Abstract
The changes of spatial pattern in energy consumption have an impact on global climate change. Based on the spatial autocorrelation analysis and the auto-regression model of spatial statistics, this study has explored the spatial disparities and driving forces in energy consumption changes in China. The results show that the global spatial autocorrelation of energy consumption change in China is significant during the period 1990–2010, and the trend of spatial clustering of energy consumption change is weakened. The regions with higher energy consumption change are significantly distributed in the developed coastal areas in China, while those with lower energy consumption change are significantly distributed in the less developed western regions in China. Energy consumption change in China is mainly caused by transportation industry and non-labor intensive industry. Rapid economic development and higher industrialization rate are the main causes for faster changes in energy consumption in China. The results also indicate that spatial autoregressive model can reveal more influencing factors of energy consumption changes in China, in contrast with standard linear model. At last, this study has put forward the corresponding measures or policies for dealing with the growing trend of energy consumption in China.
Highlights
The changes in energy consumption have obvious impacted on the pattern of carbon dioxide emission and on the process of global climatic change [1,2]
The test of significance shows that the regional distribution of energy consumption change in China during the period 1990–2000 is significantly clustering
The test of significance shows that regional distribution of energy consumption change in China during the period 1990–2010 is significantly clustering
Summary
The changes in energy consumption have obvious impacted on the pattern of carbon dioxide emission and on the process of global climatic change [1,2]. China is a country with huge amounts of energy consumption because of its rapid urbanization and industrialization [3,4,5,6,7]. With China’s rapid economic development, energy consumption shows a rapid growth trend [3,8,9,10]. How to maintain higher economic growth and lower energy consumption is the great concern in China. The behavior of energy consumption is affected by the economic environment and spatial distance-related migration costs, which has strong geographical features [12]. There is no enough attention to the spatial spillover of energy consumption and its influencing factors. It is important to explore the characteristics, rules and spatial pattern of energy consumption change in China. It is mostly supposed that the relationship between spatial entities is independent when the traditional methods are adopted to measure the spatial disparities of regional changes in energy consumption
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