Determinants that attract and discourage foreign direct investment in GCC countries: Do macroeconomic and environmental factors matter?

In general, foreign direct investments (FDIs) play a crucial role in driving a country's economic development, promoting diversification, and enhancing competitiveness. The Gulf Cooperation Council (GCC) countries, which heavily rely on the oil and gas sectors, are particularly vulnerable to fluctuations in commodity prices. However, these countries have recognized the imperative of economic diversification and have increasingly turned to inward FDIs to achieve it. By attracting capital, advanced technology, and expertise from foreign investors, FDIs enable the GCC countries to expand their economic base beyond the oil and gas sectors. This diversification not only creates employment opportunities but also fosters resilient economic growth, ultimately leading to an improvement in the living standards of the local population. This study investigates the macroeconomic and environmental factors that potentially attract foreign direct investment (FDI) inflows into the Gulf Cooperation Council (GCC) countries in the long run. Additionally, the study explores the causal relationship between these factors and FDI inflows. The panel autoregressive distributed lag (ARDL) approach to co-integration is the primary analytical technique used, utilizing long time-series data from six GCC countries, including Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates (UAE) during the period 1990-2019. The empirical results indicate that, in the long run, almost all independent variables significantly influence FDI in GCC countries. Variables such as GDP growth (GDPG), inflation (INFL), carbon dioxide emissions (CO2), and urbanization (URB) are found to be highly significant (p≤0.01) in their impact on FDI. Moreover, unemployment (UNEMP) also positively and significantly influences FDI in these countries in the long run. Based on the key findings, strategies aimed at reducing persistently high unemployment rates, maintaining population growth, viewing FDI as a driver for GDP growth, and continuing with infrastructure development and urbanization are expected to attract more FDI inflows into GCC countries in the long run. Additionally, fostering both long-term economic incentives and creating a conducive business infrastructure for investors are vital for attracting inward FDI into any nation, including those in the GCC. This research would benefit various stakeholders, including governments, local businesses, investors, academia, and the local society, by providing valuable knowledge and informing decision-making processes related to economic development, diversification, and investment promotion.

Determinants of neonatal, infant and under-five mortalities: evidence from a developing country, Bangladesh.

We investigated the macroeconomic determinants of neonatal, infant, and under-five mortalities in Bangladesh for the period 1991-2018 and discuss implications of the United Nations' Sustainable Development Goal 3 (SDG 3) and Millennium Development Goal 4 (MDG 4) for developing countries. We used annual time series data and the econometric techniques of Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) regressions for analysis. Determinants most effective in combating neonatal, infant, and under-five mortalities include variables such as 'protecting newborns against tetanus', 'increasing healthcare expenditure', and 'making sure births are attended by skilled healthcare staff'. Employing more healthcare workers and assuring more and improved healthcare provisions can further reduce the neonatal, infant, and under-five mortalities. Developing countries with similar macroeconomic profiles can achieve similar SDG 3 and MDG 4 outcomes by emulating the policies and strategies Bangladesh applied to reducing child mortalities over the last three decades.

The effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia: An ARDL investigation.

OBJECTIVE: While macroeconomic and environmental events affect the overall economic performance of nations, there has not been much research on the effects of important macroeconomic and environmental variables and how these can influence progress. Saudi Arabia's economy relies heavily on its vast reserves of petroleum, natural gas, iron ore, gold, and copper, but its economic growth trajectory has been uneven since the 1990s. This study examines the effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia. METHODS: Annual time series dataset covering the period 1990-2019 has been extracted from the World Bank and General Authority of Meteorology and Environmental Protection, Saudi Arabia. The Autoregressive Distributed Lag (ARDL) approach to cointegration has served to investigate the long-run relationships among the variables. Several time-series diagnostic tests have been conducted on the long-term ARDL model to check its robustness. RESULTS: Saudi Arabia can still achieve higher economic growth without effectively addressing its unemployment problem as both the variables are found to be highly significantly but positively cointegrated in the long-run ARDL model. While the variable of carbon emissions demonstrated a negative effect on the nation's economic growth, the variables of rainfall and temperate were to some extent cointegrated into the nation's economic growth in negative and positive ways, respectively. Like most other nations the short-run effects of inflation and population on economic growth do vary, but their long-term effects on the same are found to be positive. CONCLUSIONS: Saudi Arabia can achieve both higher economic growth and lower carbon emissions simultaneously even without effectively addressing the unemployment problem. The nation should utilize modern scientific technologies to annual rainfall losses and to reduce annual temperature in some parts of the country in order to achieve higher economic growth.

