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The majority of MENA countries suffer low levels of human development, coupled with scarcity of funding resources, low level of governance, and poor institutional environment. Consequently, this research aims at detecting the impact of development finance resources and institutional quality on the human development in the MENA region, in order to examine if/why the MENA countries fail to efficiently exploit all the available financial inflows to promote human development and boost living standards.

This study tests the short- and long-run impact of six financing resources representing injections in the economy and four institutional quality variables on the human development index in the MENA region. It adopts co-integration analysis, vector error correction model, and Granger causality test on a sample of 13 MENA countries over the period 1996–2019.

This research finds that domestic credit to private sector and exports of goods and services do not have any significant added value for human development in the MENA region. In contrast, government expenditures and migrant remittances are found to be crucial in promoting human development in both the short- and long-run. FDI and ODA do enhance human development, but only in the short-run. In parallel, control of corruption, government effectiveness and regulation quality are essential boosters of human development in the MENA region, but with different importance, while political stability was found to be irrelevant.

To the authors’ best knowledge, this is the first study that examines the impact of financial inflows and institutional quality on the overall human development index in the MENA region. The contribution of this paper lies in unlocking for policymakers the potential impactful financing resources to serve national developmental plans, in an endeavour to catch up to the SDGs amid the additional challenges imposed by governance and institutional environment.

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.

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.

Do feminine cultures really behave more feminine than masculine cultures?. A comparison of 48 countries femininity‐masculineity ranking to their UN human development rankings. Reveals that feminine cultures do apply greater intensity in investing in human development programmes, including care for the weak and gender equity development than masculine cultures. States that both score low on empowerment of females, suggesting that a countrys power distance measurement affects this. Implies that managers of international firms will find greater demand for improved quality of work and female empowerment programmes in feminine/small power distance countries than feminine high power distance countries and masculine countries. Qualifies comparisons by outlining problems within the UN statistical data.

The purpose of this study is to investigate the nexus between financial inclusion and human development for countries belonging to different income groups during 2009–2019, and whether this relation differs across these groups.

The paper constructs an index of financial inclusion (IFI) for different income group countries employing dynamic panel data models estimated by generalized method of moments (GMM) to analyse the relation between financial inclusion and human development.

Financial inclusion in low and lower-middle-income countries has higher effect on human development than in high and upper-middle income countries.

The study examines the effect of IFI on the human development index (HDI) at the aggregate level. Future research can tackle the IFI effect on every component of HDI and other aspects of financial inclusion could be incorporated like financial technology.

The originality lies in constructing an index for financial inclusion using the most recent data for a wide range of countries, in addition to examining the impact of financial inclusion on the human development levels of different income groups allowing for more accurate analysis tackling the differences in terms of adopted policies across various income groups; unlike other studies that are carried out on a one country basis or only across one or two country groups that do not allow for comparison across various groups of countries.

The purpose of this paper is to extend the existing literature on cross‐country disparities by providing measures of cross‐country inequality in human development index (HDI) and real income per capita over the 30‐year period 1975‐2004.

A well‐recommended inequality index is applied to the data.

Ten points are noted: first, HDI inequality declined over the period; second, the pace of decline slowed somewhat since 1990; third, magnitude of HDI inequality has been quite small; fourth, inequality in gross domestic product per capita also shows a declining pattern over the period; fifth, there is very high correlation between HDI and per capita income; sixth, despite the high correlation, magnitudes of inequalities in the two variables are dramatically different; seventh, therefore, even very high correlation may not be interpreted as implying similar inequalities in the variables; eighth, cross‐country inequalities in various regions show huge differences; ninth, negative trend in inequalities over the period shows high statistical significance; and tenth, t‐tests for equality of means do not pick up well even huge differences in regional inequalities, suggesting need for considerable caution in the use of such tests.

The primary scientific significance of the work lies in providing the measures of cross‐country inequality in HDI over the 30‐year period; showing dramatically different inequalities in HDI and income despite very high correlation between the two variables; and indicating cross‐country inequalities in eight different regional groups and also across regions.

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.

This study aims to investigate the consequence of the quality of governance (QoG) in moderating the effect of healthcare spending on human development.

The authors employ a two-step Windmeijer finite sample-corrected system-generalized method of moments (sys-GMM) estimation technique on a panel dataset of 161 countries from 2005 to 2019. The authors use healthcare expenditure as the main explanatory variable and the Human Development Index (HDI) as the dependent variable and also consider voice and accountability (VnA), political stability and absence of terrorism (PSnAT), governance effectiveness (GoE), regulatory quality (ReQ), rules of law (RLaw) and control of corruption (CoC) dimensions of governance indicators as proxies of good governance. The authors develop a new measure of good governance from these six dimensions of governance using principal component analysis (PCA).

The authors empirically revealed that allocating more healthcare support alone is insufficient to improve human development. Individually, PSnAT has the highest net positive effect on health expenditure that helps to increase human welfare. Further, the corresponding interaction effect between expenditure and the Good Governance Index (GGI) is negative but insignificant for low-income countries (LICs); negative and statistically significant for sub-Saharan African (SSA) economies and positive but insignificant for South Asian nations.

This study is an in-depth analysis of how governance impacts the effectiveness of healthcare expenditure to ensure higher human development, particularly in a large panel of 161 countries. The authors have developed a new index of good governance and later extended the analysis by separating countries based on the income level and geographical location, which are utterly absent in existing literature.