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TENG, FEI (5) answer(s).
 
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1
ID:   193755


Comprehensive effects of policy mixes on the diffusion of heavy-duty hydrogen fuel cell electric trucks in China considering tec / Teng, Fei   Journal Article
Teng, Fei Journal Article
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Summary/Abstract Heavy-duty hydrogen fuel cell electric trucks (HD-FCETs) will play a pivotal role in achieving carbon neutrality in transportation in China. However, high cost has hindered its commercial diffusion, resulting in the dependence on financial policy support. With the phasing out of purchase subsidies, new policy mixes should be proposed. Therefore, a modified generalized Bass model based on technology learning is established to investigate the comprehensive effects of various policy mixes on the HD-FCETs diffusion including tractor-trailers, dump trucks, and straight trucks. About 113 policy mix scenarios - consisting of one or more policy tools from sales ban policy, hydrogen subsidy, and purchase tax - are simulated. The obtained results reveal that: (i) All policy mix scenarios can increase the ownership amount of HD-FCETs by 1.92%–35.7% by 2060 compared with no policy scenario; (ii) The most efficient policy mix scenario can reduce the cumulative social costs from 323.69 billion CNY to 210.3 billion CNY, while inappropriate policies and no technological advances could increase the cumulative social costs to 356.6 billion CNY and 732.6 billion CNY respectively; (iii) Among these policy tools, the sale ban policy is indispensable, moreover, both the HD-FCET classes and the policy intensity can affect the optimal policy mix choice.
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2
ID:   125526


Estimation of urban residential electricity demand in China usi / Zhou, Shaojie; Teng, Fei   Journal Article
Zhou, Shaojie Journal Article
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Publication 2013.
Summary/Abstract This paper uses annual urban household survey data of Sichuan Province from 2007 to 2009 to estimate the income and price elasticities of residential electricity demand, along with the effects of lifestyle-related variables. The empirical results show that in the urban area of Sichuan province, the residential electricity demand is price- and income-inelastic, with price and income elasticities ranging from -0.35 to -0.50 and from 0.14 to 0.33, respectively. Such lifestyle-related variables as demographic variables, dwelling size and holdings of home appliances, are also important determinants of residential electricity demand, especially the latter. These results are robust to a variety of sensitivity tests. The research findings imply that urban residential electricity demand continues to increase with the growth of income. The empirical results have important policy implications for the Multistep Electricity Price, which been adopted in some cities and is expected to be promoted nationwide through the installation of energy-efficient home appliances.
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3
ID:   136191


Introducing the emissions trading system to China’s electricity sector: challenges and opportunities / Teng, Fei; Wang, Xin; Zhiqiang, L V   Article
Wang, Xin Article
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Summary/Abstract We examine the challenges and opportunities to introduce emissions trading (ETS) in China’s electricity sector, in which the interaction between ETS and electricity market reform plays a major role. China’s electricity sector is currently in a slow progress towards a more competitive and market-based system. Both equal share dispatching policy and regulated wholesale and retail pricing policies pose significant challenges for implementation of ETS in China’s electricity sector. One of the important points of ETS is to give a price for carbon emissions and establish a cost pass-through mechanism (reminded that the essential of carbon pricing is to put a price on carbon emissions that is equal to discounted value of the external damages). It should be regarded as a part of broader policy package for energy and resources price reform. This will require that any low-carbon power policy should be considered as a part of whole policy package aiming at further liberalizing the electricity sector in China. Three policy options are identified to incorporate ETS with electricity reform under different circumstances. A combination of those three options is also proposed to break the lock and reinforce the positive interaction between ETS and the transition towards a competitive electricity system, in link with current pilot ETS designs. A roadmap to introduce ETS in a stepwise manner is suggested.
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4
ID:   134362


Reaping the economic benefits of Decarbonization for China / Teng, Fei; Jatzo, Frank   Article
Teng, Fei Article
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Summary/Abstract China needs to reduce its carbon emissions if global climate change mitigation is to succeed. Conventional economic analysis views cutting emissions as a cost, creating a collective action problem. However, decarbonization can improve productivity and provide co-benefits that accord with multiple national policy objectives. We track China's progress in reducing the emissions intensity of the economy, and construct a macro scenario with China's carbon emissions peaking in the 2020s. Investment in greater energy productivity and economic restructuring away from heavy industries can bring productivity gains, and decarbonization of energy supply has important co-benefits for air pollution and energy security. Combined with lower climate change risks and the likelihood that China's actions will influence other countries, this suggests that cutting carbon emissions is not only in China's self-interest but also in the global interest. To properly identify the true costs and benefits of climate change action requires new thinking in economic analysis.
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5
ID:   176649


Structural changes and determinants of household energy choices and energy consumption in urban China: addressing the role of building type / Zhang, Junyi; Teng, Fei; Zhou, Shaojie   Journal Article
Zhang, Junyi Journal Article
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Summary/Abstract Understanding the energy use and choice behaviors in urban China is essential to curb its energy consumption and air pollutant emissions. Current energy consumption estimates for urban households in China rarely account for the effects of building types on energy choice behavior, thus may lead to biased policy implications. In this paper, we estimate the determinants of household energy consumption for different energy choice scenarios through the Seemingly Unrelated Regression (SUR) model, using urban household data. The empirical results show that household use of various energy carriers is driven by household income, fuel price, demographics, building attributes and lifestyles. Results show building types have a significant effect on household energy consumption behaviors. Households living in old houses have less access to clean energy, such as piped gas. Income and price elasticities of energy consumption vary with energy type in each scenario, and there exist certain substitution effects among different types of energy carriers. In particular, inter-fuel substitute elasticities between coal and clean energy are asymmetric. Our study highlights the significance of city planning and infrastructure expansion policies and also offers a better basis for coordinating and designing energy policies in urban China and other developing countries.
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