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In this article we estimate the level of Control of Corruption for 193 countries in the period 2011-2020 using data from the ESG World Bank Database. Various econometric techniques are applied i.e.: Panel Data with Random Effects, Panel Data with Fixed Effects, Pooled OLS, WLS. Results show that “Control of Corruption” is positively associated, among others, to “Government Effectiveness” and “Political Stability and Absence of Violence/Terrorism”, while it is negatively associated among others to “Agriculture, Forestry, and Fishing Value Added as Percentage of GDP” and “GHG Net Emissions/Removals by LUCF”. A cluster analysis implemented with the k-Means algorithm optimized with the Elbow Method shows four clusters. A confrontation among eight Machine Learning algorithms is proposed for the prediction of Control of Corruption. Polynomial Regression is the best predictor for the training data. The level of Control of Corruption is expected to growth by 10.36% on average.

In the context of SARS-CoV-2 crises, the phenomenological studies analyze the market phenomenon of People’s Republic of China (PRC) in public health. With PRC’s diplomatic behaviors around the national, international, and global public health crises, the phenomenological occurrence was further questioned into on accounts of genetic engineering, PRC’s top-down behaviors, and financial and non-financial incentives in public health inequality with its declared universal healthcare coverage. The phenomenological studies further the evidence chains on the PRC governmental bodies’ purposeful and intentional crimes against humanity, with the public health system they designed to hide criminal evidences in the clinical evidence chains. Albeit it is paramount for the medical professionals to prepare for a certain but unforeseeable surge of biomedical intrusion, the phenomenological studies call for military interventions on the humanitarian catastrophe that have twice in three years caused unnecessary sufferings regionally and globally. Without it, the world can only wait to detect Chinese passengers’ carriers instead of obtaining firsthand data, potentially leading to more deaths and mutation risks. Only peace-building and government reformation on democratic basis in the region can solve the humanitarian crisis once and for all.

Did the Covid-19 pandemic have an impact on innovation? Past economic disruptions, anecdotal evidence, and the previous literature suggest a decline with substantial differences between industries. We leverage USPTO patent application data to investigate and quantify the disturbance. We assess differences by field of technology (at the CPC subclass level) as well as the impact of direct and indirect relevance for the management of the pandemic. Direct Covid-19 relevance is identified from a keyword search of the patent application fulltexts; indirect Covid-19 relevance is derived from past CPC subclass to subclass citation patterns. We find that direct Covid-19 relevance is associated with a strong boost to the growth of the number of patent applications in the first year of the pandemic at the same order of magnitude (in percentage points) as the percentage of patents referencing Covid-19. We find no effect for indirect Covid-19 relevance, indicating a focus on applied research at the expense of more basic research. Fields of technology (CPC mainsections) have an additional significant impact, with, e.g., mainsections A (human necessities) and C (chemistry, metallurgy) having a strong performance.

We study the co-movement in international zero-coupon government bond yields using a recently proposed methodology by \cite{Choi2018} and \cite{Choi2021} for the estimation of multilevel factor models. We employ a readily available non-proprietary dataset coupled with open-source code which facilitates reproduction of the results but also comparability with the existing bibliography. The ten countries dataset is cross-sectionally expanded to eleven countries with newly constructed data series on the term structure of Greek constant-maturity, government zero-coupon bond rates. We find that the country pair US-Germany is most suitable as an initial candidate for global factor estimation. We confirm that three global factors account for most of the variation in zero-coupon bond yields leaving a small proportion to be (contemporaneously) explained by local factors. Global inflation and global real activity are related to the global level and slope factors. The third global factor, ``curvature'', is strongly related to economic/financial uncertainty linked to systemic risk stemming from the US financial markets.

Digitalization is an essential element for the development of today’s society, in the context of actual geo-political challenges. Moreover, the COVID-19 pandemic has accelerated the process of digitalization, offering new perspectives on sustainable and inclusive development. From the point of view of the regional approach, digitalization can have an important impact on the level of territorial development and on the reduction of economic and social inequalities. This paper proposes to identify the relationship between a series of indicators specific to digitization and regional GDP, with the help of panel models. The objective of the research is to estimate the relationship between GDP and two indicators specific to digitalization: online commerce and broadband internet infrastructure, the level of the eight development regions in Romania. Dependency modelling, based on econometric equations, offers the possibility of highlighting the way in which the two indicators of the digital economy contribute to the growth of GDP per capita. This analysis aims to illustrate the fact that broadband technologies and the increase in the number of people using the Internet for commercial purposes can have a positive impact on the growth of the regional economy. The results of the analysis highlighted the direct relationship of the indicators between the three variables related to the digitalization process at the level of Romania’s regions and the strong influence of broadband internet and online trade on GDP per capita, proving that any growth among independent variables will lead to an increase amongst the dependent variables.

