The Environmental Consequences of Urban Growth: Cross-National Perspectives on Economic Development, Air Pollution, and City Size

Shukla, Vibhooti; Parikh, Kirit S.

doi:10.2747/0272-3638.13.5.422

Cited by 79 publications

(34 citation statements)

References 7 publications

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“…In addition to other indicators, deforestation has been used to determine environmental impacts. Studies showing the negative impact of deforestation in conjunction with an increase in temperature, extreme weather occurrences, loss of bio-diversity, land erosion, infectious diseases and increasing greenhouse gases emissions are by Shukla and Parikh, 1992;Fearnside, 1992;Dickinson, 2003;Hinderson et al, 1993;Shafiq, 1994;Henderson and Venkatraman, 1993;Zeng et al, 1996;Fearnside, 1997;Laurence, 1999 ;Rustad et al, 2000, respectively. Research on environmental degradation has also focused on the growth-trade liberalization nexus as a primary indicator contributing to climate change. In the same period, environmental economics researchers adopted different hypotheses and estimations to explain the growth-environmental degradation nexus.…”

Section: Review Of Literaturementioning

confidence: 97%

The linkages between deforestation, energy and growth for environmental degradation in Pakistan

Ahmed

Shahbaz

Qazi

et al. 2015

Ecological Indicators

199

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Section: Review Of Literaturementioning

confidence: 97%

The linkages between deforestation, energy and growth for environmental degradation in Pakistan

Ahmed

Shahbaz

Qazi

et al. 2015

Ecological Indicators

199

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“…The earlier studies (Grossman and Krueger 1992;Shukla and Parikh 1992;Panayotou 1993;Seldon and Song 1994) have explained the inverted-U path for environmental quality in terms of structural changes in the composition of economic output and increased environmental restrictions at higher levels (Suri and Chapman 1998). In developing countries, some policymakers have interpreted such results as conveying a message about priorities: Grow first, then clean up (Fig.…”

Section: Introductionmentioning

confidence: 93%

Examining Environmental Kuznets Curve for river effluents in India

Mythili

Mukherjee

2011

Environ Dev Sustain

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This study aims to determine the trade-off between river pollution and the growth of the economy in the context of India using the concept of Environmental Kuznets Curve (EKC). According to EKC theory, environmental pressure tends to rise faster than income growth in the early stages of economic development and then declines in the later stages with further economic growth. The present study has used the cross-sectional time series data for river pollutants of Biochemical Oxygen Demand (BOD) and Dissolved Hydrogen Ions (PH) across various states of India for the period 1990-1991 to 2005-2006. This study shows why the conventional EKC model is not sufficient to ascertain the declining path of pollution as the economy grows in the second stage. The paper uses the modified EKC theory where the EKC curve is proposed to have 2 turning points. Our results indicated 'tilted-S shaped' relationship which contradicts EKC in the early stages. Most of the regions that were studied have crossed the first turning point but are still to cross the second turning point, which means that there will be an ascent in the pollution level in the future. This calls for more stringent environment policies complementing the desired growth path.

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“…Measurement of spatio-temporal characteristics of urban development is essential for understanding the environmental consequences of anthropogenic resource consumption and landscape change in the context of environment and resource sustainability (Folke, Jansson, Larsson, & Costanza, 1997;Johnson, 2001;Shukla & Parikh, 1992). Long term archives of satellite based observations of anthropogenic night-time brightness provide an efficient way to continuously monitor recent human activity and socioeconomic dynamics during urban processes in a changing world (Croft, 1973;Doll, Muller, & Elvidge, 2000;Elvidge, Baugh, Kihn, Kroehl, & Davis, 1997;Small, Pozzi, & Elvidge, 2005;Sutton, 2003).…”

Section: Introductionmentioning

confidence: 99%

Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data

Zhou

et al. 2015

Remote Sensing of Environment

190

136

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Understanding the spatio-temporal dynamics of urban development at regional and global scales is increasingly important for urban planning, policy decision making and resource use and conservation. Continuous satellite derived observations of anthropogenic lighting signal at night provide consistent and efficient proxy measures of demographic and socioeconomic dynamics in the urbanization process. Previous studies have demonstrated significant positive correlations between the nocturnal light brightness, mainly derived from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS), and population and economic variables. Quantitative measurements of artificial lighting emissions at night therefore can be indicative of the overall degree of socioeconomic development at regional to country levels. The spatio-temporal characteristics of anthropogenic night-time lighting, potentially connected to the dynamic patterns of spatially expanding human settlement and economic activities during the urban expansion process, however, has received less attention largely because of diversity of both socioeconomic activity and urban forms. Based upon the quadratic relationship between the pixel-level night-time light radiance and corresponding brightness gradient (i.e. the rate of maximum local change) at the local scale, we here proposed a spatially explicit approach for partitioning DMSP/OLS night-time light images into five types of night-time lighting areas for individual cities: low, medium-low, medium, medium-high and high, generally associated with urban sub-areas experienced distinctly different forms and human activity. At the country scale, our findings suggest that significant rises are commonly found in these five types of night-time lighting areas with different growth rates across 271 China's cities from 1992 to 2012. At the urban scale, however, five types of night-time lighting areas show various trends for individual cities in relation to the urban size and development levels. The marked increase in high night-time lighting area is highly prevalent in most of China's cities with rapid urbanization over the past 21 years while significantly decreased low and medium-low night-time lighting areas are most likely to occur in large and extra-large cities. Moreover, the transition between different types of night-time lighting areas could further portray the spatiotemporal characteristics of urban development. Analyzing results indicate that the spatial expansions of gradually intensified night-time light brightness correspond geographically with the rural-urban gradients following a stepwise transition of night-time light brightness during the urban expansion.

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The Environmental Consequences of Urban Growth: Cross-National Perspectives on Economic Development, Air Pollution, and City Size

Cited by 79 publications

References 7 publications

The linkages between deforestation, energy and growth for environmental degradation in Pakistan

The linkages between deforestation, energy and growth for environmental degradation in Pakistan

Examining Environmental Kuznets Curve for river effluents in India

Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data

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