Indian State Research Articles

Forms of Translation, Translation of Forms: From Gorky’s Mother to Mahasweta Devi’s Mother of 1084

ABSTRACT This article focuses on the Bengali novel হাজার চুরাশির মা (Mother of 1084) by Mahasweta Devi to read it as a rewriting of Maxim Gorky’s The Mother. It contends that Mother of 1084 recasts Gorky’s radical and gendered bildungsroman for the context of India where it not only documents the development of the radical consciousness of Sujata, the mother of the revolutionary Brati killed by the Indian state, but also the patriarchal structure of the Indian/Bengali family. Furthermore, it argues that the Bengali novel recasts the socialist realism of the Russian novel into modernist Bengali prose. It examines Mahasweta’s deployment of the modernist aesthetic while locating Mother of 1084 in a broader tradition of actually existing communist artistic praxis in South Asia to illuminate the tradition of committed modernism.

Mental Health, Suicidality, Health, and Social Indicators Among College Students Across Nine States in India

Background: The prevalence of mental health issues among youth is significantly high globally. This article presents findings from a survey that examined psychological distress, suicidal thoughts and behaviors, and health and social indicators among college students in India. Methods: The study recruited 8,542 students from 30 universities spanning nine Indian states, utilizing a questionnaire that included the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) to measure depression and anxiety symptoms. It also examined the prevalence of suicidal thoughts, attempts, non-suicidal self-injury, and other health and social factors. Results: Findings indicate that 18.8% and 12.4% of students had considered suicide over their lifetime and in the past year, respectively, with 6.7% having attempted it at some point in their lives. Among those with lifetime suicidal thoughts, more than one-third (38.1%) reported having previously disclosed these thoughts to someone, with friends being the most common confidants. Furthermore, one-third (33.6%) of participants reported moderate to severe symptoms of depression, and one-quarter (23.2%) reported moderate to severe symptoms of anxiety. Conclusions: The study revealed a significant prevalence of depressive and anxiety symptoms, as well as suicidal thoughts and attempts among college students in India. The study underscores the critical need for interventions aimed at improving mental health and supporting this demographic.

Deworming and micronutrient status by community open defecation prevalence: An observational study using nationally representative data from India, 2016-2018.

Micronutrient deficiencies are widespread in India. Soil-transmitted helminth (STH) infections are acquired by interaction with soil and water contaminated by human feces and lead to blood loss and poor micronutrient absorption. The current recommendation for control of STH-related morbidity is targeted deworming, yet little is known about the effectiveness of deworming on micronutrient status in varying sanitation contexts. Ranging between 1% and 40% prevalence across Indian states, open defecation (OD) remains high despite India's investments at elimination by promoting community-wide sanitation. This variation provides an opportunity to study the relationship between deworming, micronutrient status, and OD at-scale. Cross-sectional datasets that were representative for India were obtained the Comprehensive National Nutrition Survey in 2016 to 2018 (n = 105,060 individuals aged 1 to 19 years). Consumption of deworming medication was described by age and community OD level. Logistic regression models were used to examine the relationship between deworming, cluster OD, and their interactions, with anemia and micronutrient deficiencies (iron, zinc, vitamin A, folate, and vitamin B12), controlling for age, sex, wealth, diet, and seasonality. These regression models further allowed us to identify a minimum OD rate after which deworming becomes ineffective. In sensitivity analyses, the association between deworming and deficiencies were tested in subsamples of communities classified into 3 OD levels based on statistical tertiles: OD free (0% of households in the community practicing OD), moderate OD (>0% and <30%), or high OD (at least 30%). Average deworming coverage and OD prevalence in the sample were 43.4% [IQR 26.0, 59.0] and 19.1% [IQR 0, 28.5], respectively. Controlling for other determinants of nutritional status, adolescents living in communities with higher OD levels had lower coverage of deworming and higher prevalence of anemia, zinc, vitamin A, and B12 deficiencies. Compared to those who were not dewormed, dewormed children and adolescents had lower odds of anemia (adjusted odds ratio 0.72, (95% CI [0.67, 0.78], p < 0.001) and deficiencies of iron 0.78, (95% CI [0.74, 0.82], p < 0.001) and folate 0.69, (95% CI [0.64,0.74], p<0.001)) in OD free communities. These protective effects remained significant for anemia but diminished for other micronutrient deficiencies in communities with moderate or high OD. Analysis of community OD indicated a threshold range of 30% to 60%, above which targeted deworming was no longer significantly associated with lower anemia, iron, and folate deficiency. The primary limitations of the study included potential for omitted variables bias and inability to capture longitudinal effects. Moderate to high rates of OD significantly modify the association between deworming and micronutrient status in India. Public health policy could involve sequencing interventions, with focus on improving deworming coverage in communities that have achieved minimum thresholds of OD and re- triggering sanitation interventions in high OD communities prior to deworming days, ensuring high coverage for both. The efficacy of micronutrient supplementation as a complementary strategy to improve nutritional outcomes alongside deworming and OD elimination in this age group needs further study.

