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| 1 |
ID:
183738
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| Summary/Abstract |
Congenital heart disease is the commonest type of birth defect of which the estimated prevalence is around 8–12/1,000 worldwide. Caregivers of children with congenital heart diseases are easy victims of high economic burdens and economic instability.
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| 2 |
ID:
183737
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| Summary/Abstract |
To arrest the spread of COVID-19 infection, strict adherence to frequent hand washing and respiratory hygiene protocols have been recommended. While these measures involve private effort, they provide health gains along with collective community benefits and hence are likely to be driven by pro-social motives like altruism and reciprocity. Using data from 934 respondents collected from April till May 2020 across India, we assess if changes in perceived community compliance can predict changes in individual compliance behaviour. We observe statistically significant and positive relationship between the two, even after accounting for observable and omitted variable bias allowing us to view the results from a plausible causal lens. Further, we find subsequent lockdowns having a detrimental effect on individual compliance though the gains from higher perceived community compliance seem to offset this loss. We also find positive perceptions about community can be particularly effective for people with pre-existing co-morbidities. Our findings underscore the need for multi-level behavioural interventions involving local actors and community institutions to sustain private compliance during the pandemic. We suggest these interventions need to be specially targeted for individuals with chronic ailments and emphasize on community behavioural practices in public messaging.
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| 3 |
ID:
183736
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| Summary/Abstract |
Inequality in the distribution of income can be beneficial or detrimental for economic growth depending on the level of inequality. This study advocates that when income inequality is low, increase in income inequality increases economic growth, whereas when income inequality is high, increase in income inequality decreases economic growth. The level of inequality that maximizes economic growth is defined as the optimum level of income inequality. This article attempts to determine the optimum level of income inequality for South Asia through an econometric analysis. It uses panel data from Bangladesh, India, Nepal, Pakistan and Sri Lanka, over a 34-year period to undertake a systematic investigation using panel instrumental variables techniques. The results of this study confirm that an optimum level of income inequality does exist, and occurs at a Gini coefficient value of 0.4492. Thus, this research empirically confirms that the relationship between income inequality and economic growth is non-linear. Further calculations show that for an economy that is at the optimum level of income inequality, the per capita gross domestic product can be expected to double within approximately 13 years, provided all other factors are held constant. However, a change in the Gini coefficient by 0.10 units in either direction—higher or lower—away from the optimum level, can increase the number of years for the per capita gross domestic product to double by 55 to 57 years, depending on the method of approximation.
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| 4 |
ID:
183740
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| Summary/Abstract |
The article presents differences in firm-level total factor productivity in the information technology (IT) service firms in India over the period 2000–2016. It is an attempt to study whether technological efforts contribute to productivity differences in the firms in conjunction with several other firm specific characteristics. Controlling for endogeneity in inputs, the estimation of productivity through semi-parametric techniques indicates considerable heterogeneity in productivity across firm types. Technological efforts of firms have a significant impact on the productivity of IT firms. Both embodied technology imports and in-house R&D contribute to higher productivity. While the Indian firms are observed to be more productive compared to their foreign counterparts, the technological efforts also differ due to ownership factors and that contributes to changes in productivity.
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| 5 |
ID:
183739
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| Summary/Abstract |
This article analyses the role of structural change in explaining growth accelerations and decelerations in Indian states over the 30 years from 1980–1981 to 2010–2011. We employ conventional shift-share analysis to measure the sectoral contribution to productivity growth. We apply this methodology to an eight-sector data set for 15 major states. Our results show that productivity changes ‘within’ sectors explain the considerable improvement in productivity in Indian states rather than the reallocation of labour to more productive sectors. At the aggregate level and for several states, significant contribution to productivity improvements has emanated from agriculture, trade and manufacturing sectors. In all these sectors, the main contribution emerged from within sector productivity improvements, not from structural changes. However, the reallocation effect has appeared to deliver marginal gains to overall productivity in recent periods, which is evident for construction, manufacturing, trade and services sectors.
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