There is regional difference either in large electricity consumption demand or in regional economic development.The relationship between electricity demand and economic development is much complicated, and can not be explained by ordinary least squares (OLS) estimation with constant coefficients.Using geographical weighed regression (GWR) model of spatial varying-coefficient regression models (SVCRM) of spatial econometrics, this paper analyses the locally relationship between electricity consumption and economic development of 30 Chinese provinces.The results show that 1) the spatial factor influences the relationship between regional electricity consumption and economic growth, and the geographical weighed regression (GWR) model of spatial varying-coefficient regression models (SVCRM), taking the spatial effect into account, is a better model than OLS estimation; 2) there is a spatially associated relationship between the electricity consumption and economic growth and the spatial pattern of 30 Chinese provinces displays a local characteristics; 3) the electricity prices of most provinces have the unbalanced and negative impact on the regional electricity consumption; 4) the unbalanced industrial structure and population growth of most provinces have a positive impact on the regional electricity consumption; and 5) it is necessary to establish a regulative and control policy of electricity consumption diversity such as promoting the regional economic growth quality, reforming the electricity prices, persisting in the family control policy, and regulating and optimizing the industrial structure to realize the balance development of saving energy, lowering energy consumption and reducing pollutants discharge.
WU Yu-ming, LI Jian-xia
. A Local Spatial Econometric Study on Relationship between Electricity Consumption and Economic Growth of Chinese Provinces[J]. SCIENTIA GEOGRAPHICA SINICA, 2009
, 29(1)
: 30
-35
.
DOI: 10.13249/j.cnki.sgs.2009.01.30
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