Investigating the relationship of government revenue and expenditure on economic growth using a generalized method of moments: Does state-level panel ensure sustainable growth?

The current research project investigates the correlation between economic growth, government spending, and public revenue in seventeen Indian states spanning the years 1990 to 2020. An analysis of the relationship between key fiscal policy variables and economic growth was conducted utilising a panel data approach, the Generalised Method of Moments (GMM), and fully modified Ordinary Least Squares (FMOLS & DOLS) estimation. In our investigation, we assessed the impacts of non-tax revenue, development plan expenditure, tax revenue, and development non-plan expenditure on (i) the net state domestic product (NSDP) and (ii) the NSDP per capita. The findings indicate that the selected fiscal variables are significantly related. The results indicate that expeditious expansion of the fiscal sector is obligatory to stimulate economic growth in India and advance the actual development of the economies of these states.

Letter to the Unknown Indian Kisan

&lt;p&gt;This letter is an expression of gratitude, from two students of social movements in India who are currently working in the USA, to the thousands of unknown Indian kisans (peasants). In 2020-21, peasants from across the country protested and participated in a movement widely known as anti-farm law movement—which was, in turn, triggered by the passage of three laws, together known as the farm laws, that aimed to liberalize agricultural commodity production and marketing. But what started out as a movement with a limited purpose soon morphed into a statement against the high-handedness of the Indian state. Through this letter, we pay a tribute to the farmers who drew inspiration from diverse intellectual strands including Gandhiism and Ambedkarite philosophy to craft a profound statement to highlight the precarity experienced by the farmers and in defense of India’s democratic ethos.&lt;/p&gt;

Tackling water scarcity in agriculture—Asian Development Bank's perspective

Abstract‘Tackling water scarcity in agriculture’, which is the theme of the 25th Congress of the International Commission on Irrigation and Drainage (ICID), is at the crux of the global challenge of ensuring a climate‐resilient and water‐ and food‐secure world for future generations. The Asian region faces significant threats due to its high vulnerability to climate change impacts and growing food insecurity and water stress across many river basins. The Asian Development Bank (ADB) is stepping up assistance in line with the international commitments by the multilateral financial institutions. There are significant opportunities that are tapped to address this theme, including (i) exploring and replicating highly successful experiences of enhancing irrigated agriculture productivity manifold as seen in the Indian states of Chhattisgarh, Karnataka and Madhya Pradesh and in other South Asian countries; (ii) reinvigorating efforts to operationalize integrated water resources management in river basins; (iii) adopting new technologies, such as remote sensing and automation, and digital technologies, including artificial intelligence; and (iv) pursuing institutional and financing innovations. Resources of ADB and other multilateral institutions can be utilized to develop and demonstrate successful innovations before they are replicated by the own sources of the developing countries.

