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Intimate partner violence (IPV) against women is a global phenomenon. IPV is a public health, social policy and human rights concern across the globe. It remains a serious issue in Indian context as well. This paper aims to identify the factors associated with IPV using India’s nationally representative National Family Health Survey (NFHS) data.

To identify the factors associated with IPV in India, the authors have used binary logistic regression to estimate two models. The outcome variables are women facing physical violence in the first model and sexual violence in the second. The explanatory variables are broadly socio-economic indicators related to the women and a few other indicators related to the characteristics of the household.

The authors found that urban and working women face higher odds of violence. Alcohol consumption by the husband increases the risks of IPV, whereas risk decreases with women’s autonomy. Even though the prevalence of physical and sexual violence has decreased by 6.8% and 3.9% from 2005–2006 to 2019–2021, the data shows that women across social, economic and regions still face violence from their partners. However, the physical violence increased from 2015–2016 to 2019–2021.

To the best of the authors’ knowledge, this study is a distinct attempt to use pooled data of the nationally representative sets NFHS-3 (2005–2006), NFHS-4 (2015–2016) and NFHS-5 (2019–2021) to study the factors associated with IPV in India.

The relationship between women and extreme weather events is a significant issue given differential impact, adaptation strategies and coping mechanisms for genders. However, the women’s vulnerability and its determinants remain an understudied area. The paper aims to fill this important gap in literature by focusing on women’s vulnerability during the recent floods in the rural areas of Indian state of Kerala using primary data. With a focus on identifying the socioeconomic factors associated with women’s vulnerability, this paper also makes policy suggestions to reduce their vulnerability in the face of floods in Kerala where it is becoming a recurrent phenomenon.

This study is based on the primary data collected using structured questionnaire answered exclusively by women respondents. Chi-square tests and ordered logistic regression model have been used to analyze the relation between the women’s vulnerability during floods and their socioeconomic determinants.

The analysis found that the better availability of credit to women, access to information tools and higher income for women can reduce their vulnerability when a sudden disaster strikes.

This study is unique as it focuses on rarely studied topic women’s vulnerability in the face of weather-related disaster in the rural setting, understanding their level of vulnerability and then identifying the associates of the same, this paper makes an exceptional contribution to the literature on women and environment in general.

The study aims to discern the primary obstacles confronted by the implementing agencies in their efforts to foster financial inclusion through the “Pradhan Mantri MUDRA Yojana” (PMMY).

To collect primary data, a semi-structured questionnaire was developed. Around 120 loan officers from the implementing agencies (Scheduled Commercial Banks (SCBs), Regional Rural Banks (RRBs), Small Finance Banks (SFBs), Non-Banking Financial Companies (NBFCs) and Micro- Finance Institutions (MFIs)) of Haryana were randomly selected to fulfill the objectives. To categorize the perceived problems into discrete factors, the “factor analysis” technique was employed. The scales were then regressed on factors linked to the demographic characteristics of the loan officers to validate the hypotheses.

The study highlighted the primary obstacles impeding the advancement of financial inclusion, which encompass a range of factors. These include challenges in management, infrastructure, politics, finance and technology. Furthermore, the study established the association of the explanatory variables, namely gender, age, educational qualification, location and experience of the officers, with the extracted constraints. Notably, the experience of loan officers emerged as the most influential variable contributing to the promotion of financial inclusion through the scheme.

The current body of literature lacks any empirical investigation focusing on the perspectives of the implementing agencies regarding the challenges they encounter in advancing FI. Given the significance of FI in India, where access to formal financial services remains a critical issue, this research adds value by addressing the gaps in understanding the problems encountered.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0462

The purpose of this paper is to analyse the social and economic disparities across social groups in rural Uttar Pradesh. The paper demonstrates that the structure of the rural economy in India is characterised by deeply ingrained prejudices and social discrimination. The four-village study undertaken in one of the most populated states in India, Uttar Pradesh, clearly reveals that there is a huge disparity in terms of various social and economic indicators and that the so-called high growth has hardly helped in bettering their lives.

The paper is based on primary data collected from the Census survey of villages exploring socio-economic disparities across social groups by using decomposition models.

The results evidently lend credence to the postulations that a large proportion of the disadvantaged groups are prone to multiple deprivations, both in the society and in labour markets. The inquiry reveals this phenomenon clearly.

From the policy point of view, it is therefore imperative to ensure the direct and focussed provision of basic human requirements in terms of education, employment and income of the state. The implementation of direct policy interventions is an absolute necessity if the state has to guarantee convergence and the inclusive growth process on a sustained basis.

This paper fulfils an identified need to study the inequality among the social groups in terms of education, employment, income and livelihood opportunities in selected villages of four districts of Uttar Pradesh.

The purpose of this paper is to examine the regional profile of poverty in Uttar Pradesh, one of the most populated and impoverished states of India. It also identifies the factors underlying the inter-regional differences of poverty in the state.

Regional estimates have been evaluated by dividing the state into four economically classified regions (Western, Central, Southern, and Eastern), using the unit-level records of two latest available Consumption Expenditure Surveys of NSSO representing the period 2009-2010 and 2011-2012. Poverty has been defined by the latest available Rangarajan Expert Groups’ poverty line and aggregated in terms of headcount ratio and share of below poverty line population. Furthermore, to investigate the correlates of poverty, a survey-based logistic regression has been estimated specifically for each region and for both rural and urban areas.

