Regional Inequality in India in the 1990s: A Further Look

Singh, Nirvikar; Kendall, Jake; Jain, R.K.; Chander, Jai

doi:10.2139/ssrn.2394310

Cited by 9 publications

(9 citation statements)

References 7 publications

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“…Differential classes of service within public transport, the concentration of poverty in urban slums or rural agricultural communities, and persistent regional inequality in India are suggestive of various levels at which wealth classes are physically separated. 19 However, while a number of recent studies have been performed to understand social contact patterns in different populations by age and household structure, 20–22 none has examined mixing by wealth status or other demographic factors. With recent technological advances, it may be possible to enumerate social networks in greater detail and understand how those social contacts differ by socioeconomic status.…”

Section: Bringing Disparities Into Focus In Global Tuberculosis Controlmentioning

confidence: 99%

The epidemiological advantage of preferential targeting of tuberculosis control at the poor

Andrews

Basu

Dowdy

et al. 2015

int j tuberc lung dis

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Tuberculosis remains disproportionately concentrated among the poor, yet known determinants of tuberculosis reactivation may fail to explain observed disparities in disease rates according to wealth. Reviewing data on tuberculosis disparities in India and the wealth distribution of known tuberculosis risk factors, we describe how social mixing patterns could be contributing to tuberculosis disparities. Wealth-assortative mixing, wherein individuals are more likely to contact others from similar socioeconomic backgrounds, amplifies smaller differences in risk of tuberculosis, resulting in large population-level disparities. As disparities and assortativeness increase, tuberculosis becomes more difficult to control, an effect that is obscured by looking at population averages of epidemiological parameters, such as case detection rates. We illustrate how tuberculosis control efforts may benefit from preferential targeting toward the poor. In India, an equivalent-scale intervention could have a substantially greater impact if targeted to those living below the poverty line, compared with a population-wide strategy. In addition to potential efficiencies in targeting higher-risk populations, tuberculosis control efforts would reduce more secondary tuberculosis cases, per primary case diagnosed, if they were preferentially targeted to the poor. We highlight the need to collect programmatic data on tuberculosis disparities and explicitly incorporate equity considerations in tuberculosis control plans.

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Section: Bringing Disparities Into Focus In Global Tuberculosis Controlmentioning

confidence: 99%

The epidemiological advantage of preferential targeting of tuberculosis control at the poor

Andrews

Basu

Dowdy

et al. 2015

int j tuberc lung dis

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“…However, omitting the seven most extreme outliers as measured by the credit-deposit ratio does not qualitatively change the results of Table 3. 16 We also explored other robustness checks and extensions, reported in detail in Singh et al (2010). Allowing convergence rates to be different across the states in the sample did not qualitatively affect the estimated impacts of the three conditioning variables.…”

Section: Resultsmentioning

confidence: 99%

“…The contrast illustrates again the limitations of analyzing data just at the state level for India. The other nine districts in Table 4 are all in eastern Uttar Pradesh, illustrating a regional 16 Details may be found in Singh et al (2010).…”

Section: Resultsmentioning

confidence: 99%

“…Since these districts are picked out relative to an estimated relationship that allows for differences in literacy, roads and credit, the implication is that other factors also matter for growth. In fact, as shown in Singh et al (2010), the list of worst districts as measured by the size of negative residuals varies quite a bit with specifications that include additional conditioning variables.…”

Section: Resultsmentioning

confidence: 99%

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Regional Inequality in India in the 1990s: A District-Level View

et al. 2013

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract This paper examines changes in regional inequality in India in the 1990s, using data for 210 of India's districts, spread across nine states. It provides a finer-grained quantitative analysis of growth patterns than has hitherto been attempted for India. The methodology is that of cross-section growth regressions, which seek to explain longer-run growth rates in terms of initial conditions of development. By identifying these connections, the study seeks to illuminate the role of aspects of physical infrastructure, financial development and human capital in influencing regional patterns of growth. In turn, this may have implications for government policies at the national and state levels. We find no evidence for divergence, but evidence for growth convergence in some cases, dependent on initial conditions. The district level results are supportive of the importance of literacy, and access to finance and roads. The methodology can be used to identify districts which may require additional policy intervention along these dimensions, as well as districts where the performance is worse than the average, even after conditioning on development measures, suggesting other causes of backwardness. Terms of use: Documents in

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“…Singh et al. () give a detailed account of this literature. These studies merely stop at classifying districts and/or States on the basis of some development indicators without quantifying the linkages between the growth and development indicators.…”

Section: Related Literaturementioning

confidence: 99%

The Dynamics of Income Growth and Poverty: Evidence from Districts in India

Banerjee

Banik

Mukhopadhyay

2015

Development Policy Review

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This article examines the dynamics of the income‐distribution pattern in India during the post‐1991 economic reforms. It considers district‐level per‐capita income data across agriculture, manufacturing, services, and various constituent sub‐sectors, and finds evidence in favour of a uniform process of growth across sectors and regions, which has helped to reduce poverty. In particular, the article finds that growth in agricultural income and access to finance are important for this.

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Regional Inequality in India in the 1990s: A Further Look

Cited by 9 publications

References 7 publications

The epidemiological advantage of preferential targeting of tuberculosis control at the poor

The epidemiological advantage of preferential targeting of tuberculosis control at the poor

Regional Inequality in India in the 1990s: A District-Level View

The Dynamics of Income Growth and Poverty: Evidence from Districts in India

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