Smart Tractor Reinvented for Safe Crops and Pesticides Control

This study addresses the challenges faced by rural Indian agriculture due to labor shortages and the migration of rural populations to urban areas. To mitigate these issues and enhance agricultural productivity, a novel solution is proposed: a GPS-guided autonomous robotic tractor equipped with advanced agricultural functionalities. The system incorporates features such as intruder detection, security measures, irrigation facilities, pesticide spraying, and environmental monitoring capabilities. With agriculture being the primary occupation in many Indian states, the significance of this innovation cannot be overstated. By harnessing autonomous technology, the project aims to optimize crop yields while minimizing labor requirements. The robotic tractor's design integrates basic components including DC motors, intruder sensors, a WIFI camera, and a solar panel for sustainable charging. The mechanical design prioritizes simplicity and functionality to ensure efficient operation in farm fields. Overall, this research contributes to the advancement of smart agriculture in rural India, offering a promising solution to the evolving challenges faced by the agricultural sector

Prevalence of polymyxin-resistant bacterial strains in India: a systematic review and meta-analysis.

Polymyxins, the cationic lipopeptide antibiotics, are the last line of therapeutics against the MDR Gram-negative bacterial (GNB) pathogens. Unfortunately, the rising cases of polymyxin-resistant strains from across the globe have adversely impacted their utility. While the molecular mechanisms responsible for developing polymyxin resistance (PolR) are largely understood, the prevalence of PolR strains in India has not been investigated systematically. The current study was undertaken to primarily determine the prevalence of PolR strains in India. Moreover, the extent of the spread of mobile colistin resistance (mcr) genes among the GNB strains in India was also determined. A systematic search for articles using the relevant inclusion and exclusion criteria was performed in the applicable databases for the period January 2015 to December 2023. The included 41 studies were subjected to a meta-analysis using the Comprehensive Meta-Analysis software (V4.0). Publication biases were assessed using funnel plots and Egger's regression analysis. Considering a total of 41 studies including 24 589 bacterial isolates the present meta-analysis found the rate of PolR bacteria in India to be at 15.0% (95% CI: 11.2 to 19.8). Among the Indian States, Tamil Nadu topped with the highest prevalence of PolR at 28.3%. Investigating the contribution of the mcr genes, it was observed that among the PolR strains, 8.4% (95% CI: 4.8 to 14.3) were mcr positive. The study determined the prevalence of PolR strains in India at 15.0%, which is higher than that of the global average at 10%. The study also determined that 8.4% of the PolR strains carried the mcr genes. The mcr-positive strains reported from India could be an underestimation of the actual numbers due to the non-inclusion of mcr screening in many previous studies. This study provides insight into the state of the PolR situation in India, which may be useful to develop a monitoring strategy to contain the spread of such strains and preserve the efficacy of the polymyxins.

Determinants of Road Traffic Crash Fatalities: A Case of Road Accidents in India, 2004–2018

The purpose of this study is to determine the factors that influence deaths in road accidents in India. The study uses panel econometric methodologies such as the fixed effects model, random effects model, and Hausman–Taylor instrumental variable technique to achieve this goal. Unobserved heterogeneity between states/union territories (UTs) and time is accounted for by time-fixed and state-fixed effects. Based on the panel data set from Indian states/UTs for the period 2004–2018, the study confirms previous results that motorisation, population, urbanisation and income level are all potential contributors to road accidents and fatalities. It also shows that spending on health care and law enforcement appears to help the Indian states minimise mortality in road traffic accidents. On the one hand, spending on health care facilities can provide health-related assistance to persons who have been involved in traffic accidents; on the other hand, spending on police increases the enforcement of rules, resulting in a reduction in traffic accidents. Thus, to lessen the economic and financial cost of road accidents in the country, the government should focus on boosting both per capita health expenditure and per capita police expenditure. JEL Codes: C23, C26, H51, I18, L92, O18, R41, R42

Descriptive, Hospital-Based, 10-Year Study of Malaria Transmission in Goa, a Southwest Indian State in the Malaria Elimination Phase.

