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This paper aims to investigate the link between agency costs mitigation via three levels of rights protection (minority rights protection, enforcing contracts, resolving insolvency issues) provides the propitious climate for financing investment opportunities around the world.

We use Bartlett’s three-group method to stratify countries based on how well they protect investors as measured by the scores provided in the Doing Business dataset developed by the world bank for 189 countries. We then test a variety of independent hypotheses that the alleviation of agency costs via three levels of protection (minority investors’ rights, contract enforcement, resolving insolvency issues) is associated with better access to credit via the banking system, better valuation of listed firms via the stock market and higher investment and growth.

Our findings support Agency Theory which explains why the absence of legal protection of external investors leads to stock markets and financial institutions failing to fulfill their role of financing the economy.

The policy implication from this study indicates that countries ought to (1) develop legislation that protects investors’ rights, (2) improve the quality of their judicial system in terms of enforcing the legislation and (3) build the framework for resolving disputes during insolvency as these are important ingredients for a developed financial system.

We use the World bank dataset and a new methodology to quantify the significance of the relationship between minority rights protection, ineffective enforcement, lack of bankruptcy laws and access to firm financing via the banking sector and the stock market. It provides new evidence that the quality of the judicial system in a country matter for firms’ ability to raise financing and enhance value creation.

本文旨在探討一個假設，該假設為透過三級別權利保障（保障少數群體的權利、執行合同、解決破產問題）的代理成本緩減會為世界各地的金融性投資機會提供良好的氣侯。

我們以巴特利特（Bartlett）的三組法把國家分組，分組方法是基於該國家保障投資者的程度，而保障程度是以世界銀行為189個國家而制定的營商資料集內提供的評分來衡量的。我們把國家分組後，便就各樣的獨立假設進行測試。這些假設是：透過三級別保障（保障少數股權投資者的權利、合同的執行、解決破產問題）的代理成本緩減是連繫於透過銀行系統而產生的更佳信貸途徑，透過股市的更佳上市公司估值及更高的投資和增長。

研究結果証實了代理理論，該理論說明為何當外來投資者沒有得到法律保障時，結果會導致股票市場和金融機構不能履行其為經濟提供資金的角色。

本研究具有政策方面的意義，因研究顯示了國家應該：（1）設立保障投資者權利的法律；（2）在執行法律方面，改善其司法系統的素質；（3）建立解決破產時爭議的體系。這些是應該做的，因它們是一個已發展的金融體制的重要元素。

本文強調了一個保障投資者權利的法律環境所需的三個特定要素：對少數股權投資者權利的保障、有效的執行、有效的破產法律及透過銀行部門和股票市場而取得公司融資。這提供新的證據, 證實這三級別權利保障對公司籌集資金及提高價值創造的能力而言至為重要。

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.

The purpose of this paper is to examine the relationship between financial development and economic growth for five major emerging economies: Brazil, Russia, India, China and South (BRICS) during 1993 to 2014 using banking sector and stock market development indicators.

To begin with, the study first examined some of the principal indicators of financial development and macroeconomic variables of the selected economies. Next, using generalized method of moment system estimation (SYS-GMM), the relationship between financial development and growth is investigated. The banking sector development indicators used in the study include size of the financial intermediaries, credit to deposit ratio (CDR) and domestic credit to private sector (CPS), whereas the stock market development indicators are value of shares traded and turnover ratio. Also, some macroeconomic control variables such as inflation, exports and the enrolment in secondary education were used.

The examination of the principal indicators of financial development and macroeconomic variables have shown considerable differences between the selected economies. Results from the dynamic one-step SYS-GMM estimates confirm that in presence of turnover ratio, all the selected banking development indicators such as size of financial intermediaries, CDR and CPS are positively significantly determining economic growth. Similarly, in presence of all the selected banking sector development indicators, value of shares traded is found to be positively significantly associated with economic growth. However, the same is not true when turnover ratio is regressed in presence of banking sector variables. Overall, the evidence suggests that banking sector development and stock market development indicators are complementary to each other in stimulating economic growth.

A positive association between financial development and growth indicates that the policymakers should take necessary measures toward simultaneous development of both banking sector as well as stock market for inducing growth.

The present paper attempts to examine the relationship between financial development and growth using both banking sector and stock market development indicators which has not been attempted before for BRICS. Also, most of the existing studies are found in case of developed economies. This paper tries to fill this void by studying five major emerging economies.

This article examines the effects of credit to private sector on the business and trade activities. The effectiveness of rapid expansion in public and private borrowing through state's intervention after COVID-19 pandemic has been assessed in this study.

The model to determine the role of credit expansion is based on four equations estimated through panel least square technique on 18 years data of 186 countries.

It is concluded that credit to private sector and external debt improve the investment in infrastructure, which is a significant determinant of gross domestic product growth. Empirical evidences corroborate that higher number of firms using banks to finance their investment and the volume of broad money determine the magnitude of credit to private sector.

This study explores some new evidences and aspects of the credit financing which have not been discussed in this way before.

This study aims to identify to what extent the economic factor effect is more salient in shaping inward foreign direct investment (IFDI) than are institutional factors in G-20 inflow patterns.

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was applied using the World Bank Governance and Development Indicators, followed by a panel data technique over the period 2005-2015 to estimate the connections between the different dimensions of economics, institutions and IFDI in the G-20.

Results showed that countries with better economic performance contrasting with the governance indicators are more effective at attracting IFDI. However, the correlation between FDI intensity and governance indicators has been found relatively weak, which may suggest a more controversial role of institutions as determinants of IFDI.

