The sustainable use of diverse plants accustomed by different ethnic groups in Sibi District, Balochistan, Pakistan.

The present study was conducted to analyze the utilization of medicinal plants (traditional as well as cultivated) and there recipes accustomed by different ethnic groups of Sibi District (SD), Balochistan, Pakistan. The study was carried out between 2018 and 2021 by using semi-structured and open-ended questionnaire.. The randomly selected methods applied for this study were mainly based on household surveys walk through and interview with indigenous communityage 40 to 80, a total of 75 plants, belonging to 63 genera and distributed among 33 plant families were recorded. The dominant Plant families were the Fabaceae (12%) of all studied taxa, followed by the Amaranthaceae (7%), Asteraceae (6%), Cucurbitaceae, Solanaceae, Poaceae (4% each), Rhamnaceae and Zygophyllaceae (3%). Thirty traditional Food Recipes (TFR) and Traditional Medicinal Recipes (TMR) were novel being first time reported from SD., which are utilized by the local communities in their daily routine. These ethnic TFR and TMR have a tremendous role in preservation and sustainable use of traditional food habits and culture. It was also documented that along with cultivated, the wild edible and medicinal plant preparations play a significant role in in the economic potential and primary health care system of the local communities. The study recommends the specific measures, such as small industries, improved export means, tourism and educational activities, to protect the traditional knowledge and biocultural heritage of the region before its erosion.

Institutional quality, oil price, and environmental degradation in MENA countries moderated by economic complexity and shadow economy.

This paper aims to analyze the link between environmental degradation and institutional quality and the price of oil moderated by economic complexity and the underground economy. We use quantile regressions with annual panel data for 15 countries in the Middle East and North Africa during 1995-2021. The findings indicate that institutional quality, economic complexity, and output positively and heterogeneously impact environmental degradation. However, the square of production has a negative impact, confirming an inverted U relationship between production and environmental degradation. Likewise, we find that the price of oil and the underground economy have a negative and heterogeneous impact on environmental degradation. Based on our results, a potential recommendation for policymakers is that the institutional framework of Middle Eastern and North African countries should be accompanied by a more significant concern for the environment instead of prioritizing extractive growth that is detrimental to the environment's environmental sustainability. Likewise, economic diversification will mitigate environmental degradation and improve formal employment. Our findings are relevant to policymakers and researchers interested in promoting ecological sustainability.

Spectroscopic fingerprinting, pollution characterization, and health risk assessment of potentially toxic metals from urban particulate matter.

The unprecedented stride of urbanization and industrialization has given rise to anthropogenic input of tiny particulates into the air. Urban particulate matter (PM) armored with potentially toxic metals (PTMs) could be lethal to the environment and human health. Therefore, the present study was planned to investigate the spectroscopic fingerprinting, pollution status and health risk of PM-associated PTMs collected from ten functional areas of Lahore, Pakistan. The diverged results of studied qualitative and quantitative analyses showed distinct compositional and pollution characteristics of PTMs in urban PM with respect to selected functional areas. The XRD results evident the fractional presence of metal-containing minerals, i.e., pyrite (FeS2), calcite (CaCO3), zinc sulfate (ZnSO4), and chalcostibite (CuSbS2). Several chemical species of Zn, Pb, and As were found in PM of various functional areas. However, morphologies of PM showed anthropogenic influence with slight quantitative support of PTMs presence. The cumulative representation of PTMs pollution of all selected areas depicted that Cd was heavily polluted (Igeo=3.21) while Cr (Igeo=1.82) and Ni (Igeo=2.11) were moderately polluted PTMs. The industrial area having high pollution status of Cd (Igeo=5.54 and EF=18.07), Cu (Igeo=6.4 and EF=32.61), Cr (Igeo=4.03 and EF=6.53), Ni (Igeo=5.7 and EF=20.17), and Zn (Igeo=4.87 and EF=11.27) was prominent among other studied areas. The PTMs were likely to pose a high non-cancerous risk in IndAr (HI = 7.48E+00) and HTV (HI = 1.22E +00) areas predominantly due to Zn with HQ > 1. However, Cr was prominent to cause cancerous risks with values beyond the tolerable range (1.00E-04 to 1.00E-06).

