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With the aim of analysing the growth and developmental aspects of bank credit allocations in the selected countries, the primary requirements are to see the trends of the lead variables, credit, gross domestic product (GDP) and Human Development Index (HDI), and get ideas on the descriptive statistics. The present chapter has attempted to do all these primary analyses across the countries for the period of 1990–2019. The study observes that the levels of GDP have increased for all the countries throughout the entire period with some downhill breaks during the global financial crisis of 2007–2009. There are also similar types of upward trends in the credit delivery to the private sectors of the countries over time with some exceptions in the second phase (2001–2010) for Germany and the first phase (1990–2000) for Brazil. On the other hand, the HDI values for all the countries have improved over time in the entire period of time and the developing countries in the list have progressed more in all three indicators, GDP, credit and HDI, compared to that of the developed countries in the list. The correlation analysis of credit with GDP and HDI shows positive coefficients in many of the developed and developing countries which primarily justify the existence of strong linkages of their financial sectors with their real sector and overall development.

Sequel to the results of the preceding chapter that depicted positive associations of credit with the indicators of growth and development, the present chapter aims at investigating the interrelationships of credit with GDP and HDI separately in a bivariate framework for the selected countries for the period 1990–2019. For this purpose, this chapter first develops a theoretical model in line with the Barro (1991) model where bank credit is introduced as a good institutional component of endogenous growth. Then, it goes for a time series exercise to establish the long-run relations and short-run dynamics for the pairs of variables, credit-GDP and credit-HDI, to justify the linkages between the financial sector and the real sector. The study arrives at mixed results across the countries. In many cases, credit has been identified to be strongly related to income and development indicators in the long run through cointegrated stable relationships. Furthermore, credit makes a causal influence on GDP and HDI in some developed countries whereas GDP becomes a causal factor to credit in some developing countries. It is thus recommended for further aggravation of the two sectors’ linkages under the patronisations of the governments and the monetary authorities of the countries to have high growth of income and development so that a part of the sustainable development goal can be achieved through the financial sector.

With the growth of income at the global level, the World Bank data show that there are rising levels of income disparity across countries, groups, regions and within the countries. This fact otherwise hints at the inter-country divergence in incomes, particularly between the developed and developing countries of the world. This chapter, therefore, attempts to examine the convergence or divergence in credit, GDP and HDI across the 10 selected countries for the period of 1990–2019 applying the neoclassical growth approach and the time series approach. The results of the exercise in line with the neoclassical theories on absolute convergence and sigma convergence show that the countries are unquestionably converging in GDP and HDI with mixed results in case of credit. The results of convergence in GDP and HDI in all the countries and their developed and developing counterparts provide a possible explanation as to why the cross countries’ income inequalities as well as world inequality in income and development are reducing over time. On the other hand, the results of the time series approach display that credit and HDI are converging in both absolute and conditional terms but the countries are converging in conditional terms only for GDP. Thus, the claims of the World Bank are not valid for the selected countries in the chapter, rather, they can be verified by taking other countries and groups into consideration.

The literature on sustainable development reveals that the financial sector and the real sector should maintain a coherent association in the long run. Thus, like that in a country-level significance, the relevance of the investigations of the interrelationships between the financial sector’s development and the growth and development of the states within a country is also required to be done. This chapter tries to examine the interrelationships between two sets of variables, bank credit and state output, and bank credit and human development, for the pre-reform and post-reform periods. Using the appropriate time series econometric analysis, the study finds no long-run relationships between credit and NSDP during the pre-reform period but it has observed a number of states where such stable relations hold during the post-reform period. Again, there are mixed results between the two in the Granger causality analysis during both the periods. There are the states like AP, Bihar, Karnataka, Kerala and WB where developments in the financial sector influence the growth of the real sector, while the reverse causality, that is, from the real sector to the financial sectors works in case of Assam, Haryana, MP and Maharashtra. Bidirectional causality between the two is observed in the states like TN, WB, etc. Further, the study finds very small number of states where credit and human development are interlinked in the long run. However, in the short run, the financial sector makes influences to the human development in case of the states like Bihar, Odisha and TN.