In this article we investigate the role of “Renewable Energy Consumption” in the context of Circular Economy. We use data from the World Bank for 193 countries in the period 2011-2020. We perform several econometric techniques i.e., Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS. Our results show that “Renewable Energy Consumption” is positively associated among others to “Cooling Degree Days” and “Adjusted savings: net forest depletion” and negatively associated among others to “GHG net emissions/removals by LUCF” and “Mean Drought Index”. Furthermore, we perform a cluster analysis with the application of the k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of two clusters. Finally, we compare eight different machine learning algorithms to predict the value of Renewable Energy Consumption. Our results show that the Polynomial Regression is the best algorithm in the sense of prediction and that on average the renewable energy consumption is expected to growth of 2.61%.

A sequential truel is a generalisation of duel. This type of games is known because of the «survival of the weakest» paradox, where weakest player have the highest probability of survival. We analyse a typical variation of this model, in which players are allowed to shoot in the air. We show that there exists a SPE-equilibrium, where the strongest player, against the paradox statement, has the highest probability of survival.

Economic growth and development of the nation as a whole is greatly influenced by the development and growth of the data centers. At both a national and international level, data centers contribute to the growth of the economy for the benefit of citizens. The result of this is that governments are able to increase their competitiveness, ease of doing business, contribute to the growth of their economies, and attract investors to their countries, as a result of this. Data centers are widely used and re-used throughout the economy, which highlights the importance of data as a new form of capital for 21st century knowledge driven economies, and more specifically, the re-use of data centers within the economy, which highlights the importance of data as a new form of capital for 21st century knowledge driven economies. The fact that data centers are capable of being re-used for a theoretically unlimited range of purposes means that they cannot be depleted at all because they can never run out of use. In the event that data centers are repurposed for the purpose of generating opportunities for growth, or generating benefits for society on a large scale that could not have been imagined when the data centers were first created, then the result may be positive spill-over effects. Governments can enhance their reputation by investing in Data Centers and initiatives but they can also be able to drive innovation across the economy by taking data-driven decisions that enhance their reputation as well. By making data available as well as sharing it, spillover benefits may also be created, since the availability and sharing of data may enable "super-additive" insights that may be greater than the sum of insights derived from isolated parts (data silos), allowing data to be used more efficiently.

Generally speaking, sustainable procurement means buying supplies that the company needs to manufacture and/or sell products in a sustainable manner, while maintaining a balance between management efficiency and the adoption of sustainable practices to reduce the company's environmental footprint. When it comes to complying with the environmental and social legislations and regulations relevant to their industry, an organization can leverage technology to enable compliance management to help them address a number of issues. In case of socially responsible, environmentally friendly suppliers that are certified by sustainable rating organizations and have green compliance certifications, the system will be able to assist suppliers in quickly identifying them. A close eye should be kept on the reputation of our suppliers, especially if it comes to any unethical practices that they may engage in, such as child labor, raising our carbon footprint, producing hazardous wastes, etc., that they might be engaging in. A key point that should be taken into account is that it is more likely that for many corporations, the footprint and the value associated with it related to sustainability will be found in the supply chain rather than in any operations that are controlled directly by the corporation itself. Increasingly, the public is demanding that the promises made by the government should be kept. In order to ensure that the company is able to deliver on its commitments to sustainable performance, leaders must be able to extract and manage the increased innovation coming from suppliers as well as employees. In this paper, we explore how regulations, rising energy costs, and consumer concerns about ethical business practices are driving corporations in many sectors to look at sustainable procurement as a way to reduce costs and increase the value they are putting into their business practices as a whole. According to this research, leading countries and businesses are benefiting from sustainable procurement practices as a result of a more sustainable approach to procurement. The reason for this is that a sustainable approach to procurement can lead to lower costs, reduced risk levels, and increased stakeholder value, as well as a wider range of innovative products and pricing options.

There are many tools and techniques that are effectively deployed in managing organizational knowledge. In this brief paper, we delineate some of the tools of organizational knowledge management. We believe that the practice of knowledge management is itself a tool and an efficient technique for organizing organizational knowledge more effectively. On this regard, this paper contributes to our further understanding of what organizational knowledge is, and how they should be proficiently managed that would contribute to organizational success.