In this regard the key factor determining the success of the mining industry is the cost of electricity. By understanding the risks associated with crypto mining industry. The method is based on systemic literature review and bibliometric analysis exploring keyword “bitcoin mining”. This review paper studies 50 papers for the period of 2019–2023. The results propose recommendations for crypto miners. Currently, the results confirm that bitcoin mainly depends on the consumption of inexpensive electricity. Consequently, the bitcoin network predominantly uses energy in regions where it is abundant and cannot be stored or exported. Most miners rely on electricity generated from hydroelectric power plants, geysers and geothermal sources, which are not easy to transport or store. Bitcoin will continue to look for such cost-effective and underutilized energy sources, as mining in urban areas or industrial centers will remain financially unviable. If the price of bitcoin stabilizes and a sufficient number of miners enter the market, it is quite possible that in the near future we may witness a fivefold increase in their energy consumption.

This research delves into the correlation between institutional quality and tourism development in a panel of nine Mediterranean countries within the European Union spanning from 1996 to 2021. The study gauges tourism development by examining tourist arrivals, while considering GDP growth rate, inflation, higher education, environmental quality, and trade as control variables representing factors influencing tourism. Institutional quality is measured through indicators such as regulatory quality, rule of law, and control of corruption. Utilizing Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models, the study aims to quantify the impact of these factors on tourism development. The findings indicate a positive relationship between institutional quality and tourism, shedding light on the pivotal role of institutions in tourism management and their influence on the sector. These results have implications for shaping national development strategies.

This article presents a methodology to perform quality analysis on the cadastral map, based on the tools provided by open (public or free) license geographic information systems (GIS). The errors presented in the cadastral map have a direct impact on the information systems, which can lead to erroneous decisions and to an increase in the costs of maintenance and updating of spatial data. The methodology developed was used and tested by Costa Rica’s Cadastre and Registry Regularization Program; as a product of this program, a continuous cadastral map has been created for Costa Rica, on which cadastral and registry transactions will be processed within the National Registry of Costa Rica. The methodology allows detecting, locating and classifying errors in the cadastral map for easily correcting, so that this map correctly represents the reality of the properties that conform it.

This paper qualitatively analyzes the connotation of woodland welfare and the changes of woodland welfare that may be caused by the transfer of the right to use, and interprets the welfare improvement caused by the transfer of the right to use of woodland in the ideal state by using the relevant theories and models of microeconomics. Based on the prospect theory and psychological account theory of behavioral economics, this paper analyzes the reasons why the transfer of forestland use right has not been carried out on a large scale in China.

Purpose: This study focuses on the effects of electronic-Human Resource Management (e-HRM) on organizational consequences. In this analysis, the effects of different configurations are assessed within the same socio-economic context. Design/Methodology: This study adopts a cross-sectional survey of e-HRM actors, such as human resource managers, IT professionals, and line managers. The data analysis was conducted using linear regression. A sample of 300 respondents was selected based on Gill et al.’s framework for obtaining a representative sample. Findings: ‘Integrated e-HRM configurations’ employed in multinational corporations (MNCs) generate positive and improved operational, relational, and transformational consequences or outcomes. In small-to-medium-sized organizations, the operational-user configuration exhibits positive but lower operational, relational, and transformational consequences. However, the socio-economic variables used to categorize e-HRM configurations do not apply in a developing economy context. Practical implications: The application of information technology in HRM is not the sole predictor of organizational consequences. The sophistication of the adopted e-HRM system deserves some consideration too. When managers adopt sophisticated e-HRM systems, they are likely to achieve positive and improved outcomes. More predictor variables need to be uncovered for an elaborate categorization of effective e-HRM configurations. Originality/value: The contextual factors that define effective e-HRM configurations are not consistent across different socio-economic contexts. Company-based categorization of effective configurations is advisable. This study establishes the limitations of current categorization variables in explaining effective e-HRM systems.