Distress In India Research Articles

Responses to Livelihood Precarity in Dryland India: Diversifying Out of Agrarian Distress

ABSTRACTScholars of critical agrarian political economy see agriculture in liberalization‐era India as a form of disguised unemployment, part of wider agrarian distress. This article engages with literature differentiating the class/caste responses to agrarian and non‐farm livelihood distress in India to understand the different diversification options that households have available. The article draws on research carried out in a village in dryland, Bt cotton‐dependent Telangana in south India to show these variegated practices. While Other Backward Caste households invested in livestock to cope with heavy Bt cotton investments and losses, Scheduled Caste households focused on the educated rural youth, relying on their non‐farm wage labour in jobs such as taxi driving. Despite rural–urban migration and higher levels of education, under/unemployment remains persistent for rural youth. In this context, Ryuthu Bandhu, a cash transfer programme pioneered in Telangana in 2018, proved crucial for rural livelihood survival in the study village, contributing up to 22 per cent of annual household incomes. However, negative average net incomes across all households show that attempts to diversify out of distress have been largely unsuccessful.

Agrarian Distress in Indian Agriculture: Causes, Socio-economic Consequences and Coping Strategies

Agrarian distress is the economic, political and social challenges faced by the farmers and rural communities due to factors such as low crop yields, fluctuating prices of agricultural produce, high input costs, indebtedness, and lack of access to credit, markets, and infrastructure. Over 8,00,000 individuals are dies by suicide each year because of various reasons. More over the suicides are happening in the families whose own land is less than 1-2 hectares, who are in debt, have been identified the most at risk for suicide. The present article aims at better understanding of the causes, consequences and possible coping strategies for the agrarian distress in India. Causes such as fluctuations in crop sales, weather and climate conditions, dependent on natural resources, etc. are discussed in detail. Consequences of agrarian stress are suicides of farmers, rural migration, food insecurity, environmental impacts and so on. Solutions such as strengthening the forward markets, comprehensive crop insurance schemes for the framers where the non-MSP (Minimum Support Price) crops also may be covered, assured price to the farmers are discussed. Many researchers argued that farmers suicides are increasing but the research is limited in the specialised area of interest. In addition to that, researchers are focussing only on the socio-economic variables rather than the psychological variables. In order to mitigate the risks out of agrarian distress, farmers should be encouraged by the government and extension service providers to take up the subsidiary occupations and secondary agricultural occupations which helps them in getting profits in the situations where the crop damages due to the extreme weather patterns. As rightly pointed out by National Bank for Agriculture and Rural Development (NABARD), distress of the framers should have a long-term potential solution such as major reforms in the existing agricultural laws rather than farm loan waivers which acts as the short-term relief to the farmers.

Unravelling agrarian distress in India: A comprehensive analysis of causes and manifestations

Unravelling agrarian distress in India: A comprehensive analysis of causes and manifestations

Predicting the Likelihood of Financial Statement Fraud Through Financial Distress in India

Predicting the Likelihood of Financial Statement Fraud Through Financial Distress in India

Stretch or Suppress: Role of Owners and Nominee Directors in Financial Distress

This study investigates the effect of various firm-level corporate governance mechanisms on the likelihood of financial distress in India. We analyze the competing hypotheses of interest alignment and agency theory, examining how controlling shareholders affect the probability of financial distress. Additionally, we assess the potential impact of institutional investor shareholding and bank-appointed directors on the likelihood of financial distress. Our findings suggest that increasing controlling shareholder ownership decreases the probability of distress. However, the effects of institutional investors and bank-appointed directors vary and also depend on the quantum of shareholding of institutional investors and affiliation with business groups. Our results offer insights into improving governance in economies with higher ownership concentration, weaker institutional frameworks, and greater bank participation in credit facilitation. JEL Codes: G32, G33, G34

Role of agricultural marketing channels in price realization: an empirical analysis of selected crops in India

PurposeThe provision of fair and remunerative prices to farmers through government intervention is one of the key debates to address the farmers' distress in India. This article identifies how different marketing channels are responsible for higher price realization over the officially announced minimum support price (MSP).Design/methodology/approachThe study uses the NSSO-SAS, 2012–13 and NSSO-SAS, 2018–19 for Aggregate level data and Unit Level Data on the Situation Assessment Survey of Farmers' households. It uses logit regression to determine the factors responsible for better price realization.FindingsOur major findings indicate that two factors importantly determine better price realization than MSP. Firstly, government agencies provide better prices for crops covered by MSP, such as paddy, wheat and cotton. However, the probability of receiving higher prices increases for some crops if the farmers belong to the upper land size classes and upper social category. Secondly, jowar, bajra, maize and ragi, other important crops that don't benefit from government agencies, may require higher levels of procurement at the state level.Research limitations/implicationsThe present study only analyzes selected major crops. Distance is an important factor in choosing a marketing channel that is not incorporated due to unavailability in NSS Data.Originality/valueThe study is based on the latest original empirical evidence and sheds light on the variation in price realization in different agricultural marketing channels in India.

