Measuring Inequality of Opportunity for the Backward Communities: Regional Evidence from the Indian Labour Market

Sharma, Chandan; Paramati, Sudharshan Reddy

doi:10.1007/s11205-017-1676-3

Cited by 10 publications

(7 citation statements)

References 51 publications

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“…For example, mortality as a variable is reflective of the racial disparities and gender biasness in an economy. The Indian sub-continent is marked by large inequalities in health, education and employment opportunities, which strongly affect regional labor markets in the country (see Sharma and Paramati, 2018). Our variable, SSD, by construction is probably picking up the impact of these inequalities, which biases the productivity impact of the variable upwards.…”

Section: Infrastructure and Quality Of Governancementioning

confidence: 96%

Do infrastructure and quality of governance matter for manufacturing productivity? Empirical evidence from the Indian states

Khanna

Sharma

2018

JES

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Purpose The purpose of this paper is to study the impact of infrastructure and governance quality on the state-level productivity of Indian manufacturing for the period 2008–2011. Design/methodology/approach The authors first rank Indian states on their quality of governance using benefit-of-the-doubt approach. Next, to explain state-level differences in total factor productivity (TFP), the authors assess the impact of a composite index of governance on industrial TFP of Indian states using alternate techniques and controlling for endogeneity. The authors also decompose the composite effect of governance in terms of economic, social and financial infrastructure and other key governance dimensions, which serves as another robustness check for the findings. Findings The authors find that TFP varies significantly across states, so does governance quality. Further, results suggest that TFP of Indian industries is sensitive toward public service deliveries of economic, social and financial infrastructure. However, the authors fail to find any impact of law and order indicators, for instance, rate of violent crimes, police strength and judicial service quality on the manufacturing productivity. The estimated coefficient of governance index is robust across alternate methodologies. Originality/value To the authors’ knowledge, this is the first study to assess the impact of regional governance factors on the manufacturing sector of India. The study has identified governance factors that impact manufacturing productivity in the Indian states. Findings suggest that an effective way to eliminate regional growth inequality in India is to ensure that the lagging states initiate reforms to improve the quality of institutions, regulation and governance. Findings of the study contribute to the limited literature on governance at the regional/sub-national level.

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Section: Infrastructure and Quality Of Governancementioning

confidence: 96%

Do infrastructure and quality of governance matter for manufacturing productivity? Empirical evidence from the Indian states

Khanna

Sharma

2018

JES

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“…Similarly, Beck et al (2007) In contradiction to the above evidence, several other scholars (Claessens & Perotti, 2007;Seven & Coskun, 2016;Sharma and Paramati, 2018) argued that the unequal opportunities can enhance the countries' income inequality even a greater extent if that country already has experienced a high level of inequality historically. For example, Jauch and Watzka (2016) used private credit (% of GDP) as a proxy for financial development, and GINI coefficient as a proxy for income inequality.…”

Section: Literature Reviewmentioning

confidence: 97%

The impact of financial deepening on income inequality: Empirical evidence from Australia

2020

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The present research paper is designed to explore the role of financial development indicators on income inequality in Australia using yearly data from 1980 to 2014. Our study also accounts for other potential determinants of income inequality such as inflation, per capita income and trade openness. Our results from Bayer and Hanck (2013) cointegration test confirm the longrun equilibrium relationship across the models. Similarly, the long-run estimates from the quantile regression models and non-parametric approach indicate that the financial development indicators, FDI inflows, inflation, and trade openness have significant positive impact on income inequality in Australia. However, the growth in per capita income plays the opposite role. Given these findings, our study offers numerous policy and practical implications and adds an important value to the empirical literature on the nexus between financial development and income inequality.

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“…Изучение доли факторов обстоятельств в доходном неравенстве показало существенные различия между развитыми и развивающимися странами. Например, в статье, анализирующей неравенство заработков в индийских провинциях [7], в качестве факторов обстоятельств авторы выделяли расу и религию. Они пришли к выводу о высокой степени влияния обстоятельств на неравенство заработных плат в Индии, по сравнению с другими странами.…”

Section: концепция неравенства возможностей в современной экономическ...unclassified

Концепция Неравенства Возможностей В Современной Экономической Науке

Малкина¹

2021

INSTITUTSIONAL'NAYA TRANSFORMATSIYA EKONOMIKI: CHELOVEK I SOTSIUM: Materialy VII Mezhdunarodnoy Nauchnoy Konferentsii

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Measuring Inequality of Opportunity for the Backward Communities: Regional Evidence from the Indian Labour Market

Cited by 10 publications

References 51 publications

Do infrastructure and quality of governance matter for manufacturing productivity? Empirical evidence from the Indian states

Do infrastructure and quality of governance matter for manufacturing productivity? Empirical evidence from the Indian states

The impact of financial deepening on income inequality: Empirical evidence from Australia

Концепция Неравенства Возможностей В Современной Экономической Науке

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