The Internal and External Economic Effects of Smart Tourism City, Busan : Analysis Using an Inter-Regional Input-Output Model

2019 ◽  
Vol 31 (4) ◽  
pp. 87-101
Author(s):  
Hyunae Lee ◽  
Sung Byung Yang ◽  
Namho Chung
Keyword(s):  
Economic Effects ◽  
Input Output ◽  
Smart Tourism

scholarly journals The Intra- and Inter-Regional Economic Effects of Smart Tourism City Seoul: Analysis Using an Input-Output Model

2021 ◽  
Vol 13 (7) ◽  
pp. 4031
Author(s):  
Hyunae Lee ◽  
Sunyoung Hlee
Keyword(s):  
Value Added ◽  
Economic Effects ◽  
Tax Revenue ◽  
Ripple Effect ◽  
Input Output ◽  
Regional Economic ◽  
High Production ◽  
Production Effects ◽  
The City ◽  
Smart Tourism

A competitive smart tourism city can be a solution for building resilience to address current and future crises and even be a booster of the economic effects of tourism, since it has an economic ripple effect both inside and outside of the city. This study tried to estimate the intra- and inter-regional economic effects of the smart tourism city Seoul, which has high competitiveness as a smart tourism city. First, this study tried to objectively clarify the scope of smart tourism based on a Delphi survey and then adopted the inter-regional input–output model. The results showed that smart tourism city Seoul is expected to create high income, high value-added, and job creation effects inside the city, and will greatly contribute to securing tax revenue. Outside of the city, smart tourism city Seoul is expected to induce high production effects. Based on these results, this study highlights the economic effects of a smart tourism city, which describes the convergence of technology and tourism.

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

2020 ◽  
Author(s):  
Heni Subiyanti ◽  
Moinul Islam ◽  
Masaru Ichihashi
Keyword(s):  
Natural Disasters ◽  
Volcanic Eruption ◽  
State Level ◽  
Economic Effects ◽  
Input Output ◽  
Output Analysis ◽  
Services Sector ◽  
Forestry Sector ◽  
Level Data ◽  
Fiscal Support

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.

Conjoining an Input-Output Model and a Policy Analysis Model: A Case Study of the Regional Economic Effects of Expanding a Port Facility

1981 ◽  
Vol 13 (8) ◽  
pp. 1029-1038 ◽  
Author(s):  
B H Stevens ◽  
G I Treyz ◽  
J K Kindahl
Keyword(s):  
Policy Analysis ◽  
Simulation Models ◽  
Economic Effects ◽  
Input Output ◽  
Analysis Model ◽  
General Applicability ◽  
Distinctive Features ◽  
The Cost ◽  
Port Facility

A 484-sector Massachusetts static input-output (MIO) model is conjoined with the Massachusetts Economic Policy Analysis (MEPA) model which includes supply relationships, industrial location responses to changing costs, and a production function allowing substitution among inputs. This makes it possible to draw upon the distinctive features of both models. The technique is demonstrated by a study that analyzes the effect on the Massachusetts economy of the expansion of a container port facility at Boston. The approach presented here has general applicability to policy analysis and planning studies that require both the detailed regional interindustry interactions captured by a disaggregated input-output model and the cost, price, supply, location, and demand interdependencies which are endogenous in the best regional forecasting and policy simulation models.

scholarly journals A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Xianhua Wu ◽  
Guo Wei ◽  
Lingjuan Yang ◽  
Ji Guo ◽  
Huaguo Lu ◽  
...  
Keyword(s):  
Delphi Method ◽  
Economic Effect ◽  
Economic Effects ◽  
Jiangxi Province ◽  
Preventive Strategies ◽  
Input Output ◽  
Services Sector ◽  
Leontief Inverse ◽  
The Impact ◽  
Industrial Economic

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.

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.

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