The Effect of R&D on Economic Growth: Evidence from Cross-Country Panel Data

Rudra P. Pradhan
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Abstract

ABSTRACT: Research and Development (R&D) in particular and innovation in general are the best drivers of long-run sustainable economic growth and spending in R&D has been recognized as one of the means to the economic accomplishment of both developed and developing countries. However, the sustainability of the association between R&D & economic growth exclusively depends upon the performance of other macroeconomic determinants. Hence, we examine the effect of R&D on economic growth in the existence of five important macroeconomic determinants. The study focusses on 151 selected countries, including both developed and developing, over the period 1996-2020 and focused on the macro-level analysis. Our research is based on the deployment of system Generalized Method of Moments (GMM) technique. The GMM technique encompasses longitudinal data; and is gathered by pooling time-series across a pool of cross-sectional units, specifically country-wise. The biggest advantage of using the GMM technique is that it allows for addressing the endogeneity problem using lagged explanatory variables as instrumental variables. We have three samples in our analysis, namely pool of developed countries, pool of developing countries, and the pool of both developed and developing countries. Our study deploys four proxies of R&D to work the nexus between R&D and economic growth in presence of five important macroeconomic determinants. In each of these three samples, we run four GMM models, depending upon the deployment of four R&D activities that we used in this study. We observe an evidence that R&D plays a significant role in economic growth when the selected macroeconomic determinants are used as control variables. Our findings are mostly robust to R&D specifications, country specifications, model specifications, and estimation strategies. Most importantly, the effect of lagged economic growth is highly positive, signifying that economies with higher economic growth in the previous years tend to grow faster in presence of R&D intensity. The behaviour of other macroeconomic variables is having diverse nature. Some of these variables behave positively, while others behave negatively. This study suggests that policymakers should focus on improving R&D activities and strengthening the chosen macroeconomic determinants to facilitate economic development. Hence, it contributes to the ongoing policy debate, that is with reference to R&D effect on economic growth, on the finest strategies for attaining sustainable economic growth in all these selected countries. Hence, we can use these findings to develop a targeted policy that promotes R&D intensity in the phases of economic development.
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研发对经济增长的影响:来自跨国面板数据的证据
摘要:研发和创新是经济长期可持续增长的最佳驱动力,研发支出已被公认为发达国家和发展中国家实现经济成就的手段之一。然而,研发与开发之间关系的可持续性经济增长完全取决于其他宏观经济决定因素的表现。因此,我们在五个重要的宏观经济决定因素存在的情况下,检验研发对经济增长的影响。该研究侧重于1996-2020年期间选定的151个国家,包括发达国家和发展中国家,并侧重于宏观层面的分析。我们的研究是基于系统广义矩量法(GMM)技术的部署。GMM技术包括纵向数据;它是通过将时间序列汇集在一个横截面单位池中,特别是在国家层面上。使用GMM技术的最大优点是,它允许使用滞后的解释变量作为工具变量来解决内生性问题。我们在分析中有三个样本,即发达国家的样本,发展中国家的样本,以及发达国家和发展中国家的样本。我们的研究部署了研发的四个代理,在五个重要的宏观经济决定因素的存在下,研究研发与经济增长之间的关系。在这三个示例中的每一个中,我们运行了四个GMM模型,这取决于我们在本研究中使用的四个研发活动的部署。当选定的宏观经济决定因素被用作控制变量时,我们观察到研发在经济增长中起着显著作用的证据。我们的发现对于研发规范、国家规范、模型规范和评估策略来说大多是健壮的。最重要的是,滞后经济增长的影响是高度正的,这表明前几年经济增长率较高的经济体在研发强度存在的情况下往往增长更快。其他宏观经济变量的行为具有多样性。这些变量中有一些是积极的,而另一些是消极的。本研究建议决策者应将重点放在改善研发活动和加强选定的宏观经济决定因素上,以促进经济发展。因此,它有助于正在进行的政策辩论,即关于研发对经济增长的影响,关于在所有这些选定的国家实现可持续经济增长的最佳战略。因此,我们可以利用这些发现来制定有针对性的政策,以促进经济发展阶段的研发强度。
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