In the postglobalized world, information and communication technology (ICT) has been considered a key driver of human development. The world is reshaping from resource-based economy to knowledge-based economy after rapid growth of ICT. ICT can be considered as an umbrella that incorporates any communication device such as radio, television, cell phones, computer and network hardware, satellite systems etc., and also various services and appliance with them such as video conferencing and distance learning (Akarowhe, 2017). ICT is a technological system that is able to meet the gap of formal communication system and ultimately affects the level of standard of living. Human development can be defined as a process of enlarging people's freedoms and opportunities and improving their well-being. Whereas, human development index (HDI) is a statistical tool used to measure a country's human development based on the health of people, their level of education attainment, and level of income. The present chapter tries to find out the impact of ICT on human development for selected high HDI and medium HDI countries during the period 2001–2018. Applying panel data technique result shows that ICT has a positive and significant impact on human development.

In continuation to Chapter 3, the present chapter tries to quantify the impact of credit upon GDP and HDI as the first attempt and the linkages of NPA and security investments with credit, GDP and HDI of the countries as the second attempt. For these purposes, this chapter starts with the measurements of credit elasticity with respect to GDP and HDI to know the impact of credit on the private sectors upon the income and human development of the countries. Then, it focuses on the implications of common banking operating tools such as their investments in the governments’ securities in relation to credit to the private sectors, GDP and HDI of the selected countries in a panel data format. The results of the credit elasticity of GDP show that it has taken the positive sign in all of the countries and the negative changes are very little in number. Furthermore, the results on the linkages show that all the variables are mostly cointegrated and therefore maintain stable and equilibrium relationships in the long run among them. But the short-run results show that investment and credit make a cause to NPA, and investment and NPA make a cause to GDP. No variables make any interrelationships with the HDI in either the long-run or short-run systems. Thus, the countries in the list should put more emphasis on the working of the financial sectors as the key partner in the income-generating activities.

The assertions of the government that poverty eradication and social development generally are the main challenges and that it is fully committed to address these issues have continued over time. But how genuine this claim is a matter of great concern. So, this chapter may be an attempt to analyze patterns in social sector expenditure on education (SSEE) and its impact on Human Development Index (HDI) among different states in India. The combined social sector expenditures (SSE) of Centre and States, which provide the best picture of India’s commitment towards the social sector in education, may be assessed. There are diverse ways of inspecting the trends in expenditures. Firstly, to look at SSE as a proportion of gross state domestic product (GSDP), secondly is to calculate SSE as percentage of aggregate budget expenditure, thirdly is to look at the real per capita expenditure (PCE) (at constant prices) for the social sector in the case of the states. This chapter looks at the trends in SSEE, considering all the alternative ways and the impact of SSEE on HDI. The result of the study shows that there is a positive relationship between SSEE and HDI. SSEE may lead to increases in gross enrolment ratio (GER) and literacy rate (LR). An increase in GER and LR may help in increasing the HDI.

The study set out to understand how the regional competitiveness index (RCI) in the department of Ancash related to the human development index (HDI) from 2008 to 2021. For a more complete understanding of the findings, each component or dimension of the RCI was analyzed. Ancash's HDI and its competitiveness index over a 14-year period were used as the population for this applied, longitudinal, descriptive-correlational study, which was based on secondary data extracted from the “Instituto Nacional de Estadística e Informática” (INEI) and business school of the Pontificia Universidad Católica del Perú (CENTRUM) statistical databases. Multiple linear regression was used to find the relationship. The research found a strong and positive correlation between regional competitiveness and human development between 2008 and 2021. No correlations were found between the HDI and the health, education, employment, or institutional dimensions of regional competitiveness, but direct and significant correlations were established between the economic environment and the HDI and between the infrastructure dimension and the HDI.

There are two important determinants in the banking system which directly affect the number of credit deliveries to the economy in the first round and impact the growth and developmental status of the economies in the second round. They are the amount of non-performing assets (NPA) and the number of banking funds invested in the governments’ securities. The present chapter, thus, focuses on the trends of these two and their associations with the credit, GDP and human development of the countries. First, it develops a basic theoretical structure of credit creation in the banking system and then develops theoretical linkages among the two lead variables, NPA and investment, in relation to the rest of the economy. Then, it goes for empirical exercises from the perspectives of the descriptive statistical analysis. The trends of NPA and investment show rising trends in almost all countries. Furthermore, it is found that the signs of correlation coefficients between the two with credit, GDP and HDI are positive in most cases of the list of developing countries and negative in some cases of the list of developed countries.