Foreign direct investment inflow, economic growth, energy consumption, globalization, and carbon dioxide emission around the world

The effect of renewable energy on carbon emissions through globalization

The sustainability of the environment debate cannot be addressed without considering the type of energy to use. The pace at which the world is industrializing, globalizing, and developing economically has prompted many researchers to investigate the kind of energy required to preserve the environment. In this regard, this study employs the mediation model to assess renewable energy's direct and indirect effects on carbon emissions through globalization. The data for the study is from 1990 to 2020. The study's findings showed that while renewable energy has no appreciable impact on trade openness, it directly and negatively affects carbon emissions. However, foreign direct investment has a direct and significant positive effect on carbon emissions, while trade openness has no significant effect. The indirect result revealed that renewable energy through foreign direct investment has a negative effect on carbon emissions; however, renewable energy through trade openness has a positive effect on carbon emissions. Policymakers are encouraged to restrict the trade sector to reduce the trading of high-emission technologies.

Effect of economic growth, energy use, trade openness and foreign direct investments on carbon dioxide emissions. Evidence from G8 countries

The problem of climate change, which causes various negativities in the global sense, is one of the important research topics. It is necessary to determine the factors affecting carbon dioxide (CO2) emissions, which are the main determinants of climate change, and to take measures for this. In this study, based on the hypothesis that economic growth, energy usage, trade openness, and foreign direct investment affect CO2 emissions, it was aimed to examine the effects of economic growth, energy usage, trade openness, and foreign direct investment on CO2 emissions for G8 countries using annual data for the period 1990-2018. For this purpose, first, a literature review was done in the study. Then, cross-section dependency and heterogeneity tests were performed as empirical analyses. Afterward, unit root tests, cointegration analyses, and causality analyses were performed in the study. Finally, in the study, short-term parameters and long-term parameters were estimated to capture possible dynamic relationships between variables. The Westerlund Error Correction Model (ECM) panel test for cointegration showed that there is a cointegration relationship between these variables for both the entire panel and the cross-section units. The results of the Augmented Mean Group (AMG) estimator method showed that (i) economic growth has no effect on CO2 emissions in 7 of 8 countries, (ii) energy usage increases CO2 emissions in 4 of the countries studied but decreases it in one of them, and (iii) foreign direct investments and trade openness do not affect CO2 emissions in 4 countries but positively affects in 2 countries and negatively in 2 countries. According to the results obtained from the Pooled Mean Group (PMG) analysis, while economic growth, energy usage, and trade openness affect CO2 emissions in the long run, economic growth, energy use, and trade openness affect CO2 emissions in the short run too. According to Dumitrescu-Hurlin panel causality results, it was seen that there is no causal relationship between CO2 emissions, economic growth, and energy use. While there is a unidirectional causality from CO2 emissions to foreign direct investments, it was determined that there is a bidirectional causality between trade openness and CO2 emissions. When the results were examined in general, it was understood that the variables of economic growth, trade openness, foreign direct investment, and energy usage are effective on CO2 emissions in the G8 countries. It would be beneficial for countries to include the objectives of making production with clean production technologies, ensuring efficient use of energy, and expanding the use of renewable energies among their main targets.

Economic growth, energy consumption and CO2 emissions-An empirical study based on the Yangtze River economic belt of China

The Yangtze River Economic Belt plays a crucial role in the economic development of China from the perspective of economic growth, as well as from the perspective of the goal of the emission peak and carbon neutrality. In this study, the dynamic and causal relationships among economic growth, energy consumption and CO2 emissions of the provinces and municipalities along the Yangtze River Economic Belt were analyzed using the panel vector autoregression (PVAR) model. The results revealed that the economic growth and the changes in CO2 emissions in the current period are significantly influenced by the economic growth and CO2 emissions in the preceding period, while the energy consumptionin the current period is influenced by the economic growth, energy consumption and CO2 emissions in the preceding period. The results of the Granger causality test based on panel data suggested that among the three sets of causalities involving economic growth, energy consumption and CO2 emissions, only economic growth and CO2 emissions have one-way causality, while the other two sets of causalities are two-way. Further, the results of the impulse response function and variance decomposition showed significantly positive effects and a certain degree of path dependence among economic growth, energy consumption and CO2 emissions.

