National Economic Effects of Smart Farm : Using Input-output Analysis

2019 ◽  
Vol 32 (4) ◽  
pp. 1313-1332
Author(s):  
Jae-Pyo Hong ◽  
Dong-Eok Kim ◽  
Soon-Jung Hong
Keyword(s):  
Economic Effects ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
National Economic

scholarly journals Input-Output Analysis of the Regional Economic Effects by Social Security

2005 ◽  
Vol 24 (Special_Issue) ◽  
pp. S127-S132
Author(s):  
Shinpei SHIMOURA ◽  
Shinichi KURIHARA
Keyword(s):  
Social Security ◽  
Economic Effects ◽  
Input Output ◽  
Output Analysis ◽  
Regional Economic ◽  
Input Output Analysis

Economic effects of the liquid biofuel industry in South Korea using input–output analysis

2019 ◽  
Vol 31 (3) ◽  
pp. 424-439
Author(s):  
Hyoung-Ju Seo ◽  
Ha-na Kim ◽  
Eui-Chan Jeon
Keyword(s):  
South Korea ◽  
Heavy Oil ◽  
Value Added ◽  
Oil Industry ◽  
Economic Effects ◽  
Fuel Oil ◽  
Input Output ◽  
Heavy Fuel Oil ◽  
Output Analysis ◽  
Input Output Analysis

Bio-energy is a research field that is of worldwide interest. South Korea, which imports all of its heavy fuel oil for consumption, passed a new law allowing bio-heavy oil made from animal fat, by-product of biodiesel processes, palm oil, and other leftover oil to be used to generate electricity in place of heavy fuel oil. As there is lack of policy research with respect to liquid biofuels, the purpose of this study is to define the bio-heavy oil industry in South Korea and to investigate the economic effects of bio-heavy oil. An input–output analysis model was used and demonstrated that the production-, value-added-, import-, and employment-induced effects of the bio-heavy oil industry were larger than those induced by the heavy fuel oil industry. As the import of fuel by the heavy fuel oil industry was greater than the bio-heavy oil industry, the import substitution effect of the bio-heavy oil industry was found to be greater. This resulted in a positive value for the net-induced effect of the bio-heavy oil industry. When considering the global concern with respect to the development and expansion of biofuel feedstock, this study shows the possibility of transforming heavy fuel oil plants distributed around the world into renewable energy sources.

scholarly journals The Economic Effects of Deregulation and Input-Output Analysis

1997 ◽  
Vol 8 (1) ◽  
pp. 53-62
Author(s):  
Tomoyoshi NAKAJIMA ◽  
Tomoaki USUKI
Keyword(s):  
Economic Effects ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis

scholarly journals Identifying Hub Wastewater Propagation Chains in China’s National Economic System: A Model Coupled Input-Output Analysis with Graphical Theory

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2351
Author(s):  
Xuefeng Li ◽  
Xiuli Liu
Keyword(s):  
Economic System ◽  
National Level ◽  
Policy Implications ◽  
Wastewater Management ◽  
Traditional Model ◽  
Wastewater Discharge ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
National Economic

Wastewater propagation chains (WPCs) measure inter-sector average propagation lengths (APL) of wastewater discharge. To achieve sustainable wastewater management, one needs to understand the propagation mechanisms by identifying WPCs at a national level over time. However, the traditional model of identifying WPCs is prone to retaining APLs with lower values but larger wastewater discharge intensities, ignoring many linkages whereby intensities are less than a preset threshold. Nevertheless, these overlooked linkages are valuable in understanding wastewater propagation mechanisms. This study proposed a new model coupled input-output analysis with the graphical theory, called the average propagation lengths-hub covariance graph (APL-HCG). This model can investigate WPCs where the closeness of sector linkages exceeds the preset thresholds. Furthermore, it is capable of retaining linkages for identifying hub wastewater propagation chains (HWPCs). Based on APL-HCG, the resultant HWPCs are decomposed as separated sub-chains which are basically composed of linkages among certain significant sectors belonging to the secondary industry or the tertiary industry. Scenario analyses show that HWPCs are effective in reducing wastewater discharge in the national economic system. The total wastewater discharge would decrease by 1.36%, 2.53%, 2.46%, and 2.11% if we reduced 10% of the final demand of all sectors in HWPCs in 2002, 2007, 2012, and 2017. The APL-HCG model outperforms the traditional model on WPCs by 0.14%, 1.61%, 0.47%, and 0.10%, respectively. The APL-HCG model is 0.21%, 0.68%, 0.70%, and 0.35% better than the scenario of random sampling with the number of sectors equal to HWPCs, respectively. Certain policy implications were provided to reduce wastewater effectively at the national level.

Economic Effects of a Biodiesel Sector Analyzed Using Input-Output Analysis

2021 ◽  
Vol 12 (3) ◽  
pp. 203-213
Author(s):  
Hyoung-Ju Seo ◽  
Soon-Chul Jung ◽  
Eui-Chan Jeon
Keyword(s):  
Economic Effects ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis
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