Background: Bitcoin mining, an energy-intensive process, requires significant amounts of electricity, which results in a particularly high carbon footprint from mining operations. In the Republic of Kazakhstan, where a substantial portion of electricity is generated from coal-fired power plants, the carbon footprint of mining operations is particularly high. This article examines the scale of energy consumption by mining farms, assesses their share in the country’s total electricity consumption, and analyzes the carbon footprint associated with bitcoin mining. A comparative analysis with other sectors of the economy, including transportation and industry is provided, along with possible measures to reduce the environmental impact of mining operations. Materials and methods: To assess the impact of bitcoin mining on the carbon footprint in Kazakhstan, electricity consumption from 2016 to 2023, provided by the Bureau of National Statistics of the Republic of Kazakhstan, was used. Data on electricity production from various types of power plants was also analyzed. The Life Cycle Assessment (LCA) methodology was used to analyze the environmental performance of energy systems. CO₂ emissions were estimated based on emission factors for various energy sources. Results: The total electricity consumption in Kazakhstan increased from 74,502 GWh in 2016 to 115,067.6 GWh in 2023. The industrial sector’s electricity consumption remained relatively stable over this period. The consumption by mining farms amounted to 10,346 GWh in 2021. A comparative analysis of CO₂ emissions showed that bitcoin mining has a higher carbon footprint compared to electricity generation from renewable sources, as well as oil refining and car manufacturing. Conclusions: Bitcoin mining has a significant negative impact on the environment of the Republic of Kazakhstan due to high electricity consumption and resulting carbon dioxide emissions. Measures are needed to transition to sustainable energy sources and improve energy efficiency to reduce the environmental footprint of cryptocurrency mining activities.

Strategically managing production systems is crucial for creating value and enhancing the competitive capabilities of companies. However, research on organizational culture within these systems is scarce, particularly in the Colombian context. This research aims to evaluate cultural profiles and their impact on the performance of production systems in Colombian firms. The regional focus is vital as cultural and contextual factors can vary significantly between regions, influencing organizational behavior and performance outcomes. To achieve this, we make a study in a sample of Colombian companies, with participation from working students of the Universidad Nacional Abierta y a Distancia (UNAD). We used a data analytics approach to collected data. The results will be relevant to both the scientific community and business practitioners. This research seeks to determine whether the perception of the work environment within a company influences the perceived performance of the company. The findings will provide a deeper understanding of the relationship between organizational culture and production system performance, offering a foundation for business decision-making and enhancing competitiveness in Latin American context.

Food security presents a complex challenge that spans multiple sectors and levels, involving diverse stakeholders. Such a challenge necessitates collaborative efforts and the creation of shared value among participants. Through the lens of service-dominant logic (S-D logic), food security can be redefined to achieve a more comprehensive understanding and sheds light on the dynamic interplay among stakeholders, enabling the realization of potential value co-creation. As a theoretical contribution, this research addresses the gap in explaining stakeholder interactions. This aspect is crucial for fostering collaboration, and the study accomplishes this by leveraging Social Network Analysis to identify clusters and assign them roles as sub-orchestrators to support the National Food Agency as the main orchestrator who responsible to implement co-creation management strategy (involvement, curation, and empowerment). The study also proposes stakeholder roles in the context of food security: regulator, operator, dominator, niche player, and supporter. Moreover, the practical significance of this research is highly relevant to the early stages of the National Food Agency (NFA) since its establishment in 2021. As the NFA seeks optimal structure, networks, and resources to enhance Indonesia’s existing food system, the study offers valuable insights. This comprehensive study highlights key issues in developing food security in Indonesia and provides recommendations for overcoming future challenges.

The study’s objectives are to investigate the relationships between earnings management, government ownership, and corporate performance in the Gulf Cooperation Council (GCC) region during the period 2017–2021, utilizing a dataset comprising 188 companies. It further explores the moderating role of government ownership in the association between earnings management and company performance. The study used the panel regression data analysis to investigate the relationship between the variables under the study. Employing linear regression and moderated linear regression, the research discerns notable patterns. The result shows a positive effect emerges between government ownership and corporate performance. Conversely, the result shows a negative association is observed between earnings management and corporate performance. Finally, the moderating role of government ownership in GCC countries is a good governance mechanism to mitigate the agency problem.

China established pilot carbon markets in 2013. In 2020, it set targets for carbon peaking in 2030 and carbon neutrality by 2050. China’s national carbon market officially commenced operations in 2021. Based on the national market and seven pilot markets, this study established the factors influencing carbon trading prices by examining market participants, macroeconomics, energy prices, carbon prices in other markets, etc. Asymmetrical development among the seven pilot cities, for which the study employed a mixed-effects model, was the primary factor impacting carbon prices. The carbon prices in the pilot cities cannot be extrapolated to the entire country. In the national carbon market, where the study employed a multiple regression lag model, the SSE index was positively correlated with carbon prices, whereas the Dow Jones index had no significant effect on carbon prices in terms of macroeconomics. Coal and natural gas prices were negatively correlated with carbon prices, whereas oil prices were positively correlated with energy prices. The EU market prices have a positive correlation with prices in other markets. The significance of this study is that it covers the largest national Emissions Trading System (ETS) in the world and allows for comparing the characteristics of the Chinese market with those of other ETS markets. Additional studies, including more sectors, should be conducted as China’s ETS coverage increases.