Results 61 to 70 of about 70,827 (296)
Dhaka University Journal of Science, 2023 This research inspects the associations among several macroeconomic factors in Bangladesh using yearly time series data from 1971 to 2019. It also aimed to determine if the environmental Kuznets curve (EKC) hypothesis exists in Bangladesh or not. The findings from the stationarity tests reveal that all variables are ordered I (1) integrated.
Salma Akhter, Murshida Khanam
openaire +1 more source
Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain
Agribusiness, EarlyView.Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley +1 more source
Discover AgricultureThis study examines how climate variability affects chickpea production in Ethiopia’s central highlands, using a statistical model called the autoregressive distributed lag (ARDL). The goal is to understand how changes in climate factors like temperature
Tariku Tirfeessa +2 more
doaj +1 more source
The non-linear impact of stokvel savings and banking sector development in South Africa
Al-ArbahPurpose - The study investigated the non-linear impact of stokvel savings and banking sector development in South Africa. Method - The study applied the unit root break-even test, bounds F-test or cointegration and the nonlinear autoregressive ...
Lindiwe Ngcobo
doaj +1 more source
Agribusiness, EarlyView.ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb +2 more
wiley +1 more source
On time series modeling of Nigeria's external reserves [PDF]
, 2015 This paper proposes three short-term forecasting models for the adjusted external reserves using the seasonal autoregressive integrated moving average (SARIMA), seasonal autoregressive integrated moving average with an exogenous input (SARIMA-X) and an ...
Alade, Sarah O., Doguwa, Sani I.
core
The Declining Share of Agricultural Employment in the People\u27s Republic of China: How Fast? [PDF]
, 2014 From 1962 to 2013, the People’s Republic of China’s (PRC’s) agricultural employment share declined from 82% to 31%. The transfer of workers out of low-productivity agriculture is a fundamental pillar of the PRC’s aspirations to progress and eventually ...
Dacuycuy, Connie +2 more
core +3 more sources
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Predictive analytics in accounting: Using regression models to forecast financial outcomes
Alexandria Engineering JournalThis study evaluates and optimizes sales prediction forecasting models through traditional time-series algorithms and machine learning algorithms, with a specific focus on dynamic models instead of static. The research analyzes four different forecasting
I. Elbatal +5 more
doaj +1 more source