AIMC Topic: Economic Development

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The role of foreign technologies and R&D in innovation processes within catching-up CEE countries.

PloS one
Prior research showed that there is a growing consensus among researchers, which point out a key role of external knowledge sources such as external R&D and technologies in enhancing firms“ innovation. However, firms“ from catching-up Central and Eas...

Dynamics of fractional order nonlinear system: A realistic perception with neutrosophic fuzzy number and Allee effect.

Journal of advanced research
INTRODUCTION: The fusion of fractional order differential equations and fuzzy numbers has been widely used in modelling different engineering and applied sciences problems. In addition to these, the Allee effect, which is of high importance in field ...

Forecasting carbon dioxide emissions based on a hybrid of mixed data sampling regression model and back propagation neural network in the USA.

Environmental science and pollution research international
The accurate forecast of carbon dioxide emissions is critical for policy makers to take proper measures to establish a low carbon society. This paper discusses a hybrid of the mixed data sampling (MIDAS) regression model and BP (back propagation) neu...

Biological standards for the Knowledge-Based BioEconomy: What is at stake.

New biotechnology
The contribution of life sciences to the Knowledge-Based Bioeconomy (KBBE) asks for the transition of contemporary, gene-based biotechnology from being a trial-and-error endeavour to becoming an authentic branch of engineering. One requisite to this ...

Building efficiency: How the national AI innovation pilot zones enhance green energy utilization? Evidence from China.

Journal of environmental management
Improving energy efficiency is a pivotal strategy for achieving energy conservation, emission reduction, and green development goals, while also serving as a critical indicator for evaluating high-quality economic growth and sustainable development. ...

Factors and prediction of carbon emissions based on PSO-BP neural network model under the development of digital economy.

PloS one
The Yellow River Economic Belt, where the degree of digital economy development is uneven, is the first research object used in this study. It then suggests a way to measure the degree of digital economy development and carbon emissions in order to a...