Role of environmentally related technologies and revenue taxes in environmental degradation in OECD countries

The purpose of this study is to validate the impact of foreign direct investment inflows (FDI inflows), trade openness (TO), environmentally related technologies (ERTs), environmentally related tax revenues (ERTRs), and economic growth (EG) on carbon dioxide (CO₂) emissions by employing a PMG (pooled mean group) estimator with a dataset of 36 OECD countries spanning from 1990 to 2020. Im-Pesaran-Shin, Fisher-type, and cross-sectional augmented Dicky-Fuller tests indicate that study variables are stationary at I (0) and I (I). Kao and Pedroni cointegration test results show that cointegration exists across regressors and regressands throughout the sample of OECD countries. The results of the Hausman test confirm that the PMG panel ARDL method can be employed. Empirical results of PMG demonstrate that ERTRs help to reduce CO₂ emissions, while FDI inflows, TO, ERTs, and EG are significant and positively related to environmental degradation. This study is an effort to fill the gap by exploring the role of ERTs and ERTRs in environmental degradation in selected OECD countries. The study findings support the relationship between CO₂ emissions, ERTs, and ERTRs. It has been determined that environmental technologies and revenue taxes are also drivers of environmental sustainability. The study provides policymakers with pertinent implications for promoting the development and adoption of green technologies. The findings suggest that imposing environmental taxes expedites the development of environmentally related technologies for reducing CO₂ emissions and promoting sustainable development in OECD countries, with potential applications in a wide range of countries, particularly as a basis for emerging countries to boost their energy transition timelines.

Parents' digital skills and their development in the context of the Corona pandemic

We investigate parents' and guardians' digital skills and the extent of their development in the context of the spread of the Corona epidemic. In addition, we sought to explore the differences in digital skills between parents and their employment status, age, and responsibility in teaching children. We sought to rely on the descriptive-analytical approach and prepared a scale of eight theoretical dimensions with the participation of 250 students' Saudi parents. The application of the study was by online submission form (via Edit Submission). Our findings showed that there was a discrepancy in the performance of the sample, which was very high in the dimensions of operational skills, instrumental skills, and cognitive constructivism skills. There were also differences between the effect of computers on the instrumental skills and cognitive constructivism skills of the parents. Parents' dependence on alternative digital sources in exploring for information, formulating knowledge, manipulating it, and criticizing. The learner can reach the cognitive level in a more flexible manner, which allows him to gain learning objectives. The knowledge navigation can be developed because of different online outdoor exercises and software familiar. This requires self-organization to search for appropriate knowledge to use in the renewal of the cognitive structure.

Information transmission in regional energy stock markets

Since markets are undergoing severe turbulent economic periods, this study investigates the information transmission of energy stock markets of five regions including North America, South America, Europe, Asia, and Pacific where we differentiated the regional energy markets based on their developing and developed state of economy. We employed time-frequency domain from Jan 1995 to May 2021 and found that energy stocks of developed regions are highly connected. The energy markets of North America, South America, and Europe are the net transmitters of spillovers, whereas the Asian and Pacific energy markets are the net receivers of spillovers. The results also reveal that the connectedness of regional energy markets is time and frequency dependent. Regional energy stocks were highly connected following the Asian financial crisis (AFC), global financial crisis (GFC), European debt crisis (EDC), shale oil revolution (SOR), and COVID-19 pandemic. Time-dependent results reveal that high spillovers formed during stress periods and frequency domain show the higher connectedness of regional energy stock markets in the short run followed by an extreme economic condition. These results have significant implications for policymakers, regulators, investors, and regional controlling bodies to adopt effective strategies during short run to avoid economic downturns and information distortions.

