The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity

Bilgili, Faik; Koçak, Emrah; Bulut, Ümit; Kuloğlu, Ayhan

doi:10.1016/j.energy.2017.05.121

Cited by 178 publications

(54 citation statements)

References 84 publications

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“…Studies on energy consumption and urbanization are abundant [16][17][18][19], but research on the relationship between energy intensity and urbanization is rare and needs further investigation [20] particularly at the urban level. Energy efficiency improvement is considered a cost-effective way to alleviate problems caused by energy shortage [4].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In terms of the empirical study on the interdependence between urbanization and energy intensity worldwide, the pioneer work of Sadorsky [22] finds no strong relationship between energy intensity and urbanization among 76 developing countries during the period 1980-2010. The influence of urbanization on energy intensity varies in 10 Asian countries [20]. Belloumi and Alshehry [24] report the positive impact of urbanization on energy intensity in the short and long term in Saudi Arabia over the period 1971-2012.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Sadorsky [22] 1980 to 2010 76 countries POLS, FE, MG URB→EI: Mixed Belloumi and Alshehry [24] 1971 to 2012 Saudi Arabia ARDL, GC, FMOLS, DOLS URB→EI: significantly positive Bilgili, Koçak, Bulut and Kuloglu [20] 1990 to 2014 10 Asian countries PMG URB→EI: Negative (both LR and SR) Farajzadeh and Nematollahi [25] 1973 to 2013 Iran Regression, ANN URB→EI: significantly negative…”

Section: Part A-worldwide Researchmentioning

confidence: 99%

“…Per capita GDP has been extensively studied in energy intensity [22,47]. The effect of per capita GDP is recognized as nonlinear and presents an environmental Kuznets or inverted U-shaped curve [20]. Therefore, the quadratic term of per capita GDP is added in the right-hand side of the model.…”

Section: Data Processingmentioning

confidence: 99%

See 3 more Smart Citations

Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis

Chen

Cheng

2019

Sustainability

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Energy intensity reduction has become a constrained target from the 11th five-year plan in China. Energy consumption is expected to increase because of rapid urbanization and economic growth, whereas energy intensity reduction is regarded as a method to alleviate the pressure of growing energy demand. An important contribution of this study is the investigation of urbanization impact on energy intensity across China at the urban level. This research uses a balanced panel data set of 224 cities for the period between 2005 and 2016 and reports deep insights into and innovative findings for the reduction of energy intensity across different regions and cities in China. To examine the direct, indirect, and total effects and regional heterogeneous effects, we employ spatial Durbin models and spatial decomposition techniques. It reveals significant and negative direct effects of urbanization in the western and full regions. However, the indirect and total effects of urbanization are significantly negative in the eastern and western regions. The pressure of urbanization on energy has alleviated and is reversing, especially under the construction of people-oriented and green new-type urbanization. The empirics highlight industrialization as a contributing factor for high energy intensity in the spatial outcomes of regional analysis. The direct effect of per capita GDP supports the existence of the inverted U-shaped relationship between economic development and energy intensity. The study proposes fruitful implications to construct new-type urbanization for energy conservation and sustainable development in China.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Part A-worldwide Researchmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

See 2 more Smart Citations

Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis

Chen

Cheng

2019

Sustainability

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“…Undoubtedly, global economic growth (and the growth miracle in some countries, including China), global intergenerational change in favor of the services sector, using renewable energy sources, the application of new management methods, the advancement of information and communication technologies (ICT) and increment of the energy efficiency have been globally effective on reducing energy intensity. [3,4,5,6,7,8]. The results of empirical studies depend on the period of the research, the statistical society and the estimation technique and methodology of research.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Validity of Kuznets Curve of Energy Intensity among D-8 Countries: Panel-ARDL Approach

Fazli

Abbasi

2018

ILSHS

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Abstract. The objective of the study is to test experimentally the Kuznets curve of energy intensity in selected developing countries (Iran, Turkey, Malaysia, Pakistan, Egypt, Bangladesh, Indonesia and Nigeria) with the focus of D-8 countries during 1990-2014. According to the results, and by using the static and dynamic estimators and the Panel-ARDL model, the Kuznets curve was accepted for energy intensity and the per capita income threshold was estimated $3931.25. The urbanization rate and the degree of industrialization have a positive and significant effect on the GDP of consuming energy of D-8 countries in the long term. The most important policy recommendations were discussed for policy-makers and researchers. JEL classification: Q43, C23, O13.

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Does financial development stimulate environmental sustainability? Evidence from a panel study of 115 countries

Uddin

2020

Bus Strat Env

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This paper investigates the moderation effect of financial development (FD) on the environmental Kuznets curve (EKC). Using comprehensive panel data of 115 countries spanning the 1990–2016 period and dividing the countries into different income groups, the researcher found systematic differences in the relationship between significant indicators of environmental degradation and economic growth. More specifically, the interaction effect of FD on the relationship between gross domestic product (GDP) growth and CO2 emissions are positive; nevertheless, the interaction effect of FD on the relationship between GDP squared and CO2 emissions become negative for all income groups and therefore supports the EKC. Moreover, the interaction effect of FD is negative on the relationship of GDP with both CH4 and PM2.5 emissions in the middle‐income groups, whereas the interaction effect of FD on the relationship between GDP squared and PM2.5 emissions are negative for the high‐income group. Our results suggest that FD can reduce environmental degradation without adversely impacting on growth.

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The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity

Cited by 178 publications

References 84 publications

Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis

Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis

Analysis of the Validity of Kuznets Curve of Energy Intensity among D-8 Countries: Panel-ARDL Approach

Does financial development stimulate environmental sustainability? Evidence from a panel study of 115 countries

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