Recuperation of economy after volcanic eruption in Mt. Merapi, Indonesia: a multiregional input-output analysis

2020 ◽  
Author(s):  
Heni Subiyanti ◽  
Moinul Islam ◽  
Masaru Ichihashi

Abstract Indonesia is in one of the disaster-prone points, the ring of fire, which frequently suffer from natural disasters. Mt. Merapi volcanic eruption in 2010 was one of the catastrophic natural disasters, which caused the approximate economic damages of 3,628 trillion Indonesian rupiah. To recover the loss of different sectors of the economy, the central and regional governments allocates special budget for recovery and reconstruction. We assess the induced economic effects of Mt. Merapi eruption recovery fiscal support by using a multiregional input-output (MRIO) model. We utilize the state level data of the 2005 Indonesian interregional input-output table (IRIO) and the 2011–2013 volcano eruption restoration. Our results indicate that the effect of 2010 recovery budget for Mt. Merapi eruption contributed to the economy of the hazard-affected Yogyakarta Special Region. In addition, the forestry sector, other services sector, and construction sectors have a significantly benefited from the induced output by fiscal support.

2021 ◽  
Vol 13 (6) ◽  
pp. 3477
Author(s):  
Jungseok Choi ◽  
Woohyoung Kim ◽  
Seokkyu Choi

This study contributes by analyzing the economic effects of China’s distribution industry based on China’s 2012 and 2017 input-output data. It analyzes changes in the forward and backward linkage effect over a five-year period in accordance with the Chinese government’s distribution industry policy. The coefficients of the effects of the Chinese distribution industry, using Input-Output Tables and a comparative analysis of the sensitivity of dispersion, were determined. In terms of the coefficient of influence, most of the sectors that ranked high in 2012 are related to manufacturing, except for lodging and catering. The sensitivity and influence coefficients indicate that the top-ranked sectors in 2012 were more affected by the raw materials and energy essential for manufacturing development than by the services sector.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Xianhua Wu ◽  
Guo Wei ◽  
Lingjuan Yang ◽  
Ji Guo ◽  
Huaguo Lu ◽  
...  

Concentrating on consuming coefficient, partition coefficient, and Leontief inverse matrix, relevant concepts and algorithms are developed for estimating the impact of meteorological services including the associated (indirect, complete) economic effect. Subsequently, quantitative estimations are particularly obtained for the meteorological services in Jiangxi province by utilizing the input-output method. It is found that the economic effects are noticeably rescued by the preventive strategies developed from both the meteorological information and internal relevance (interdependency) in the industrial economic system. Another finding is that the ratio range of input in the complete economic effect on meteorological services is about 1 : 108.27–1 : 183.06, remarkably different from a previous estimation based on the Delphi method (1 : 30–1 : 51). Particularly, economic effects of meteorological services are higher for nontraditional users of manufacturing, wholesale and retail trades, services sector, tourism and culture, and art and lower for traditional users of agriculture, forestry, livestock, fishery, and construction industries.


2019 ◽  
Vol 31 (3) ◽  
pp. 424-439
Author(s):  
Hyoung-Ju Seo ◽  
Ha-na Kim ◽  
Eui-Chan Jeon

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.


1997 ◽  
Vol 8 (1) ◽  
pp. 53-62
Author(s):  
Tomoyoshi NAKAJIMA ◽  
Tomoaki USUKI

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