Results 91 to 100 of about 3,491 (260)
ABSTRACT The U.S. Department of Agriculture's (USDA) World Agricultural Supply and Demand Estimates (WASDE) play a central role in how agricultural commodity markets process information about supply, demand, and prices. This study examines how global and domestic shocks, as well as policy interventions, are reflected in the similarity of WASDE ...
Zhining Sun +2 more
wiley +1 more source
MODELLING GOVERNMENT SPENDING IN EXTERNAL FINANCING AND RESERVES WITH ESTIMATION FOR PAKISTAN
This paper augments a model developed for the government spending for a closed economy by introducing foreign loans, foreign reserves and exchange rates, which are of vital importance for budgeting in an open economy.
Mirza Faizan AHMED +2 more
doaj
ABSTRACT The derived demand for the increased demand for meat and dairy products is clearly observed in the fast‐paced growth of the Indian feed industry and its increased demand for agricultural commodities (e.g., corn, soybean, rice, wheat, broken rice, millet, etc.) as feed ingredients.
Dwiti Baruah Thapa +2 more
wiley +1 more source
Food Security Strategy, Macroeconomic Dynamics and Food Import Sensitivity in Qatar
ABSTRACT Qatar has limited agricultural land and water resources and therefore remains highly dependent on food imports. This structural dependency makes Qatar vulnerable to external shocks such as the recent Gulf crisis, threatening food security and disrupting global supply chains. In response to previous shocks, Qatar started implementing a National
Hansini Ranjan +5 more
wiley +1 more source
Foreign Exchange Reserves and Economic Growth of Brazil: A Nonlinear Approach
The research aims to look at the linear and nonlinear causal relationships between Brazil’s accumulated international reserves and economic growth from 1989 Q1 through 2021 Q4.
M. Kashif +3 more
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
Short- and long-term determinants of Indonesia’s rice import: An error correction model approach
Indonesia's dependence on rice imports has become a crucial issue in food security. This study examines the determinants of rice imports using an ECM model, analyzing the influence of rice production, exchange rate, domestic rice price, harvested land ...
Ririt Iriani Sri Setiawati +3 more
doaj +1 more source
Food inflation pass‐through from agricultural imports in a small open economy
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley +1 more source