Validation of the Transpersonal Gratitude Scale (TGS) and the Relationship between Transpersonal Gratitude, Spiritual Well-Being and Distress in India.

This study explores the psychometric properties of the transpersonal gratitude scale (TGS) in the Indian context. It also examines the relationship between transpersonal gratitude, spiritual well-being, and distress. The psychometric properties (reliability and validity) of the TGS were evaluated with the help of two studies. In the first study, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) reported a four-factor solution. These four factors- expression of gratitude, value of gratitude, transcendent gratitude, and spiritual connection- explained 74.1% of the total variance. Further, CFA results indicated an excellent model fit of four-factor structure derived from EFA. These findings recommended appropriate factorial validity of TGS in the Indian context. In the second study, Cronbach's alpha and composite reliability values recommended reliability of TGS among Indians. Also, the average variance explained (AVE) values and the Fornell-Larcker test concluded convergent and discriminant validity of the scale. In addition, positive correlations were reported between TGS, GRAT-16 (gratitude resentment and appreciation scale), and spiritual well-being scale scores. Also, a negative linkage was reported between TGS and distress score. These associations established criterion validity of the scale. Overall, the scale reported acceptable psychometric properties in the Indian context.

An Empirical Study of Indian Commercial Banks through Financial Distress Models

"This study has predicted commercial banks’ financial distress in India using the Altman Z-score model and the Emerging market model. All the Public sector banks listed in the National stock exchange were considered in this research from 2010 to 2019. The Altman Z-score formula is Z = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 1.0X5. The criteria for assessing a Z-score are > 2.99 is categorized as a safe zone; healthy banks will fall under this category. 1.80 < Z-score < 2.99 is the gray zone, banks falling under this category have a chance of being safe as well as going bankrupt. Z-score < 1.80 is a distress zone; banks’ falling under this category are at high risk of bankruptcy and may go bankrupt within two years. Emerging market model is Z = 3.25 + 6.56X1 + 3.26X2 + 6.72X3 + 1.05X4. The criteria for assessing emerging market Z-score are > 2.60 is categorized as a safe zone; 1.10 < Z-score < 2.60 is the gray zone and Z-score < 1.10 is a distress zone. Independent t-test was used test the hypothesis of the study. The results of both models (Altman Z-score model and Emerging market Z-score model) separately provided outcomes that were two extremes in the opposite direction. The findings of the emerging market Z-score model were more relatable to reallife observed (during the period selected for study) scenarios in the banks, i.e., both public sector as well private sector banks are in the safe zone."

From Farm to Fork: Early Impacts of COVID-19 on Food Supply Chain

COVID-19 pandemic has resulted in widespread global disruptions. While much is being discussed about the health and economic impacts, there has been a limited focus on the immediate food sector shocks and their related social implications in developing countries, especially when the farmer surveys cannot be conducted due to mobility restrictions in many countries. To overcome these challenges, this study uses news mining and content analysis of media articles published from February to April 2020, to assess the early impacts of the COVID-19 pandemic on the food supply chain and farm distress in India. It also presents the media perception of the impact of the pandemic and resulting policy measures using sentiment analysis, in addition to the cross-tabulation of results that show differential impacts across food supply chain components among different commodity groups and regions. The results show wide-scale impacts across different components of the food supply chain ranging from crop harvesting and processing, distribution and logistics to disruptions across food markets, as represented by 22, 11 and 30% of total articles, respectively. The impacts are also differentiated by commodity groups, with animal products having more trade and demand-side issues, logistic bottlenecks in fruits and vegetables and crops showing problems in labor availability and harvesting. Sentiment analysis of news items shows a spike in the negative sentiment immediately post the national lockdown, with relatively less negativity in subsequent weeks due to large-scale policy and community action. Sentiment classification along different indicators shows the highest negative sentiment for animal products (85%) in commodity groups, western states of India (78%) among different regions, and food supply (85%) and markets (83%) among supply chain components. Further, extreme weather analysis (using excess rainfall events) shows that farmers faced compound risks from the COVID-19 pandemic and extreme weather events in many parts of the country. The results highlight the importance of building resilient food systems, especially when the biotic and abiotic shocks are projected to increase globally due to many drivers including biodiversity loss and climate change.

