English
Related papers

Related papers: Mapping Global Value Chains at the Product Level

200 papers

Understanding the business cycle is crucial for building economic stability, guiding business planning, and informing investment decisions. The business cycle refers to the recurring pattern of expansion and contraction in economic activity…

Machine Learning · Computer Science 2024-06-17 Elvys Linhares Pontes , Mohamed Benjannet , Raymond Yung

Modern macroeconomic theories were unable to foresee the last Great Recession and could neither predict its prolonged duration nor the recovery rate. They are based on supply-demand equilibria that do not exist during recessionary shocks.…

General Economics · Economics 2019-06-19 Peter Klimek , Sebastian Poledna , Stefan Thurner

A country's mix of products predicts its subsequent pattern of diversification and economic growth. But does this product mix also predict income inequality? Here we combine methods from econometrics, network science, and economic…

Economics · Quantitative Finance 2017-01-31 D. Hartmann , M. R. Guevara , C. Jara-Figueroa , M. Aristaran , C. A. Hidalgo

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus…

The Covid-19 pandemic drastically emphasized the fragility of national and international supply networks (SNs),leading to significant supply shortages of essential goods for people, such as food and medical equipment. Severe disruptions…

Machine learning is disruptive. At the same time, machine learning can only succeed by collaboration among many parties in multiple steps naturally as pipelines in an eco-system, such as collecting data for possible machine learning…

Machine Learning · Computer Science 2021-08-19 Zicun Cong , Xuan Luo , Pei Jian , Feida Zhu , Yong Zhang

Jointly modeling and forecasting economic and financial variables across a large set of countries has long been a significant challenge. Two primary approaches have been utilized to address this issue: the vector autoregressive model with…

Machine Learning · Statistics 2025-03-12 Sanyou Wu , Dan Yang , Yan Xu , Long Feng

Predicting the future evolution of complex systems is one of the main challenges in complexity science. Based on a current snapshot of a network, link prediction algorithms aim to predict its future evolution. We apply here link prediction…

Physics and Society · Physics 2015-11-18 Alexandre Vidmer , An Zeng , Matúš Medo , Yi-Cheng Zhang

The global shipping network, which moves over 80% of the world's goods, is not only a vital backbone of the global economy but also one of the most polluting industries. Studying how this network operates is crucial for improving its…

Russia's attack on Ukraine on Thursday 24 February 2022 hitched financial markets and the increased geopolitical crisis. In this paper, we select some main economic indexes, such as Gold, Oil (WTI), NDAQ, and known currency which are…

Statistical Finance · Quantitative Finance 2022-03-04 Javad T. Firouzjaee , Pouriya Khaliliyan

In the context of global trade, cross-border commodity pricing largely determines the competitiveness and market share of businesses. However, existing methodologies often prove inadequate, as they lack the agility and precision required to…

Machine Learning · Computer Science 2024-08-23 Lijuan Wang , Yijia Hu , Yan Zhou

Studying competition and market structure at the product level instead of brand level can provide firms with insights on cannibalization and product line optimization. However, it is computationally challenging to analyze product-level…

Machine Learning · Computer Science 2020-05-22 Fanglin Chen , Xiao Liu , Davide Proserpio , Isamar Troncoso , Feiyu Xiong

Recurrent or ephemeral water shortages are a crucial global challenge, in particular because of their impacts on food production. The global character of this challenge is reflected in the trade among nations of virtual water, i.e. the…

Geophysics · Physics 2012-07-11 S. Suweis , M. Konar , C. Dalin , N. Hanasaki , A. Rinaldo , I. Rodriguez-Iturbe

The Ricardian model of world trade based on comparative advantage is not sufficient to justify equal trade relations.The existing model of trade relations does not explain the distribution of income among trading countries. This paper…

Trading and Market Microstructure · Quantitative Finance 2025-05-12 N. S. Gonchar , O. P. Dovzhyk , A. S. Zhokhin , W. H. Kozyrsky , A. P. Makhort

Product attribute values are essential in many e-commerce scenarios, such as customer service robots, product recommendations, and product retrieval. While in the real world, the attribute values of a product are usually incomplete and vary…

Computation and Language · Computer Science 2020-09-16 Tiangang Zhu , Yue Wang , Haoran Li , Youzheng Wu , Xiaodong He , Bowen Zhou

Input-Output analysis describes the dependence of production, demand and trade between sectors and regions and allows to understand the propagation of economic shocks through economic networks. A central challenge in practical applications…

Physics and Society · Physics 2020-04-21 Chengyuan Han , Johannes Többen , Wilhelm Kuckshinrichs , Malte Schröder , Dirk Witthaut

Corporate insolvency can have a devastating effect on the economy. With an increasing number of companies making expansion overseas to capitalize on foreign resources, a multinational corporate bankruptcy can disrupt the world's financial…

Statistical Finance · Quantitative Finance 2018-02-16 Jacky C. K. Chow

Much of the analysis of economic growth has focused on the study of aggregate output. Here, we deviate from this tradition and look instead at the structure of output embodied in the network connecting countries to the products that they…

General Finance · Quantitative Finance 2012-03-02 Ricardo Hausmann , Cesar A. Hidalgo

The goal of product mapping is to decide, whether two listings from two different e-shops describe the same products. Existing datasets of matching and non-matching pairs of products, however, often suffer from incomplete product…

Machine Learning · Computer Science 2023-09-14 Kateřina Macková , Martin Pilát

This paper is concerned with upstreamness and downstreamness of industries and countries. Upstreamness and downstreamness measure respectively the average distance of an industrial sector from final consumption and from primary inputs.…

Applications · Statistics 2025-03-10 Silvia Bartolucci , Fabio Caccioli , Francesco Caravelli , Pierpaolo Vivo