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

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5287
Author(s):  
Yuehui Xia ◽  
Ting Zhang ◽  
Miaomiao Yu ◽  
Lingying Pan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Rapid Development ◽  
Input Output ◽  
Output Analysis ◽  
Four Dimensions ◽  
Low Energy Consumption ◽  
Level Of Economic Development ◽  
Radar Map ◽  
Consumption Control

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.

scholarly journals An Empirical Analysis of Energy Consumption, FDI and High Quality Development Based on Time Series Data of Zhejiang Province

2020 ◽  
Vol 17 (9) ◽  
pp. 3321
Author(s):  
Shaolong Zeng ◽  
Yiqun Liu ◽  
Junjie Ding ◽  
Danlu Xu
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Energy Consumption ◽  
Open Economy ◽  
High Speed ◽  
Time Series Data ◽  
Rapid Development ◽  
Series Data ◽  
High Quality ◽  
The Relationship

This paper aims to identify the relationship among energy consumption, FDI, and economic development in China from 1993 to 2017, taking Zhejiang as an example. FDI is the main factor of the rapid development of Zhejiang’s open economy, which promotes the development of the economy, but also leads to the growth in energy consumption. Based on the time series data of energy consumption, FDI inflow, and GDP in Zhejiang from 1993 to 2017, we choose the vector auto-regression (VAR) model and try to identify the relationship among energy consumption, FDI, and economic development. The results indicate that there is a long-run equilibrium relationship among them. The FDI inflow promotes energy consumption, and the energy consumption promotes FDI inflow in turn. FDI promotes economic growth indirectly through energy consumption. Therefore, improving the quality of FDI and energy efficiency has become an inevitable choice to achieve the transition of Zhejiang’s economy from high speed growth to high quality growth.

A Study on Energy Consumption and CO2 Emissions According to Manufacture of Recycled Rebar Using Wasted Steel from Building Demolition

2013 ◽  
Vol 357-360 ◽  
pp. 869-875
Author(s):  
Gi Wook Cha ◽  
Won Hwa Hong ◽  
Sung Woo Shin
Keyword(s):  
Energy Consumption ◽  
Iron Ore ◽  
Ghg Emissions ◽  
Raw Material ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Ghg Reduction ◽  
The Comparative Study ◽  
Building Demolition

In recent year, Korea relies on imports for most of the iron ore, the main raw material of rebar, resulting in CO2 pollution with lots of energy consumption. Hereupon, this study carried out the research on the energy consumption and CO2 emissions of the recycled rebar using the wasted steel from building demolition. For that, this study worked out the energy consumption and CO2 emissions in the process of generation, transportation and production of wasted steel and, on the basis of which, it conducted the comparative study with virgin materials. The major research results are as follows: First, the energy consumption and CO2 emissions of the recycled rebar were found to be highest in the process of its production at 89.2% and 85%, respectively. In addition, in the comparison between recycled rebar and virgin material, the former was found to be most advantageous in energy consumption. On the contrary, as for CO2 emissions, the recycled rebar showed a 88.3% reduction possibility of greenhouse gas (GHG) emissions comparing to statistics of input-output analysis based on competition inducement coefficient, but it was found to be more disadvantageous from the perspective of GHG reduction than the statistics of input-output analysis based on non-competition inducement coefficient.

A Preliminary Input-Output Table for Large-Scale Industries in Pakistan

1962 ◽  
Vol 2 (1) ◽  
pp. 47-83
Author(s):  
John C. H. Fei
Keyword(s):  
Economic Development ◽  
General Equilibrium ◽  
Large Scale ◽  
Equilibrium Theory ◽  
Equilibrium Analysis ◽  
Input Output ◽  
General Equilibrium Theory ◽  
Output Analysis ◽  
Output Table ◽  
Input Output Analysis

As an approach to economic problems, the input-output analysis is in the tradition of general equilibrium economics. However, it is a general equilibrium analysis with numerical strength. It is a general equilibrium theory because it analyzes all the industrial sectors of the economy simul¬taneously with special emphasis on the production relations among the industries. It is an approach with numerical strength because the basic formulation of the theory is amenable to statistical implementation in the econometric sense. Being such, this approach can be, and has been, applied to provide numerical answers to problems related to total economic mobilization of an economy, e.g., for war, for peace or for economic development. For this reason, it has a direct policy orientation; and, can be usefully applied to planning for economic development. On account of the fact that it is a general equilibrium theory with numerical strength, the input-output analysis is not an inexpensive approach. This is due to the fact that stupendous effort is involved in the collection and the processing of statistical data, for all the major production sectors, as well as in tabulation and computation. This is difficult even when the data are available, and when the data are not available, an effort in this direction is thwarted at the very initial stage. The standard reason given for not applying an input-output approach in planning for economic development is that data are not available. In this respect, Pakistan is a typical case. It is the purpose of this paper to present a preliminary input-output table for large-scale industries in Pakistan. As the base year for table, we have selected calendar year 1955, primarily because for this year the census of manufacturing industries is most detailed and most suitable for our purpose. As far as we know, this table is the first of its kind. However, in view of the data problem, the input-output table that will be presented is only a preliminary one. Not only does it exclude all production sectors

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