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The primary purpose of this paper is to empirically investigate the impact of educational attainment on crime rates across 33 Indian states over the period 2001 to 2013. This paper also examines the role of various macroeconomic, socio-economic and demographic factors in determining the variation of crimes in India.

First, this paper provides a representative theoretical model and discusses the possible relationship between crime and education. Second, the paper applies a dynamic panel data (DPD) model to extract more precise, unbiased and reliable estimates of the effect of education in abating different crime rates. The main advantage of using the dynamic panel model is to address the problem of endogeneity in some regressors and capture the time persistent effect of education on crime.

Empirical findings reveal that a 1% increase in gross enrolment ratio leads to the reduction of total crime by 8%. However, a unique finding identifies a positive association between tertiary education and economic crime. This finding further goes against the general belief that criminals tend to be less educated than non-criminals.

This paper recommends that instead of punishment and mandatory law enforcement for offenders, increase in government expenditure and different educational attainment ratios can go a long way to combat crime in India, which has posed a serious threat to the stability of society. Furthermore, utilizing the information on offenders' educational attainment in examining the crime rates can be a future research agenda for policymakers.

This study contributes to the empirical debate of ‘crime-education nexus’ by examining the role of education on crime in India. This study is the first of its kind that focuses on the aspects of crime and education more recently and investigates the relationship between crime and education due to the recent changes in educational attainment ratios and crime rate.

The purpose of this paper is to examine the status of access to school amongst the indigenous children of India. It looks at the enrolment, gender parity and drop‐out at different levels of school education as well as gender‐wise.

Sociological factors and the economics of education discourses on the significance of education and reasons for impediments to access are reviewed. The paper uses SES data for the year 2006‐2007 published by the Indian Ministry of Human Resource Development in the year 2008.

The indigenous children still remain the most deprived group in terms of access to school education and drop‐outs. The girls are the most affected stakeholders. The enrolment and gross enrolment have increased in the last three decades, but it is still very low at the higher levels of schooling. Similarly, the gender gap amongst the indigenous children increases at the higher levels of schooling. The high poverty and opportunity cost of attending schools are the major reasons for low participation.

Although the macro‐level strategies of government reflect an overall increase in enrolment and fall in drop‐out, research is needed to study grass root/micro‐level strategies adopted by NGOs for individual indigenous communities at different locations and their effectiveness.

The effective and equal access to and within indigenous children is an important tool for their socio‐economic development. The paper provides both an aggregated and a disaggregated picture by both gender and state.

In pursuit of achieving Education‐For‐All goals of universal primary education and improving quality of education, the Indian Government has been providing substantial resources to Indian states. The responsibility of providing access and quality remains the states' responsibility. Assessment of educational development will therefore become a focal point of the Center for Education Policy & Guidelines Formulation. While educational development indices help in ranking states, they do not help in capturing best practices and assessing the efficient utilization of resources. Assessment of the Educational Development Efficiency can augment educational development indices in vogue. The purpose of this paper is to develop an Educational Development Efficiency (EDE) model to benchmark the Indian states.

This paper uses an input‐process‐output conceptual framework to identify the dimensions of educational development. This paper employs Data Envelopment Analysis (DEA) to compare relative efficiency of 28 states and seven Union territories in India and benchmark them. In order to strengthen the discriminatory power of DEA, cross‐efficiency model was used. Factor analysis was performed to determine the inter‐relationships between variables. The efficiency impacting variables were identified using multiple regression analysis.

This paper benchmarked Indian states on educational development based on their performance. Gross enrolment ratio, students' academic performance and infrastructural investments were identified as the three key variables impacting states' EDE. This paper has shown that the educational administrators can use the EDE model to identify the best practices from efficient states. Insights into utilization of input resources to enhance educational development and consequent improvement of state efficiencies are presented. Four components have been identified to analyze the states' educational development progress – namely, financial adequacy, school resource strength, educational quality and educational access.

Contributions of this paper pertain to evolving a decision support model for national education policy planners, besides providing analytic support to the administrators of the states to benchmark and emulate the efficient educational programs.

This paper is one of the few published studies concerning the evaluation of educational development programs launched in the Indian schools and providing a cross‐comparison of the Indian states for the purposes of performance benchmarking as well as exploring the influencing factors.

The purpose of this paper is to examine the nexus among public expenditure allocated to education, educational attainment at secondary level and unemployment rate in India for the period 1987–2017.

The study employs autoregressive distributed lags (ARDL) bound testing approach suggested by Pesaran et al. (2001) to find the long-run relationship among the variables. The causal linkages are investigated through block exogeneity test based on vector error correction model.

The empirical results indicate that educational attainment proxied by gross enrolment ratio at secondary level of education negatively affects unemployment rate in long run as well as in short run. However, public expenditure on education is ineffective in influencing both educational attainment and unemployment rate.

The study is the first empirical effort to identify the causal nexus among public expenditure on education, educational attainment and unemployment in the context of India.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2019-0396

Tertiary education in Ghana has seen rapid advancement over the past two decades. This growth is the result of transformative policy reforms such as upgrading polytechnics into higher education status; the establishment of the University of Development Studies (UDS) in the northern part of the country; the amalgamation of existing Colleges of Education into degree awarding institutions; the creation of the Ghana Education Trust Fund (GETFund) to provide supplementary financial support for infrastructure, faculty research and development; expansion of distance education programs; modification of the student loan scheme; and a conducive regulatory environment that encourages private sector participation in higher education provision. In spite of these developments, the system continues to face several challenges such as limited funding to support academic programs; limited participation rates for low-income students, females, and minorities; difficulty recruiting and retaining young academic and research faculty; inadequate research capacities; limited ICT infrastructure to enhance instruction and curriculum delivery and inadequate facilities to support science and technology education; etc. This chapter focuses on the state of public higher education in Ghana with emphasis on current growth and challenges. The chapter offers descriptive analysis based on government policy reports and documents, enrollment data from universities in Ghana, and data from the Ministry of Education and the National Council for Tertiary Education in Ghana.

