core
Impact of Digital Ability and Rice Technology Adoption on Rice Farming Performance in Benin
Agribusiness, EarlyView.ABSTRACT This study examines the combined effects of digital ability and the adoption of various rice technologies among smallholder rice farmers, using GPS‐spatially matched data sources that include household surveys and a general census of rice value chain actors in Benin.
Landry Bellarmin Kassa, Takeshi Sakurai
wiley +1 more source
Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?
Agribusiness, EarlyView.ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan +2 more
wiley +1 more source
Some aspects of effective management of the labor market in Kazakhstan [PDF]
, 2009 Guljan Alimbekova, Alya Ilyasova
openalex +1 more source
Collective Choice and Control Rights in Firms [PDF]
Recent writers have asserted that firms controlled by workers are rare because workers have diverse preferences over firm policies, and thus suffer from high transaction costs in making collective decisions.
Gilbert L. Skillman, Gregory K. Dow
core
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
Advanced Intelligent Discovery, EarlyView.This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source