On the determinants and prediction of corporate financial distress in India

PurposeThe main aim of the study is to identify some critical microeconomic determinants of financial distress and to design a parsimonious distress prediction model for an emerging economy like India. In doing so, the authors also attempt to compare the forecasting accuracy of alternative distress prediction techniques.Design/methodology/approachIn this study, the authors use two alternatives accounting information-based definitions of financial distress to construct a measure of financial distress. The authors then use the binomial logit model and two other popular machine learning–based models, namely artificial neural network and support vector machine, to compare the distress prediction accuracy rate of these alternative techniques for the Indian corporate sector.FindingsThe study’s empirical results suggest that five financial ratios, namely return on capital employed, cash flows to total liability, asset turnover ratio, fixed assets to total assets, debt to equity ratio and a measure of firm size (log total assets), play a highly significant role in distress prediction. The study’s findings suggest that machine learning-based models, namely support vector machine (SVM) and artificial neural network (ANN), are superior in terms of their prediction accuracy compared to the simple binomial logit model. Results also suggest that one-year-ahead forecasts are relatively better than the two-year-ahead forecasts.Practical implicationsThe findings of the study have some important practical implications for creditors, policymakers, regulators and other stakeholders. First, rather than monitoring and collecting information on a list of predictor variables, only six most important accounting ratios may be monitored to track the transition of a healthy firm into financial distress. Second, our six-factor model can be used to devise a sound early warning system for corporate financial distress. Three, machine learning–based distress prediction models have prediction accuracy superiority over the commonly used time series model in the available literature for distress prediction involving a binary dependent variable.Originality/valueThis study is one of the first comprehensive attempts to investigate and design a parsimonious distress prediction model for the emerging Indian economy which is currently facing high levels of corporate financial distress. Unlike the previous studies, the authors use two different accounting information-based measures of financial distress in order to identify an effective way of measuring financial distress. Some of the determinants of financial distress identified in this study are different from the popular distress prediction models used in the literature. Our distress prediction model can be useful for the other emerging markets for distress prediction.

Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis

BackgroundOlder people coming from a lower wealth gradient are more vulnerable to have stressful life events further adding more risk for common mental health disorders and psychological distress situations. The present study explores the associations between socioeconomic and health-related variables and psychological distress among older adults in India and the contribution of such factors to the inequalities in psychological distress.MethodsA cross-sectional survey of 9181 older adults conducted as ‘Building a Knowledge Base on Population Ageing in India’ was assessed. Logistic regression and decomposition models were used to analyze the data. Psychological distress was measured from General Health Questionnaire (GHQ-12). The value of Cronbach's alpha was 0.90. It was having a scale of 0 to 12 on the basis of experiencing stressful symptoms and was re-coded as 0 (representing 6+ stressful symptoms) and 1 (representing 5 and fewer symptoms).ResultsOlder adults from the poorest wealth quintile, having no source of income, not working for the last one year period, suffering from multi-morbidity, disabled, with low activities of daily living and low instrumental activities of daily living and poor cognitive ability were suffering from high psychological distress in India. Further, factors such as religion, caste, education, living arrangements, and self-worth in the family were major contributors to the concentration of psychological distress in older adults from poor households (concentration index: − 0.23).ConclusionThe study suggests that among older people, there is a wide disparity of experiencing psychological distress across different socio-economic groups with significant factors being responsible for inequality in psychological distress. There is a need to build a “win-win” circumstance across sectors, including a broad spectrum of health, social and economic benefits to the vulnerable older population.

A Class-Focused Theory of Minimum Support Price and Agricultural Distress in India

Minimum support price (MSP) is posed as a remedial response to the distress condition of Indian farmers. This essay dissects MSP and the debate regarding it from the class-focused theory of surplus labor. The analytical tool of class sets shows the limited scope of MSP compared to the disaggregated nature of the Indian agricultural sector and shows that the MSP policy debate is blind to class questions and their consequences. Bringing in various overdetermining and contradictory effects of class-related production and circulation processes, value theory is applied to unravel the dissimilar crisis conditions of agrarian enterprises. Once MSP is combined with class and other nonclass processes, it follows that the MSP outcome will not have uniform effects across enterprises and will not secure its self-proclaimed objective of redressing farmer distress.

