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According to the 70th round of the National Sample Survey published by the Government of India in 2014, the incidence of indebtedness among households in the rural areas of Telangana state, India, is twice that of rural all-India. Around 59 per cent of rural households are indebted in Telangana as against 31 per cent all-India. The purpose of this paper is to examine the extent and magnitude of indebtedness among rural households in the Medak district of Telangana state. Further, the authors wanted to identify the sources of credit to these households and for what purpose the loans were utilised.

To achieve the objective, the authors conducted a primary-level household survey in one of the distressed districts in newly formed state. The authors applied the Bayesian and the Lasso regression methods to identify the factors that impact indebtedness of a household.

The OLS results based on the Lasso regression results show that among all the explanatory variables, principal occupation, use of modern technology, the rate of interest, household medical expenditure and source of loan are significant, indicating that these variables significantly affect the loan taken by the farmers in the study area. The study shows that alternative sources of non-farm income and promotion of modern technology in agriculture can reduce the incidence of farmers’ indebtedness in India.

The paper contains significant information with regard to indebtedness. It focusses on the issue troubling the authorities the most. It provides the ground realities of the incidence of indebtedness in Medak, one of the most distressed districts of Telangana, a Southern Indian state. There have been very few similar studies done in the newly formed state. The paper has employed an advanced statistical technique, i.e. Heckman’s selection regression technique, to study farmers’ indebtedness in India. It provides a means of correcting for non-randomly selected samples, which otherwise can lead to erroneous conclusions and poor policy.

According 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.

To 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.

The 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.

The 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.

This 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.

It 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.

The 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.

The purpose of this paper is to understand the factors determining the incidence and extent of indebtedness among agricultural households in rural India.

This study is based on a nationally representative survey carried out under the 70th Round of the National Sampling Survey Office (NSSO) across rural India. Data on household characteristics, farming characteristics, indebtedness and extent of outstanding credit have been extracted from the comprehensive survey data. Four research hypotheses have been formulated and tested using simple statistical techniques. Further, using the Heckman Selection Model, the study assesses the factors determining the agrarian indebtedness among households in rural India.

The results from the descriptive analysis show that there is a significant difference in socio-economic and farm characteristics of indebted and non-indebted households. Further, the level of indebtedness differs across sources of the loan, landholding sizes and geographical locations among agricultural households. The results of regression analysis clearly indicate that household characteristics, farm characteristics and sources of loan determine both the incidence and extent of indebtedness among agricultural households.

The main limitation of the study is that only the data giving information regarding the amount of outstanding loans have been collected, and there is no information regarding the amount of credit availed, the purpose and the due date of payment. Further, there is scope to improve the robustness of the empirical model by adding and modifying explanatory variables.

There are only a limited number of empirical studies providing an understanding of the factors determining the indebtedness of agricultural households in rural India. Hence, this study is a good value addition to the existing literature.

The purpose of this paper is to provide quantitative analysis of the extant literature on farmer distress resulting from agricultural credit and identify research gaps.

The authors have used the citation analysis which is based on the citation graph. For the current study, the authors have used SCOPUS database.

The study reveals that the farmer distress is one of the social sustainability issues which have attracted major attentions from academia. Most of the studies in recent years are from South Asian perspectives and the extant literature focusing on some of the important issues like farmer challenges and pesticide poisoning. Most of the studies provide anecdotal evidences. Hence, the empirical research is scant.

The study is an attempt to provide an in-depth analysis, so that future research directions can be formulated.

The purpose of this paper is to combine the critical parameters used to study financial inclusion into a composite index. The idea is to rank Indian states and union territories (UTs) on the basis of this index, determine change in ranks during 2011 to 2014 and identify factors affecting high/low scores on the index.

Data for the study were collected from secondary sources published by Reserve Bank of India (RBI) and Central Statistical Organization. Applying technique of order preference by similarity to ideal solution (TOPSIS), a composite multi-dimensional index of financial inclusion (IFI) has been built by using three broad parameters of penetration, availability and usage of banking services. Factors significantly influencing scores of states/UTs on IFI were identified using multiple regression analysis.

The value of financial inclusion for India on composite IFI has increased by 0.045 points during the study period. Share of agriculture to state gross domestic product, literacy ratio, population density, infrastructure development and farmer suicides are significant factors affecting financial inclusion.

The multi-dimensional IFI is a useful tool to measure financial inclusion using several parameters for various states/regions. The index can also be used to compare the performance of states/regions over same/different periods.

This paper is unique in its attempt to construct multi-dimensional IFI for Indian states/UTs by applying TOPSIS. It will prove useful for future researchers by combining several aspects of financial inclusion into single index.