The South Asia International Center of Excellence for Malaria Research, an NIH-funded collaborative program, investigated the epidemiology of malaria in the Indian state of Goa through health facility-based data collected from the Goa Medical College and Hospital (GMC), the state's largest tertiary healthcare facility, between 2012 and 2021. Our study investigated region-specific spatial and temporal patterns of malaria transmission in Goa and the factors driving such patterns. Over the past decade, the number of malaria cases, inpatients, and deaths at the GMC decreased significantly after a peak in 2014-2015. However, the proportion of severe malaria cases increased over the study period. Also, a trend of decreasing average parasitemia and increasing average gametocyte density suggests a shift toward submicroscopic infections and an increase in transmission commitment characteristic of low-transmission regions. Although transmission occurred throughout the year, 75% of the cases occurred between June and December, overlapping with the monsoon (June-October), which featured rainfall above yearly average, minimal diurnal temperature variation, and high relative humidity. Sociodemographic factors also had a significant association with malaria cases, with cases being more frequent in the 15-50-year-old age group, men, construction workers, and people living in urban areas within the GMC catchment region. Our environmental model of malaria transmission projects almost negligible transmission at the beginning of 2025 (annual parasitic index: 0.0095, 95% CI: 0.0075-0.0114) if the current control measures continue undisrupted.

Determinants of electric vehicle adoption: insights from Indian states

PurposeElectric Vehicles (EVs), owing to their low carbon emissions, have gained immense importance in achieving net-zero emissions by 2070. They have also appeared as viable substitute to conventional vehicles. Aligning with global initiatives, India has created a favourable ecosystem and has implemented several policies since 2011 to achieve its target. Consequently, the market share of EVs has surged, both globally and in India, over the past decade. Taking this into account, this study aims to identify the factors that influence EVs in a developing economy using the context of India.Design/methodology/approachThis study identified important determinants of EV adoption from global literature and employed a multiple linear regression model (MLRM) using the ordinary least squares (OLS) technique. Secondary data were utilised to identify determinants in the Indian context, sourced from the Ministry, NITI Aayog, AQI, the Lok Sabha Question, and the Economic Survey of India.FindingsThis study found that the number of charging stations and local pollution levels significantly influence EV adoption in India. The insignificance of the other variables may be due to the emerging state of the Indian EV market.Originality/valueThis study adds to the growing body of literature on EV adoption in developing economies by analysing the factors that impact its adoption using regional data. In addition, this study provides a unique perspective on a developing economy and advocates a comprehensive policy for EV adoption that reflects long-term sustainability.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0479.

How do households living in arsenic-contaminated regions value safe drinking water in western Bihar, India?

Access to safe drinking water is a critical concern, particularly in areas affected by arsenic contamination. In Bihar, an Indian state, 13 districts are facing groundwater contamination. The report of Ministry of Jal Shakti, Government of India (2021), reveals that about 24 habitations from five districts of Bihar are affected by arsenic groundwater contamination, impacting about 71,946 population and their health and economic conditions. The objectives of the present study are to determine factors that impact households' WTP for arsenic-free drinking water and estimate the mean willingness to pay (WTP) for arsenic-free drinking water. The primary data from 300 households was collected following simple random sampling, and villages were selected through a multi-stage sampling method. The study uses a single-bound dichotomous choice method for WTP elicitation and applies a probit model to determine factors affecting households' WTP for arsenic-free safe drinking water. The mean WTP is estimated to be ₹ 216.68 per household/month, and results find that education, income, health expenditure, awareness level and high-risk exposure to arsenic are the most influential determinants of households’ WTP for arsenic-free drinking water. The influence of education and awareness level is positive, calling for conducting more awareness programs in the arsenic-contaminated areas in Bihar.

Rule of Informal Institutions in Democracy: Implications for Regional Disparity in an Indian State

This article attempts to understand and theorize the issue of persistent regional disparity within democratic structures using an institutional perspective. Institutional economists widely acknowledge the role of democratic institutions in improving redistribution and reducing inequalities. However, persistent regional disparity within democratic nations has become a cause of concern for both developed and developing nations. There is hardly any study that either attempts to develop a separate institutional framework to explain regional variation or to examine the applicability of these frameworks in the regional context. Our article is an attempt to fill this gap. In this article, we have taken the case of Odisha, a low-income state within the largest democracy in the world, India, and tried to theorize its wide and persistent regional disparities. The novelty of this article is conceptualizing the interactions between formal and informal institutions and drawing implications of their interactions for regional disparity and economic growth.

