The effect of urbanization on energy use in India and China in the iPETS model

O’Neill, Brian C.; Ren, Xiaolin; Jiang, Leiwen; Dalton, Michael

doi:10.1016/j.eneco.2012.04.004

Cited by 152 publications

(67 citation statements)

References 13 publications

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“…However, compared with the economic growth rate, it is low. This indicates that the influence of urbanization on household energy consumption is far less than that of GDP per capita, which is consistent with the argument that changes in urbanization have a somewhat less than the proportional effect on aggregate energy use [60]. The negative elasticities indicate that a 1% increase in urbanization level would decrease household energy use per capita by 0.54% (it is a mean value of seven elasticities of lnURB that are statistically significant).…”

Section: Effect Of Urbanization Processsupporting

confidence: 80%

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Factors Influencing the Spatial Difference in Household Energy Consumption in China

Ding

Niu

et al. 2016

Sustainability

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Abstract:What factors determine the spatial heterogeneity of household energy consumption (HEC) in China? Can the impacts of these factors be quantified? What are the trends and characteristics of the spatial differences? To date, these issues are still unclear. Based on the STIRPAT model and panel dataset for 30 provinces in China over the period 1997-2013, this paper investigated influences of the income per capita, urbanization level and annual average temperature on HEC, and revealed the spatial effects of these influencing factors. The results show that the income level is the main influencing factor, followed by the annual average temperature. There exists a diminishing marginal contribution with increasing income. The influence of urbanization level varies according to income level. In addition, from the eastern region to western region of China, variances largely depend upon economic level at the provincial level. From the northern region to southern region, change is mainly caused by temperature. The urbanization level has more significant impact on the structure and efficiency of household energy consumption than on its quantity. These results could provide reference for policy making and energy planning.

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Section: Effect Of Urbanization Processsupporting

confidence: 80%

“…The disagreement in the existing studies can be attributed to differences in methodologies, data and stages of development [38,40,56]. However, there is a common feature: the structure of energy use shifts from inefficient solid fuels in rural areas to more efficient commercial fuels in urban areas [7,37,60,72,73].…”

Section: Social Factorsmentioning

confidence: 99%

Factors Influencing the Spatial Difference in Household Energy Consumption in China

Ding

Niu

et al. 2016

Sustainability

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“…Finally, some other studies found mixed results (e.g., [7,13,15,[29][30][31]). By using annual series data from 1968 to 2005, Halicioglu [29] studied the relationship between urbanization, residential energy use, energy prices, and GDP for Turkey by estimating dynamic models based on the ARDL bounds testing for cointegration approach.…”

Section: Review Of Empirical Studiesmentioning

confidence: 94%

The Impact of Urbanization on Energy Intensity in Saudi Arabia

Belloumi

Alshehry

2016

Sustainability

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This paper investigates the long-term and causal relationship between energy intensity, real GDP per capita, urbanization and industrialization in Saudi Arabia over the period 1971-2012 using the breakpoint unit root tests developed by Perron (1989) and the autoregressive distributed lag (ARDL) model bounds testing to cointegration proposed by Pesaran et al. (2001) and employing a modified version of the Granger causality test proposed by Toda and Yamamoto (1995). Additionally, to test the robustness of the results, the fully modified ordinary least squares (OLS) regression, the dynamic OLS regression, and the Hansen test are used. Our results show that the variables are cointegrated when energy intensity is the dependent variable. It is also found that urbanization positively affects energy intensity in both the short term and the long term. Causality tests indicate that urbanization causes economic output that causes energy intensity in the long term. Our results do not support the urban compaction hypothesis where urban cities benefit from basic public services and economies of scale for public infrastructure. Therefore, measures that slow down the rapid urbanization process should be taken to reduce energy intensity in Saudi Arabia. In addition, reducing energy inefficiency in energy consumption should be a strategy to attain sustainable development in the near future in Saudi Arabia.

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“…In a comparative framework, Pachauri and Jiang [40] observed that rural households consume more energy due to the heavy dependence on inefficient energy fuels and these energy fuels represent 85% of rural energy demand in China and India. In the same way, O'Neill et al [41] applied iPETS (integrated-Population-Economy-TechnologyScience) model to evaluate the effect of urbanization on energy use in India and China. They concluded that urbanization has direct effect on energy use in both countries.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

Shahbaz

Loganathan

Sbia³

et al. 2015

Renewable and Sustainable Energy Reviews

149

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This paper investigates the impact of urbanization on energy consumption by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in case of Malaysia. The study covers the time period of 1970Q1-2011Q4. The unit root test and the ARDL bounds testing approach have been applied to examine integrating properties and long run relationship in the presence of structural breaks. Our results validated the existence of cointegration and exposed that urbanization is a major contributor in energy consumption. Affluence raises energy demand. Capital stock boosts energy consumption. Trade openness leads affluence and hence increases energy consumption. The causality analysis finds that urbanization Granger causes energy consumption. The feedback effect is found between energy consumption and affluence and, energy consumption and capital. The bidirectional causality exists between trade openness and energy consumption.

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The effect of urbanization on energy use in India and China in the iPETS model

Cited by 152 publications

References 13 publications

Factors Influencing the Spatial Difference in Household Energy Consumption in China

Factors Influencing the Spatial Difference in Household Energy Consumption in China

The Impact of Urbanization on Energy Intensity in Saudi Arabia

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

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