The purpose of this paper is to investigate the performance of the revolving fund (RF) regarding the ability of smallholder debtors to retrieve land title deeds, and also to examine the factors influencing the outstanding debts and percentage of outstanding interest of the smallholders in the Central and Northeastern regions of Thailand.

Primary data were collected from 430 debtors in the Central and Northeastern regions of Thailand in order to compare the differences in livelihood assets as well as their opinions on benefits derived from the operation of the RF. Secondary data were also collected from the RF administration, in order to evaluate the effectiveness and efficiency of the fund. Heteroskedasticity-corrected ordinary least squares and Tobit regression models were employed to examine the factors influencing the outstanding debts and percentage of outstanding interest of the smallholders, respectively. Furthermore, the student’s t-test was used to examine the differences in the livelihood assets among debtors in the two regions; and one-way analysis of variance (ANOVA) was used to examine differences in livelihood indicator scores among the three types of debtors.

The empirical results revealed that the RF is effective as the fund could provide loan to smallholders to enable them redeem their land title deeds from their previous creditors. The t-test results reveal significant differences in the livelihood assets among debtors in the two regions. One-way ANOVA indicates differences in livelihood indicator scores among the three types of debtors. The results of the heteroskedasticity-corrected ordinary least squares regression revealed that being married, low frequency of floods and less influence of third parties significantly reduced the outstanding debts. The results of the censored Tobit regression revealed that increased frequency of meeting with the RF administration, less influence of third parties, high land potential and interaction of age and experience significantly decreased the percentage of outstanding interest.

It is imperative to intensify information and education regarding the regulations, payment terms and modalities to clients in order to facilitate repayments of the loans disbursed. The organization of the RF should pay particular attention to the role of the committees involved, information administration and loan repayment monitoring. The RF should increase the frequency of meetings with smallholders, minimize the influence of third parties and give priority to old and experienced smallholders who possess land with high potential for earning incomes to enable them repay the loans.

To the best of the authors’ knowledge, this is the first study that examined the effectiveness of the RF to enable smallholders retrieve their land title deeds.

This paper investigates the mediating role of access to finance and entrepreneurial education for small and marginal farmers (SMFs) in the Indian northern state of Punjab. Furthermore, it examines the inter-mediatory role of entrepreneurs and the access to finance in the promotion of innovation, development and consequently poverty alleviation.

To gain a deeper insight, we used a purposive sampling technique, involving in-depth, face-to-face interviews based on a semi-structured questionnaire amongst 185 farmers from the state of the Punjab in India. The combination of open ended and dichotomous questions amenable to the Likert scale, captured responses and the transcribed questionnaires were thematically analysed.

Using the analysis of the quantitative and qualitative responses, we explain the cause and consequences of the finance gap and the impact of poverty on household income and the debt levels of SMFs. The findings suggest that the expanding pool of SMFs is due to land ownership fragmentation that disenfranchises SMFs from accessing adequate finance thus limiting their ability to adapt to technological innovations, and therefore limiting their productivity and growth. This essentially limits their ability to transform their economic and social wellbeing. The findings from the data analysis suggest a lack of access to finance negatively impacts on SMFs' ability to use innovative practices, technologies and productivity. This adversely affects income level, access to education and social goods to propel them out of poverty. The findings advocate that government policy should focus on land reforms, which provide adequate access to finance to enable the adaption of technology and an access to markets to empower marginal farmers.

Land fragmentation resulting with population growth in emerging economies continuously expands SMFs. To improve efficiency, productivity and entrepreneurial traits amongst SMFs, it is a pre-requisite to have an agile economy. However, in emerging economies such as India, the responses of 185 farmers suggest, a bespoke policy to promote the interest of SMFs through enabling them access to finance, technologies, training and education, continues to prove elusive. This novel empirical research provides evidence that demands that policymakers, commercial institutions and donors need to respond to the needs of SMFs to ensure food security and an optimal utilisation of farmland. The limitation of this research is that the sample is from one country, which limits its generalisation. The findings of this study could be enhanced by conducting comparative studies in other regions or economies.

This empirical study examined the barriers to enterprise for SMFs in the Indian Punjab; it examined the causes and consequences and the implications for food security for India. The findings of this study highlight the importance of developing the entrepreneurial capabilities of SMFs through effective education, training and above all through an adequate access to finance to enable them to adapt their technology. Furthermore, the findings make a case as to why SMFs are an integral part of the food chain and why it is necessary to enhance their efficiency, productivity and their access to finance.

This paper aims to study how multinational enterprises (MNEs) can best integrate legitimacy concerns into their new product-launching strategy to successfully introduce high-value hi-tech innovations in emerging countries.

