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Financialization and Innovation of Chinese Listed Firms: An Empirical Appraisal
Full text linkThis article thoroughly examines the links between financialization and innovation activities of a sample of 312 publicly listed Chinese firms for the period 2000-2023, encompassing the crucial post-pandemic recovery phase. We utilize various panel models, including fixed effects, random effects, and dynamic estimations across different periods and financial contexts. According to our research, financialization has a negative impact on firms’ innovation rates. It harms financially constrained firms more strongly, and its impact increases over time, starting at -0.08 in the 2000-2010 period and reaching -0.22 in the 2016-2023 period. Our findings offer policy recommendations that could help mitigate the adverse effects of growing financialization on the innovation of Chinese firms
Energy Transition and Economic Resilience in Europe: Challenges and Opportunities in the Post-Ukraine War Era
Full text linkThis paper examines the interconnection between Europe’s energy transition and its economic resilience in the aftermath of the Ukraine war. The disruption of fossil fuel supplies revealed structural vulnerabilities in European energy markets, accelerating the urgency of diversifying energy sources and investing in renewable technologies. The study synthesizes key challenges—such as supply chain disruptions, insufficient investment, and regulatory barriers—while also identifying growth opportunities in technological innovation, shifting market dynamics, and public-private partnerships. A resilience framework is proposed, emphasizing indicators like supply security, price stability, and market flexibility. Case studies from Germany, France, and Scandinavia illustrate contrasting pathways to resilience through different policy choices and energy mixes. Findings suggest that while the transition enhances long-term resilience, short-term economic vulnerabilities persist due to inflated costs, political uncertainties, and uneven regulatory landscapes. The paper concludes that Europe’s ability to reconcile the pace of transition with economic stability will determine its success in achieving climate neutrality and energy security by 2050
Digital Transformation in the European Union Countries Member of G7 - An Analytical Study-
Full text linkThis study aims to determine the status of digital transformation in the European Union (EU) countries that are members of the Group of Seven (G7). This study focuses on analyzing statistical data issued by a European statistical agency (Eurostat). To detail the aspects of the study, we use the deductive method to describe the theoretical concepts related to digital transformation in addition to the inductive method to explain the data related to digital transformation in the EU countries that are members of the G7. The study found that Germany is ahead of France and Italy in all digital transformation technologies as well as allocating more budgets and training programs for employee training than France and Italy
The Role of Energy Policy in the Post-Crisis European Industrial Strategy (Ukraine, COVID-19)
Full text link The European Union’s industrial landscape has undergone profound transformations in response to the COVID-19 pandemic and the energy crisis triggered by the war in Ukraine. This study investigates the evolving role of energy policy as a central pillar of the EU's post-crisis industrial strategy. By integrating data from Eurostat, ECB, OECD, IMF, and World Bank, alongside peer-reviewed literature from Scopus and Web of Science databases, the research employs a mixed-methods approach combining quantitative trend analysis with qualitative policy evaluation.
Findings reveal a decisive shift toward strategic autonomy in energy, as evidenced by declining energy import dependency and increased renewable energy deployment. However, this transition demands substantial investment—estimated at up to 3.7% of EU GDP annually—and exposes short-term vulnerabilities in traditional manufacturing sectors. While carbon pricing and energy efficiency initiatives enhance long-term competitiveness, the lack of coordination in state aid and industrial policy poses risks to market integration and cohesion.
The study underscores the necessity of aligning energy, industrial, and financial policies under a unified strategic framework. It concludes that a resilient, green, and competitive European industry requires harmonized governance, targeted investment tools, and an inclusive approach to transition planning
Studying the impact of the Green Deal on the EU economy using Gradient Boosting Algorithm
Full text link This study aims to assess the impact of the European Green Deal on the EU economy by employing a Gradient Boosting Algorithm to analyze the influence of various environmental policies. The study utilizes simulated monthly data derived from annual statistics provided by official sources such as the IEA, Eurostat, ILO, and the European Commission. A machine learning model—Gradient Boosting—is implemented to examine the predictive relationships between economic indicators such as environmental taxes, green infrastructure investment, renewable energy, and green employment on industrial output. Results indicate that environmental taxes are the most influential factor affecting industrial performance, followed by green infrastructure and renewable energy investment. Green innovation funding and green employment show lesser impact. The Gradient Boosting model demonstrates strong predictive accuracy with an R² score of 0.930. Policymakers should consider balancing fiscal regulations with incentive-based green investment strategies. Greater support for green innovation and employment training is essential to enhance long-term sustainability
Threats and Vulnerabilities of the Banking System to Money Laundering in the Arab Maghreb: Lessons from a Regional Sectoral Assessment
