Results 151 to 160 of about 1,132,300 (292)
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
The essence of the definition of "financial derivative" and their circulation on the stock market
Naukovij Vìsnik Nacìonalʹnogo Unìversitetu Bìoresursìv ì Prirodokoristuvannâ Ukraïni. Serìâ: Ekonomìka, Agrarnij Menedžment ta Bìznes, 2018 The scientific essence of the definition "financial derivative" is defined, their classification is given, both in domestic and world practice. The comparative description of the volume of stock exchange contracts with securities on the stock exchange ...
A. Kravchenko
doaj
Stock Market Development and Economic Growth: A Matter of Information Dynamics [PDF]
The aim of this paper is to provide further insights into the linkages between stock market development and economic growth. When it is not possible to distinguish between investment projects with different rates of return, market valuation of those ...
Salvatore Capasso
core
When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis
Agribusiness, EarlyView.ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang +3 more
wiley +1 more source
Econometrics of the Effects of Stock Market Development on Growth and Private Investment in Lower Income Countries [PDF]
Recent literature suggests that stock market liberalisation has positive effects on macroeconomic growth and private investment. However, econometric relations are largely dependent on the inclusion of higher income countries in such samples, which quite
J Benson Durham
core
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
Stock market development under globalization : whither the gains from reforms ? [PDF]
Over the past decades, many countries have implemented significant reforms to foster domestic capital market development. These reforms included stock market liberalization, privatization programs, and the establishment of regulatory and supervisory ...
de la Torre, Augusto +2 more
core
AIChE Journal, EarlyView.Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Does Stock Market Development Raise Economic Growth? Evidence from Nigeria [PDF]
This paper investigates whether stock market development raises economic growth in Nigeria, by employing the error correction approach. The econometric results indicate that stock market development (market capitalization-GDP ratio) increases economic ...
Abu Nurudeen
core
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source