Energy demand and carbon emissions under different development scenarios for Shanghai, China

Li, Li; Chen, Changhong; Xie, Shichen; Huang, Cheng; Cheng, Zhiwei; Wang, Hongli; Wang, Yangjun; Huang, Haiying; Lu, Jun; Dhakal, Shobhakar

doi:10.1016/j.enpol.2009.08.048

Cited by 101 publications

(58 citation statements)

References 8 publications

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“…In the meantime, some researchers also pointed that energy conservation is a right choice to overcome the conflict between energy supply and energy demand for urban areas (Jones [9]; Li et al [64] and Yuan et al [65]). In the case of Malaysia, economic growth directly has increased energy demand and new economic agenda for Malaysia is to be a high income country by 2020 with high volume of economic growth.…”

Section: Conclusion Policy Implications and Future Directionsmentioning

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

153

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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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Section: Conclusion Policy Implications and Future Directionsmentioning

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

153

View full text Add to dashboard Cite

show abstract

“…They analyzed energy consumption and GHG emissions in the trucking sector and proposed an improvement program identified through scenario analysis [19]. Li et al [3] estimated Shanghai's CO 2 emissions from 1995 to 2006 according to the Intergovernmental Panel on Climate Change IPCC guidelines. The energy demand and CO 2 emissions were also projected until 2020, as well as the CO 2 mitigation potential of the officially planned policies and countermeasures that are not yet implemented, but will be enacted or adopted by the end of 2020 in Shanghai.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Cross-sector analysis reveals that the rate of transportation energy consumption increased year by year, and its growth rate has been higher than many other sectors. Indeed, the transportation sector is one of the fastest-growing energy use industries [3]. Since the 1990s, Shanghai has been China's largest metropolitan region and, eventually, the economic capital, as witnessed by both explosive growth in the population and local economy.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption and Energy Efficiency of the Transportation Sector in Shanghai

Kai-ya

2014

Sustainability

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This article investigates changes in the transportation sector in Shanghai between 2000 and 2010 and the implications of this on transportation energy consumption and energy efficiency. The results show that from 2000 to 2010: (1) the traffic energy consumption increased from 597.96 million tons of carbon to 2070.22 million tons of carbon, with an average annual growth rate of 13.49%, and oil met 94.49% of this energy demand by 2010; (2) among present transportation modes, waterway transportation accounts for over 50% of the energy consumption within the transportation sector (on the dominant transportation modes for Shanghai residents, private car use accounted for the largest proportion of energy consumption, whereas rail transportation accounted for the smallest proportion of energy consumption); (3) the energy consumption per unit conversion traffic volume had an upward trend, whereas the energy consumption per unit output value showed a declining trend. Across the study period, the energy consumption elasticity coefficient is 0.94 on average, indicating that the change rate of energy consumption has lagged behind that of economic growth. Correspondingly, some recommendations for energy policy were presented.

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“…In addition, on the basis of the efficiency of processing and conversion and the energy balance table of Beijing in different years, we consider the primary energy (mainly including coal and natural gas) (Fan et al 2013) when calculating emissions from heat and electricity. Following the territorial principle, emissions from heat and electricity produced inside Beijing are determined without considering those imported (Li et al 2010). The coefficients of various kinds of energy converted to equivalent of coal are taken from general principles for calculation of total production energy consumption (GB/T 2589-2008).…”

Section: Investigated Areamentioning

confidence: 99%

“…As for energy-related CO2 emissions, all direct emissions sources located within the geopolitical boundary of the local government were focused. Similarly, a number of studies focus on China's urban energy consumption and CO2 emissions (Dhakal 2009;Li et al 2010;Xi et al 2011). …”

Section: Introductionmentioning

confidence: 99%

Urban energy consumption and CO2 emissions in Beijing: current and future

et al. 2014

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The POL scenario presents a more optimized energy structure compared with the BAU scenario, with the decrease of coal consumption and the increase of natural gas consumption. (4) The commerce and service sector and the energy conversion sector will become the largest contributor to energy consumption and CO2 emissions, respectively. The transport sector and the industrial sector are the two most potential sectors in energy savings and carbon reduction. In terms of sub-scenarios, the TEC is the most effective one. (5) The macro parameters, such as the GDP growth rate and the industrial structure have great influence on the urban energy consumption and carbon emissions.

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Energy demand and carbon emissions under different development scenarios for Shanghai, China

Cited by 101 publications

References 8 publications

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

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

Energy Consumption and Energy Efficiency of the Transportation Sector in Shanghai

Urban energy consumption and CO2 emissions in Beijing: current and future

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