Multiple challenges have emerged over the last decades, threatening human, socio-economic and environmental systems. Climate change impacts, degradation of limited natural resources, unsustainable demand, production and consumption practices, diseases, crises in the energy, food and biodiversity...

This study presents a novel approach to assessing food security risks at the national level, employing a probabilistic scenario-based framework that integrates both Shared Socioeco-nomic Pathways (SSP) and Representative Concentration Pathways (RCP). This innovative method allows each scenario,...

The objective of this paper is to elicit stakeholder preferences in relation to different Multiple Use Offshore Platforms (MUOP) designs produced by the TROPOS project (www.troposplatform.eu) for the Liuqiu Island, Taiwan using the Choice Experiment (CE) method. To authors/ acknowledge, this is...

CNMT (Classical Neoclassical Monetary Theory) has defined monetary policy and the role of Central Banks for the last one hundred years. This book argues that it is time to change. It proposes a NMT (New Monetary Theory) which argues that Central Banks should be responsible for the whole relation...

Consumption theory and its optimization mechanism may be applied to the U.S. presidential elections. Based on Clower’s Dual-Decision Hypothesis (DDH), Wu (2017) derived the result showing change in savings is a function of labor income growth. Under DDH, consumers make optimal decision based...

Over time, economic cycles have shaped the labor market, presenting both challenges and opportunities. Artificial intelligence (AI) emerges as a transformative force, promising to redefine job creation while simultaneously addressing sustainability concerns. This exploration investigates into...

With the rapid ascendance of artificial intelligence, the workforce faces an unprecedented transformation, shaping not only the nature of employment but also the very fabric of our economy. This blog post probes into the multifaceted challenges that AI presents to job seekers, alongside the...

While some may view artificial intelligence as a contemporary phenomenon, its roots sink deep into the annals of human ingenuity. Central to the understanding of this domain is the distinction between artificial intelligence (AI) and machine learning (ML). AI manifests as a complex branch of...

We create a large language model with high accuracy to investigate the relatedness between 12 environmental, social, and governance (ESG) topics and more than 2 million news reports. The text match pre-trained transformer (TMPT) with 138,843,049 parameters is built to probe whether and how much...

This study evaluates the efficacy of e-Government initiatives in addressing local governance challenges in Zamboanga City, Philippines. Utilizing a mixed-methods approach, the research examines how digital tools have improved administrative processes and service delivery, identifies key barriers...