Does foreign direct investment asymmetrically influence carbon emissions in sub-Saharan Africa? Evidence from nonlinear panel ARDL approach

In recent decades, the relationship between foreign direct investment (FDI) and carbon emissions has garnered the extensive attention by researchers and governments across the globe. Also, for most part, empirical studies on this nexus have assumed a symmetric relationship through the imposition of linear specifications. However, such relationships do not account for asymmetries in the impact of FDI on carbon emissions. In the case of sub-Saharan Africa, such relationships are crucial and need more careful analysis given the important role FDI plays in the development of the sub-region. Thus, this paper examines the asymmetric effect of FDI on carbon emissions in 41 selected sub-Saharan African countries spanning from 1996 to 2018. In order to decompose FDI into positive and negative partial sum and examine possible asymmetric effects of the variables on carbon emissions, we used the panel nonlinear autoregressive distributed lag (NARDL) approach. This method accounts for cross-sectional variances. Our results show that in the long run, a positive shock in FDI increases carbon emissions while a negative shock lowers them. Our results also show that carbon emissions respond asymmetrically to changes in FDI. It is recommended that comprehensive investment policies aimed at encouraging clean technology and environmentally friendly investments be implemented to ensure environmental sustainability.

The role of environmental regulatory quality in the relationship between natural resources and environmental sustainability in sub-Saharan Africa

Natural resources benefit economies through economic growth and development. However, continuing unsustainable exploitation of these resources tend to harm the sustainability of the environment. Therefore, this paper explores the role of environmental regulatory quality (ERQ) in the relationship between natural resources (NR) and environmental sustainability (ES). The study covered 28 sub-Saharan African countries (SSA) from 2005-2017. Regarding the estimations, we utilized cross-sectional dependence, first-and second-generation unit root, and cointegration tests for preliminary checks. Finally, we used the system-GMM estimation for the analysis. We found that environmental regulatory quality improves environmental sustainability in SSA. We also observed that natural resources degrade environmental sustainability. Furthermore, we noticed that natural resources complemented environmental regulatory quality to reduce environmental sustainability in SSA. Therefore, we establish that ERQ in SSA does not complement NR to induce environmental sustainability. Based on the findings, we appeal for effective and rigorous implementation of environmental policies and regulations in SSA.

Asymmetric effect of renewable energy consumption and economic growth on environmental degradation in sub-Saharan Africa

Purpose

While there are enormous studies on the determinants of environmental degradation, empirical studies on the effect of renewable energy consumption and economic growth on the environment remain limited. The purpose of this paper is to examine the asymmetric effect of renewable energy consumption and economic growth on environmental degradation in 31 selected sub-Saharan African countries spanning from 1990 to 2018.

Design/methodology/approach

To examine possible asymmetric effects of the exogenous variables on environmental degradation, we used the panel nonlinear autoregressive distributed lag approach and secondary data was sourced from the World Bank (2021).

Findings

The cointegration test results suggest that there is a long-run cointegration among the variables whereas our main findings indicate that environmental degradation responds asymmetrically to changes in renewable energy consumption and economic growth. The results further reveal that both positive and negative shocks in renewable energy consumption reduce environmental degradation. On the other hand, positive and negative shocks in economic growth increase environmental degradation in the long run.

Research limitations/implications

The implications of this study include the need for policymakers in sub-Saharan Africa to encourage the utilization of renewable energy as it reduces environmental degradation. Also, governments in the subregion should gradually replace the usage of fossil fuels by adapting renewable energy sources so as to achieve higher economic growth.

Originality/value

The positive and negative shocks of renewable energy consumption and economic growth on environmental degradation are examined to ascertain their asymmetric relationships.

