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Taking into account the contributions of economic performance (GDP), urbanization (URB), industrial structure (IND), and renewable energy consumption (REC), this paper examines the impact of green technology innovation (GTE), energy efficiency (EF), and environmental regulation (ER) on CO2 emissions in Chinese provinces from 2010 to 2020. Using the GMM method for the initial estimation, the MMQR as 2nd generation test for robustness and innovative panel causality presented by the JKS test, we have found: 1) a one percent boom in GDP is linked with a 0.08% upward push in CO2 emissions throughout 30 provinces in China. 2) the renewable energy and energy efficiency data seems to effectively decrease CO2 emissions, with a more pronounced impact observed at the upper quantile. 3) The environmental policy is limited across all quantiles. The study examines novel implications regarding sustainable development and carbon neutrality objectives. [ABSTRACT FROM AUTHOR]

This paper is the first comprehensive research to examine the effect of circular economy on environment employing two environmental degradation indicators (CO2 emissions, ecological footprint) and one environmental quality indicator (load capacity factor) for 57 Belt and Road Initiative (BRI) countries during 2000–2019. The effect of other variables such as renewable energy, industrialization, and globalization was also controlled. The study applied the cross-sectional autoregressive distributed lag method (CS-ARDL), the augmented mean group (AMG), and common correlated effects mean group (CCEMG) methods as a robustness checks. The empirical findings reveal that circular economy and renewable energy have pro-environmental effects by decreasing carbon emissions and ecological footprint and increasing the load capacity factor in BRI countries. However, industrialization and globalization have detrimental effects on the environment. The result of causality shows a bidirectional causality between renewable energy, circular economy, industrialization, and three environmental indicators, but the relationship of globalization with CO2 emissions and the load capacity factor is unidirectional and with the ecological footprint is bidirectional. All the results are confirmed by the robustness tests. The study suggests policy implications for the BRI government. [ABSTRACT FROM AUTHOR]

The purpose of this study is to examine the relationship between moral identity (MI), organizational virtue (OV), and organizational justice (OJ) in service firms. Additionally, the study investigates the mediating role of MI in the link between OV and organizational justice. Data was collected from 463 employees working in various service sector firms. Statistical analysis was conducted using SPSS 25.0 and structural equation modelling (SEM) to assess the relationships between the variables. The results demonstrated the significant impact of OV on organizational justice and MI. Furthermore, the findings revealed that MI not only directly influences organizational justice but also acts as a mediator in the relationship between OV and organizational justice. This study contributes to both theoretical understanding and practical management by shedding light on the importance of OV in achieving organizational justice. By exploring the previously unexamined interplay between OV, organizational justice, and the mediating role of MI, this research provides unique insights based on the live experiences of 463 service sector employees. [ABSTRACT FROM AUTHOR]

This study analyses the impact of GDP per capita, domestic credit, savings, and population on the environment in Pakistan from 1995 to 2019. The country has consistently been ranked eighth, fifth, and eight as an environmentally vulnerable nation from 1998 to 2017, 1999 to 2018, and 2000 to 2019, respectively. Therefore, the study explores the role of environmental awareness as a potential strategy for making peace with nature. Findings of the ARDL bounds testing approach confirm the long-run cointegration among variables of concern. In further assessment, the study determines that increased per capita income is detrimental to environmental quality in the long run. However, in the short run, it shows a favourable impact. On the other hand, domestic credit worsens the environment in the long and short runs. However, savings are positively insignificant in this regard. Furthermore, the total population significantly harms the environment in the long and short run. Fortunately, environmental awareness has emerged as a key solution to environmental degradation in Pakistan. Findings show that an increase in the dissemination of environmental awareness through the Internet, mobile, and landline phones, as well as by increasing education expenditures, mitigates the populations' detrimental impact on the environment and improves environmental quality in the long run. [ABSTRACT FROM AUTHOR]

Understanding the complex interactions between the economy and the environment is crucial for promoting sustainable development and mitigating the negative impact of human activities on the Planet. The importance of this issue for Serbia is evident as the country strives to balance economic growth and environmental protection to ensure a sustainable and resilient future. Therefore, the main objective of this study is to investigate and model the relationship between CO2 emissions, economic growth, electricity consumption, and trade openness in Serbia. Initially, an Autoregressive Distributed Lag (ARDL) model is used to characterize the Environmental Kuznets Curve (EKC) using data from the period from 1995 to 2019, followed by the construction of a bootstrap logistic regression model to predict environmental quality in Serbia. Long-term estimates of the model confirm an inverted U-shaped relationship, where all three variables exert a statistically significant influence on CO2 emissions. In the short run, however, a causal relationship is only observed between electricity consumption and CO2 emissions. The logistic regression results show that all three factors significantly influence environmental quality. The study proposes policy recommendations for Serbia, such as promoting sustainable economic growth, implementing long-term programs to reduce CO2 emissions, reviewing trade policies to prioritize sustainable practices, and investing in renewable energy sources to reduce emissions. [ABSTRACT FROM AUTHOR]

