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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 countrywise. 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. [ABSTRACT FROM AUTHOR]

The objective of this study is to investigate the nexus between financial development (FD) in economic growth (GROWTH) in developing countries. The study uses panel data from 138 developing countries during the period 1980-2018. The relationship between financial development and economic growth is investigated using four explanatory variables that are commonly used to measure the level of financial development and several other control variables, including a dummy variable representing the financial and banking crises. The sample of 138 developing countries is also classified into six geographic regions. We have carried out panel unit-root tests and panel cointegration tests before estimating the specified models using both Panel Least Squares (Panel LS) and Panel Fully Modified Least Squares (FMOLS) methods. In addition, panel Granger causality tests have been conducted to identify the direction of causality between FD and GROWTH for each of the regions. The results of the study provide evidence of a direct relationship between FD and GROWTH in developing countries. Furthermore, there is evidence of bi-directional causality running from FD to GROWTH and from GROWTH to FD in samples of Europe and Central Asia, South Asia, and all countries, but not in East Asia and Pacific, Latin America and the Caribbean, Middle East and North Africa, and Sub-Saharan Africa. [ABSTRACT FROM AUTHOR]