British Humanitarian Political Economy and Famine in India, 1838–1842

AbstractThis article explores the nature and limitations of humanitarian political economy by discussing metropolitan British responses to a major famine that took place in the Agra region of north-central India in 1837–38. This disaster played a significant role in catalyzing wider debates about the impact of East India Company governance and the place of the subcontinent within the post-emancipation British Empire. By comparing the responses of organization such as the Aborigines Protection Society and British India Society to that of proponents of the newly emergent indenture system, the paper seeks to contextualize responses to the famine in terms both of longer histories of famine in South Asia and of the specific imperial circumstances of the late 1830s. In doing so, it explores how ideas of agricultural distress in India fed into competing strategies to utilize Indian labor in the service of colonial commodity production both within India and around the empire.

Farmers Suicide in India: Issues, Challenges and Remedies

The purpose of the study is to examine why Farmers suicide is a burning issue in India. Farmers are life savers then why they are killing themselves. Is there any nexus between farmers’ suicide and government actions. Agriculture sector data like GDP for 1960–2016, Share of agriculture sector to GDP and disparities in Agriculture and Non agriculture income also agriculture census data from 1951 to 2011 were obtained. Study depicts about what NSSO and NCRB data says about farmers’ distress in India. Doubling farmers’ income by 2022–23 could become the only panacea for thwarting farmers’ suicide in India comparison of agricultural income with non agricultural income also another area of study. In this way farmers suicide issues challenges and remedies has been discussed.

Impact of different sources of credit in creating extreme farmer distress in India

PurposeAccording to the published report by the National Sample Survey 2014 the data says that the incidence of indebtedness among households in the rural areas of Maharashtra, India, is almost twice that of other rural places in India. Around 64 percent of rural households are indebted in Maharashtra as against 31 percent other households in India. The purpose of this paper is to examine which source of credit is creating more distress among the farmers. Further the researchers also wanted to find out the reasons why the farmers choose private moneylender over the formal financial institutions.Design/methodology/approachTo achieve the objective, the authors used the mixed method methodology. The qualitative study was done using the ethnography approach .In depth interviews were conducted and coded accordingly to find out the themes. The interviews conducted were semi structured and had open ended questions in it, followed by a structured questionnaire. Different statistical tests were also applied on the responses obtained from the questionnaire to check the reliability and validity of the interviews. This methodology gave a robustness to the findings of the study.FindingsThe results show that sources of loan play a major role in causing farmer distress in Maharashtra. The findings also show major reasons like grapevine bureaucracy, lengthy documentation, etc. as the major reasons for choosing private lenders over the formal financial institutions. The most interesting finding of the study was a phenomena observed during the field study. The borrowers first borrow from financial institutions for their credit needs, when they fail to repay the debt borrowed they again borrow money from the private money lenders and with this borrowed money they try repaying a part of the old existing loan in order to make themselves eligible for the next loan cycle.Research limitations/implicationsThe limitation of the study is that due to time constraint only two districts with high number of farmer suicide could be visited. Given more time and fund a comparative study can be done among different states of India.Practical implicationsThis study will help the policy makers in identifying the real cause of farmer distress. The motive behind the policies made by the government is very noble but the implementation of these policies is inadequate and without a strong research base. The paper will be able to highlight how much the state intervention is required at multiple levels in order to ensure that the benefits reaches to those who deserve it.Social implicationsIt is imperative that we have yet not realized the gravity of the situation where people belonging from a community which is so essential to the economy are killing themselves because of lack of money. This is not just about the fact that the people who give us food are unable to access food themselves.Originality/valueThe paper contains significant information with regard to indebtedness. It focuses on the issue troubling the authorities the most. It provides the ground realities of the incidence of indebtedness in Maharashtra, one of the most distressed states of India. Lot of studies have been done in the past but very few studies have used mixed methodology to study this incidence of debt among the farmers of Maharashtra. This study also unveils a new phenomena of borrowing happening among the farmers of Maharashtra.