Theoretical constructs on the role and process of legitimacy construction for the introduction of a new product are built upon the existing literature. Then they are validated and refined through the formulation and analysis of case studies of the launch of genetically modified cotton seeds by Monsanto in India and a HIV/AIDS drug cocktail by Merck in Brazil.

Legitimacy construction can serve MNEs to face challenges successfully while launching high-value hi-tech products in emerging countries. Challenges to MNEs are likely to be founded on a combination of four types of uncertainties: technological, commercial, organizational and societal. Expected challengers are public agencies and actors representing civil society. An MNE can prepare itself through legitimacy construction along three dimensions: redesign of technology, revision of marketing strategy and non-market investments. To implement the aforesaid, MNEs can engage in outreach in the form of strategic patience, market transaction, business collaboration, compromise and/or confrontation with diverse carefully chosen stakeholders.

The authors limited ourselves to tracing only the formal interactions of MNEs, while it is well-known that many informal and backdoor activities can also accompany their growth in emerging economies.

Legitimacy construction can help MNEs face challenges successfully while launching high-value hi-tech products in emerging countries. This calls for an evaluation of the systemic uncertainties followed by the formulation of a strategy for legitimacy construction and implementation through outreach to diverse systemic actors. Strategic patience can yield positive returns. Market transactions can serve as economic anchors. Collaboration can be pursued with parties who can share the costs of legitimization construction and/or reduce technological and marketing uncertainties. Confrontation should be the last choice. Compromise is the most probable but not the only outreach strategy possible after a confrontation.

Legitimacy implies product acceptance not only from the targeted consumer but also other societal stakeholders concerned with the safety and equity of the consumption in the emerging country, especially when regulations are not well-defined and/or implemented. The two kinds of societal stakeholders which are likely to monitor MNEs are public agencies and civil society groups. Public agencies will be concerned about the quantity, quality, technology or price of the innovation to be introduced. Civil society and NGOs may help the MNE act as citizen watchdogs for the environment and vulnerable communities.

Theoretical constructs have been developed in this paper on the sources of challenges in new product introduction, the types of challengers and the components of the firm’s legitimacy construction strategy and its implementation through an outreach strategy.

Through this case, the students will be able: to study how developments in the external environment impact businesses, in general, and banking sector, in particular, banks/banking, environmental management, financing/borrowing, government, political business risk and politics; to identify the politico-legal constituents of the external environment which significantly influence businesses; and to analyse the pros and cons of loan-waivers as a policy decision on various stakeholders including banks, borrowers, governments as well as the larger society.

The case is symptomatic of the dilemmas faced by the Indian bank employees, in charge of loan-disbursals, torn between seemingly contradictory demands from their top management and the governments.

The case is meant to be used in the course on “Business Environment” both at the UG and PG levels. It can be used along with the module on “External Environment and its Constituents” to augment students’ understanding of the “Impact of Political Environment on Business.” The case can also enrich the class discussion on the PEST (politico-legal/economic/socio-cultural/technological) framework for analysing the forces in the external environment acting upon a business.

Teaching notes are available for educators only.

CSS 4: Environmental Management.

By examining the role of farming attitudes and motivations, the aim of this paper is to provide a framework for better understanding farmers' behaviour in relation to the decision to obtain credit.

Using a nationally representative survey of farm operators in Ireland, this paper derives explanatory variables (based on a factor analysis of respondents mean ratings of 13 attitudinal statements) representing three different farming motivations. An ordered logit model is then formulated to examine the effect of farming attitudes as well as personal characteristics and farm structural variables on the degree of indebtedness.

Personal characteristics of the farmer such as age and education as well as farm structural variables such as farm size and farm system were all found to strongly affect decisions in relation to credit use. The study identified how farmers are not just driven by business related goals such as maximising profits but are also strongly motivated by productivist tendencies and perceived lifestyle benefits associated with farm work. These underlying farming motivations were, in turn, found to have a differential impact on credit use. Specifically, business orientated attitudes were found to provide a prime incentive for farmers to borrow funds. On the other hand, farmers who strongly value the benefits associated with the farming lifestyle were less likely to look for credit.

Past research has focused on the effect of socio‐demographic characteristics and farm structural variables in examining differences in farm indebtedness. This study extends this literature by specifically examining the role of farming attitudes. Obtaining a deeper understanding of the factors that affect the level of farming debt will be important as the degree of indebtedness has been found to affect farmers' management decisions. Outside of explaining farm credit use, farming attitudes and motivations may have an important impact on farmers' behaviour in relation to a variety of farm activities.