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In this chapter, I analyze the behavior of banks in Chile, Colombia, and Mexico between 2005 and 2014. With data from the regulatory institutions of these countries, I show the influence of their institutions on the performance of banks. The World Bank provides two main datasets that measure the institutional characteristics of each country. Their doing business data set computes the ease of doing business while the governance data set measures the effectiveness of government and the perception that people have of their own governments. The results show that voice and accountability, which is a variable that measures the ability of citizens to select their government and participate in society, has a strong effect in the performance of loans. However, these institutional variables seem to have little effect on the volatility of profits.

The purpose of this chapter is to study the correlation of evolutional and revolutionary transformations in a socio-economic system in the conditions of the formation of an information economy by taking the example of modern Russia.

To distinguish these transformations by studying the information economy, based on the materials of reports and recommendations of the OECD and the World Bank, the indicators that show macro-economic transformations in a socio-economic system in the conditions of formation of an information economy and their control values that correspond to evolutional and revolutionary changes were determined. During the research, the authors used the method of comparative analysis for comparing the values of the indicators in modern Russia with the control values of the indicators that show macro-economic transformations in the socio-economic system in the conditions of the formation of an information economy and classify the corresponding transformations as evolutional and revolutionary. The information and analytical basis includes the materials of the reports of the Higher School of Economics, the OECD, the World Bank, the International Telecommunication Union, the World Wide Web Foundation, the Digital single market, the INSEAD, the WIPO, and the Cornell University.

As a result, it is concluded that the planned transformations in a socio-economic system in the conditions of formation of information economy by implementating the optimization model of this process have an evolutional characteristic. Herein, certain transformations have a revolutionary nature.

The authors determine that the largest revolutionary transformations are due for 2022–2025. However, their classification is caused not by high rate of growth of the indicators’ values but by their achievement of control values. Therefore, the largest socio-economic shifts in the economic system in the modern Russia due to the formation of an information economy will take place in 2019–2022. Hence, in this period, an anti-crisis management of this process should be conducted.

In order to assess the state of health of Europe’s children, or to appraise the systems and models of healthcare delivery, data about children are essential, with as much precision and accuracy as possible by small group characteristic. Unfortunately, the experience of the Models of Child Health Appraised (MOCHA) project and its scientists shows that this ideal is seldom met, and thus the accuracy of appraisal or planning work is compromised. In the project, we explored the data collected on children by a number of databases used in Europe and globally, to find that although the four quinquennial age bands are common, it is impossible to represent children aged 0–17 years as a legally defined group in statistical analysis. Adolescents, in particular, are the most invisible age group despite this being a time of life when they are rapidly changing and facing increasing challenges. In terms of measurement and monitoring, there is little progress from work of nearly two decades ago that recommended an information system, and no focus on the creation of a policy and ethical framework to allow collaborative analysis of the rich anonymised databases that hold real-world people-based data. In respect of data systems and surveillance, nearly all systems in European society pay lip service to the importance of children, but do not accommodate them in a practical and statistical sense.

This chapter explores how state–business relations (SBR) in the Arab world influence public policy on industrial clusters and the resulting economic benefits from these clusters on innovation and productivity. The main SBR actors are identified as the state, big capitalists (or tycoons), and small and medium business managers and owners (entrepreneurs). The framework used here focuses on interactors' power relations. Such power relations are reflected in the ability/inability of the state to enforce its will with less consultation with and/or favorite treatment to nonstate actors. It is also reflected in the ability/inability of nonstate actors to act individually or organize in order to defend their interests and influence government policy formulation and implementation. Such power relations are reflected in the ability of nonstate actors to organize – especially entrepreneurs – and the level of favoritism provided by state officials to tycoons. The power dynamics in SBR lead to different SBR modes and different economic outcomes, one of which is the development of industrial clusters and how efficient they are in fostering innovation and productivity in Arab countries. This chapter suggests that the development of industrial clusters in the Arab world necessitates institutional reform, addressing the power relations governing SBR in the region. A more open political system allowing the independence and growth of broad-based business associations and curbing favoritism is necessary for realizing the benefits from implementing recommended policies, leading to cluster development and reaping the economic benefits from such development. Using statistical and regression analysis, empirical evidence supporting these arguments is provided.

The core objective of this study is to examine the impacts of various modes of financing on investment in industrial assets, fiscal resources in public sector, and GDP growth. The main focus of this study is the countries that belong to Central Asia Regional Economic Cooperation (CAREC) and Economic Cooperation Organization (ECO). For identification of the determinants of investment, fiscal resources, and GDP growth, the methodology is based on three simultaneous equations, estimated by the Pooled Ordinary Least Square (OLS) technique. The most important result is the significant positive impact of domestic credit to private sector on public sector fiscal resources, while it negatively affects the GDP growth and investment in non-financial assets. The significant betas associated with this variable indicate that bridge financing can improve the fiscal position of a government as it ensures the higher tax collection. This relation may be based on the survival and perpetuity of businesses through credit financing facilities during difficult period which ultimately ensures the higher tax collections by the governments. It justifies the significant role of credit financing to support the economic and business activities during the lock down period.

This paper investigates the impact of the development of capital markets on economic growth in Africa and reports a significant increase in real GDP per capita after stock exchanges are established. This paper also reveals that there are significant improvements in the level of private investments in the post stock market launch era. The results also indicate that stock markets play a complementary role to the banking sector by contributing to the availability of private credit. Although African capital markets are relatively less advanced when compared to capital markets on other continents (particularly in terms of technology, structure, and liquidity), we find that their establishment has been crucial in helping African countries catch up with the rest of the world.

This study utilizes World Bank Governance Indicators to investigate government effectiveness in Asia, both regionally and across sub-regions. Several factors seem to influence the level of government effectiveness: accountability and voice, control of corruption, and wealth and income. The presence of a democratic form of government does not seem to be an important factor, but we note that more sensitive measures of democracy might produce more positive results. We then comment on the strengths and weaknesses of the dataset and offer some suggestions for future research.