RESUMO
Technological innovation is a critical element of economic and environmental sustainability; thus, the promotion of technological innovation in the economy has gained an apex among policy makers. The study's impetus is to measure the effect of investments in information and communication technology (ICT), education, and political stability on technical innovation in BRI countries for 2004-2020. In the process of documenting the empirical nexus through the implementation of novel panel techniques commonly known as Dynamic Seemingly Unrelated Regressions (SUR), continuously updated fully modified" (Cup-FM) and continuously updated bias-corrected (Cup-BC). The results of the slope of heterogeneity, cross-sectional dependency test, and panel cointegration test have revealed the presence of heterogeneity, all the research variables possessed certain common dynamics, and, most importantly presence of long-run association. The study documented the coefficients of ICT, education and Political stability are positive and statistically significant, indicating a contributory effect in fostering technological innovation in BRI nations. The findings emphasize the importance of upholding political stability, directing resources toward education, and fostering an environment that encourages innovation through the integration of information and communication technology (ICT). The study also highlights how critical it is to bring in FDI and use it to your advantage in order to boost tech development and the economy.
RESUMO
His research investigates the interplay among investment in Information and Communication Technology [ICT], digital financial inclusion, environmental tax policies, and their impact on the progression of sustainable energy development within the Middle East and North Africa [MENA] region. Recognizing the distinctive hurdles impeding sustainable energy advancement, effective policy formulation and implementation in MENA necessitate a comprehensive understanding of these variables. Employing a Dynamic Common Correlated Effects [DCE] model alongside an instrumental variable-adjusted DCE approach, this study explores the relationship between ICT investment, digital financial inclusion, environmental tax, and sustainable energy development. The DCE model facilitates the analysis of dynamic effects and potential correlations, while the instrumental variable-adjusted DCE model addresses issues pertaining to endogeneity. The results indicate that both ICT investment and the promotion of digital financial inclusion significantly and positively impact sustainable energy development in the MENA region. Additionally, the study underscores the importance of environmental tax implementation in fostering sustainable energy advancement, highlighting the critical role of environmental policy interventions. Based on these findings, governmental prioritization of ICT investment and initiatives for digital financial service integration is recommended to bolster sustainable energy growth in MENA. Furthermore, the adoption of efficient environmental tax measures is essential to incentivize sustainable energy practices and mitigate environmental degradation. These policy recommendations aim to create a conducive environment for sustainable energy progression in the MENA region, contributing to both economic prosperity and environmental conservation.
Assuntos
Investimentos em Saúde , Impostos , Oriente Médio , África do Norte , Desenvolvimento Sustentável/economia , Humanos , Conservação dos Recursos Naturais/economia , Conservação dos Recursos Naturais/métodos , Política Ambiental/economiaRESUMO
This study examines the interrelationship among public-private investment, urbanization, globalization, and renewable energy consumption in the BIMSTEC nations for 1995-2021. The study implemented linear and nonlinear frameworks to document the magnitudes of explanatory variables on REC. Referring to the study findings with CSD, CIPS, CADF, and PCT disclosed the presence of cross-sectional dependency; variables are integrated after the first difference, i.e., I (1), and long-run association. According to symmetric and asymmetric coefficients, Public-private partnerships and globalization have emerged as significant catalysts for developing renewable energy sources. At the same time, urbanization is exposed to an adverse tie with REC, especially in the long-run. Based on the abovementioned findings, the study presents crucial policy recommendations to facilitate the expeditious transition to renewable energy within the BIMSTEC nations. Policymakers should prioritize the cultivation of robust public-private partnerships, the provision of incentives for investments in renewable energy, and the formulation of comprehensive regulatory frameworks.
RESUMO
Environmental protection holds a paramount position in the pursuit of sustainable development. The existing body of literature has extensively examined various driving forces for environmental enhancement, including renewable energy sources, innovation, and governmental interventions. This study aims to assess the impact of green investment, energy efficiency, and urbanization on achieving environmental sustainability in the MENA region during the period 2004-2019. A comprehensive set of econometric tools has been employed to achieve this goal, including the CADF and CIPS panel unit root tests, error correction-based panel cointegration analysis, Cross-sectional ARDL, and asymmetric ARDL models. The key findings of this research are as follows: Cross-sectional dependency and homogeneity tests demonstrated that the research units shared common dynamics and heterogeneity properties. The stationarity tests based on CIPS and CADF indicated that all variables became stationary after the first differencing. The panel cointegration analysis established a long-term relationship between green investment (GI), energy efficiency (EE), urbanization (UR), and environmental sustainability (ES) in MENA nations. Empirical model estimations using Cross-sectional ARDL revealed significant contributions of GI, EE, and UR to ES in the long and short run. The asymmetry assessment uncovered a nonlinear relationship between the explanatory and dependent variables, both in the long and short run. Specifically, the asymmetric coefficients of GI, EE, and UR displayed negative statistical significance at the 1% level, highlighting their significant roles in promoting environmental sustainability. In light of these findings, this study provides valuable insights for policymakers to formulate strategies to further environmental sustainability in the MENA region.