The nexus between government spending, economic growth, and tourism under climate change: testing the CEM model for the USA.

This study examines the impact of government spending, income, and tourism consumption on CO2 emissions in the 50 US states through a novel theoretical model derived from the Armey Curve model and the Environmental Kuznets Curve hypothesis. The findings of this research are essential for policymakers to develop effective strategies for mitigating environmental pollution. Utilizing panel cointegration analysis, the study provides valuable insights into whether continued increases in government spending contribute to higher pollution levels. By identifying the threshold point of spending as a percentage of GDP, policymakers can make informed decisions to avoid the trade-off between increased spending and environmental degradation. For instance, the analysis reveals that Hawaii's tipping point is 16.40%. The empirical results underscore the importance of adopting sustainable policies that foster economic growth while minimizing environmental harm. These findings will aid policymakers in formulating targeted and efficient approaches to tackle climate change and promote long-term environmental sustainability in the United States. Moreover, the impact of tourism development on CO2 emissions varies across states, with some US states experiencing a decrease while others see an increase.

Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries.

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.

Determinants of environmental quality in India: evidence using the bootstrapped ARDL model with structural breaks.

This current study examines the impact of renewable energy consumption, agriculture, and globalization on carbon emissions in India over the period from 1980 to 2018. For long-run estimates, we apply Gregory-Hansen's co-integration test, bootstrap ARDL approaches, fully modified ordinary least squares, and dynamic OLS. The empirical results of long-run estimates indicate that a 1% increase in renewable energy consumption, agriculture, and economic globalization will increase carbon emissions by 0.764%, 1.675%, and 0.517%, respectively. Moreover, this study confirms the detrimental effect of these variables on carbon dioxide emissions. Economic globalization coefficients indicate that the scale effect is valid in India. The 2002 economic crisis slowed down the country's growth rate, which reduced the ecological pollution. Several policy recommendations are derived from the empirical findings.

Are economic growth and environmental pollution a dilemma?

For the first time, this study introduces-proposes using the Armey curve hypothesis (ACH) for testing the environmental Kuznets curve hypothesis (EKCH) in the relevant literature. The rationale for this new proposed methodology is that both hypotheses are expected to have similar inverted U-shaped curves. Hence, we combine the aforementioned hypotheses to obtain a single composite model. This single model may allow us to calculate a maximum (optimum) level of government expenditures that will increase or decrease CO2 emissions for USMCA (the USA-Mexico-Canada Agreement) countries. To this end, our study employs an augmented mean group (AMG) estimator. The results demonstrate that the EKCH is verified by way of the AC model only for Mexico. Additionally, with the advantage of this approach, we calculated the optimal government spending level, which will increase both per capita real GDP (RGDPPC) and CO2 emissions in this country by around 26.4% of RGDPPC. This level of spending will be a kind of threshold point for the Mexican government's policymakers. Hence, they will know that if they continue to spend more than this level, both the RGDPPC and CO2 emissions will decrease, implying either a lower RGDPPC or a cleaner environment. The primary purpose of the proposed methodology in this study is to reveal the possible effects of the government's economic growth-oriented increased public expenditures on the environment in a single composite model. In other words, the relationship between economic growth and the environment is approached from the perspective of public spending, and it is reminded that governments should have harmonious and sustainable public spending policies for both economic growth and a cleaner environment.

Assessment of knowledge, perception, practices and drivers of antimicrobial resistance and antimicrobial usage among veterinarians in Pakistan.

