Search results

Autism spectrum disorders (ASD) are heterogeneous disorders, and heterogeneity lies both at genetic and phenotypic levels. To better understand the etiology and pathway that may contribute to autism symptomatology, it is important to study milder expressions of autism characteristics – autistic traits or milder expressions of autism phenotype, especially in intergenerational context. This study aims to see the trend of association, if any, between child autism symptom and mothers’ autism phenotype as well as mothers’ theory of mind and to see if mothers’ theory of mind was associated with their own autistic traits.

Data were collected from 96 mothers of children with varying symptom severity of autism (mild, moderate and severe) using Autism Spectrum Quotient and faux pas recognition test. Analysis of variance, trend analysis and t-test were done.

Results showed a linear trend of relationship between mothers’ autism phenotype and child symptom severity. However, the groups did not have significant differences in theory of mind. Only a few components of theory of mind were found to be associated with autistic traits. These findings question the prevailing idea that theory of mind can be a reliable endophenotype of autism.

There has been a lack of research assessing the possible link between parents’ autism phenotype and symptom severity of ASD children. This study is a preliminary step towards that direction. This study indicates a probability of shared genetic liability between mothers and offspring, which would have important consequences for understanding the mechanisms that lead to autism.

This study offers implications for treatment planning of those with clinical ASD. An awareness of parental factors is critical for any holistic intervention plan when a family seeks treatment for their child. This study suggests that while individualising interventions, clinicians may consider possible presence of high levels of autistic traits and related cognitive features present in the probands’ parents.

There has been lack of research assessing the possible link between parents’ autism phenotype and symptom severity of ASD children. This study, even though preliminary, is a step towards that direction. This study suggests that autism traits might be influenced by common genetic variation and indicates a probability of shared genetic liability between mothers and offspring, which would have important consequences for understanding the mechanisms that lead to autism.

The Autism-Spectrum Quotient (AQ) is a widely used tool to quantify autistic traits in the general population. This study aims to report the distribution, group differences and factor structure of autistic traits in Indian general population. The work also assesses the criterion validity of AQ across three patient group samples – autism spectrum disorder (ASD), obsessive-compulsive disorder and social anxiety disorder.

In this study, psychometric properties of the adapted AQ were assessed among 450 neurotypical university students matched for age. Confirmatory factor analysis was done to see if the adapted AQ fits the original factor structure. Test–retest, internal consistency reliability and criterion validity were found out. Group differences (gender and field of study) in AQ were also assessed.

Autistic traits were found to be continuously distributed in the population, and patterns of group differences were consistent with previous studies. The adapted AQ had five factors resembling the original factor structure with a good fit, and 38 items instead of the original 50 items. Acceptable reliability coefficients were demonstrated along with criterion validity across clinical groups.

This work is the first to present the pattern of distribution and factor structure of autistic traits among neurotypical adults from Eastern India, a culturally different population, as well as a reliable and valid tool to assess autistic traits in Bengali, a language with 300 million speakers. The findings add to the growing literature on AQ measurement and the concept of autism as a quantitative trait, examined outside of the western samples.

The paper tries to analyse empirically the impact of India's economic policy uncertainty (EPU) index on different macro-economic variables of India, like import, export, interest rate, exchange rate, inflation rate and stock market during pre-COVID-19 and COVID-19 era.

Although there exist several works where relationship and volatility among the stock markets and macro-economic indicators during the COVID-19 pandemic have been estimated, but till now none of the studies examined the effect of EPU index on different macro-economic variables in the Indian context along with the stock market due to the outbreak of COVID-19 pandemic. This is considered a noteworthy gap and hence opens up a new dimension for examination. To get a clear picture, monthly data from January, 2012 to September, 2021 have been considered where January, 2012–February, 2020 is taken as the pre-COVID-19 period and March, 2020–September, 2021 as COVID-19 period. All the data are converted into log natural. The authors applied DCC-GARCH model to investigate the impact of EPU index on volatility of selected variables over the study period across a multivariate framework and Markov regime-switching model to examine the switching over of the variables.

