Economic growth in India: the role of physical and social infrastructure

Dash, Ranjan Kumar; Sahoo, Pravakar

doi:10.1080/17487870.2010.523980

Cited by 48 publications

(37 citation statements)

References 14 publications

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“…The uncertainties are also partly driven by the demographic and economic forecasts; thus, much depends on the specific demographic and economic trajectories these regions will follow by 2030. For example, China may boost its urban expansion by relaxing its one-child policy [55] whereas urban expansion in India may be stunted due to insufficient or inefficient infrastructure [56].…”

Section: Discussionmentioning

confidence: 99%

Futures of global urban expansion: uncertainties and implications for biodiversity conservation

Güneralp

Seto

2013

Environ. Res. Lett.

277

157

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Urbanization will place significant pressures on biodiversity across the world. However, there are large uncertainties in the amount and location of future urbanization, particularly urban land expansion. Here, we present a global analysis of urban extent circa 2000 and probabilistic forecasts of urban expansion for 2030 near protected areas and in biodiversity hotspots. We estimate that the amount of urban land within 50 km of all protected area boundaries will increase from 450 000 km 2 circa 2000 to 1440 000 ± 65 000 km 2 in 2030. Our analysis shows that protected areas around the world will experience significant increases in urban land within 50 km of their boundaries. China will experience the largest increase in urban land near protected areas with 304 000 ± 33 000 km 2 of new urban land to be developed within 50 km of protected area boundaries. The largest urban expansion in biodiversity hotspots, over 100 000 ± 25 000 km 2 , is forecasted to occur in South America. Uncertainties in the forecasts of the amount and location of urban land expansion reflect uncertainties in their underlying drivers including urban population and economic growth. The forecasts point to the need to reconcile urban development and biodiversity conservation strategies.

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Section: Discussionmentioning

confidence: 99%

Futures of global urban expansion: uncertainties and implications for biodiversity conservation

Güneralp

Seto

2013

Environ. Res. Lett.

277

157

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“…Similarly, Easterly and Levine (2001) found no evidence to suggest that capital accumulation results in faster economic growth. For India, Dash and Sahoo (2010) examined the relation between physical and social infrastructure, and economic growth, and found a unidirectional causality from infrastructure development and human capital to output growth. Again, with the exception of Bond, Leblebicioglu, and Schiantarelli.…”

Section: A Brief Review Of Empirical Literaturementioning

confidence: 99%

The relation between capital formation and economic growth: evidence from sub-Saharan African countries

Uneze

2013

Journal of Economic Policy Reform

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This paper examines the causal relationship between capital formation and economic growth in Sub-Saharan African countries using recent panel cointegration and causality testing techniques. We find that causality is bi-directional, suggesting that higher economic growth leads to higher capital formation and that in turn, increases in capital formation results in higher economic growth. These results hold irrespective of whether capital formation is measured with private fixed capital formation or by gross capital formation.

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“…Education opportunities, health care, culture experience, leisure and entertainment activities, and commuting capabilities are generally considered as the major demands of contemporary urban lives. Unlike the infrastructures for economic developments, social infrastructures are the facilities and venues that mainly serve the various needs of residents in daily life [23,24]. Accompanied with the process of rapid urbanization, China has also developed, and been gradually improving its social infrastructure system to satisfy the demands of residents in different aspects [25].…”

Section: Living Demands and Social Infrastructure Developments In Urbmentioning

confidence: 99%

Understanding the Living Conditions of Chinese Urban Neighborhoods through Social Infrastructure Configurations: The Case Study of Tianjin

et al. 2018

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Under the unprecedented wave of urbanization and pace of economic development, the living conditions of residents have been unevenly changed in Chinese cities. To understand the diversified living conditions in Chinese urban neighborhoods from the supply-side point of view, new spatial and residential data were gathered to investigate the social infrastructure configurations around the residential communities. Using Tianjin as a case study, the research focuses on six important categories of human needs: education, healthcare, leisure, culture, entertainment, and transportation. Based on the cumulative accessibility measurements of 25 types of facilities, the social infrastructure configurations within neighborhoods are statistically and spatially analyzed and compared. The study discovered that: (1) despite the great diversity of living conditions in the city, the neighborhoods that have better services and strong associations with entertainment and education are prominent; (2) the neighborhoods with advantageous living conditions in different aspects tend to cluster at different places; (3) the neighborhoods of different types of communities, belonging to different administrative districts, or in different urban zones, all have distinctive characteristics in living conditions.

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Economic growth in India: the role of physical and social infrastructure

Cited by 48 publications

References 14 publications

Futures of global urban expansion: uncertainties and implications for biodiversity conservation

Futures of global urban expansion: uncertainties and implications for biodiversity conservation

The relation between capital formation and economic growth: evidence from sub-Saharan African countries

Understanding the Living Conditions of Chinese Urban Neighborhoods through Social Infrastructure Configurations: The Case Study of Tianjin

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