Explaining the declining energy intensity of the U.S. economy

Wing, Ian Sue

doi:10.1016/j.reseneeco.2007.03.001

Cited by 165 publications

(29 citation statements)

References 24 publications

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“…Although Wing (2008) [41] only studies a single county, this work is of interest because it focuses on energy intensity in the U.S. at an aggregate level and the multiple factors behind it over the period from 1958 to 2000. Specific attention is devoted to technical change and industry composition.…”

Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

“…Specific attention is devoted to technical change and industry composition. Wing (2008) [41] finds that changes in industrial composition and disembodied technological progress are the main sources of the decline in the energy intensity. Input substitution due to changes in the relative prices of inputs has only transitory impact.…”

Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

“…Although Cherniwchan (2012) [9] does not focus on CO 2 , by taking SO 2 as a proxy for environmental pollution, he demonstrates that the process of industrialization is a significant determinant of observed changes in SO 2 . Mentioned in the previous paragraph, another study about the role of industrial composition on CO 2 emission is Wing (2008) [41]; which finds that changes in industrial composition is one of the main sources of the decline in the energy intensity.…”

Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

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How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

Özbuğday

Erbas

2015

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Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

Section: Economic Growth-energy Consumption Nexusmentioning

confidence: 99%

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How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

Özbuğday

Erbas

2015

Energy

173

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“…Further, a very large literature has shown that not all GDP is the same in terms of energy intensity. The type of GDP makes a difference: Industrial sectors show a higher energy use per GDP, in contrast to commercial or tertiary activities (Sue Wing ; Belzer ). Thus, economic structure and trade‐balance across cities are found to be important in shaping urban energy‐material flows.…”

Section: Introductionmentioning

confidence: 99%

Impact of the Economic Structure of Cities on Urban Scaling Factors: Implications for Urban Material and Energy Flows in China

Ramaswami

Jiang

Tong

et al. 2017

J of Industrial Ecology

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Summary We explore the population‐scaling and gross domestic product (GDP)‐scaling relationships of material and energy flow (MEF) parameters in different city types based on economic structure. Using migration‐corrected population data, we classify 233 Chinese city propers (Shiqu) as “highly industrial” (share of secondary GDP exceeds 63.9%), “highly commercial” (share of tertiary GDP exceeds 52.6%), and “mixed‐economy” (the remaining cities). We find that, first, the GDP population‐scaling factors differ in the different city types. Highly commercial and mixed‐economy cities exhibit superlinear GDP population‐scaling factors greater than 1, whereas highly industrial cities are sublinear. Second, GDP scaling better correlates with city‐wide MEF parameters in Chinese cities; these scaling relationships also show differences by city typology. Third, highly commercial cities are significantly different from others in demonstrating greater average per capita household income creation relative to per capita GDP. Further, highly industrial cities show an apparent cap in population. This also translates to lower densities in highly industrial cities compared to other types, showing a size effect on urban population density. Finally, a multiple variable regression of total household electricity showed significant and positive correlation with population, income effect, and urban form effect. With such multivariate modeling, the apparent superlinearity of household electricity use with respect to population is no longer observed. Our study enhances understanding of MEFs associated with Chinese cities and provides new insights into the patterns of scaling observed in different city types by economic structure. Results recommend dual scaling by GDP and by population for MEF parameters and suggest caution in applying universal scaling factors to all cities in a country.

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“…Improving energy efficiency was taken as an inevitable choice for the protection of national energy security and sustained economic growth in [4]. Early understanding of energy efficiency was to provide the same energy services by reducing energy inputs in [5].…”

Section: Introductionmentioning

confidence: 99%

The Relation between Energy, Economy and Environment in Chinaâ??s Industrial Sector: Based on Energy Saving

Han¹,

Yong²

2013

Int. J. Onl. Eng.

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Abstract-Energy saving is important for our society, and industry should be focused because of its high energy consumption. This paper used the grey correlation degree method to discuss the relation between economic development, environmental protection and industrial energy consumption in China, gave harmonious development model for 3E (Energy -EconomyEnvironment) system, and computed contribution rate for energy consumption decrease based on industrial indexes. Results show that energy utilization efficiency of industry is low, industrial energy consumption promotes the increase of waste, industrial added value blocks the decrease of energy consumption intensity, and the decrease of industrial energy consumption intensity is vital. Hence, energy saving of industry is imperative, which can be achieved by measures in industry restructuring, technology research, administration mode, legal construction, and recycling economy.

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Explaining the declining energy intensity of the U.S. economy

Abstract: Abstract

Cited by 165 publications

References 24 publications

How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis

Impact of the Economic Structure of Cities on Urban Scaling Factors: Implications for Urban Material and Energy Flows in China

The Relation between Energy, Economy and Environment in Chinaâ??s Industrial Sector: Based on Energy Saving

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