BACKGROUND: Antimicrobial resistance (AMR) and irrational antimicrobial usage (AMU) are a global problem, particularly evident in low- and middle-income countries including Pakistan. Our study aimed to assess the knowledge, attitudes and prescribing practices (KAP) of field veterinarians regarding AMR and AMU. METHODS: A questionnaire-based online survey was conducted using Google forms to collect data on AMR and AMU from veterinary practitioners in Pakistan between July 25, 2020, and February 2, 2021. The questionnaire was comprised of four sections: 1) Demographic information of the respondents, 2) Knowledge about AMR, and AMU, 3) Antibiotic prescribing behavior, attitudes and influencing drivers and 4) Practices of respondents about AMU and drug disposal. RESULTS: A total of 545 participants (Male 84%, Female 16%) completed the survey. The respondents' qualification (P = 0.008), gender (P = 0.007) and type of practitioner (P < 0.001) had a significant association with the mean knowledge score about AMR. Most of the veterinarians had never attended any training, symposium, or awareness session on AMR (63%) and methods to detect antibiotic residues (71%). Participating veterinarians frequently included "critically important antimicrobials" in their treatment regimens. Most veterinarians (60%) prescribed antibiotics for viral diseases. Our study showed that about 44% of veterinarians disposed of expired drugs in the garbage. Antibiotics were prescribed as mass medication and for prophylaxis by 59% and 33% of the veterinarians, respectively, while about 60% of the veterinarians prescribed antibiotics starting with double doses in their treatment regimens. Importantly, only 4% of the veterinarians recognized the concept of One Health. Male veterinarians had higher odds of prescribing mass medication (OR=3.07, P < 0.001) and use of antibiotics for disease prophylaxis (OR=2.31, P = 0.002) than females, whereas improper disposal of expired antimicrobials (OR=2.12, P = 0.003) was more common in female veterinarians. Government veterinarians had 2 (OR=1.95, P = 0.016) and 3 (OR=3.05, P < 0.001) times higher odds to prescribe antibiotics prophylactically and for mass treatments, respectively compared to full-time private veterinarians. CONCLUSION: Our study identifies key factors influencing veterinarians' decision about antimicrobial prescription and highlights important shortcomings such as lack of training on rational use of antimicrobials, frequent use of antimicrobials for mass medication and prophylaxis, widespread use of critically important antimicrobials, and improper disposal practices. There is a dire need to improve knowledge of veterinary practitioners regarding AMR and to adopt a One Health approach to rationalize AMU at the national level in line with the regional and international guidelines.

Technology innovations impact on carbon emission in Chinese cities: exploring the mediating role of economic growth and industrial structure transformation.

China seems ambitious to achieve a "carbon emissions peak" before 2030 and "carbon neutrality" before 2060. To deal with this emissions mitigation plan, technology innovations are regarded as a crucial factor. However, considering its rebound effect (CO2 emissions driving effect) through economic growth, technology innovations might not prove a promising contributor to CO2 reduction. Therefore, there is a need to investigate further the nexus between technology innovations and CO2 emissions for conclusive debate. Based on the data of 215 cities in China, this paper uses mediating effects model to investigate the direct and indirect impacts (through economic growth and industrial structure transformation) of technology innovations on CO2 emissions from a microeconomic perspective. The main results suggest that technology innovations generally increase CO2 emissions in China both directly and indirectly. The impact of technology innovations and economic growth on CO2 emissions indicated the EKC characteristics. Furthermore, the contributions of technology innovations to CO2 emissions are distinguished in different regions. Thus, there is an urgent need for China to promote innovations in "clean technology" and to transform industrial structure to the tertiary industry to achieve the targets of carbon neutrality and emissions peaking.

Assessment of aflatoxin M1 exposure and associated determinants in children from Lahore, Pakistan.

Aflatoxins are potent carcinogenic and immunomodulatory mycotoxins, and exposure may lead to deleterious effects on human health. This study aimed to detect aflatoxin M1 (AFM1) as biomarker of exposure and determine associated risk factors in children attending a specialized-childcare hospital in Lahore. Urine samples collected from 238 children (1-11 years) during winter (January-mid-March 2020) and hot-humid summer (August-September 2020) were tested for AFM1 presence using ELISA. Data on potential risk factors were also collected. Of 238 samples, 156 (65.5%) were positive for urinary AFM1. Season was significantly associated (OR = 2.64; 95% CI = 1.49-4.79; p = 0.001) with AFM1 positivity; prevalence was higher in hot-humid months (74.6%) than winter (57.3%). The place of living was also significantly associated (OR = 2.21; 95% CI = 1.25-3.97; p = 0.007), and urinary AFM1 positivity was higher in urban children (71.1%) compared to rural (58.3%). Median value for creatinine-adjusted AFM1 was 1.9 ng/mg creatinine (Q1-Q3 = 0.82-6.0 ng/mg creatinine), while non-creatinine-adjusted AFM1 was 0.57 ng/mL (Q1-Q3 = 0.23-1.4 ng/mL). Significantly higher urinary AFM1 levels were detected in children; age ≤2 years (p = 0.037), who consumed more milk (p = 0.048), and who presented to the nutrition clinic (p = 0.003). These findings highlight the need for an effective control program to reduce the AFM1 burden in children.

