scholarly journals The Economic Effects of Research-led Agricultural Development Assistance: The Case of Korean Programs on International Agriculture

2019 ◽  
Vol 11 (19) ◽  
pp. 5224
Author(s):  
Sauk-Hee Park ◽  
Kwang-Min Moon

South Korea’s Rural Development Administration embarked on the Korean Programs on International Agriculture (KOPIA) in six developing countries for agricultural development assistance in 2009, and the programs were undertaken in 21 countries in 2018. The purposes of the KOPIA are to introduce new agricultural technologies by cooperative research and development, and to extend developed technologies to farmers and agricultural businesses. In this paper, the economic effects of the KOPIA are estimated in 23 recipient countries in terms of their production and value-added inducement effect. In doing so, the inter-industry relation analysis method is used with an input-output table for each country from the Eora multi-region input-output (Eora MRIO) database. From the analysis between 2009 and 2017, the production inducement effect (PIE) by the KOPIA in the 23 countries is estimated to total US$99 million, accounting for 1.7 times its total budget of US$58.9 million, and the value-added inducement effect (VIE) in the 13 countries is estimated to total US$23.9 million. More importantly, the PIE and VIE continue to be higher in some countries, and the annual VIE tends to increase in most of the countries. These findings imply that the research-led KOPIA has contributed to agricultural development and further economic growth through inter-industrial relations in the recipients.

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.


2020 ◽  
Vol 10 (15) ◽  
pp. 5037
Author(s):  
Ju-Hee Kim ◽  
Sin-Young Kim ◽  
Seung-Hoon Yoo

When South Korea develops a new city, the government has made a preliminary decision on one of two heating systems, an individual heating system (IHS) or a district heating system (DHS). However, it is still unclear which system is desirable in terms of maximizing the national economic effect. Thus, this article aims to derive quantitative information about the economic effects of the same amount of production or investment in the two systems through an input-output (IO) analysis using the recently published 2017 IO table. More specifically, the production-inducing effects, value-added creation effects, and wage-inducing effects are systematically analyzed focusing on the IHS and DHS sectors. The results show that one dollar of production or investment in IHS or DHS causes about 1.073 and 1.388 dollars of production, about 0.228 and 0.658 dollars of value-added, and about 0.051 and 0.108 dollars in wages, respectively, throughout the national economy. Overall, the economic effects of the DHS sector are greater than those of the IHS sector. That is, when the same amount of investment or production is made in the two sectors, DHS produces more economic effects than IHS.


2021 ◽  
Vol 13 (7) ◽  
pp. 4031
Author(s):  
Hyunae Lee ◽  
Sunyoung Hlee

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.


2021 ◽  
Vol 28 (5) ◽  
pp. 28-38
Author(s):  
A. P. Zinchenko ◽  
M. V. Kagirova

The growing interest both in our country and throughout the world in agriculture as an economic activity of strategic importance for ensuring food independence of the country determines the relevance of research on devising approaches to the analysis of its development using statistical methods. The authors’ approaches to assessing the development of agriculture in Russia based on data from the system of national accounts, including input-output tables, presented in this paper, make it possible to characterize the dynamics of the formation and use of output and gross value added (GVA) of the agricultural sector of the economy (including in the institutional context); assess the demand for each of the presented products within the industry and in the intermediate consumption of other industries; to identify structural changes in the composition of intermediate consumption in the production of goods; determine the trends and prospects for the development of agriculture on their basis.As part of the study, the authors disclosed additional analytical capabilities of statistical databases that include agricultural censuses and current accounting data in the system of macroeconomic indicators and allow for a more accurate assessment of the effectiveness of agricultural development. The calculated coefcients of direct costs ranged in the form of time series, analysis of the structure of intermediate consumption made it possible to identify the features of the development of the Russian agricultural sector and the directions for improving its economic and statistical analysis. The authors argue for the need to take into account the phenomenon of multistructure of agriculture in Russia to calculate the gross value added produced in the sector of peasant farms, subsidiary farms, separately small and large agricultural organizations, including holdings, with the obligatory comparison of the selling prices of their products used when calculating output and GVA. A proposal was made to include a table with additional information on labor costs and consumption of feed, fertilizers, electricity, and other basic resources in physical terms in the system of input-output tables by industry. 


2018 ◽  
Vol 73 (1) ◽  
pp. 94-110 ◽  
Author(s):  
Kai Kronenberg ◽  
Matthias Fuchs ◽  
Maria Lexhagen

Purpose Previous studies on tourism input-output (IO) primarily focus on a single year’s snapshot or utilize outdated IO coefficients. The purpose of this paper is to analyze the multi-period development of regional tourism capacities and its influence on the magnitude of the industry’s regional economic contribution. The paper highlights the importance of applying up-to-date IO coefficients to avoid estimation bias typically found in previous studies on tourism’s economic contribution. Design/methodology/approach For the period 2008-2014, national IO tables are regionalized to estimate direct and indirect economic effects for output, employment, income and other value-added deffects. A comparison of Leontief inverse matrices is conducted to quantify estimation bias when using outdated models for analyzing tourism’s economic contribution. Findings On the one hand, economic linkages strengthened, especially for labour-intensive sectors. On the other hand, sectoral recessions in 2012 and 2014 led to an economy-wide decline of indirect effects, although tourists’ consumption was still increasing. Finally, estimation bias observed after applying an outdated IO model is quantified by approximately US$4.1m output, 986 jobs full-time equivalents, US$24.8m income and US$14.8m other value-added effects. Research limitations/implications Prevailing assumptions on IO modelling and regionalization techniques aim for more precise survey-based approaches and computable general equilibrium models to incorporate net changes in economic output. Results should be cross-validated by means of qualitative interviews with industry representatives. Practical implications Additional costs for generating IO tables on an annual base clearly pay off when considering the improved accuracy of estimates on tourism’s economic contribution. Originality/value This study shows that tourism IO studies should apply up-to-date IO models when estimating the industry’s economic contribution. It provides evidence that applying outdated models involve the risk of estimation biases, because annual changes of multipliers substantially influence the magnitude of effects.


Author(s):  
Celal Taşdoğan ◽  
Bilgen Taşdoğan

Turkey has realized high growth rates during the period of 2002-2011, except in 2008 and 2009 years. It is thought that the rapidly growing in the country may cause a lot of environmental damage, especially air pollution problems. In other words, the productive sectors have produced two outputs which are economic value added and air pollutants. This study used input output matrixes are to find out the strategically important sectors as it is known key sectors and weak sectors caused the environmental effects in the country. For this purpose, it has been tried to investigate air pollutant quantities which caused by the production process of the sectors in the period of 2002-2011 and performed the input-output tables for Turkey constructed in the World Input Output Database (WIOD) Project. These input-output tables include the emission satellite accounts, which are CO2 emissions and other air pollutants, respectively N2O, CH4, N2O, NOx, SOx, CO, NMVOC and NH3, disaggregated for the 34 sectors. It is expected that the outcomes of the study may contribute to sustainable growth debates and environmental policy implementations in Turkey.


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