An investigation on immigration inflows, GDP productivity and knowledge production in selected OECD countries: A panel model analysis

Munshi Naser Ibne Afzal, Akash Kalra
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引用次数: 0

Abstract

PurposeThe purpose of this study is to investigate the impact of pervasive immigrant inflows on GDP productivity growth in selected OECD countries, including Australia, Canada, Germany, Italy, New Zealand and the USA. The study aims to consider patent filing residence and non-residence as well as R&D expenditure to see if large immigrant destination countries can accept many immigrants to generate knowledge and creativity and stimulate economic development.Design/methodology/approachThe study uses OECD and WDI data sets from 2000 to 2019 and employs a fundamental correlation matrix and static panel model to analyze the data. The study examines the impact of residential and non-residential patent applications and R&D expenditure on GDP productivity growth in the selected OECD countries.FindingsThe study found an adverse effect for residential patent applications, while non-residential patent application and R&D expenditure variables were strongly linked to GDP productivity. This indicates that to reap the benefits of skilled immigration inflows, the selected OECD countries must devote more resources to research and development and build a knowledge-based economy. This will improve economic efficiency and overall growth.Originality/valueThis paper assists policymakers in comprehending how to effectively utilize immigration inflows in developed and emerging economies in order to construct a future knowledge-based economic system.
对部分经合组织国家的移民流入、国内生产总值生产率和知识生产的调查:面板模型分析
本研究的目的是调查移民的普遍流入对部分经合组织国家(包括澳大利亚、加拿大、德国、意大利、新西兰和美国)国内生产总值生产率增长的影响。研究旨在考虑专利申请的居住地和非居住地以及研发支出,以了解移民大国是否能接受众多移民,从而产生知识和创造力,刺激经济发展。设计/方法/途径本研究使用2000年至2019年的经合组织和世界数据公司数据集,并采用基本相关矩阵和静态面板模型对数据进行分析。研究结果研究发现,住宅专利申请会产生不利影响,而非住宅专利申请和研发支出变量则与GDP生产率密切相关。这表明,为了从技术移民流入中获益,选定的经合组织国家必须将更多资源用于研发,建立知识型经济。本文有助于政策制定者理解如何有效利用发达经济体和新兴经济体的移民流入,以构建未来的知识经济体系。
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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CiteScore
3.10
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