China has witnessed rapid economic development since 1978, and during the time, energy production and consumption developed at a tremendous speed as well. Energy efficiency which can be measured by energy consumption ...China has witnessed rapid economic development since 1978, and during the time, energy production and consumption developed at a tremendous speed as well. Energy efficiency which can be measured by energy consumption per unit of GDP, however, experienced continuous decrease. Theoretically, the change of energy efficiency can be attributed to industry structural change and technological change. In order to explain the transformation of Chinese energy efficiency, we adopt logarithmic mean Divisia index techniques to decompose changes in energy intensity in the period of 1994-2005. We find that technological change is the dominant contributor in the decline of energy intensity, but the contribution has declined since 2001. The change in industry structure has decreased the energy intensity before 1998, but raised the intensity after 1998. Decomposed technological effects for all sectors indicate that technological progresses in high energy consuming industries such as raw chemical materials and chemical products, smelting and pressing of ferrous metals, manufacture of non-metallic mineral products and household contribute are the principal drivers of China's declining energy intensity.展开更多
The energy consumption of China＇s metropolitan areas has expanded from production areas to other areas such as the service area,and characteristics differ across small and medium-sized cities.Using the Logarithmic Me...The energy consumption of China＇s metropolitan areas has expanded from production areas to other areas such as the service area,and characteristics differ across small and medium-sized cities.Using the Logarithmic Mean Divisia Index（LMDI） decomposition method,we conducted a factor decomposition analysis on changes in energy consumption for 32 Chinese metropolises from 1995–2012 that had a resident population of at least 1 million people in 1995.On the basis of a comprehensive consideration of urban economic growth,population expansion and spatial expansion,energy consumption factors can be decomposed into five indicators： economic scale,energy consumption per unit of output value,energy consumption per capita,population density and energy space support coefficient.We valued the contribution of each factor to metropolises＇ energy consumption to determine generality and regional differences.展开更多
基金funded by National Science Foundation (Grant No.40535027,40871065)program of Enviromental Education Base of Chinese University Students
文摘China has witnessed rapid economic development since 1978, and during the time, energy production and consumption developed at a tremendous speed as well. Energy efficiency which can be measured by energy consumption per unit of GDP, however, experienced continuous decrease. Theoretically, the change of energy efficiency can be attributed to industry structural change and technological change. In order to explain the transformation of Chinese energy efficiency, we adopt logarithmic mean Divisia index techniques to decompose changes in energy intensity in the period of 1994-2005. We find that technological change is the dominant contributor in the decline of energy intensity, but the contribution has declined since 2001. The change in industry structure has decreased the energy intensity before 1998, but raised the intensity after 1998. Decomposed technological effects for all sectors indicate that technological progresses in high energy consuming industries such as raw chemical materials and chemical products, smelting and pressing of ferrous metals, manufacture of non-metallic mineral products and household contribute are the principal drivers of China's declining energy intensity.
基金CAS Knowledge Innovation Project(ID:KZCX2-YW-03-08c)National Natural Science Foundation of China(No.41171444)
文摘The energy consumption of China＇s metropolitan areas has expanded from production areas to other areas such as the service area,and characteristics differ across small and medium-sized cities.Using the Logarithmic Mean Divisia Index（LMDI） decomposition method,we conducted a factor decomposition analysis on changes in energy consumption for 32 Chinese metropolises from 1995–2012 that had a resident population of at least 1 million people in 1995.On the basis of a comprehensive consideration of urban economic growth,population expansion and spatial expansion,energy consumption factors can be decomposed into five indicators： economic scale,energy consumption per unit of output value,energy consumption per capita,population density and energy space support coefficient.We valued the contribution of each factor to metropolises＇ energy consumption to determine generality and regional differences.
