Search results

This chapter challenges the urban bias in studies on the middle class in India and underlines the need to focus on the significant role rural middle class plays in economic diversification. Given that more than 23% of the upper middle class are located in rural India, it is surprising to note that their contribution in supporting experience economy remains under-researched. Thus, this chapter fills a key gap in existing studies on rural tourism in India by underlining how rural middle-class has triggered a huge demand for travel within the country itself for rural cultural programmes and different schemes to promote rural heritage sights.

The purpose of this study is to measure the availability, accessibility and usability of financial products and services in both rural and urban India from 1991 to 2014.

This paper uses principal component analysis (PCA) method to construct financial inclusion index that serves as a proxy variable for indicating the inclusiveness of financial products and services among the rural and urban people. To fulfill this objective, the study proposes separate indexes of financial inclusion for both rural and urban India from 1991 to 2014. The paper uses annual time series data from 1991 to 2014 to construct the rural-urban financial inclusion index. The used data have been collected from the basic statistical returns of Reserve Bank of India and Economic Political Weekly research foundation.

The study inferences that though there is a remarkable increase in financial inclusion in India from 1991 onwards, it does not result in sizeable growth of financial access to rural masses in comparison to urban masses. The rural India does not substantiate an equivalent growth to that of urban India, contrasting a perceptible increase in financial inclusion. The finding of this study will help the researchers and policymakers to understand the status of financial inclusion in the context of both rural and urban India. Furthermore, policymakers can take appropriate policy initiatives to fulfill the financial inclusion gap that exists between rural and urban people. Additionally, the proposed index is easy to compute and can be used to make comparison across countries for further studies.

The present paper attempts to include all possible dimensions (and indicators within a dimension) that have been considered so far by various authors. Therefore, the authors hope that this index will be more indicative and accurate than previous index. Again, the authors propose to use PCA for the first time to assign the weight of factors in the financial inclusion index for rural and urban India separately.

Tourism is one of the upcoming service industry in India with high potentials for future growth, particularly in rural areas. Many potential barriers are affecting the growth of tourism in rural India. Therefore, it is essential to explore and prioritize the barriers to tourism growth in rural India.

Qualitative and quantitative responses from “16” experts related to tourism and hospitality management from central India are collected for this study. An integrated Multi-Criteria Decision Making (MCDM) based framework is adopted to identify and relate significant barriers to tourism growth in India.

The result of the study identified many significant barriers and their importance to tourism growth in rural India.

The findings of this study add to the knowledge base of tourism research in line with the previous literature. This study offers an in-depth understanding of barriers focusing on rural tourism growth and devising both the plan of action and the suggestive measures in dealing with rural tourism.

The study provides a robust framework by integrating Interpretive Structural Modelling(ISM) and Decision Making Trial and Evaluation Laboratory (DEMATEL) to explore and prioritizing the critical barriers to rural tourism growth in India. The results of this study can help the decision-maker to fundamentally improve the economy of India through the growth of rural tourism.

Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.

This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.

Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.

The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.

Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.

The purpose of this paper is to provide the insights on the challenges influencing rural start-ups. It provides insights with regards to managerial, operational, marketing and finance-related challenges influencing the rural start-ups in the study. The study aims to expand the domain of start-ups by including a broader range of challenges and related aspects found in the start-up literature.

The paper opted for an exploratory study using the open-ended approach of grounded theory, including 61 rural start-ups operating in Karnataka, India. The data were analysed through non-parametric test to understand the comparison between different sectors of rural start-ups.

It suggests that marketing techniques and infrastructure challenges influences the rural start-ups. Therefore, success of start-ups is influenced by these related variables.

Because of the chosen research approach, the research results may lack generalizability. Researchers are therefore encouraged to test the proposed propositions further in the area of challenges and growth in the domain of managerial, infrastructure, marketing, finance, human resource and logistics in rural start-ups. The study is restricted to rural start-ups located in districts of Karnataka, India.

The paper includes implications for managing the challenges for enhancing the growth of start-ups. The paper provides insights on the significant challenges witnessed by the start-ups and provides directions for the growth of start-ups.

This paper fulfils an identified need of the start-ups in rural sector and contribute to the growth of start-ups in rural sector of India.

This paper fulfils an identified need to study how rural start-ups operate and create a niece in the growth of Indian economy.

