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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.

We developed a model to demonstrate how multiple interrelated aspects of a firm influence its recourse to third-party financing, which frequently depends on the characteristics of each food production chain.

We conducted an empirical research on a relevant sample of small- and medium-sized Italian dairy firms. Our research methodology is inspired by the grounded theory (Glaser and Strauss, 1967).

Our findings illustrated that firm indebtedness is the result of intertwined variables, linked to different firm dimensions, including growth, financial structure and economic dynamics.

A portion of the analysed phenomenon is not explained using the sample and econometric tools.

There are practical implications for the decision-makers in a firm (in particular, the managers and the shareholders) as the model allows to evaluate the influence of a set of mutually interdependent firm variables for the indebtedness level.

First, we considered the recourse to third-party financing within the context of the systems theory (Millová and Blatný, 2015) and from the perspective of linked causes and mutually connected variables. Second, our research focussed on a well-defined food chain and on features of firms operating in this context. Last, our model considered the impact of the recent economic crisis, which motivated us to review the existing models.

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 main purpose of this study is to investigate the determinants of foreign exchange reserve accumulation in a foreign exchange constrained economy, namely Ethiopia, over the period of 1981 up to 2017.

In this study, autoregressive distributed lag (ARDL) model is used. Besides, standard unit-root tests such as augmented Dickey Fuller (ADF) and Phillips–Perron (PP) tests are employed to check for the stationarity of the series.

According to the results of unit-root tests, our variables are found to be a mixture of I(0) and I(1), and none of our series is I(2). The results of our ARDL model indicates, in the short run, foreign exchange reserve accumulation of Ethiopia is negatively and significantly affected by inflation rate and exchange rate. But, in the long run, inflation rate affects foreign exchange reserve positively and significantly. Additionally, in the long run, external debt affects foreign exchange reserve positively. Similar to its effect in the short run, exchange rate also affects foreign exchange reserve negatively in the long run.

This paper has its originality as it contributes in reasoning out the factors determining, both in the short-run and long-run, foreign exchange deficiency in any developing country with foreign exchange deficiency, taking Ethiopian economy as a case study, and fills the scarce literature on the determinants of foreign exchange reserve accumulation in a developing country.

The purpose of the paper is to examine the linkages between exchange rate and interest rate in India using quarterly data from Q1 of 1996 to Q4 of 2014.

Stationarity properties of data are checked using the Augmented Dickey–Fuller (ADF), Dickey–Fuller test with GLS de-trending (DF-GLS) and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) tests and Perron’s unit root test with structural breaks. Johansen Juselius and Gregory Hansen tests are applied to assess cointegration, and block exogeneity test is used to detect causality among variables.

The study finds long-run relationship among interest rate, rupee–dollar exchange rate, capital flows, intervention, inflation differential, money supply differentials, output differentials and trade-balance differentials. However, the interest rate does not explain movements in the exchange rate, directly and indirectly, via capital flows. Intervention by the Central Banks to stabilize exchange rate does not have implications for movements in interest rate.

The study finds capital flows to be insensitive with respect to interest rates and hence thwarts International Monetary Fund ’s (IMF) claim of using interest rates as a tool to stabilize exchange rate. The much-debated conflict between exchange-rate stabilization and control over interest rates also does not hold up to the empirical reality of India.

The study augments the existing literature by taking into account the problem of structural break in the relationship between interest rate and exchange rate. Three measures of interest rate are used to assess the robustness of results adding to their credibility compared to previous studies.