This quantitative approach uses a country-level set of variables; therefore, the authors suggest the development of more firm-level analysis of the impact of institutions. Also, the limitation of the TOPSIS method itself is based on heuristic assumptions.

The main findings point to a relatively low impact of institutions on IFDI. The authors suggest that the global financial crisis has changed the rationale of decision-making by multinational companies.

The originality of the present study was to apply a multi criteria decision-making technique on FDI’s analysis combined with institutional data.

This paper aims to discuss the evolution of the Egyptian banking sector and the main trends in financial development in Egypt. The purpose of this study is to examine empirically the relationship between the development of the financial sector and economic growth in Egypt between 1980 and 2016.

The paper draws comparisons based on critical financial indicators between Egypt and selected emerging markets and developing economies. It uses a new data set of financial development indexes released by the International Monetary Fund. This paper uses econometric time series modelling of bivariate regressions for real growth per capita and measures of financial development to assess the relationship between financial development and economic growth in Egypt.

There are three specific findings based on the empirical analysis. First, there is a strong association between real growth per capita and financial development measured by money supply to GDP. Second, access to and the efficiency of banking services are not associated with real per capita income. Third, the Financial Markets Access Index – which compiles data on market capitalization outside of the top ten largest companies and the number of corporate issuers of debt – indicates a robust association with real per capita GDP.

The paper uses advanced empirical investigation techniques and new data sets available to assess the critical relationship between finance and growth in Egypt. The main policy implications of the empirical results of this paper suggest a stronger focus on promoting a more proactive role for the financial services industry in Egypt. In particular, there is a critical role for bank financing to support the private sector to maintain an inclusive growth momentum. Further development of the capital market will promote sustainability of such economic growth.

Shadow banks or non-bank financial intermediaries (NBFIs) are facilitators of credit, especially in emerging market economies (EMEs). However, there are certain risks associated with them, such as their unchecked leverage and interconnectedness with the rest of the financial system. In light of this, the present study analyses the impact of the growth of shadow banks on the stability of the banking sector and the overall stability of the financial system. The authors further examine the effect of the growth of finance companies (a type of NBFIs) on financial stability.

The study employs data of 11 EMEs (monitored by the Financial Stability Board (FSB)) for the period 2002–2020 to examine the above relationships. Panel-corrected standard errors method and Driscoll–Kray standard error estimation are deployed to conduct the analysis.

The results signify that the growth of the shadow banking sector and the growth of lending to the shadow banking sector are negatively associated with the stability of the banking sector and increases the vulnerability of the financial system (overall instability). This implies that the higher the growth of the shadow banks, the higher the financial fragility. Finance companies are also found to negatively affect financial stability. These findings are validated by different estimation methods and point out the risks posed by the NBFI sector.

The extant study builds a composite index (Financial Vulnerability Index (FVI)) to measure financial stability; thus, the findings contribute to the evolving literature on shadow banks.

The purpose of this paper is to explore the effect of monetary policy on bank risk in the banking system in some MENA countries. It explores how some economic and credit indicators affect the level of risk in the banking sector. It combines many factors that could affect banks’ risk appetite such as macroeconomic conditions, banks’ credit size and lending growth. The authors use nonperforming loans as a proxy for banking sector risks. At first, the authors have analyzed the linear relationship between monetary policy and credit risk. As mentioned above, nonlinearity is expected in the underlying relationship, and, thus, they have investigated the nonlinear relationship to deeply analyse the relationship using the dynamic panel threshold model, as stimulated by Kremer et al. (2013). Threshold models have gained a great importance in economics and finance for modelling nonlinear behaviour. Threshold models are useful in showing the turning points in the behaviour of financial and economic indicators. This technique has been applied in this study to study the effect of monetary policy on credit risk.

This paper is divided into the following sections: Section 2 which previews the recent literature; Section 3 which includes some stylized facts about the relationship between credit risk and monetary policy; Section 4 which deals with the model and methodology; Section 5 which handles the data sources and discusses the results, and finally Section 6 which is the conclusion. The paper adopts dynamic panel threshold model of Kremer et al. (2013).

The results show that the relationship between monetary policy and credit risk is positive and significant to a certain threshold, 6.3. If the lending interest rate is higher than 6.3, this increases the credit risk in the banking sector, because increasing the lending interest rate imposes huge burdens on the borrowers, and, therefore, the bad loans and nonperforming loans become more likely. Thus, the MENA countries need to decrease the lending interest rate to be less than 6.3 to reduce the effect of monetary policy on credit risk. Further, these results are qualitatively robust regarding the inclusion of additional control variables, using alternative threshold variables and further endogeneity checks of the credit risk, such as Risk premium and the squared term of the lending interest rate. The results of taking the risk premium and the squared term of the lending interest rate as a threshold served the analysis and confirmed the positive relationship between monetary policy and credit risk above a certain threshold. As for the risk premium, the relationship below the threshold was negative and significant. Other related research points might be a good avenue for the future research such as applying this approach to micro data of banks from different MENA countries. Also, more sophisticated approaches like time-varying panel approach to assess the relationship over the time can be applied.

The importance of this paper lies in the fact that it does not only study the effect of time, but it also focuses on the panel data about some economic and credit indicators in the MENA region for the first time. This is because central banks in the MENA region have common characteristics and congruous level of economic growth. Therefore, to study how the monetary policy affects those countries’ credit risks in their lending policies, this requires careful analysis of how the central banks in this region might behave to control default risks.