Low-carbon-oriented dynamic optimization of residential energy pricing in China

In China, the energy pricing mechanism has an insufficient linkage with other energy prices. As a result of the unreasonable price level, it is impossible to exploit fully the substitution elasticity among energy resources and there is a negative impact on achieving energy conservation and energy efficiency. This paper proposes an optimized mechanism for residential energy prices in China, which maximizes the total social surplus subject to some related constraints. Three types of energy pricing mechanisms are designed based on China's low-carbon targets and the optimization of residential energy price policies through the dynamic CGE model. Compared with the energy price linkage method, the results show that the market netback value mechanism has a greater impact on the total social surplus. In order to achieve further low-carbon targets, the proportion of second and third tier residents can be expanded, while the energy prices could be deregulated to some degree. In addition, considering residential affordability, the government may take into account different electricity pricing mechanisms for different tiers of residents. Electricity pricing for the first tier, the second tier and the third tier should be based respectively on cost, the integration of energy price linkage and the market netback value mechanism.

[1]  M. Delfino,et al.  Price freezes, durables, and residential electricity demand. Evidence from Greater Buenos Aires ☆ , 2011 .

[2]  Anna Alberini,et al.  Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income , 2011 .

[3]  Jiankun He,et al.  A CGE analysis to study the impacts of energy investment on economic growth and carbon dioxide emission: A case of Shaanxi Province in western China , 2010 .

[4]  Zhibin Wu,et al.  Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas , 2013 .

[5]  Seul-Ye Lim,et al.  Estimating the economic value of residential electricity use in the Republic of Korea using contingent valuation , 2014 .

[6]  J. Robert Malko,et al.  The residential demand for electricity by time-of-use: A survey of twelve experiments with peak load pricing☆ , 1983 .

[7]  Chaoqing Yuan,et al.  The relationship among energy prices and energy consumption in China , 2010 .

[8]  Nadia S. Ouedraogo.  Energy consumption and human development: Evidence from a panel cointegration and error correction model , 2013 .

[9]  T. Hertel,et al.  Impacts of the Doha Development Agenda on China: The Role of Labor Markets and Complementary Education Reforms , 2005 .

[10]  Price and Volatility Dynamics Between Electricity and Fuel Costs: Some Evidence for Spain , 2012 .

[11]  Maria Madalena T. de Araújo,et al.  Liberalisation, consumption heterogeneity and the dynamics of energy prices , 2005 .

[12]  D. Willenbockel.  Structural Effects of a Real Exchange Rate Revaluation in China: A CGE Assessment , 2006 .

[13]  Seung-Hoon Yoo,et al.  Does natural gas fuel price cause system marginal price, vice-versa, or neither? A causality analysis , 2012 .

[14]  Boqiang Lin,et al.  Electricity tariff reform and rebound effect of residential electricity consumption in China , 2013 .

[15]  Marcel Kohler,et al.  Differential Electricity Pricing and Energy Efficiency in South Africa , 2014 .

[16]  Detlef P. van Vuuren,et al.  Model projections for household energy use in developing countries , 2012 .

[17]  T. Sanquist,et al.  Lifestyle factors in U.S. residential electricity consumption , 2012 .

[18]  J. Torriti,et al.  Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy , 2012 .

[19]  Jing Zhang,et al.  Modeling the relationship between energy consumption and economy development in China , 2011 .

[20]  A. Moreira,et al.  The crucial relationship among energy commodity prices: Evidence from the Spanish electricity market , 2011 .

[21]  S. Nazari,et al.  Experimental determination and analysis of CO2, SO2 and NOx emission factors in Iran's thermal power plants , 2010 .

[22]  Tharith Sriv,et al.  Economic and environmental costs of rural household energy consumption structures in Sameakki Meanchey district, Kampong Chhnang Province, Cambodia , 2012 .

[23]  A. J. López,et al.  The electricity prices in the European Union. The role of renewable energies and regulatory electric market reforms , 2012 .

[24]  Chengzhu Gong,et al.  Multi-agent simulation of the time-of-use pricing policy in an urban natural gas pipeline network: A case study of Zhengzhou , 2013 .

[25]  Hai-ying He,et al.  Electricity demand price elasticity in China based on computable general equilibrium model analysis , 2011 .

[26]  Dimitris Margaritis,et al.  Market-driven coal prices and state-administered electricity prices in China , 2013 .

[27]  Chuanyi Lu,et al.  The impacts of carbon tax and complementary policies on Chinese economy , 2010 .

[28]  Qiang Wang,et al.  Market-driven energy pricing necessary to ensure China's power supply , 2009 .