ISupport, an online training and support program for caregivers of people with dementia: study protocol for a randomized controlled trial in India

BackgroundDementia has a huge physical, psychological, social and economic impact upon caregivers, families and societies at large. There has been a growing impetus to utilize Internet interventions given the potential scalability, and presumed cost-effectiveness and accessibility. In this paper, we describe the design of a randomized controlled trial (RCT) aiming to study the impact of online self-help programs on caregivers of people with dementia in India. The experimental group will receive an interactive training and support program and the comparison group will receive an education-only e-book. It will be among the first online support intervention RCTs for a mental health condition in a lower-middle income country.Methods and designTwo hundred and eight participants are expected to be recruited via several strategies (email, Internet and social media, telephone and face-to-face) starting in the Bangalore region of India. The inclusion criteria for participation in the trial are: (1) being 18 years or older, (2) being a self-reported caregiver of a person with dementia, (3) self-report that a family member has a diagnosis of dementia (AD8 ≥ 2), and experience caregiver distress (≥ 4 on a 1-item burden scale ranging from 1 to 10 or ≥ 4 or < 20 on the Center for Epidemiologic Study-Depression (CES-D) scale (10-item) or ≥ 4 or < 15 on the Generalized Anxiety Disorder Scale (7-item).The intervention group will be offered iSupport, an online self-help training and support program, enabling a personalized education plan with a maximum of 23 lessons. These modules present a range of topics from “what is dementia?” to “dealing with challenging behaviors like aggression.” The comparison group will receive an education-only e-book containing similar content. The outcomes of this trial are: caregiver burden as measured by the 22-item Zarit Burden Scale, depressive symptoms, anxiety symptoms (primary outcomes), quality of life, person-centered attitude, self-efficacy and mastery (secondary outcomes).DiscussionBased on the findings of this trial, we will examine the potential use and scale up of iSupport for caregiver distress in India. This style of online self-help programs could be expanded to other regions or countries or to other suitable caregiver groups.Trial registrationClinical Trials Registry—India (CTRI), ID: CTRI/2017/02/007876.

Future irrigation expansion outweigh groundwater recharge gains from climate change in semi-arid India

Simultaneous effects of future climate and irrigation intensification on surface and groundwater systems are not well understood. Efforts are needed to understand the future groundwater availability and associated surface flows under business-as-usual management to formulate policy changes to improve water sustainability. We combine measurements with integrated modeling (MIKE SHE/MIKE11) to evaluate the effects of future climate (2040–2069), with and without irrigation expansion, on water levels and flows in an agricultural watershed in low-storage crystalline aquifer region of south India. Demand and supply management changes, including improved efficiency of irrigation water as well as energy uses, were evaluated. Increased future rainfall (7–43%, from 5 Global Climate Models) with no further expansion of irrigation wells increased the groundwater recharge (10–55%); however, most of the recharge moved out of watershed as increased baseflow (17–154%) with a small increase in net recharge (+0.2mm/year). When increased rainfall was considered with projected increase in irrigation withdrawals, both hydrologic extremes of well drying and flooding were predicted. A 100-year flow event was predicted to be a 5-year event in the future. If irrigation expansion follows the historical trends, earlier and more frequent well drying, a source of farmers' distress in India, was predicted to worsen in the future despite the recharge gains from increased rainfall. Storage and use of excess flows, improved irrigation efficiency with flood to drip conversion in 25% of irrigated area, and reduced energy subsidy (free electricity for 3.5h compared to 7h/day; $1 billion savings) provided sufficient water savings to support future expansion in irrigated areas while mitigating well drying as well as flooding. Reductions in energy subsidy to fund the implementation of economically desirable (high benefit-cost ratio) demand (drip irrigation) and supply (water capture and storage) management was recommended to achieve a sustainable food-water-energy nexus in semi-arid regions.

Idioms of Distress.

The presentations of psychosocial distress and cultural conflicts are often bodily symptoms, especially in traditional societies and village backgrounds. These might not meet the criteria of the current psychiatric diagnostic systems. Sociocultural milieu contributes to the unique presentations of the stress in the form of idioms of distress. The latter are alternative modes of expressing distress and indicate manifestations of distress in relation to personal and cultural meaning. Health professionals often consider these as hysterical, functional or having functional overlays, and abnormal illness behaviors. Management of idioms of distress would need cultural competence and sensitivity. This article highlights the common idioms of distress in India with specific focus on bodily symptoms.

Regulated Corporatisation of Agriculture in the Context of Farm Distress in India: A Study

Regulated Corporatisation of Agriculture in the Context of Farm Distress in India: A Study

Confronting Farmer Suicides in India

This article translates the realities and lifeworlds that encircle agrarian distress in India by mapping multiple affective responses from India’s middle classes to farmer suicides. Highlighting unheard voices first, specifically from the state of Punjab, it then analyzes discourses attempting to explain agrarian distress through farmer suicides. By mapping the contrasting terrain of multiple translations, the article seeks to reveal alternative ethico-political possibilities for responding to agrarian life and struggles.