Results 11 to 20 of about 1,692 (96)

China's Economic Forecast Based on Machine Learning and Quantitative Easing. [PDF]

Comput Intell Neurosci, 2022
In this paper, six variables, including export value, real exchange rate, Chinese GDP, and US IPI, and their seasonal variables, are used as determinants to model and forecast China’s export value to the US using three methods: BP neural network, ARIMA, and AR‐GARCH.
Qiu C.
europepmc   +2 more sources

Non‐standard Employment and Rent‐sharing

Economica, Volume 90, Issue 357, Page 178-211, January 2023., 2023
In this paper, we analyse how non‐standard (or non‐regular) employment affects the capacity of regular workers to appropriate rents. In this context, we first extend the theoretical framework of Estevão and Tevlin to account for the heterogeneity of labour (regular and non‐regular workers).
Kyoji Fukao, Cristiano Perugini, Fabrizio Pompei   +2 more
wiley   +1 more source

[Retracted] A Study of the Spatial Effects of Financial Support and Economic Growth under Optimal Control of Nonlinear Generalized Complex Systems

Discrete Dynamics in Nature and Society, Volume 2022, Issue 1, 2022., 2022
This paper provides an in‐depth analysis and study of the spatial effects of financial support and economic growth with the help of nonlinear generalized complex systems. Taking the industrial sector as the research object and combining the relevant contents of neoclassical investment theory, information economics, and institutional economics, this ...
Xuexue Tang, Gengxin Sun
wiley   +1 more source

A Lead‐Lag Relationship and Forecast Research between China’s Crude Oil Futures and Spot Markets

Complexity, Volume 2022, Issue 1, 2022., 2022
The integration of the global economy has led to an increasingly strong connection between the futures and spot markets of commodities. First, based on one‐minute high‐frequency prices, this paper applies the thermal optimal path (TOP) method to examine the lead‐lag relationship between Chinese crude oil futures and spot from March 2018 to December ...
Chi Zhang, Dandan Pan, Mingyan Yang, Zhengning Pu, Paulo Jorge Silveira Ferreira   +4 more
wiley   +1 more source

[Retracted] Financial Development and Carbon Emissions: Analyzing the Role of Financial Risk, Renewable Energy Electricity, and Human Capital for China

Discrete Dynamics in Nature and Society, Volume 2021, Issue 1, 2021., 2021
This study introduces the role of financial risk index and renewable energy electricity output along with financial development and human capital as new determinants of carbon emissions and uses updated time‐series data from 1988–2018 for China, employing novel econometric approaches, i.e., Narayan and Popp unit root test with structural breaks, Maki ...
Yiping Guo, Ahmed Farouk
wiley   +1 more source

Limited life cycle and cost assessment for the bioconversion of lignin‐derived aromatics into adipic acid

Biotechnology and Bioengineering, Volume 117, Issue 5, Page 1381-1393, May 2020., 2020
A fast‐pyrolysis process using softwood lignin resulting in a two‐phase bio‐oil was applied. Van Duuren and co‐workers have shown that after steam bath distillation, Pseudomonas putida KT2440‐BN6 achieved a percent yield of cis, cis‐muconic acid of up to 95 mol% from catechol derived from the aqueous phase.
Jozef B. J. H. van Duuren, Paul J. de Wild, Sören Starck, Christian Bradtmöller, Mirjam Selzer, Kerstin Mehlmann, Roland Schneider, Michael Kohlstedt, Ignacio Poblete‐Castro, Jessica Stolzenberger, Nadja Barton, Michel Fritz, Stephan Scholl, Joachim Venus, Christoph Wittmann   +14 more
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Effects of Green Finance on Economic Growth and Renewable Energy in Developing Countries: A Panel Cointegration Analysis

Natural Resources Forum, EarlyView.
ABSTRACT This empirical study examines the impact of green finance on economic growth and renewable energy in a group of 76 developing nations in 2010–2019. Results from a cointegration analysis, vector error correction model, and Granger causality test confirm a cointegrating relationship between green finance, renewable energy, economic growth, and ...
Xuan‐Hoa Nghiem, Walid Bakry, Girijasankar Mallik   +2 more
wiley   +1 more source

Brain Drain and Productivity Growth: Evidence From South Africa, 1947–2019

Economics of Transition and Institutional Change, EarlyView.
ABSTRACT This paper provides empirical evidence of how high‐level human capital outflow could affect TFP‐based economic development and vice versa. The concern of potential endogeneity between brain drain and economic development is addressed directly.
Johannes Fedderke, Xiaodi Dong
wiley   +1 more source

Forty Years of Empirical Evidence of Cointegration and Nonlinear Equilibrium Correction in UK Money Demand Since the XIXth Century

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT Since the seminal contributions of Friedman and Schwartz and of Hendry and Ericsson, instability in money demand has remained a central issue in the literature. This study broadens and generalizes the first evidence for the United Kingdom of stable long‐ and short‐run broad money demand extending back to the nineteenth century. Using nonlinear
Álvaro Escribano, Juan‐Andrés Rodríguez, Miguel A. Arranz   +2 more
wiley   +1 more source