The main objective of this study is to examine the impacts of green energy and public investment on the CO2 emissions in North Africa. Moreover, the study also tests the existence of the N-shaped Environmental Kuznets Curve (EKC) hypothesis for North African countries between 1995 and 2018. These factors were analyzed using the Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS), and Pooled Mean Group (PMG) estimators to obtain estimations of heterogeneous parameters. The outcome of these tests and examinations showed that the N-shaped curve was confirmed. Secondly, The results of the study also demonstrate the effectiveness of renewable energy as an eco-friendly innovation in reducing carbon emissions. This finding highlights the positive impact that renewable energy sources can have in terms of emitting fewer carbon emissions compared to traditional energy sources. Moreover, public investment, which interprets government expenditure, and urbanization contribute to environmental degradation by increasing CO2 emissions in the case of North African countries. Furthermore, the findings also indicated a trade-off effect resulting from the correlation between CO2 emissions and economic development. Based on these findings, the study recommends that economic policymakers in North African countries prioritize transforming the structure of government expenditures to improve environmental quality, optimize the utilization of revenues from non-environmentally friendly energy resources to accelerate the energy transition, increase the exploitation of renewable energy, and promote environmental awareness in society. By implementing these recommendations, North African countries can balance economic growth and environmental quality while reducing their carbon footprint. [ABSTRACT FROM AUTHOR]

Pollution and energy crisis are actual issues in Europe, including the EU Central and Eastern European states. In this context, the objective of this paper is to assess the impact of economic growth and electricity prices for non-household consumers on pollution. The empirical findings reveal the U pattern for energy industry and inverted U pattern for manufacturing in the period 2007–2021 in the EU countries from Central and Eastern Europe. Renewable energy consumption reduces the CO2 and GHG emissions in energy industry. FDI and electricity prices determine the reduction in GHG and CO2 emissions in both sectors. These results are the basis for policy recommendations. [ABSTRACT FROM AUTHOR]

This study examines the impact of human capital and globalization on carbon dioxide (CO2) emissions for a sample of 78 developing countries, from Asia, Africa, and Latin America and the Caribbean, over the period from 1990 to 2016. As opposed to the existing studies in the literature, this study considers three types of globalization namely economic, social, and political globalization. The econometric analysis involves the use of the two-stage least squares-generalized method of moment method to account for endogeneity issues. The findings, overall, indicate that human capital development decreases CO2 emissions in developing countries across all regions. In contrast, social globalization increases CO2 emissions in all developing countries. Moreover, the empirical results also reveal that political globalization boosts CO2 emissions in the Latin American and Caribbean region, but helps to curb CO2 emissions in Asia, Africa, and in overall panel. Additionally, economic globalization significantly reduces CO2 emissions in the Latin American and Caribbean region but increases CO2 emissions in Asia, Africa, and in overall panel countries. Furthermore, human capital and globalization (in all three forms) jointly boost CO2 emissions. Hence, in line with this major finding, we recommend that the globalization policies should also incorporate the human capital development agenda of the developing countries in order to comprehensively tackle the aggravation of CO2 emissions. [ABSTRACT FROM AUTHOR]

This study aims to demonstrate the impact of renewable energy consumption (REC) on environmental degradation using the EKC hypothesis testing for the BRIC and G-7 countries. Two EKC models were created and tested, with Model 2 including REC and other independent variables such as economic freedom (EF) and economic policy uncertainty (EPU), which affect the level of renewable energy consumption and CO2 emissions. Empirical findings indicate that the EKC hypothesis is verified faster in the REC-EF-EPU-based EKC model (Model 2) than in the EF-EPU-based EKC model (Model 1) for G-7 countries since the turning point takes place earlier in Model 2 than in Model 1 with REC. This suggests that renewable energy consumption accelerates the reduction of CO2 emissions. Moreover, this earlier turning point results in lower environmental cleaning costs, less time vesting, and saving resources and money for G-7 countries. However, the study found no evidence supporting the EKC hypothesis for the BRIC countries. [ABSTRACT FROM AUTHOR]

