Fostering innovation is considered one of the key policy priorities in most governments’ agendas in developing countries. Foreign direct investment (FDI) is a principal resource for financing sustainable development, corresponding to 17 sustainable development goals (SDGs). This study analyzes how inward FDI affects innovation in Sri Lanka using secondary data from 1990 to 2019. We used the Autoregressive Distributed Lag (ARDL) cointegration procedure to examine the long-run relationships between variables. As per the study results, the coefficient of inward FDI is a negative sign while the coefficients of education expenditure (EDU) and research and development expenditure (RDE) show positive signs of 0.26 and 5.7, respectively, and are statistically significant in the long run. It is demonstrated that research and development expenditure is vital in explaining technological innovation, and inward FDI inflows do not contribute to widening technological innovation in Sri Lanka. More FDI inflows will not bring higher innovation. Shaping the future of FDI in Sri Lanka is essential to foster innovation capability.
Many environmental problems are human induced, one of which is the change in atmospheric composition, a hot research topic in recent decades. This study aims to investigate the impact of human capital (HC) on carbon dioxide (CO2) emissions in Sri Lanka using time series annual data from 1978 to 2019. The time series data were examined for a unit root problem and an unknown structural break. An autoregressive distributed lag (ARDL) approach was employed to identify the long-run relationship between HC and CO2. The results confirm the long-term relationship between carbon emissions and human capital. As a unique finding of this research, the estimated coefficient of human capital to carbon emission is negative and statically significant, suggesting that a 1 percent increase in HC decreases carbon emissions by 1.627789 percent. The significance of this finding is that it can help achieve Sustainable Development Goal “13”, which focuses on combating climate change and its effects. The study indicated that building in HC by investing more in education helps to reduce carbon emissions in the long term. It reflects that human capital accumulation is linked to reduced environmental degradation due to lower CO2 emissions.
Nowadays, the non-farm sector gives more attention and high expectations in reducing poverty in sub-Saharan African. Because participation of farm households in the none-farm sector out of their farm activities will play a great role to reduce poverty. Cross-sectional data were used to collect data in 2020 from farm household heads of 371 respondents with the mixed methodology to investigate the effect of demographic factors in none/off-farm economic activities on gender perspective in Ethiopia. In this study, we employ a Logistic regression model to explore the probabilities of household heads' participation in none/off-farm economic activities out of their farm. The result indicated, age and education level have a positive effect and statistically significant effect on increasing non-farm activities with the coefficients of 3.406, 1.956 respectively, confirmed that these variables should take into account in policy development to increase their impact on livelihood diversification. And Gender has a negatively significant on livelihood diversification. FHH is more participants in non-farm economic activities than MHH. Credit access does not contribute to increasing livelihood diversification instead; it contributes to agricultural specialization, not diversification. Surprisingly, family size has insignificant results in non-farm economic activities The outcome indicated it has its implications for the Ethiopian policy and strategy. The government should give more attention to the progressive aspects of non-farm economic activities to eradicate poverty. Whereas, decreasing its negative impact on poorer households by controlling obstacles of non-farm activities.
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