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This paper aims to evaluate the effects of climate variables on the mean yield and yield variability of major pulse crops in the Telangana state of India.

Authors have estimated the Just and Pope (1978, 1979) production function using panel data at the district level of four major pulses in nine former districts of Telangana for 36 years during 1980–2015. A three-stage feasible generalized least squares estimation procedure has been followed. The mean yield and yield variance functions have been estimated individually for each of these study crops, namely, Bengal gram, green gram, red gram and horse gram.

Results have shown that changes in climatic factors such as rainfall and temperature have significant influences on the mean yield levels and yield variance of pulses. The maximum temperature is observed to have a significant adverse impact on the mean yield of a majority of pulses, and it is also a risk-enhancing factor for a majority of pulses except horse gram. However, the minimum temperature is positively related to the mean yields of the study crops except for Bengal gram, and it is having a risk-reducing impact for a majority of study crops. Rainfall is observed to have a negative impact on the mean yields of all pulses, but it is a risk-enhancing factor for only one crop, i.e. Bengal gram. Thus, rising temperatures and excess rainfall are not favorable to the productivity of pulses in study districts.

The present study is based on the secondary data at the district level and is considering only one state. Season-wise primary data, including farm-specific characteristics, could have been better. The projected climate change and its impact on the mean yields and yield variance of pulses need to be considered in a future study.

According to the best of our knowledge, this is the first study to empirically evaluate the impact of climatic variables on the mean yields and yield variability of major pulses in Telangana using a panel data for major pulses and nine districts of 36 years time-series during 1980–2015. The study has given useful policy recommendations.

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.

This study aims to determine the solutions to address the Indian attitude-behaviour inconsistency in the green purchasing context and provide the possible combinations of antecedents that aid Indian marketers in designing promotional and advertising strategies.

A non-probability criterion-based sampling technique was used in collecting the data across Hyderabad city of Telangana region through online survey technique. The respondents were the customers who were attracted towards green and eco-friendly products. A total of 129 responses were received. SPSS v26 software was used to conduct the descriptive analysis, and the two-step analysis approach of the measurement and structural model was conducted in SmartPLS.

Results indicate that interpersonal influence has a greater direct influence on green purchase behaviour (GPB); altruism’s influence on green purchase intention (GPI) and GPB is through environmental attitude (EA) and green awareness (GA). EA has a significant influence on GA and green behaviour (GB). The GA and GB individually act as potential mediators between EA and green consumption behaviour (GCB) variables. Perceived environmental knowledge (PEK) does not influence GPB directly or indirectly. Altruism still ranks at the fifth position among the six antecedents, indicating reciprocal determinism and not an altruistic purchase approach in the Telangana region.

The results of this study may be used by government agencies and policymakers to launch awareness campaigns aimed at educating the public and encouraging green buying practices among broader societal segments. These kinds of programmes could lessen the harm that inconsiderate consumption habits do to the environment and to society, increase the green behaviour practices like planting trees, and recycling, and also increase the consumer’s PEK.

To the best of the authors’ knowledge, the present study is the first to apply reciprocal deterministic theory along with theory of planned behaviour to predict Indian GCB and address the attitude-behaviour gap. Moreover, to the best of the authors’ knowledge, this is the first study to investigate together the direct and indirect influence of altruism, interpersonal influence and perceived environmental knowledge on green purchase behaviour. Given the growing trend of consumers adopting an eco-friendly mind-set, a novel approach to empirically discuss the behavioural and personal factors will give research the much-needed boost it needs.

This work examines the impact of institutional agricultural credit on crop productivity of some major crops such as paddy, cotton, wheat and pulses for small and marginal farmers across various social groups.

The cross-sectional field data on socio economic variables was collected from three Indian states from about 400 small and marginal farmers across various social groups using multi-stage stratified random and purposive sampling through a structured questionnaire by interviewing. The method of propensity score matching (PSM) was employed to calculate average treatment effect (ATE) and average treatment effect on the treated (ATET) by categorising sample farmers as treatment group and control group where crop productivity was considered as outcome variable and access to institutional credit was considered as treatment variable.

The PSM estimates reveal that ATE and ATET for all the selected crops are found to be significantly higher for the treated group vis-à-vis non-treated group suggesting that institutional agricultural credit has a statistically and significant positive impact on the crop productivity.

Similar study can be extended for more crops and across regions in India for a universal coverage.

The agricultural credit policy of India has been to increase the access and availability of institutional farm credit. This has led to in general increase in the flow of formal farm credit to agricultural sector. However, the impact of institutional credit and crop productivity especially for small and marginal farmers across social groups is not well recognized in India using field data. Accordingly, this field data study contributes to the existing research by providing fresh evidence from field across social groups for both kharif and rabi crops using recent survey data from small and marginal farmers which has important policy implications.

This paper purports to study and assess the impact of student satisfaction on various services offered by an educational institution offering management education and also the word of mouth communication (WoMC) done by such student in referring the institutions to others. The study aimed at various factors like core services, facilitating services and support services offered by institutions and measured the responses of the levels of satisfaction on a five-point Likert scale.

The sample size of the study consists of 873 students pursuing management education such as BBA, BBM and MBA, belonging to government colleges, private colleges affiliated to state university, private universities and deemed universities in the state of Telangana, India.