Estimates reveal that though overall poverty in the state has declined, inter-regional poverty trends witness rise in the level of impoverishment particularly in urban Southern Region (SR), rural Eastern Region (ER), and in both rural and urban areas of Central Region. Nevertheless, the inter-regional disparity in poverty has observed a decline; it can further be eliminated if such high poverty reduction in urban ER and rural SR is sustained along with a similar progress in their impoverished counterparts.

The study recommends that poverty alleviating policies in the state should focus more on reducing the household size, development of socially excluded sub-groups (Scheduled Castes and Other Backward Classes), delivery of basic facilities (education and health care), and enhancement of employment prospects for casual laborers, with special emphasis on identified impoverished regions.

The purpose of this paper is to see whether the government subsidized microfinance program has been able to expand physical, economic, political and socio-cultural spaces across castes, creeds and religious beliefs.

The District of Murshidabad, West Bengal, India has been chosen as field of investigation. Initial survey was conducted in 2006. Same households were resurveyed in 2008. Therefore, the data are two period panel data. During survey a stratification was done according to socio-cultural status. To remove unobserved heterogenity, difference in difference method has been applied.

The program has been found to succeed in impacting upon physical, economic and political components of empowerment, but has failed to expand socio-cultural spaces of four socio-religious communities (SRCs) namely, upper castes, other backward castes, schedule castes (SCs) and Muslims (Ms). This study also examines the impact of the program on different measures of empowerment across SRCs, and shows that program participation has significant impact on the likelihood of empowerment for members of UC community.

Participation in SGSY program enable women to negotiate gender barriers, increase their control over their own lives, and improve their relative position in their households, though to some extent. But we do not mean to suggest that participation in SHGs is the only panacea to gender subordination. The authors acknowledge the need for consciousness raising, organizing and struggling for women’s right for women empowerment.

There is hardly any study measuring the empowerment potential of microfinance program across SRCs.

The purpose of this paper is to evaluate the impact of different programs (Self Help Groups, Farmers Clubs, Check Dams, and Training Programs) being implemented by Lupin Human Welfare and Research Foundation (LHWRF), Bhopal, under corporate social responsibility in enhancing the capacity of rural people to improve their socio-economic and agro-environmental conditions.

The assessment of different programs was carried out using field-based survey along with the semi-structured interview of total 123 sampled individual beneficiaries spread in 23 villages of Raisen and Vidisha districts of Madhya Pradesh.

This study revealed that the CSR programs impacted significantly to beneficiaries in improving their socio-economic and agro-environmental conditions.

It further emphasized that there is scope for improvement in planning and execution of CSR programs for enhancing agricultural production and creating employment by integrating with ongoing government programs related to rural development.

The purpose of this paper was to carry out an experimental study to investigate tribodynamics at the interface of chrome steel pin with the plain and textured surface cast iron discs in a fully flooded condition.

A friction and wear tester (tribometer) was used for conducting the experiment at different operating parameters. Lubricating oil used in this experiment was SAE-15W40, which directly supplied at the interface and ensured a fully flooded lubricating condition. Measurements of different parameters, such as friction coefficient, the rate of wear, the amplitude of vibration, rise in temperature and intensity of sound, were considered at different loads. The input parameters were taken in a range viz. Loads from 1.9 MPa to 3.1 MPa, sliding speeds from 2 to 10 m/s and distance travelled ranged from 1000 to 5000 m.

In the investigation, it was found that there was a decrease in friction coefficient and wear rate at the interface formed by the chrome steel pin with textured surface cast iron disc when compared with friction coefficient and wear rate at the interface formed by the chrome steel pin and the plain surface disc of cast iron.

Also, it was inferred that temperature, vibration and noise level, at the interface formed by the chrome steel pin and plain surface cast iron disc, increased, which governed the interface stability. The novelty of this investigation lies in the identification of the parameters on which interface stability depends.

This paper aims to report small-signal parameter extraction and simulation of enhanced dual-channel dual-material gate AlGaN/GaN high electron mobility transistor (HEMT) for the first time for the characterization of a device in microwave range of frequency.

For parameter extraction, a standard and well-known direct parameter extraction methodology is applied. Extrinsic elements of small-signal circuit model are extracted from measured S-parameters obtained using pinch-off cold field effect transistor (FET) biasing in the first step at a low frequency range and at a higher frequency range in the second step to ensure higher extraction accuracy. Intrinsic elements are extracted from intrinsic Y-parameters that are obtained after de-embedding all the extrinsic parasitic elements of the device. Figure of merits of radio frequency are also derived from the measured results and S-parameters of the proposed device.

Small signal parameters of the proposed device circuit model are extracted using the standard direct parameter extraction technique. Analysis of microwave figure of merits for device include maximum oscillation frequency, cut-off frequency, current gain, transducer power gain, available power gain, maximum stable gain, transconductance, drain conductance, stern stability factor and time delay.

The paper bridges the gaps between theory and experimental practices by validating extracted results with reported results of structurally matching devices.

An enhanced device structure investigated for small signal parameters incorporates field plate over dual metal engineered gate to provide better electric field uniformity, effective suppression of short channel effect, reduction in current collapse, improvement in carrier transport efficiency and enhancement in drain current capabilities.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.