How China׳s urbanization impacts transport energy consumption in the face of income disparity

Lin, Boqiang; Du, Zhili

doi:10.1016/j.rser.2015.08.006

Cited by 75 publications

(26 citation statements)

References 19 publications

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“…China is currently in the development stage of rapid urbanization (Lin and Du 2015), so the transportation sector accounts for a major share of energy consumption in China, with about 8.2% of the total energy consumption in 2013. Furthermore, in the period of 1990-2013, the energy demand of China's transportation sector increased gradually from 34 Mtoe (in 1990) to 249 Mtoe (in 2013), with its share in the total energy consumed rising from 4.0% (in 1990) to 8.2% (in 2013) (Fig.…”

Section: Transport Sectormentioning

confidence: 99%

“…In contrast, the share of coal in total transportation energy consumed dramatically decreased from 29% (in 1990) to 1% (in 2013), simply because the change from coal powered (steam) locomotives to diesel and electric trains. Additionally, against the background of China's national energy conservation and emission reduction aims, especially in light of how to reach the emission reduction targets as put forward in the ''12th Five Year Plan'' (Lin and Du 2015), much more clean fuels (e.g. gas and renewables) are used in China's transportation sector.…”

Section: Transport Sectormentioning

confidence: 99%

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A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

et al. 2016

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China's energy consumption experienced rapid growth over the past three decades, raising great concerns for the future adjustment of China's energy consumption structure. This paper first presents the historical evidence on China's energy consumption by the fuel types and sectors. Then, by establishing a bottom-up accounting framework and using long-range energy alternatives planning energy modeling tool, the future of China's energy consumption structure under three scenarios is forecast. According to the estimates, China's total energy consumption will increase from 3014 million tonnes oil equivalent (Mtoe) in 2015 to 4470 Mtoe in 2040 under the current policies scenario, 4040 Mtoe in 2040 under the moderate policies scenario and 3320 Mtoe in 2040 under the strong policies scenario, respectively, lower than those of the IEA's estimations. In addition, the clean fuels (gas, nuclear and renewables) could be an effective alternative to the conventional fossil fuels (coal and oil) and offer much more potential. Furthermore, the industry sector has much strong reduction potentials than the other sectors. Finally, this paper suggests that the Chinese government should incorporate consideration of adjustment of the energy consumption structure into existing energy policies and measures in the future.

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Section: Transport Sectormentioning

confidence: 99%

Section: Transport Sectormentioning

confidence: 99%

A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

et al. 2016

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“…In contrast, large and midsize cities appeared to have a flat increasing rate associated with increasing traffic pressure and exhaust gas emissions (Lin et al 2015). Under conditions of continuous city growth and rural-urban migration, private transport is increasing substantially.…”

Section: Water Supply and Treatmentmentioning

confidence: 95%

The inhabited environment, infrastructure development and advanced urbanization in China’s Yangtze River Delta Region

Zhu

Gao

Zhou

et al. 2016

Environ. Res. Lett.

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This paper analyzes the relationship among the inhabited environment, infrastructure development and environmental impacts in China's heavily urbanized Yangtze River Delta region. Using primary human environment data for the period 2006-2014, we examine factors affecting the inhabited environment and infrastructure development: urban population, GDP, built-up area, energy consumption, waste emission, transportation, real estate and urban greenery. Then we empirically investigate the impact of advanced urbanization with consideration of cities' differences. Results from this study show that the growth rate of the inhabited environment and infrastructure development is strongly influenced by regional development structure, functional orientations, traffic network and urban size and form. The effect of advanced urbanization is more significant in large and mid-size cities than huge and mega cities. Energy consumption, waste emission and real estate in large and midsize cities developed at an unprecedented rate with the rapid increase of economy. However, urban development of huge and mega cities gradually tended to be saturated. The transition development in these cities improved the inhabited environment and ecological protection instead of the urban construction simply. To maintain a sustainable advanced urbanization process, policy implications included urban sprawl control polices, ecological development mechanisms and reforming the economic structure for huge and mega cities, and construct major cross-regional infrastructure, enhance the carrying capacity and improvement of energy efficiency and structure for large and midsize cities.

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“…In this aspect STIRPAT model, which was first proposed by Dietz and Rosa in 1994, is being used to estimate the connections between environmental degradation, economic development, industrialization and urbanization (Lin & Du, 2015). Using the analysis of the relationships between urbanization and energy consumption it has been ensured that in order to cut down environmental degradation and CO 2 emission it is necessary "… to promote the innovation, research and development of decentralized wind power, decentralized photovoltaic power generation and hydropower by exploiting local resources" (Wang Q., 2014, p. 338).…”

Section: The Impacts Of Urbanization On Environmentmentioning

confidence: 99%

Does Urbanization Boost Pollution from Transport?

Mikayilov¹,

Shukurov²,

Mukhtarov³

et al. 2017

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The study examines the impacts of urbanization, energy consumption and real GDP on atmospheric pollution from automobile transport in Azerbaijan in the STIRPAT framework. Since the study uses time series variables the unit root properties of employed variables are tested for non-stationarity.Stationarity of the data is tested using conventional Augmented Dickey-Fuller test. The study employs Autoregressive Distributed Lags Bounds Testing (ARDLBT) approach to co-integration. This method is one of the most preferable approaches among alternatives in the case of small samples. Estimation results indicated that the variables are cointegrated, in another word there is a long-run relationship among them. In order to test the quality of the model residuals of the model are tested for the serial correlation, heteroskedasticity, and normality. The model is checked for model misspecification and stability. The results of all abovementioned tests are found to be adequate. The highest impact on pollution among the variables belongs to urbanization which is found to be positive and statistically significant. Energy consumption also has a positive and statistically significant impact on emission. The results also confirm that sustainable development can be reached only keeping the balance among environmental, social and economic factors. Findings of the study may be useful in making appropriate decisions in the fields of diminishing atmospheric pollution from automobile transport caused by urbanization related issues.

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How China׳s urbanization impacts transport energy consumption in the face of income disparity

Cited by 75 publications

References 19 publications

A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

The inhabited environment, infrastructure development and advanced urbanization in China’s Yangtze River Delta Region

Does Urbanization Boost Pollution from Transport?

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