Ensuring environmental inclusion in developing countries: the role of macroeconomic policies.

In every society, there exist disadvantaged groups who have failed constantly to take part in the development of the economy and reap the benefits of economic growth as well. Along with economic and social factors, environmental factors are also accountable in making inclusion a challenge for the marginalized group. Contaminated drinking water, inappropriate sanitation systems, and pollution are the factors that affect health and wellbeing of the poor class by affecting their productivity. Thus, the lack of a clean environment leads the poor section towards further poverty and income inequality. Since the 2030 Agenda for Sustainable Development emphasizes three components to achieve sustainable development, namely economic, social, and environmental, this study inspects the role of macroeconomic policies in ensuring an inclusive clean environment in developing countries. Moreover, it considers the composite effect of fiscal policy and monetary policy on environmental inclusion by including interactive terms. This investigation uses FE-2SLS on a panel of 51 developing countries for the period of 1995-2019 to analyse the impact of macroeconomic policies on environmental inclusion. The study provides empirical evidence that fiscal and monetary policy has the potential to ensure an inclusive clean environment in developing countries. The findings imply that the macroeconomic policy actions depend on each other. Furthermore, governments in developing regions are required to cut nondeveloping expenditures and use expansionary monetary policy to promote green growth.

Globalization and renewable energy use: how are they contributing to upsurge the CO2 emissions? A global perspective.

The present study major aim was to examine the impact of globalization, economic growth, population growth, renewable energy usage and nuclear energy on CO2 emissions globally by taking the annual data varies from 1985 to 2020. Stationarity among study variables were tested via unit root testing, while nonlinear autoregressive distributed lag (NARDL) technique was used to demonstrate the linkages among variables with the estimation of long-run and short-run. Study results reveal that both in the short run and long run, negative globalization and economic growth shocks positively and negatively influence CO2 emissions, respectively. Besides, higher population growth is found to positively influence CO2 emissions while renewable energy consumption cannot influence the CO2 emission figures. Lastly, positive and negative shocks to alternative nuclear energy consumption are evidenced to negatively influence CO2 emissions both in the short run and long run. Hence, in line with these findings, several new policies and strategies are recommended for reducing carbon emissions globally.

The relationship between CO2 emissions, economic growth, available energy, and employment in SEE countries.

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.

Biotoxicity assessment of cloned cry 11 protein gene from Bacillus thuringiensis 9NF.

The current investigation describes the isolation and characterization of toxic Bt. local isolates harboring 99% homology with Bti. prototoxin Bacillus thuringiensis (AXJ97553.1 and novel OUB27301.1) which contains full length cry11 gene (1.9 kb). Initially, it was cloned in pTZ57R/T and then sub-cloned in pET30a(+) for expression. The optimized conditions for good expression were found 1 mM IPTG, 3.5-4 h incubation time, and 37 °C. Toxicological assays were determined against 3rd instar larvae of Aedes aegypti with expressed partially purified and crude recombinant protein using recombinant E. coli BL21, DE3 transformed with cry11 gene. It was found that partially purified Bt. protein is highly toxic against A. aegypti larvae with LC50 value of 42.883 ± 6 µg/ml. B. thuringiensis strains producing Cry 11 toxic protein can be used as biopesticide to control resistance in insects.

Assessment of aflatoxin B1-lysine adduct in children and its effect on child growth in Lahore, Pakistan.

