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.

本研究使用称为 Leontief 价格模型的跨部门方法模拟对智利研发的补贴。为此，它使用了投入产出表 (IOT) 中的信息、从研发支出和研究人员调查中收集的部门层面的研发支出，以及从国家社会经济特征调查中获得的劳动力市场数据。因此，官方物联网数据被分解为新的部门，以代表研发部门进行的货币交易。然后，在使用模型执行的整个模拟过程中，可以获得不同补贴率的宏观经济、部门间和环境变量的变化。结果表明，R&D 补贴的增加使价格略有下降，并增加了生产、就业、和部门层面的排放。此外，确定为该补贴提供资金所需的财政支出大于对国民生产的刺激。最后，可以得出结论，积极影响似乎比消极影响更相关，因此建议根据财政资源的可用性提高该国的研发补贴率。