Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015

Liu, Hong; Wang, Chang; Tian, Meiyu; Wen, Fenghua

doi:10.1016/j.energy.2019.01.067

Cited by 59 publications

(25 citation statements)

References 45 publications

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“…Meanwhile, we can get X P i,2016,(1) by adding Z P ij,2016,(1) in rows. 2 we can get the initial row ratio (β 1 ) in Equation 13.…”

Section: To Analyze the Intermediate Flowmentioning

confidence: 99%

“…Multi-region in economic sense: division based on the four economic sectors proposed in the 11th Five-Year Plan: eastern, western, central and northeast parts (30 regions) [2].…”

Section: Multi-regional Input-output (Mrio) Modelmentioning

confidence: 99%

“…SDA method: Its data used are mostly outdated because it requires national or regional complete input-output tables, which is hard to come by [23]; IDA method: Its data used are most updated because it adopts time-series data [23]; It mainly includes Laspeyres Index Methods (LIMs) and Divisia Index Methods (DIMs) and Log Mean Divisia Index (LMDI); LIM method: It is simple to understand, but there are residual items in the decomposition result. DIM method: It is hard to understand with no unexplainable residual problems [2]; LMDI method: It has better adaptability, and theoretical foundation, computational simplicity, and good decomposition results without any unexplained residuals term [12,21,22]. It is user-friendly.…”

Section: Advantages and Disadvantages Applicationmentioning

confidence: 99%

“…In the "new normal" status of China's economy, the growth rate of energy consumption is slowing down, and problems of development quality and efficiency are prominent [1]. Meanwhile, problems such as unbalanced and uncoordinated energy development demand prompt solutions in China [2][3][4][5][6]. The unbalanced development is mainly reflected in the consumption structure of energy production, such as the normalization of excess coal production in China.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, in this paper, we specifically attempt to answer three questions: (1) How to demonstrate the changes of energy consumption in the sense of comprehensive consideration of administration, economic development level and energy related indicators? (2) What are the underlying reasons behind the changes of energy consumption? (3) Which policies can we stick with in the next stage of development?…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Regional Disparities and Transformation of Energy Consumption in China Based on a Hybrid Input-Output Analysis

Xia

Zhang

et al. 2020

Energies

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Different regions in China have different energy consumption characteristics and changing trends. This paper focuses on analyzing trends in energy consumption changes along the timeline for 30 regions in China. Using the Hybrid Input-Output Model, this paper decomposes energy consumption in 30 regions in 2007, 2012 and 2016 into energy embedded of final consumption expenditure, gross capital formation, inflow and outflow. We use these four dimensions as coordinates to draw a regional radar map. According to the changing characteristics of the radar map, 30 regions are divided into three groups. By analyzing the reasons for the changes in three regions, we draw the following conclusions. For regions where energy consumption is mainly inflow, the economically developed regions have to form a low energy consumption environment while achieving economic growth. The economically underdeveloped regions need to carry out energy conservation and emission reduction as well as ensuring the level of economic development. For some outflow regions with moderately economic development, it is necessary to balance the economic development and energy consumption control according to regional characteristics. For resource-rich regions which are in the process of transformation from agriculture to industrialization, they have to maintain the rapid development speed and strengthen their infrastructure with less energy consumption of buildings.

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“…Meanwhile, we can get X P i,2016,(1) by adding Z P ij,2016,(1) in rows. 2 we can get the initial row ratio (β 1 ) in Equation 13.…”

Section: To Analyze the Intermediate Flowmentioning

confidence: 99%

“…Multi-region in economic sense: division based on the four economic sectors proposed in the 11th Five-Year Plan: eastern, western, central and northeast parts (30 regions) [2].…”

Section: Multi-regional Input-output (Mrio) Modelmentioning

confidence: 99%