Due to global and regional climatic dynamics for a couple of decades, agricultural productivity, rural livelihood, and food security have been badly affected in Pakistan. This study was conducted in Punjab, Pakistan, to explore the farmers' understanding of the impacts of climate change, adaptation strategies, determinants, and benefits on agriculture using data from 1080 respondents. Perceived risks by the farmers in the rice-wheat cropping system and the cotton-wheat cropping system were weed infestation, seed rate augmented, low-quality seeds, infestation of crop diseases and pests, change of cropping pattern, increase of input use, decrease of cropping intensity and productivity, decreasing soil fertility, increasing irrigation frequency, and increase of harvesting time. To alleviate the adverse influences of climate change, the adaptation strategies used by farmers were management of crop and variety, soil and irrigation water, diversification of agriculture production systems and livelihood sources, management of fertilizer and farm operations time, spatial adaptation, access to risk reduction measures and financial assets, adoption of new technologies, institutional support, and indigenous knowledge. Moreover, the results of Binary Logistic Regression indicate that adaptation strategies are affected by different factors like age, education, household family size, off-farm income, remittances, credit access, information on climatic and natural hazards, information on weather forecasting, land acreage, the experience of growing crops and rearing of livestock, tenancy status, tube well ownership, livestock inventory, access to market information, agricultural extension services, and distance from agricultural input/output market. There is a significant difference between adapters and nonadapters. The risk management system may be created to protect crops against failures caused by extreme weather events. There is a need to develop crop varieties that are both high yielding and resistant to climate change. Moreover, cropping patterns should be revised to combat the effects of climate change. To enhance farmers' standard of living, it is necessary to provide adequate extension services and a more significant number of investment facilities. These measures will assist farmers in maintaining their standard of living and food security over the long term to adapt to the effects of climate change based on various cropping zones. [ABSTRACT FROM AUTHOR]

As a result of a greater worldwide aspiration for wealth and economic progress, increased use of natural resources for diverse industries resulted in increased pollution emissions, mainly carbon dioxide. Energy security, economic stability, job security, biodiversity loss, climate change, and global warming all require reconciliation and resolution now, more than ever before. This paper explores the causal relationship between CO2 emissions, economic growth, available energy, and employment for a panel of eight South-Eastern European countries from 1995 to 2019. We investigate the relationship using panel unit root tests, panel cointegration methods, and panel causality tests. The results show a short-run bidirectional panel causality between CO2 emissions and employment and between available energy and employment. The results further indicate a unidirectional causality from available energy and employment to GDP. The long-run causal relationship results show that the estimated coefficients of the lagged ECT in the CO2 emissions, GDP, and employment equations are statistically significant, implying that these variables could play a significant role in the system's adjustment process as it departs from long-run equilibrium. We also conducted a variance decomposition analysis, which allowed us to compare the extent of the individual factors' contributions to each other over the next 5 years. [ABSTRACT FROM AUTHOR]

This study empirically estimates the impact of clean and non-clean energy consumption on economic growth and carbon dioxide emissions within the framework of the environmental Kuznets curve and pollution haven hypothesis in the case of PIMC countries from 1980 to 2019. The results of the panel cointegration test proposed by Westerlund (2007) show a long-term equilibrium relationship among the variables of each designated model. The long-term elasticities of economic growth and carbon emission estimated by AMG, CCEMG, and MG estimators indicate that both clean and non-clean energy consumption has a significant impact on economic growth, while carbon emission hinders growth. The results also reveal that economic growth, non-clean energy consumption, and interaction between trade openness and non-clean energy consumption have a driving effect on carbon dioxide emission; however, clean energy consumption is found to reduce carbon emission. In addition, the analysis confirms the existence of the inverted U-shaped environmental Kuznets curve and pollution haven hypothesis in the panel of PIMC economies. Finally, there is a one-way causality from non-clean energy consumption to economic growth, but no such causation exists between clean energy consumption and economic growth. The objective of sustained economic growth with a safe environment may be achieved by encouraging clean energy consumption in the PIMC economies. [ABSTRACT FROM AUTHOR]

The primary goal of this study was to examine the relationship between fossil fuel energy, electricity production from nuclear sources, renewable energy, CO2 emissions, and economic growth in Pakistan. Data ranging from 1975 to 2019 were utilized, and the stationarity of this data was verified through the unit root testing. The dynamic connections between variables were investigated by utilizing the linear autoregressive distributed lag technique. Long-run analysis results uncover that fossil fuel energy, renewable energy use, CO2 emissions, and GDP per capita have a productive relationship with economic progress in Pakistan, whereas electric power consumption, electricity produced from nuclear sources, and energy utilization have an adverse effect on economic growth. Furthermore, the consequences revealed that fossil fuel energy, renewable energy consumption, carbon dioxide emissions, and GDP per capita have a significant linkage to Pakistan's economic growth via short run, whereas we revealed that the variables electric power consumption, electricity produced from nuclear sources, and energy usage have an adversative linkage to Pakistan's economic growth. Feasible progressive policies are required from the Pakistani government to pay more attention for tackling the energy and power sectors' issues in terms of fulfilling the country's energy requirements. [ABSTRACT FROM AUTHOR]