The results of dynamic conditional correlation - multivariate generalized autoregressive conditional heteroskedasticity (DCC-MGARCH) model indicates the presence of volatility in the dependent variables arising out of economic policy uncertainty considering the segmentation of the study period into pre-COVID-19 and COVID-19. The results of Markov regime-switching model show the variables make a significant move from low-volatility regime to high-volatility regime due to the presence of COVID-19.

It can be implied that impact of EPU in terms of volatility on the Indian Stock Market will lead to unfavourable investment conditions for the prospective investors. Even, the different macro-economic variables are to suffer from the volatility arising out of EPU across a long time horizon as confirmed from the DCC-MGARCH model.

The study is original in nature. It adds superior values from the new and significant findings from the study empirically. Application of DCC-MGARCH model and Markov regime switching model makes the study an innovative one in terms of methodology and findings.

The purpose of this paper is to investigate the facilitators and impediments of business sustainability of the microenterprises. The study also proposes a framework of social sustainability through women microentrepreneurs in India.

In order to fulfill the objectives, primary data have been collected and analyzed by employing binary logit model. Additionally, in-depth interviews and focus group interviews were conducted to get more precise insight on the issue.

The study finds out the factors determining sustainability of microenterprises. The economic, political, demographic factors along with family contribution are found to be important factors in determining sustainability and success of microenterprises. The study also show that microenterprises emerging from self-help groups (SHGs) are adding value to the society by overall women empowerment.

The study will pave the way for further research about the sustainability factors of microenterprises in emerging economies.

The finding of this paper will give directions to policy makers as well as to stakeholders as small businesses are becoming way of life in all developing countries.

This study contributes to the literature by identifying how microentrepreneurs emerging from SHGs are achieving societal goals of poverty eradication. It determines the indicators of business sustainability for small businesses run by women. Empirical and in-depth study explores the issues those have policy implications.

The purpose of the paper is to address the sustainability issue of Self-help groups by means of developing small business/micro-entrepreneurs.

The causal relationship between empowerment through SHG and micro-entrepreneurship is being investigated by estimating empirical data through structural equation modelling with second-order latent factor.

Empirical examination supports the causal relationship between empowerment through SHG and small business.

The study is conforming the policy of group forming and, at this stage, develops a conceptual framework but with real implications for comprehensive policy decisions.

There are many studies on the women empowerment aspect of SHGs. However, few attempted to find out how the micro-entrepreneurs emerging from SHGs.

The Indian pharmaceutical industry currently faces multiple challenges, including rising costs and slowing export growth, which in turn have limited its ability to expand presence in global canvas. Given the nature of sectoral dynamics, a pharmaceutical firm must undertake huge investments in R&D to introduce product innovation, in turn enhancing market share and sustaining profit streams. The development of novel medicines, confirmed by the granting of patent rights, provides a pharma company edge over its competitors. In addition, presence of innovator firms within the industry invigorates the sectoral value chain and raises efficiency. Hence, it is important to analyze whether granting patent rights enhances the exports of pharmaceutical products in the Indian context.

The current study explored this question using a simultaneous-equation framework. Specifically, the authors use the methods developed by Davidson and MacKinnon (1993) and Greene (2003) to obtain heteroscedasticity-consistent estimates. The time-series properties of the data were further probed, and robust estimates were used to test the theory. Methods developed by Baltagi (1981) have been used further to refine the authors’ estimations.

After controlling for relevant variables, it is observed that granting of patents caused a significantly positive impact on pharmaceutical exports. Furthermore, the change in the patent administration regime had a significant impact on patent fillings, which further impacted their exportability. Compared to patents granted patents filed had a higher impact on pharmaceutical exports.

This study attempts to apply the framework developed by Goldstein and Khan (1978) with necessary modifications to suit the context of a developing country. The application of the 3SLS method to estimate the export supply equation for pharmaceutical products is a novel approach to the research question in general and to the Indian context in particular. System autocorrelation and heteroscedasticity tests were performed to refine the results further.