Sociocultural Factors Influencing Marital Satisfaction in Modern India: A Large-Scale Survey Analysis

This research paper investigates the sociocultural factors influencing marital satisfaction in modern India, focusing on how traditional and emerging sociocultural dynamics shape marital outcomes in the context of rapid societal changes. Utilizing a descriptive, cross-sectional survey design, the study collected data from 2,000 married individuals across various Indian states using structured questionnaires. The methodology included stratified random sampling and data analysis through Structural Equation Modeling (SEM) to assess the direct and indirect effects of sociocultural variables on marital satisfaction. Key findings indicate that egalitarian gender roles, economic stability, and effective communication significantly enhance marital satisfaction, while urbanization and traditional family structures have complex influences. The study underscores the buffering role of traditional family support against the stresses of modernization. The results highlight the importance of tailoring marital counseling and interventions to regional and cultural specifics, suggesting that policies aimed at enhancing marital satisfaction should consider the broader sociocultural context. These insights are crucial for stakeholders aiming to develop programs that foster healthier marital relationships in a culturally diverse society like India.

Interstate Disparity in Combating COVID-19 in India: Efficiency Estimate Across States

Currently, COVID-19 is the most lethal menace in the world. Due to its health and economic consequences, it becomes a serious challenge for the economy. The present article aims to explore India’s interstate disparities of efficiency in combating COVID-19 based on secondary data. Besides, an attempt has been made to pinpoint the factors responsible for the inefficiency of resisting this deadly virus. The interstate efficiency measurement is facilitated by applying stochastic production frontier analysis. The empirical result divulges that among the Indian states, Bihar is the most efficient in combating COVID-19. The empirical estimation of the frontier model discloses that the number of doctors, nurses, police force, isolation beds and hotspots positively and significantly influence the recovery rate from COVID-19 in Indian states. The empirical results of the inefficiency effects model suggest that the share of elderly and urbanisation reversely influence the efficiency in combating the virus, while favourable sex ratio, literacy rate, regular salaried employment, digitalisation and ruralisation stimulate the efficiency of the concerned state. The study concludes that efficient utilisation, coupled with the advancement of the existing health infrastructure, is imperative for the acceleration of the recovery rate from this pandemic.

Benefits of new generation farmers’ collectives: case reflection from an eastern state of India

ABSTRACT The current study uses field survey data from members of five farmer producer companies in the eastern Indian state of West Bengal and assesses the benefits of membership. The real income of member farmers increased by more than 30 per cent after joining farmer producer companies. The access to inputs like seeds, farm chemicals, and farm machines; to weather advisory and storage services; and also, to output markets, improved after joining farmer producer companies. The members were found to market 100 per cent of their produced food grains through farmer producer companies at minimum support prices. Member farmers were found to have stronger networks and greater temporal and informational efficiency. With nearly 40 per cent of members women, these farmer producer companies have emerged as instrumental in empowering them, improving their livelihood and incomes in the patriarchal and rural societal setup. However, even though these collectives are benefitting the rural economy, it was also found that more investment is needed to create local infrastructure.

Process evaluation of a complex, multilevel, multicomponent scheme for the prevention and control of non-communicable diseases in Tamil Nadu, India: A mixed-methods protocol

BackgroundNon-communicable diseases (NCDs) are the leading cause of morbidity and mortality in India, necessitating development of multilevel and multicomponent interventions. Makkalai Thedi Maruthuvam (MTM) is a complex multilevel, multicomponent intervention developed and implemented by the south Indian State of Tamil Nadu. The scheme aims to deliver services for preventing and controlling diabetes, and hypertension at doorstep. This paper describes the protocol for planning and conducting the process evaluation of the MTM scheme. Methods and analysisThe process evaluation uses mixed methods (secondary data analysis, key informant interviews, in-depth interviews, conceptual content analysis of documents, facility-based survey and non-participant observation) to evaluate the implementation of the MTM scheme. The broad evaluation questions addressed the fidelity, contexts, mechanisms of impact and challenges encountered by the scheme using the Consolidated Framework for Implementation Research (CFIR) framework. The specific evaluation questions addressed selected inputs and processes identified as critical to implementation by the stakeholders. The CFIR framework will guide the thematic analysis of the qualitative interviews to explore the adaptations and deviations introduced during implementation in various contexts. The quantitative data on the indicators developed for the specific evaluation questions will be cleaned and descriptively analysed.

