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Background Migrant status with mobility impairment becomes a double burden for health and wellbeing of older adults. This study examined the independent relationships and multitude effects between migrant status, functional and mobility impairments and poor self-rated health (SRH) among older Indian adults. Methods This study utilised nationally representative Longitudinal Ageing Study in India wave-1 (LASI) data, including a sample of 30,736 individuals aged 60 years and above. The main explanatory variables were migrant status, difficulty in activities of daily living (ADL), difficulty in instrumental activities of daily living (IADL) and mobility impairments; and the outcome variable was poor-SRH. Multivariable logistic regression and stratified analyses were used to fulfil the study objectives. Results Overall, about 23% of older adults reported poor-SRH. Reporting poor-SRH was more prevalent (28.03%) among recent migrants (less than ten years). The prevalence of reporting poor-SRH was significantly higher among older adults who had mobility impairment (28.65%), difficulty in ADL or IADL (40.82% & 32.57%). Migrant older adults (regardless of duration) who had mobility impairment had significantly greater odds of reporting poor-SRH compared with non-migrant older adults who did not have mobility impairment. Similarly, older respondents who had problems in ADL and IADL with migration status had higher odds of reporting poor-SRH than their non-migrant counterparts with no such problems. Conclusions The study revealed the vulnerability of migrant older adults with functional and mobility disability, as well as those with limited socioeconomic resources and suffering from multimorbidity on rating their perceived health. The findings can be utilised to target outreach programmes and provision of services for migrating older individuals with mobility impairments and enhance their perceived health and ensure active ageing.

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The paper aims to focus on climatic risk as a potential determinant of temporary labour migration in Semi-Arid Tropics (SAT) village in India for the year 2013-2014. Specifically, we address the question of how households use temporary labour migration as a coping mechanism to minimise the risk posed by climate variables such as drought, floods, cyclone etc. In doing so, the paper uses a binary choice model (logistic regression) to examine the potential socioeconomic and demographic factors along with climatic risk that determine the probability of migration of workers in select Indian semi-arid villages. The paper uses data from International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). The results show that among all climatic risk anomalies, maximum households in SAT villages are affected by drought risk. It is accounted that 69% of households are influenced by the drought risk. With respect to compensation of climatic risk, around 17% of non-migrant households received government support, while only 9% of migrant households received such assistance in this study. Also, the logistic regression models predict that the probability of household having any temporary migrants is significantly determined by climatic risk along with other demographic and socio-economic factors. To the best of the authors' knowledge, perhaps this is the first paper that makes a direct approach of linking climatic risk with temporary labour migration in semi-arid tropics region of India.

This study examines the inclusiveness of poverty reduction among the newly formed states of undivided Andhra Pradesh by looking into the poverty among the different socio-religious groups both in the rural and urban regions during the 2000’s. The major proposition that has highlighted in this study: which socio-religious groups are more poverty ridden in the undivided Andhra Pradesh and its bifurcated states (Andhra Pradesh and Telangana)? The National Sample Survey Organisation unit level data (61st and 68th rounds) on Consumption Expenditure Survey have been used for the analysis. The result reveals that Telangana is having lower poverty level than Andhra Pradesh and records a faster reduction in poverty during 2004–2005 to 2011–2012. Andhra Pradesh constitutes around 70% of the total poor of the undivided Andhra Pradesh. This study found that most of the Scheduled Tribes, Scheduled Castes among the social groups and Muslims among the religious groups are more vulnerable and having higher head count ratio than the state average. Although several welfare programmes and schemes have already been implemented to eradicate poverty and inequality, still it is not effective in the ground level. Based on this argument, our study suggests that the schemes should focus on different sections of the people irrespective of rural and urban sectors in both the recently bifurcated states of Telangana and Andhra Pradesh. JEL Codes: I 32, D 63, P 25