A tested method for assessing and predicting weather-crime associations

Few studies have focused on haze as a weather element and its correlation with crime. In this study, we examined haze as a weather variable to investigate its effects on criminal activity. We used both monthly crime data and weather records to build a regression model that contains a sequential statistical approach to reach the correlation coefficients between the variables. Also, we developed a prediction model to predict crime cases considering three weather factors: temperature, humidity, and haze. We applied this model in two different climate provinces in Saudi Arabia, namely, Riyadh and Makkah. Riyadh is a desert area and observes haze approximately 17 days per month on average, while Makkah is a coastal area observing haze an average of 4 days per month. We found a measurable relationship between each of these three variables and criminal activity. We found that a one-degree increase in temperature was associated with an increase in assault of 0.739, when humidity and haze were held constant. For other independent variables measured against the same crime in Riyadh, a one-degree increase in humidity was associated with a 0.164 increase in assault. An increase in the number of times that a haze phenomenon is observed was associated with an increase of 0.359 in assault cases. Haze had the most effect on theft, drug, and assault crimes in Riyadh compared to the other elements. Temperature and humidity have a significant relationship with crime in Makkah, while haze had no significant influence in that region.

Impact of financial inclusion and human capital on environmental quality: evidence from emerging economies

Emerging nations have recorded significant economic development over the last few decades, which has increased natural resources extraction and consumption. On account of rising development, the financial sectors of these nations are continuously expanding their services and products. These countries are also experiencing increasing environmental deterioration which requires raising the level of environmental awareness and seeking different mitigation options. Against this backdrop, this research studies the role of financial inclusion and human capital in the environmental quality of emerging nations. To do so, the panel data from 2004 to 2019 is collected and second-generation econometric methodologies are utilized to analyze the data. Controlling remittances, economic growth, and natural resources, the study revealed cointegration among variables. The results of the panel quantile regression indicated that financial inclusion improves the environmental quality of emerging countries as it is negatively connected with CO₂. However, human capital in these nations adds to environmental deterioration. Likewise, natural resources and economic growth raise CO₂, and therefore, reduce environmental quality. Apart from this, remittances are playing a critical role in reducing CO₂. After this, the research utilized the Cup-FM and Cup-BC methods and noticed a similar association among variables. Lastly, policy implications of these findings are discussed.

The cyclical impact of green and sustainable technology research on carbon dioxide emissions in BRICS economies

This paper explored the asymmetrical relationships between green and sustainable technology research and environmental sustainability among the BRICS states from 1990 to 2018. The data was analyzed by second- and third-generation economic techniques such as slope heterogeneity and cross-section independence test, unit root test, structural break unit root test, panel cointegration with structural breaks cointegration tests, cross-section autoregressive distributed lags technique, augmented mean group, and Dumitrescu-Hurlin panel causality test. First, the results validated a long-run cointegration among variables. Second, the results showed that renewable energy consumption and positive shocks to green and sustainable technology research are proper to mitigate carbon dioxide emissions (short- and long-run). Third, gross domestic product, foreign direct investment, exports, and negative shocks to green and sustainable technology research increase carbon dioxide emissions. Fourth, the nexus between green and sustainable technology research and carbon dioxide emissions was counter-cyclical during economic expansion and contraction periods. Fifth, the impact of positive shocks to green and sustainable technology research on carbon dioxide emissions was more than the impact of negative shocks to green and sustainable technology research on carbon dioxide emissions.

What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland

Because of global environmental problems, low-carbon agriculture has gained increasing importance both in developed and developing countries. Hence, there is a need to find ways to develop more efficient agricultural systems. The purpose of this article is to identify the drivers of low-carbon agriculture on farms in the Wielkopolska region (in Poland). We aimed to take an original approach to investigate low-carbon agriculture with a unique set of different economic and environmental variables and contribute to the literature, which is not very extensive in terms of microeconomic research, including research on farmers in the Wielkopolska region. Therefore, we employed a multiple-factor measurement model for structural equation modeling (SEM) of data collected individually from 120 farms in 2020. As a result, we formulated the following conclusions: the increasing productivity of factors (land, labor, and capital) have a positive effect on low-carbon farming, just as increasing fertilizer and energy efficiency. Moreover, thermal insulation is also important for low-carbon agriculture, with efficiency of fertilizer use being the most important factor. We believe that the issues of farm use of fertilizers and thermal insulation of buildings should be more broadly included in energy policy, both at the national and the European Union (EU) levels. Some of these factors however are already present in the common agricultural policy (CAP) for 2021-2027.

Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology

The importance of this research stems from the need to ensure the sustainability of cross-border cooperation through a better understanding of its determinants and causal relationships. While having common features and patterns, cross-border cooperation is always expressed through the relations of specific countries and peoples. Therefore, based upon the PLS-SEM methodology, the authors consider the fundamental factors influencing the external cooperation of Hungary’s transboundary regions. The advantage of the PLS-SEM method is that it enables researchers to simultaneously identify and approximate hidden connections between input data and to construct a regression model describing the relationship between input data. Despite widespread application in economic studies, the authors have not found the use of PLS-SEM for studying cross-border cooperation issues in the current scientific literature. The authors have built a model to assess the hidden factors of cross-border cooperation and to identify the indirect influence of certain factors. The novelty of the research is to identify the determinants of sustainable cross-border cooperation and the relationship between them in a multi-level system of cross-border interaction between businesses, people, and the State. In the Hungarian context, transport infrastructure and business travel are shown to have a direct positive impact on cross-border cooperation. For the first time, tourism and socio-economic conditions have been shown to have powerful but indirect impacts. This work could be the beginning of gathering new evidence on the determinants and causation of cross-border cooperation in the context of other countries. An important finding of the study is the growing importance of indicators of the new, post-industrial economy. As for recommendations, the authors focus on state, regional, and municipal support measures, awareness of the possibilities of cross-border cooperation, the need to develop e-commerce, and alternative energy as a modern basis for converting Hungary’s cross-border position into a competitive advantage.

Reinvigorating the role of clean energy transition for achieving a low-carbon economy: evidence from Bangladesh

Achieving carbon-neutrality has become a global agenda following the ratification of the Paris Agreement. For the developing countries, in particular, attaining a low-carbon economy is particularly important since these economies are predominantly fossil-fuel dependent, to which Bangladesh is no exception. Therefore, this study specifically aimed at evaluating the environmental impacts associated with energy consumption and other key macroeconomic variables in the context of Bangladesh over the 1975-2016 period. As opposed to the conventional practice of using carbon dioxide emissions to proxy environmental quality, this study makes a novel attempt to use the carbon footprints to measure environmental welfare in Bangldesh. The outcomes from this study are expected to facilitate the carbon-neutrality objective of Bangladesh and, therefore, enable the nation to comply with its commitments concerning the attainment of the targets enlisted under the Paris Agreement and the United Nations Sustainable Development Goals declarations. The econometric analysis involved the application of methods that are suitable for handling the structural break issues in the data. The overall findings from empirical exercises reveal that aggregate energy consumption, fossil fuel consumption, and natural gas consumption boost the carbon footprint figures of Bangladesh. In contrast, nonfossil fuel consumption and hydroelectricity consumption are witnessed to abate the carbon footprint levels. Besides, economic growth and international trade are also evidenced to further increase the carbon footprints. Hence, these findings suggest that a clean energy transition within the Bangladesh economy can be the panacea to the nation's persitently aggravating environmental hardships. Furthermore, the causality analysis confirmed the presence of unidirectional causalities stemming from total energy consumption, fossil fuel consumption, natural gas consumption, hydroelectricity consumption, economic growth, and international trade to the carbon footprints. On the other hand, nonfossil fuel consumption is found to be bidirectionally associated with carbon footprints. In line with these aforementioned findings, several key policy suggestions are put forward regarding the facilitation of the carbon-neutrality agenda in Bangladesh.