Macroeconomic, intersectoral, and environmental effects of R&D subsidies in Chile: An input-output approach

•R&D subsidies in Chile are simulated with an intersectoral approach.•IOT and Survey of R&D expenditure are merged to use the Leontief price model.•R&D sector has the lowest backward linkage and employment effect.•Most intensive sectors in the use of domestic R&D receive indirect ben...

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Published in:Technological forecasting & social change Vol. 173; p. 121112
Main Authors: Mardones, Cristian, Velásquez, Andrés
Format: Journal Article
Language:English
Published: New York Elsevier Inc 01-12-2021
Elsevier Science Ltd
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Abstract •R&D subsidies in Chile are simulated with an intersectoral approach.•IOT and Survey of R&D expenditure are merged to use the Leontief price model.•R&D sector has the lowest backward linkage and employment effect.•Most intensive sectors in the use of domestic R&D receive indirect benefits.•Links between R&D subsidies and environmental impacts are obtained. The present study simulates subsidies to the R&D in Chile with an intersectoral approach known as the Leontief price model. For this, it has been used information from the Input-Output Tables (IOT), R&D expenditures at the sector level collected from the Survey of R&D Expenditure and Research Personnel, and labor market data available from the National Socioeconomic Characterization Survey. Thus, the official IOT data are broken down into new sectors to represent monetary transactions carried out by the R&D sector. Then, it is possible to obtain changes on macroeconomic, intersectoral, and environmental variables for different subsidy rates throughout the simulations performed with the model. The results show that an increase in R&D subsidies reduces the prices slightly and increases production, employment, and emissions at the sectoral level. Additionally, it is determined that the fiscal expenditure required to finance this subsidy is greater than the stimulus on national production. Finally, it can be concluded that the positive effects appear to be more relevant than negative impacts, so it is recommended to increase the rate of R&D subsidy in the country according to the availability of fiscal resources.
AbstractList •R&D subsidies in Chile are simulated with an intersectoral approach.•IOT and Survey of R&D expenditure are merged to use the Leontief price model.•R&D sector has the lowest backward linkage and employment effect.•Most intensive sectors in the use of domestic R&D receive indirect benefits.•Links between R&D subsidies and environmental impacts are obtained. The present study simulates subsidies to the R&D in Chile with an intersectoral approach known as the Leontief price model. For this, it has been used information from the Input-Output Tables (IOT), R&D expenditures at the sector level collected from the Survey of R&D Expenditure and Research Personnel, and labor market data available from the National Socioeconomic Characterization Survey. Thus, the official IOT data are broken down into new sectors to represent monetary transactions carried out by the R&D sector. Then, it is possible to obtain changes on macroeconomic, intersectoral, and environmental variables for different subsidy rates throughout the simulations performed with the model. The results show that an increase in R&D subsidies reduces the prices slightly and increases production, employment, and emissions at the sectoral level. Additionally, it is determined that the fiscal expenditure required to finance this subsidy is greater than the stimulus on national production. Finally, it can be concluded that the positive effects appear to be more relevant than negative impacts, so it is recommended to increase the rate of R&D subsidy in the country according to the availability of fiscal resources.
The present study simulates subsidies to the R&D in Chile with an intersectoral approach known as the Leontief price model. For this, it has been used information from the Input-Output Tables (IOT), R&D expenditures at the sector level collected from the Survey of R&D Expenditure and Research Personnel, and labor market data available from the National Socioeconomic Characterization Survey. Thus, the official IOT data are broken down into new sectors to represent monetary transactions carried out by the R&D sector. Then, it is possible to obtain changes on macroeconomic, intersectoral, and environmental variables for different subsidy rates throughout the simulations performed with the model. The results show that an increase in R&D subsidies reduces the prices slightly and increases production, employment, and emissions at the sectoral level. Additionally, it is determined that the fiscal expenditure required to finance this subsidy is greater than the stimulus on national production. Finally, it can be concluded that the positive effects appear to be more relevant than negative impacts, so it is recommended to increase the rate of R&D subsidy in the country according to the availability of fiscal resources.
ArticleNumber 121112
Author Velásquez, Andrés
Mardones, Cristian
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  organization: Industrial Civil Engineer, Department of Industrial Engineering, University of Concepcion, Edmundo Larenas 217, 4th floor, Concepción, Chile
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Snippet •R&D subsidies in Chile are simulated with an intersectoral approach.•IOT and Survey of R&D expenditure are merged to use the Leontief price model.•R&D sector...
The present study simulates subsidies to the R&D in Chile with an intersectoral approach known as the Leontief price model. For this, it has been used...
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StartPage 121112
SubjectTerms Employment
Environment
Environmental effects
Expenditures
Input-Output
Labor market
Leontief price model
Macroeconomics
R&D
Research & development
Research & development expenditures
Subsidies
Title Macroeconomic, intersectoral, and environmental effects of R&D subsidies in Chile: An input-output approach
URI https://dx.doi.org/10.1016/j.techfore.2021.121112
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