Exploring asymmetric influence of R&D expenditures on CO2 emissions in China: evidence from nonlinear ARDL model

R&D spending upsurges technological advancement and innovation which results in lowering energy consumption and environmental degradation. The current study investigates the asymmetrical impact of R&D spending on CO2 emissions in China via employing annual data from 1980 to 2021 and the NARDL model for empirical analysis. The estimated results of the NARDL model confirmed that there are asymmetries in positive and negative coefficients of R&D spending in China. The results depict that the positive shock in R&D spending exerts a negative and statistically significant impact on CO2 emissions in both runs implying that an increase in R&D spending lowers CO2 emissions. However, the negative coefficient of R&D spending yields a positive and statistically significant impact on CO2 emissions revealing the fact that a negative shock in R&D spending results in the upsurge of CO2 emissions in China. According to these findings, the impact of positive and negative shocks in R&D spending on CO2 emissions is asymmetric. The findings also show that the impact of a negative shock in R&D spending is greater than the impact of a positive shock on CO2 emissions. In addition to the negative shock in R&D spending, increases in energy consumption, economic growth, and FDI inflows also contribute to an upsurge in CO2 emissions in China. The robustness of the estimated results is assessed using standard fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models. The FMOLS and DOLS results have been confirmed to be sound and consistent with the results of the NARDL model. The study suggests that the economic strategies should aim at investing in R&D spending to foster environment-friendly technological innovations and to lower environmental degradation in China.

Does green finance and ICT matter for sustainable development: role of government expenditure and renewable energy investment

Green financing and renewable energy growth are commonly influenced by public expenditure on health and R&D; however, data supporting this claim is scarce, especially in the 65 countries that are part of the Belt and Road Initiative (BRI). The study applied Augmented Mean Group (AMG) analysis on panel data from 2005 to 2018 for BRI nations to look at the interplay between R&D and health budgets, GDP growth, FDI, carbon emissions, green finance, and renewable energy deployment. This study uses the two models for green finance and renewable energy development. In the light of the first model, economic growth, public expenditures on health and R&D, and foreign direct investment cause to increase the level of green finance in BRI economies, while the emissions cause to reduce the level of green finance. Similarly, renewable energy development uses another explained variable by this study and found the positive contribution of growth, public expenditures, and FDI inflows to renewable energy development. In contrast, environmental pollution decreases the level of renewable energy development. In order to obtain the desired level of green finance and renewable energy development, policies are suggested by the study.

Assessing the impact of R&D Investments, government subsidies on energy efficiency: empirical analysis from the Chinese listed firms

China's "Made in China (2025)" strategic plan aims to increase the industrial sector's ability to innovate independently. Cleaner production and green technology will also be used to build green industrial systems. To help achieve these goals, the Chinese government has implemented research and development (R&D) preferential policies. Over the years 2010-2020, this article examines how government subsidies and R&D spending will affect China's energy-intensive enterprises' energy efficiency using the CS-ARDL approach. It also evaluates the effectiveness of economic growth, urbanization, and financial resources on energy efficiency. The outcome reveals that R&D expenditures and economic growth contribute to energy efficiency. Likewise, the findings of urbanization, financial resources, and government subsidies are inversely associated with energy efficiency. Moreover, the panel causality test results show the bi-directional association between urbanization and energy efficiency, government subsidies and energy efficiency, and economic growth and energy efficiency. Likewise, the one-way causal association from R&D expenditures to energy efficiency and from financial resources to energy efficiency. The findings suggest the imperative policies to boost the level of energy efficiency.

Does environmentally friendly energy consumption spur economic progress: empirical evidence from the Nordic countries?

Exploring energy use-growth nexus can proffer valuable clues to policymakers and stakeholders on both economic and environmental sustainability targets. Unlike extant studies, this study focuses on the effects of renewable energy consumption on the economic progress of the Nordic countries including Denmark, Sweden, Norway, Finland, and Iceland. The empirical analysis encompasses two distinctive renewable energy consumption indicators while accounting for influential factors like research and development (R&D) expenditures, and both human and physical capital components within the traditional growth model framework. The DCCE estimator was deployed for the empirical analysis covering the available sample data between 1995 and 2020. From the results, the estimated impact of renewable energy consumption on economic progress varies according to its measurement vis-à-vis the utilized indicator 1 (renewable as % of total energy use) and indicator 2 (distinctive renewable power sources and biofuels). In the case of the former indicator, the impacts were insignificant while a positive significant impact on growth was seen across all model evaluations using both the GDP and per capita income levels of the Nordic countries in the latter indicator. Furthermore, both R&D expenditures and human capital component are essential significant long-run drivers of both economic growth and income levels in the bloc while physical capital formation produced contrary evidence on economic progress in the bloc. As such, policy implications and recommendations to enhance economic progress were suggested in the main text for the Nordic countries in view of renewable energy development and the bloc's environmental sustainability drive. Notably, strategic policy implementation should be geared towards encouraging more R&D expenditures, especially in renewable energy developments to facilitate economic growth and income levels while further positioning the Nordic bloc on environmental sustainability path.

Managing crime through quality education: A model of justice

The study examines the role of quality education in access to justice, using a panel data of 21 diversified countries for the period of 1990-2015. The findings show that there is a positive relationship between the presence of scientific and technical journals (STJ) articles and crime rates. The R&D expenditures does not substantially reduce crime rate while per capita income, trademark applications, and technical cooperation grants significantly reduce crime rates across countries. The panel fixed effect (FE) model confirmed the inverted U-shaped relationship between per capita income (GDPpc) and crime rate in the presence of STJ, while this result is changed in the case of GMM estimator. The results of panel causality confirmed the unidirectional causality running from crime rate to STJ and R&D expenditures, while there is bidirectional causality between i) GDPpc and technical cooperation grants, and between ii) energy efficiency and refugee population by country. The variance decomposition analysis (VDA) shows that R&D expenditures have a greater share to influence crime rate, while technical cooperation grants will affect STJ for the next 10 years time. This finding bolsters the conversation on the relationship between education and a reduction in crime rates.