A switch in bidirectional histone mark leads to differential modulation of lincRNAs involved in neuronal and hematopoietic cell differentiation from their progenitors.

Long intergenic noncoding RNAs (lincRNAs) are more than 200 bases long, transcribed from intergenic genomic regions and do not undergo translation. They have regulatory roles in differentiation and development. However, how their transcription is activated and how their expression is differentially modulated in differentiation is quite unclear. In this study, we explored and analyzed data at the transcriptomic and epigenetic level to address these questions. Here, we identified novel lincRNAs that are differentially expressed in neuronal and hematopoietic differentiation and showed that such differential modulations are achieved under epigenetic regulations. lincRNAs that are upregulated in mature cells than in progenitor are activated from a bivalent poised state where activating H3K4me3/H3K9ac/H3K27ac and suppressive H3K9me3/H3K27me3 marks are colocalized. And, lincRNAs that are downregulated in mature cells after differentiation are suppressed by the addition of H3K9me3/H3K27me3 marks. Moreover, here we show a tissue-specific expression pattern of lincRNAs in various cell lines and normal tissues. The study reveals bidirectional histone marks as an epigenetic means of directing the differential expression of lincRNAs which are found to be involved in the process of cellular differentiation.

In silico analysis revealed Zika virus miRNAs associated with viral pathogenesis through alteration of host genes involved in immune response and neurological functions.

BACKGROUND: The concurrent Zika Virus (ZIKV) outbreaks in the United States and Northeast Brazil have evoked global surveillance. Zika infection has been correlated with severe clinical symptoms, such as microcephaly, Guillain-Barré syndrome, and other congenital brain abnormalities. Recent data suggest that ZIKV predominantly targets neural progenitor cells leading to neurological impairment. Despite the clinical evidence, detailed experimental mechanism of ZIKV neurotropic pathogenesis has not been fully understood yet. Here we hypothesized that ZIKV produces miRNAs, which target essential host genes involved in various cellular pathways facilitating their survival through immune evasion and progression of disease during brain development. METHODS: From genome sequence information using several bioinformatic tools, we predicted pri-miRNAs, pre-miRNAs, and finally the mature miRNAs produced by ZIKV. We also identified their target genes and performed functional enrichment analysis to identify the biological processes associated with these genes. Finally, we analyzed a publicly available RNA-seq data set to determine the altered expression level of the targeted genes. RESULTS: From ZIKV genome sequence, we identified and validated 47 putative novel miRNAs. Functional enrichment of the targeted genes demonstrates the involvement of various biological pathways regulating cellular signaling, neurological functions, cancer, and fetal development. The expression analysis of these genes showed that ZIKV-produced miRNAs downregulate the key genes involved in these pathways, which in turn may lead to impaired brain development. CONCLUSIONS: Our finding proposes novel ZIKV miRNAs and their targets, which upon experimental validation could help developing new therapeutics to combat ZIKV infection and minimize ZIKV-mediated pathologies.

Waste management and recycling practices of the urban poor: a case study in Kuala lumpur city, Malaysia.

This study assesses waste management and recycling practices of the urban poor households residing as squatters and in low-cost flats of Kuala Lumpur city, Malaysia. To attain the objective, the study employed some statistical techniques such as t-tests of equality of means, one-way analysis of variance, chi-squared 'likelihood ratio' tests, and simple descriptive statistics. The statistical techniques were used to determine and analyse the factors that significantly influence the environmental behaviour of the urban poor concerning solid waste management, particularly their recycling practices. The findings of the study show that the urban poor and low-income communities have been proved to behave in ways that are consistent with and conducive to environmentally friendly solid waste management. This study provides evidence that the urban poor and low-income communities are the main recyclers, re-users, and source-reducers of their household solid waste. The study, however, suggests that policies should be formulated to focus on promoting knowledge, education, and the skills of the urban poor and, in addition, to empower them as a means of improving their quality of life.