Climate change has been a concern in the public sphere throughout the decades. Also, a constant change in climate as a result of geologic history is posing a global problem. Many earlier studies have focused on various factors; however, this study intends to contribute distinctly; therefore, we select 22 countries among the top 30 forested countries in the world declared by CEO-WORLD in 2020. The study explores the relationship between energy consumption, agricultural value-added, agricultural land, forest area, and real GDP with CO2 emissions from 1980 to 2019. For analysis, we account for heterogeneity in the cross sections by developing a novel panel nonlinear autoregressive distributed lag model in order to capture within-group variations, which is the panel data form of the Shin et al. (2014) model. The Pesaran 2007, CADF and CIPS panel unit root testing results indicate that the investigated variables are stationary at their first differences. The empirical finding shows positive and negative shocks in electricity consumption and agricultural land have a favourable and statistically significant long-term effect on CO2 emissions. Positive shocks in agricultural value-added and forest areas have a significant adverse influence on environmental degradation, while negative shocks have a substantial long-term positive effect on CO2 emissions. Positive shock in real GDP is insignificant, whereas negative shock shows adverse and substantial long-term impacts on CO2 emissions. This research's contributions will help policymakers evaluate energy needs and implement clean energy; combating deforestation will help reduce CO2 emissions and improve the quality of the environment and climate change. [ABSTRACT FROM AUTHOR]

The study explores the association between economic complexity index (ECI), tourism (TR), gross domestic products (GDP), gross domestic products per capita (GPC), and energy prices indices (EPI) on CO2e using the top 18 economic complexity index countries data from 1990 to 2019. We employ the second-generation cointegration methods and cross-sectionally augmented autoregressive distributed lag (CS-ARDL) to analyze the short- and long-term association also Dumitrescu and Hurlin Granger causality test applied. The results of Pesaran and Yamagata slope heterogeneity and Pesaran CD test confirm the presence of cross-sectional unit relationship and slope heterogeneity across countries, while positive long- and short-term associations were found among ECI, GDP, and CO2e. Also, TR, GPC, and EPI decrease carbon emissions both in the long and short term. Moreover, Augmented Mean Group (AMG) techniques verified and support these findings. The outcomes of the Dumitrescu and Hurlin Granger causality test showed that any policy aim at ECI, TR, GDP, GPC, and EPI has a considerable impact on CO2e. Based on the rigorous empirical analysis, we suggest that economic complexity, tourism, GDP, GPC, and energy prices would help alleviate high economic complexity countries' environmental degradation challenges. [ABSTRACT FROM AUTHOR]

Due to increased occupational dermatoses in certain professions such as health care workers (HCW), cleaning and kitchen employees (CKE), measures of prevention and skin protection are of high significance. Skin protection courses focus on educational aims (e.g. improving skin care habits, influencing the participants’ attitudes towards health) and medical aims (e.g. optimising diagnostic procedures, complementing individual therapy). Participants are patients who have been suspected to suffer from an occupational skin disease and are insured with the German Accident Prevention & Insurance Association (BGW). Teaching units of the skin protection courses focus on basics of skin functioning and important aspects of occupational skin diseases. Practical parts include information and instructions about the correct implementation of skin protection, skin care and skin cleansing. Every participant is seen by a dermatologist obtaining a precise patient’s history and performing a skin examination. All this results in working out individually adapted and professional skin protection strategies. In total, 791 participants (93 men and 698 women) completed the skin protections courses. Six hundred and sixty-seven patients (mean age: 36.9 years, SD = 11.6) were HCW and 124 patients (mean age: 40.4 years, SD = 10.8) were CKE. In HCW 82.5% ( n = 550) and in CKE 86.3% ( n = 107) suffered from hand eczema of the atopic, irritant or allergic type. Irritant contact dermatitis as a single diagnosis was the most frequent one in both groups (HCW: 34.5.%, n = 230; CKE: 49.2% n = 61). According to regularly performed evaluations, the participants rated the course as good to excellent. Nearly 80% of the participants had skin lesions while attending the course, in 27% the dermatosis was severe. There is a high need for health education, advisory services, diagnostics and additional therapy in occupational dermatology. Prevention of occupational skin diseases and maintenance of health through educational programmes are important complementary measures for dermatological care but still missing in endangered professions. [ABSTRACT FROM AUTHOR]