Limitations and Determinants of Activities of Daily Living Among Older Adults in Assam: LASI (Wave-1) Analysis

BackgroundThe entire concept of aging gracefully involves maintaining the independence and quality of life among the older adults, with a particular emphasis on the ability to perform Activities of Daily Living (ADL). The number of older adults in the country has grown subsequently, with their dependence on care-givers which has also increased. ObjectivesThe study attempts to understand the prevalence and determinants of the limitations of Activities of Daily Living (ADL) among older adults aged 60 and over living in Indian state of Assam. MethodsThe study use the Longitudinal Ageing Study in India (LASI, 2017–18) Assam data, and information was sought from 816 older adults aged 60 years and above. An index of ADL was created on a scale of two levels, having no levels of ADL and having ADL limitation. ResultsAround 18% of the older adults reported ADL disability. Females had higher prevalence of ADL than males (22% v/s 14%). Those aged 70 plus were also more likely to have ADL functional limitation (OR= 1.78, CI= 1.61-1.96) than those aged 60-69 years. Older adults not involved in any physical activity were more likely to report ADL (OR=1.50, CI=1.34–1.68) than their counterparts. ConclusionThe findings of the study call for action to have geriatric care centres as the need of the hour, to promote exercise and other recreational activities that will help the old keep physically active and increase social-participation.

Interview with Somesh Kumar

ABSTRACT In this interview, Haleema Badar and Partha Bhattacharjee discussed with Somesh Kumar on his significant contributions as an illustrator and graphic designer. Recently, he published an online graphic novel called ‘Little by Little,’ where he shares stories from his family and childhood. Somesh Kumar’s graphic novel ‘Little by Little’ is memoir that tells him growing up in different parts of the Indian state of Bihar and his journey of becoming an illustrator and graphic designer. In this series, Kumar also sheds light on his evolving relationship with his father who eventually turns into an alcoholic. Readers can access his graphic novel via the given link: http://www.littlebylittle.online/. This interview was conducted via email. The questions were e-mailed to Somesh Kumar and he typed down his answers in reply to the sent email.

Mapping coexisting hotspots of multidimensional food market (in)accessibility and climate vulnerability

With the increasing likelihood of agricultural production failures under a warmer global climate, the importance of markets in providing access to nutrient-dense foods (NDFs) through trade is predicted to grow. However, regions with relatively poor access to markets and supporting infrastructures (e.g. roads and storage facilities) are potentially ill-equipped to deal with both short-term hydrometeorological hazards such as droughts and floods, and longer-term shifts in agricultural productivity. Despite the increasing focus upon markets within academic and policymaking circles, a regional-scale assessment of these potentially coexisting hotspots of vulnerability has not been conducted. We conduct a two-stage geospatial analysis integrating three publicly available datasets across the Indian states of Bihar, Chhattisgarh, Jharkhand, and Odisha. Combining the 2011 national census with the new PMGSY-GeoSadak database, we conduct nearest neighbour analysis to measure multidimensional market inaccessibility by: (i) distance from a settlement to its nearest village, town or city with a market, (ii) distance from a settlement to its nearest major road, and (iii) distance from a settlement to its subdistrict headquarters. We then correlate these measures with India’s only district-wise assessment of climate vulnerability to identify hotspots of market inaccessibility and climate hazards. We find that the three market access measures are spatially autocorrelated and positively interrelated at the settlement (n = 129 555) and district (n = 107) levels, meaning that settlements located further from their nearest market tend to experience poorer road connectivity and access to the subdistrict economic hub. Approximately 18.5-million people live in districts with relatively high climate vulnerability and relatively high and multidimensional market inaccessibility. Hotspots of coexisting vulnerabilities are also disproportionately populated by ‘Schedule Castes and Schedule Tribes’ (SC/ST) communities. The identification of coexisting hotspots has important implications for the development of equitable and resilient markets that bolster NDF access for climate vulnerable and nutritionally insecure populations.