This paper aims to analyze the status of infrastructure, workforce and basic amenities at public health-care facilities in rural India and draw a comparison with its urban counterparts.

Rural Health Statistics data and National Sample Survey Office Report for the period 2019–10 were used to analyze lower-level public health facilities, namely, subcenters, primary health centers and community health centers (CHCs). Selected tracer indicators under World Health Organization’s (WHO) Service Availability and Readiness Assessment (SARA) mechanism such as health center density, core health workforce density and basic amenities were used to carry out the analysis. The extent of facility coverage was measured using the National Rural Health Mission (NRHM) guidelines and the proportion of facilities satisfying the Indian Public Health Standards (IPHS) was measured to assess the service provision quality in rural public health-care facilities.

Results indicated that the density of public health centers is higher in rural areas than in urban areas. Almost all public health-care facilities lack basic amenities in rural areas. Working positions for health specialists in CHCs barely meet the total requirement. Almost all of the public health facilities functioning in rural areas do not meet the IPHS norms.

To the best of the authors’ knowledge, the present paper is the first initiative to assess the status of rural public health-care facilities on the national level using WHO’s SARA indicators as well as NRHM and IPHS guidelines. The study is significant in terms of policy input for achieving universal health coverage in India.

The magnitude of rural poverty is larger as compared to urban poverty in India. The basic explanation for sectoral poverty differentiates in India is the misallocation of resources and urban‐biased strategy of development. Investment allocation in Indian planning is not strictly based on the consideration of equity and economic efficiency. The rural sector gets the smaller share of investible resources, and therefore rural income, output and employment fall short of the optimum level, and rural poverty intensifies.

The purpose of this paper is to explore the nature of rural energy transition in cooking options in India. Although India is aiming to achieve a double-digit economic growth, a large share of rural households still rely on firewood for cooking which not only has serious repercussions of increasing indoor pollution but also has a concomitant adverse effect on women and child morbidity and mortality. However, transition to clean energy options like improved cookstoves for these households may not be necessarily linear. It is often driven or resisted by latent factors such as caste, trust, social capital, information flow, social positioning of clusters that are deeply embedded in the social and cultural norms and values specific to local rural contexts. This has been shown in the present case study that pertains to eight villages in the remote and deprived Purnea district of Bihar and the need for internalizing them in the macro energy policymaking has been established in the paper.

The paper applies a macro foundation research that is complemented by micro foundation tools of fuzzy cognitive mapping-based mental model framework to achieve the purpose of the study. Focused-group discussions and interviews are also conducted to establish the narrative of the paper.

Caste, socio-political position, asset structure, remoteness, culture and technology access affect rural households’ decision making capability that is related to shifting from using the traditionalmeans of firewood and biomass based traditional cookstoves for cooking to adopting improved clean cooking stoves which will enable the transition toward the use of clean rural energy in the eight villages in Bihar chosen for this study.

The findings of the paper have larger implications for the broader macro energy policymaking in the country by taking into account the non-linear, latent factors of village contexts.

The research will help energy policymakers in decision-making and will guide the implementation process of national- and state-level policies on rural energy transition in India.

The findings of the paper will help the smoother implementation of national- and state-level rural energy transition policies for cooking, creating developmental dividends for rural Indian households.

The research is new with regard to the application of non-deterministic fuzzy cognitive mapping-based mental model approach to contribute to the country’s national- and state-level rural energy transition policies.

The purpose of this paper is to assess the role of National Rural Health Mission (NRHM) in reducing Infant Mortality in India. The study will help the government in deciding its future course of action regarding the infant mortality rate (IMR) reduction in India.

This paper adopts the interrupted time series analysis (ITSA) approach with a control group to study the role of NRHM in reducing the IMR in India. The authors examined infant mortality in rural areas of India for the level and trend change before and after the implementation of NRHM. The authors then applied a suitable ARMA model to estimate the coefficients of the regression model. From the estimated results, the study predicts the counterfactuals for both the rural IMR and urban IMR and plots the results.

The study found the evidence supporting the hypotheses that the NRHM has led to a reduction in the difference between urban IMR and rural IMR. The research shows that the rural IMR declined at steeper rates in the post-NRHM period (2005–2015).

None of the existing studies analyses the impact of a social scheme like NRHM on the reduction of IMR in India by applying the ITSA. The study is unique as it estimates the counterfactuals and plots the results which show the impact of NRHM on reducing IMR.