Full text linkThis research paper conducts a sectoral assessment of the threats and vulnerabilities faced by the banking systems of the Arab Maghreb—specifically Algeria, Tunisia, Morocco, Libya, and Mauritania—regarding money laundering and terrorist financing. The main objective is to identify and compare structural and operational weaknesses across the region’s banking sectors, with a focus on internal controls, regulatory compliance, and the effectiveness of supervisory frameworks. The study hypothesizes that institutional fragmentation, inconsistent supervision, and insufficient risk management contribute significantly to these vulnerabilities. Methodologically, the research employs a qualitative comparative approach, drawing on national sectoral risk assessments, semi-structured interviews with stakeholders, and a review of regulatory and institutional frameworks, structured around the Financial Action Task Force (FATF) methodology. Key findings reveal a moderately high level of vulnerability within the Maghreb banking sector, driven by deficiencies in beneficial ownership identification, inconsistent regulatory enforcement, limited technological and analytical capacity, and insufficient staff training. High-risk areas include large-scale cash transactions, politically exposed persons, real estate, and the use of digital and crypto-asset channels. The study also highlights the impact of the informal economy, transnational organized crime, and weak trade oversight as external risk factors. Notably, the risk-based approach (RBA) has yet to be fully institutionalized, and supervision remains largely compliance-based rather than risk-sensitive.The implications of these findings underscore the urgency of strengthening internal controls, adopting advanced technological solutions, enhancing staff training, and modernizing regulatory frameworks in line with international standards. Recommendations emphasize the need for improved inter-authority coordination, adoption of risk-based supervision, and greater regional and international cooperation to mitigate evolving money laundering and terrorist financing threats. The research concludes that aligning Maghreb banking systems with global best practices is essential for enhancing financial integrity and resilience
Economics & 5IR model: Towards a competitive and sustainable economic path
Full text link The objectives of this study are to identify the 5I- revolution in terms of the concepts and the main pillars on which it is based, in addition to pointing out the fundamental differences between the previous industrial revolutions. To achieve these objectives, a descriptive method is employed with its analytical tools. The findings revealed that, there is a direct impact on the economy as a key through the development of productivity (smart production) based on technology and data in design. Besides, accessing the sustainability model, human resources and machine and achieving sustainable economic growth are important features in building a smart economy. To sum up, The 5.0 is key to the global economy, it is suggested to develop human resources (smart HR), use of automation in the economy (operations & process) and achieve integration between Sustainability & HR
Climate Change and Rural Livelihoods Vulnerability Assessment of Sudan and Nigeria
Full text linkThis paper focuses on climate change vulnerability and its impact on rural livelihoods in Nigeria and Sudan, utilizing the Sustainable Livelihoods Approach (SLA) to analyze selected environmental, economic and social factors that affect agricultural productivity and social wellbeing. Utilizing a quantitative research design which bases itself on a positivist paradigm, the research investigates secondary data from the period of 2000 to 2023 sourced from World Bank and applies Fully Modified Ordinary Least Squares (FMOLS) technique preventing serial correlation and endogeneity with mixed integration orders. The study establishes that climate change vulnerability along with the impacts, especially in Nigeria and Sudan, exacerbates livelihood insecurity, thus highlighting the importance of climate-resilient practices such as using drought-tolerant crops, agroforestry, sustainable land management, and clean energy technologies like solar water pumping and rural electrification. Potential suggestions include strengthening measures of social inclusion, developing environmentally friendly forms of financing, and improving disaster preparedness to mitigate climate shocks. Indeed, the research’s reliance on quantitative data to establish clear numerical patterns stresses that future works need to address the qualitative knowledge gap, diversify the geographical setting and discuss community-level adaptation initiatives while offering the strategy for the development of sustainable livelihoods affected by climate change
Modelling the costs of natural disasters in indonesia: A Monte Carlo simulations
Full text linkThis research investigates the economic impact of natural disasters on a national scale and explores how this impact can be reduced through various mitigation and adaptation strategies.Utilizing Indonesia as a case study, probabilistic models and Monte Carlo simulations were employed to predict future losses from earthquakes, floods and wildfires. This methodological approach mirrored risk assessment practices leveraging historical disaster data to accurately reproduce past loss patterns in specific regions. JMP statistical software facilitated the comprehensive analysis, generating robust estimates designed to empower policymakers in implementing effective measures for minimizing economic disruption. The findings and subsequent discussions analyse these strategies to identify various approaches that can be employed to reduce the financial burden imposed by natural disasters
A Bibliometric Perspective on the Relationship Between Artificial Intelligence and Digital Culture
Full text linkThis study presents a bibliometric analysis of global research at the intersection of artificial intelligence and digital culture (2015–2025). It draws on 489 Scopus-indexed studies and follows the PRISMA framework. Findings show substantial growth during (2021–2024), with the United States leading output and robust international collaboration networks. The analysis confirms the centrality of artificial intelligence and the emergence of interconnected themes, underscoring the field’s interdisciplinary nature and the need for greater attention to its ethical, educational, and cultural dimensions