Bernal-Turnes Paloma, Ernst Ricardo
Business Economics Dept., Rey Juan Carlos University, Paseo de los Artilleros s/n, 28032 Madrid, Spain.
Global Logistics Research Program, McDonough School of Business, Georgetown University, 37th and O St. NW, Washington, DC 20057 USA.
J Knowl Econ. 2023 Mar 14:1-24. doi: 10.1007/s13132-023-01199-8.
This paper discusses the application of robust experimental research methodologies that help to provide a better understanding of the mechanisms of the Theory of Change, for which training programs and/or matching grants improve job creation in micro, small, and medium-sized enterprises (MSMEs and SMEs). The literature on both interventions, such as training and matching grants, recognizes methodological flaws that hamper achieving enough statistical evidence to test the aforementioned Theory of Change. A better understanding of the interventions and the mechanisms to create jobs has become critical to ensure the resurgence of the global economy after the COVID-19 pandemic and to face the threat of the upcoming industrial revolution. This paper proposes seven methodological meliorations in impact evaluation that will help to set improvements alongside the full process of a project: designing superior policies and programs, implementing projects, supporting the finer assessment of interventions, and establishing the subsequent advancement of science in testing solutions for job creation.
本文讨论了稳健实验研究方法的应用，这些方法有助于更好地理解变革理论的机制，即培训计划和/或配套赠款可促进微型、小型和中型企业（MSMEs和SMEs）创造就业机会。关于培训和配套赠款等这两种干预措施的文献都认识到方法上的缺陷，这些缺陷妨碍获得足够的统计证据来检验上述变革理论。更好地理解这些干预措施和创造就业的机制，对于确保全球经济在新冠疫情后复苏以及应对即将到来的工业革命的威胁至关重要。本文提出了影响评估中的七个方法改进措施，这将有助于在项目的全过程中进行改进：设计更优的政策和计划、实施项目、支持对干预措施进行更精细的评估，以及在测试创造就业解决方案方面推动科学的后续发展。
