Results 71 to 80 of about 32,796 (305)

The Power of Unity: Collective Action and Smallholder Agricultural Performance in West Africa

Agribusiness, EarlyView.
ABSTRACT We analyze the impact of collective action through farmer‐based organizations (FBOs) on smallholders' farm performance and income inequality in Ghana, Benin, The Gambia, and Mali. We find that FBO membership increases cereal yield in Ghana and The Gambia, legume yield in Mali, ruminant numbers in Benin and The Gambia, and total farm income in ...
Emmanuel Donkor, Bright Owusu Asante, David Boansi, Victor Owusu   +3 more
wiley   +1 more source

Credit-Scoring Methods (in English) [PDF]

The paper reviews the best-developed and most frequently applied methods of credit scoring employed by commercial banks when evaluating loan applications. The authors concentrate on retail loans – applied research in this segment is limited, though there
Martin Vojtek, Evžen Koèenda
core  

Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade

Agribusiness, EarlyView.
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci, Md Deluair Hossen, Andrew Muhammad, Seong‐Hoon Cho   +3 more
wiley   +1 more source

Credit scoring

, 2015
RESUMEN: El credit scoring es un sistema de modelos de decisión a través del cual se calcula la probabilidad de que un sujeto sea capaz de devolver o no un crédito comercial. Este trabajo realiza una simulación de este modelo con la intención de familiarizarse con el funcionamiento del mismo, así como con el marco teórico que este conlleva.
openaire   +3 more sources

Using Genetic Algorithm in Optimizing Decision Trees for Credit Scoring of Banks Customers [PDF]

Journal of Information Technology Management, 2010
Decision trees as one of the data mining techniques, is used in credit scoring of bank customers. The main problem is the construction of decision trees in that they can classify customers optimally.
Mahmood i Alborz, Mohammad Ebrahim Mohammad Pourzarandi, mohammad khanbabaei   +2 more
doaj  

A comparison of data mining techniques for credit scoring in banking: A managerial perspective

Journal of Business Economics and Management, 2009
Credit scoring is a very important task for lenders to evaluate the loan applications they receive from consumers as well as for insurance companies, which use scoring systems today to evaluate new policyholders and the risks these prospective customers ...
Huseyin Ince, Bora Aktan
doaj   +1 more source

An Entropy Based Algorithm for Credit Scoring [PDF]

, 2016
The request of effective credit scoring models is rising in these last decades, due to the increase of consumer lending. Their objective is to divide the loan applicants into two classes, reliable or unreliable, on the basis of the available information.
Saia, Roberto, CARTA, SALVATORE MARIO
openaire   +3 more sources

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

Deforestation and Efficiency: Insights From Forest Transition in the Brazilian Cerrado

Agribusiness, EarlyView.
ABSTRACT This paper estimates technical efficiency (TE) and environmental efficiency (EE) of agricultural production at the municipal level of the Brazilian Cerrado in 2006 and 2017, and investigates their underlying mechanisms in relation to forest transition theory.
Ricardo Muniz Simões, Cassiano Bragagnolo, Humberto Francisco Silva Spolador   +2 more
wiley   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source