The paper aims to evaluate the implications of the new residential pricing system in China by examining price and income elasticity of demand by different household types. We use pre-reform annual panel data for 29 provinces over a fourteen year period, from 1998 to 2011, applying feasible generalize least squares models. The price and income elasticities for household sector are -0.412, and 1.476 at nation level, -0.300 and 1.550 in urban areas and -0.522 and 1.093 in rural areas respectively. With regional effects, the price and income elasticities are -0.146 and 1.286 for urban households in coastal provinces and -0.772 and 1.259 for urban households in inland provinces respectively. The empirical results reveal that there is important h...
Residential electricity consumption in China experienced a boom in recent years and may increase fas...
We have developed a projection model to investigate the inter-regional and intra-regional urban-rura...
In this paper, panel data method is used to estimate the electricity demand function using data from...
Residential demand for electricity is estimated for China using a unique household level dataset. Ho...
Copyright © 2012 G. Shi et al. This is an open access article distributed under the Creative Commons...
Due to the wide coverage of first-tier electricity consumption and the small price difference betwee...
The household energy consumption has been a hot field in the study of household energy consumption i...
Based on the monthly micro-level data of Beijing urban households from 2002 to 2009, we estimate the...
Based on the monthly micro-level data of Beijing urban households from 2002 to 2009, we estimate the...
There are many uncertainties and risks in residential electricity consumption associated with econom...
An increasing block tariff (IBT) has been implemented nationwide in the residential sector in China ...
With the growth of residential electricity consumption and the development of power energy conservat...
The objective of this study is to estimate the price and income elasticity of residential electricit...
Abstract <An increasing block tariff (IBT) has been implemented nationwide in the residential sec...
Based on a Multi-Regional Input-Output (MRIO) model, and combined with the 2012 MRIO table for 30 Ch...
Residential electricity consumption in China experienced a boom in recent years and may increase fas...
We have developed a projection model to investigate the inter-regional and intra-regional urban-rura...
In this paper, panel data method is used to estimate the electricity demand function using data from...
Residential demand for electricity is estimated for China using a unique household level dataset. Ho...
Copyright © 2012 G. Shi et al. This is an open access article distributed under the Creative Commons...
Due to the wide coverage of first-tier electricity consumption and the small price difference betwee...
The household energy consumption has been a hot field in the study of household energy consumption i...
Based on the monthly micro-level data of Beijing urban households from 2002 to 2009, we estimate the...
Based on the monthly micro-level data of Beijing urban households from 2002 to 2009, we estimate the...
There are many uncertainties and risks in residential electricity consumption associated with econom...
An increasing block tariff (IBT) has been implemented nationwide in the residential sector in China ...
With the growth of residential electricity consumption and the development of power energy conservat...
The objective of this study is to estimate the price and income elasticity of residential electricit...
Abstract <An increasing block tariff (IBT) has been implemented nationwide in the residential sec...
Based on a Multi-Regional Input-Output (MRIO) model, and combined with the 2012 MRIO table for 30 Ch...
Residential electricity consumption in China experienced a boom in recent years and may increase fas...
We have developed a projection model to investigate the inter-regional and intra-regional urban-rura...
In this paper, panel data method is used to estimate the electricity demand function using data from...