Evaluating the efficiency of fiscal responses to COVID-19 pandemic in the OECD countries: a two-stage data envelopment analysis approach

IF 0.4 Q4 ECONOMICS

International Journal of Computational Economics and Econometrics Pub Date : 2022-01-01 DOI:10.1504/ijcee.2022.10048769

M. Badawy, Israa A. El Husseiny

引用次数: 0

Abstract

This study examines the relative technical efficiency (TE) of the fiscal stimulus packages introduced by the governments of 38 OECD countries in response to COVID-19 pandemic, using a two-stage data envelopment analysis (DEA) approach. The DEA results indicate that OECD countries are inefficient as they have the potential to save around 54.8% of their fiscal packages while maintaining the same performance in terms of economic growth and unemployment. Costa Rica, Greece, Ireland, Italy, Mexico, and Turkey are found to be fully efficient whereas Canada, Germany, Japan, the USA, and the UK are found to be the least efficient. The Tobit findings indicate that belonging to the EU, public expenditure on education, and population density, are positively correlated to the TE scores. In contrary, general government final consumption expenditure, size of fiscal stimulus packages, and COVID-19 infections rate tend to affect efficiency negatively.

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评估经合组织国家财政应对COVID-19大流行的效率:两阶段数据包络分析方法

本研究采用两阶段数据包络分析(DEA)方法，考察了38个经合组织国家政府为应对COVID-19大流行而推出的财政刺激方案的相对技术效率(TE)。DEA结果表明，经合组织国家效率低下，因为它们有可能在保持经济增长和失业率相同的情况下节省约54.8%的财政计划。哥斯达黎加、希腊、爱尔兰、意大利、墨西哥和土耳其被认为是完全有效的，而加拿大、德国、日本、美国和英国被认为是效率最低的。Tobit的研究结果表明，在欧盟，公共教育支出和人口密度与TE分数呈正相关。相反，政府一般最终消费支出、财政刺激计划规模和COVID-19感染率往往对效率产生负向影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computational Economics and Econometrics ECONOMICS-

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： IJCEE explores the intersection of economics, econometrics and computation. It investigates the application of recent computational techniques to all branches of economic modelling, both theoretical and empirical. IJCEE aims at an international and multidisciplinary standing, promoting rigorous quantitative examination of relevant economic issues and policy analyses. The journal''s research areas include computational economic modelling, computational econometrics and statistics and simulation methods. It is an internationally competitive, peer-reviewed journal dedicated to stimulating discussion at the forefront of economic and econometric research. Topics covered include: -Computational Economics: Computational techniques applied to economic problems and policies, Agent-based modelling, Control and game theory, General equilibrium models, Optimisation methods, Economic dynamics, Software development and implementation, -Econometrics: Applied micro and macro econometrics, Monte Carlo simulation, Robustness and sensitivity analysis, Bayesian econometrics, Time series analysis and forecasting techniques, Operational research methods with applications to economics, Software development and implementation.