2022
DOI: 10.2139/ssrn.4100793
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Budgeting for Sdgs: Quantitative Methods to Assess the Potential Impacts of Public Expenditure

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Cited by 2 publications
(2 citation statements)
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“…Similarly, also employed simulations and descriptive analysis and concluded that SDGs are not viable given Mexico's prevailing subnational budgetary spending. In contrast, a mixed result was reported by Guariso et al (2022) in the public spending-SD relationship for Mexico. With machine learning, agent computing, and regression analysis, the study demonstrated that no link existed between both variables in the regression and machine learning results.…”
Section: Government Outlay and Sd Nexusmentioning
confidence: 93%
“…Similarly, also employed simulations and descriptive analysis and concluded that SDGs are not viable given Mexico's prevailing subnational budgetary spending. In contrast, a mixed result was reported by Guariso et al (2022) in the public spending-SD relationship for Mexico. With machine learning, agent computing, and regression analysis, the study demonstrated that no link existed between both variables in the regression and machine learning results.…”
Section: Government Outlay and Sd Nexusmentioning
confidence: 93%
“…Similarly, also employed simulations and descriptive analysis and concluded that SDGs are not viable given Mexico's prevailing subnational budgetary spending. In contrast, a mixed result was reported by Guariso et al (2022) in the public spending-sustainable development relationship for Mexico. With machine learning, agent computing, and regression analysis, the study demonstrated that no link existed between both variables in the regression and machine learning results.…”
Section: Government Outlay and Sustainable Development Nexusmentioning
confidence: 94%