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 purpose of this paper is to examine resource allocation under the centrally sponsored scheme Sarva Shiksha Abhiyan (SSA) and its impact on development of elementary education in India. First, the author describes the current educational disparity across states in terms of state funding. Second, the author shows that interstate disparities in education resources have more to do with capacity of states to finance elementary education. For this, the author examines funding mechanism under SSA, focusing on principles of adequacy and absorptive rates. Third, the author analyzes the impact of additional funding on the progress of elementary education across states. Fourth, the author demonstrates how funding under SSA reinforces rather than reduces interstate disparity in school funding. Finally, the author concludes with certain policy implications for reforming federal transfers in Right to Education (RTE)-SSA, which can easily be extended to Rashtria Madhya Shiksha Abhiyan (RMSA) to be more responsive to educational inadequacy, effort and capacity across states.

The author uses box plots for illustrating interstate disparity across various indicators on financing and growth of elementary education. Box plots are good at portraying extreme values and illustrate differences between distributions. Because the thrust of the paper is examining difference in distribution across and within states, box plots appropriately portray the distribution of both. Further, coefficient of variation is estimated in education funding and its impact variables.

Interstate disparity in additional to the funding of SSA through discretionary transfers is examined by looking at two principles of inter-governmental transfers, viz., adequacy and absorptive rates. In a way, it appears that the educationally backward states getting the highest shares and also as per the requirement of the child population, but not necessarily so in terms of their relative proportions of enrolment, schools and teachers. Yet another revelation is that actual absorptive rates are much less than apparent absorptive rates. Unambiguously, additional resources coming from the Center for Development of Education can have a positive influence only after states have achieved a certain threshold level of absorptive capacities. As evidenced, fiscal disability is not compensated by transfers via SSA, as matching shares are uniform across states.

One significant limitations of the study is its use of administrative data. Often, administrative data from developing countries especially on social sector like education report inflated figures. The study uses primarily such but published secondary data sources.

Finally, the author suggests certain policy implications for reforming federal role in the current RTE-SSA, which can easily be extended to RMSA, a CSS in secondary education, to be more responsive to state effort and capacity.

Though SSA attempts to address regional imbalance, the accumulated initial advantage of better-off states with uniform norms under SSA funding widens the interstate disparity rather than reduce it. It is, hence, mandated to look at building capacities and enable states for a level-playing field.

It adds value to existing studies in two ways: rarely studies examine SSA expenditures and its impact on development and financing of elementary education, and examine a question on horizontal equalization mechanism whether additional allocation under SSA induce or reduce interstate disparity.

One of the most significant worldwide transformations in education over the past several decades has been the drastic increase in women's access to colleges and universities. Research suggests that the trend of the narrowing gender gap in higher education is remarkable (particularly, among the industrialized nations), and sometimes it involves an interesting phenomenon – women outnumbering men, in what some scholars refer to as a “reverse gender gap” (Goldin, Katz, & Kuziemko, 2006; Woodfield & Earl-Novell, 2006; King, 2006; Mortenson, 1999). This higher education gender gap trend is consistent with a general global trend of narrowing gender gaps in education in recent decades. The data – at least, analysis of statistical data from countries around the world – support the contention that the disparity between men and women, at all levels of education and in terms of both academic achievement and enrollment rates, is not as dramatic as it once was (Arnot, David, & Weiner, 1999; United Nations Children's Fund, 2005).

Quality education is a key requirement of a burgeoning country, like India as it aims to establish a sustained growth. However, the current situation of Indian education system is extremely poor. Although efforts are being made nationwide to improve the present situation, it is incontrovertible that different complications ail different Indian states. Some states suffer from a poor gross enrollment ratio, while others have an extremely high student-teacher ratio. The purpose of this paper is to compare the educational performance of 28 Indian states in order to identify those which require immediate attention.

For fulfilling this objective, a multi-criteria decision-making (MCDM) framework utilizing preference ranking organization method for enrichment of evaluations and geometrical analysis for interactive aid methods is adopted.

The results indicate that the educational performance of Goa is the best amongst all the considered alternative states, while Bihar is the laggard in this direction.

From the results, the states which fare to be the worst can easily be identified along with the specific areas/criteria, where they are falling behind. Based on these findings, necessary remedial actions can be undertaken so as to improve the educational performance of the ailing states.

This paper employs a novel geographic information system (GIS) method and a hue-saturation-value color coding scheme in order to determine the influence of individual criterion on the overall state rank, thereby representing an integration of MCDM and GIS which has never been applied before for educational performance evaluation.

The purpose of this chapter is to examine the use of Information and Communication Technology (ICT) and mixed technology as ontology for self and distance learning in the state of Meghalaya in North East India. The points of reference are the population of the state, the men/women ratio, gender ratio of learners, the tele-density of the state, the number of colleges and the rural urban divide. Data and statistics are taken from secondary sources. The chapter highlights the specific use of mixed technologies to address the new breed of learners today; a hybrid of text and hypertext; the digital learner, with his or her penchant for technology; and the mobile phone. Distance education is now gradually merging with online ontology of teaching/learning. The chapter has come up with suggestions for improving delivery of educational services in the state of Meghalaya in North East India. The originality/value of this chapter lies in the cross currents of using technology for learning in the mid of the rural urban divide, strongly advocating the course of digital learners in a state of India besotted with poor road connectivity and envisaging mixed technologies: the computer, radio and the mobile phone as integrated methods of learning.