The attributes used in this work showed positive and noteworthy impact on the students' satisfaction level though with varying degree of strength as evident from the regression analysis. However, core services (teaching quality of the faculty, their expertise and experience, course electives offered, library facilities, academic counselling services, etc.) was the most influencing factor and has highest impact on satisfaction of students amongst all the variables. Also, the study reiterates that gender of the student does not have any significant impact on the students' satisfaction on the services offered by the institutions nor on the recommendations made by them to others for admissions.

This study is unique in evaluating the determinants of students' satisfaction in a management institution/school as well as their influence of the recommendations made by them to the prospective students through word of mouth (WOM).

With the ongoing drives towards Open Government Data (OGD) initiatives across the globe, governments have been keen on pursuing their OGD policies to ensure transparency, collaboration and efficiency in administration. As a developing country, India has recently adopted the OGD policy (www.data.gov.in); however, the percolation of this policy in the States has remained slow. This paper aims to underpin the “asymmetry” in OGD framework as far as the Indian States are concerned. Besides, the study also assesses the contribution of “Open Citizens” in furthering the OGD initiatives of the country.

An exploratory qualitative following a case study approach informs the present study using documentary analysis where evidentiary support from five Indian States (Uttar Pradesh, Telangana, West Bengal, Sikkim and Gujarat) is being drawn to assess the nature and scope of the OGD framework. Further, conceptualization for “Open Citizen” framework is provided to emphasize upon the need to have aware, informed and pro-active citizens to spearhead the OGD initiatives in the country.

While the National OGD portal has a substantial number of data sets across different sectors, the States are lagging behind in the adoption and implementation of OGD policies, and while Telangana and Sikkim have been the frontrunners in adoption of OGD policies in a rudimentary manner, others are yet to catch up with them. Further, there is “asymmetry” in terms of the individual contribution of the government bodies to the open data sets where some government bodies are more reluctant to share their datasets than the others.

It is the conclusion of the study that governments need to institutionalize the OGD framework in the country, and all the States should appreciate the requirement of adopting a robust OGD policy for furthering transparency, collaboration and efficiency in administration.

As an “Open Citizen”, it behooves upon the citizens to be pro-active and contribute towards the open data sets which would go a long way in deriving social and economic value out of these data sets.

While there are many studies on OGD in the West, studies focused upon the developing countries are starkly lacking. This study plugs this gap by attempting a comparative analysis of the OGD frameworks across Indian States. Besides, the study has provided a conceptualization of “Open Citizen” (OGD) which may be tapped for further research in developing and developed countries to ascertain the linkage between OGD and OC.

India is a diverse country in which the development of services for children with disabilities presents many challenges. There is evidence that progress towards the provision of educational and therapeutic services has been considerable in the metropolitan cities, with reports of many examples of good and innovative practice. Rural communities are often less well served, and families living in some areas continue to face challenges when attempting to gain support for their children with disabilities. This chapter interrogates the situation for families in districts in southern and central India. The authors draw upon recent research to consider how the challenges of providing a multi-disciplinary support mechanism can be delivered to those living in these areas. Issues related to co-ordination of services, recruitment and retention of professionals and allocation of resources are considered through an examination of the socio-economic conditions confronted by families and professionals. Case study evidence from projects aimed at providing effective services are presented and discussed.

In this research paper, the authors delve into the ethnography and socioeconomic status of the Chenchu tribal community that resides in Telangana's Nallamalla forest. The authors also examine the initiatives undertaken by the government to create fair entrepreneurial opportunities while preserving their unique culture. Additionally, the authors analyse potential entrepreneurial and business opportunities using the environmental, social and governance (ESG) framework.

To gain insight into the current socio-economic development and living standards of the Chenchu tribal people, the authors conducted interviews in nine different villages with 177 individual respondents. Statistical analysis was then used to determine the relationship between business opportunities and their impact on socio-economic development based on the data collected.

The Chenchu tribal community has faced significant challenges, including vulnerability, poverty and debt. To promote the development of the tribe, it is essential to provide equal opportunities in education, healthcare and means of subsistence. The government has implemented various social and developmental programs to support sustainable development and entrepreneurial opportunities while preserving the tribe's unique culture and improving their education and standard of living. These initiatives are aimed at benefiting the entire community.

The Chenchu tribal people are eager for progress but hesitant to leave their forest homes and integrate into modern society. This creates challenges for efficiently implementing welfare programs. It is crucial to strike a balance between forest regulations and the rights of indigenous communities to ensure their protection and prevent any hindrance to development efforts.

To promote sustainable development and preserve tribal cultures, the government should implement various social and developmental programs. These programs should improve living conditions and socioeconomic development while exploring business opportunities. Maintaining these communities' unique identities while striving for progress is essential.

Due to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).

A framework is developed for finding the potential factors of quality building on the previous literature and studies on the available topic. The data collection included face-to-face interviews comprising 240 farmers, hired managers and preharvest contractors in India's Jangaon, Rangareddy and Yadadri Bhuvanagiri districts of Telangana state. The data analysis is done using multiple regression, and the outcomes form the basis of the design of the experiments model.

The empirical insights support that the quality of mango is affected by factors such as the number of picking cycles, the cost of fertilizer, the variety of fertilizers used, the variety of pesticides used and pesticide application frequency. The direct implications are the benefit to farmers in improving mango quality and maximizing profit per yield cycle.

To the best of the authors’ knowledge, the first research that has specifically focused on holistically improving the quality(size) of mangoes.

The findings contribute to the perishable supply chain literature, specifically to the mango study, to comprehensively showcase the factors impacting the quality of mangoes and provide guidance to farmers regarding orchard practices.