Aflatoxin B1 is an important toxic food contaminant and there is very little information available about its exposure and effects on the health of the Pakistani population. Therefore, children (n = 238) aged 1-11 years were recruited in this study to estimate the levels of aflatoxin B1-lysine adduct and to measure its adverse effects on growth. Blood samples were analyzed to detect AFB1-lysine adducts through high-performance liquid chromatography. Socio-demographic information and anthropometry measurements were also obtained. All participants had detectable levels of AFB1-lysine adduct with a median concentration of 10.66 pg/mg albumin (95% CI: 8.6-12.4). Differences in area of residence (p < 0.05) and the father's employment (p < 0.05) were significant predictors for aflatoxin concentration levels in ordinary least square and quantile regression models (residence in 75th quantile and father employment in 90th quantile). Children aged from 5 to 11 years in the 5th and 90th quantiles of the regression model had a significant association with aflatoxin levels. A very high (50.4%, 120/238) prevalence of growth impairment (stunting, wasting, and underweight) was also observed in this study. Although we couldn't establish the effect of aflatoxin on growth impairment, children with low serum albumin levels (OR = 0.18; 95% CI: 0.05-0.56; p = 0.004) were likely to be at risk of wasting. Also, low birth weight was strongly associated with wasting (OR = 3.11; 95% CI: 1.36-7.03; p = 0.006) and underweight (OR = 4.60; 95% CI: 2.21-10.05; p= <0.001), while the mother's school level education had a correlation with child stunting (OR = 1.84; 95% CI: 1.07-3.22; p = 0.029). The high prevalence of growth impairment and high concentration of serum AFB1-lysine adduct levels in study participants demand immediate efforts to mitigate the adverse health outcomes in children in Pakistan.

Revealing the dynamic effects of fossil fuel energy, nuclear energy, renewable energy, and carbon emissions on Pakistan's economic growth.

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.

Pathways towards environmental sustainability: exploring the influence of aggregate domestic consumption spending on carbon dioxide emissions in Pakistan.

The traditional literature has explored various factors including, but not limited to, trade openness, financial development, energy consumption, foreign direct investment, globalization, and per capita income that significantly contribute to carbon emissions. However, the current study identifies aggregate domestic consumption spending as a novel driver of carbon dioxide, employing the data for the period of 1973-2018 in Pakistan. To this end, we develop the theoretical framework to illustrate the link between aggregate domestic consumption spending and carbon dioxide emissions and deploy autoregressive distributed lag (ARDL), asymmetric ARDL, and the threshold non-linear ARDL (NARDL) techniques. The results of the ARDL method suggest that only in the short run, aggregate domestic consumption spending significantly affects carbon dioxide emissions. Furthermore, the findings of the NARDL approach reveal that the positive and negative shocks significantly deteriorate and ameliorate the environmental quality by increasing and decreasing the pollution, respectively, in the short and long run. Even though the outcome of the threshold NARDL technique supports the results of the aforementioned approaches, the novelty of the current study is to find out the threshold in aggregate domestic consumption spending, which carries a significant role in determining the carbon emissions in both periods. Besides, we infer that fossil fuels energy and trade openness also degrade the Pakistani climate by boosting atmospheric pollution. Additionally, the application of the asymmetric Granger causality test validates the results by asserting the casual relationship between aggregate domestic consumption spending and carbon dioxide emissions. Based on the results, we suggest the authorities to start to promote the deployment of green products publicly to obtain green and sustainable development.

Retesting the EKC hypothesis through transmission of the ARMEY curve model: an alternative composite model approach with theory and policy implications for NAFTA countries.

We investigate the validity of the environmental Kuznets curve (EKC) hypothesis for the NAFTA countries. In this investigation, we approach this hypothesis from a different methodology and propose employing the ARMEY curve hypothesis since the mathematical-functional propositions of both hypotheses were constructed on the same inverted U-shaped relationships. Thus, for the first time, it can be interpreted that the EKC hypothesis is empirically tested through a transmission mechanism of the ARMEY curve hypothesis in a single composite model. Therefore, this approach makes our study different from all empirical studies in the relevant literature. We apply the Augmented Mean Group (AMG) estimator to this aim. Empirical findings indicate that the ARMEY curve hypothesis was verified only for the USA. However, this new approach proposed in this study cannot test the EKC hypothesis through the ARMEY curve model for any NAFTA country since this approach requires verification of the ARMEY curve hypothesis and a significant composite model for the same NAFTA country. If our composite model was significant, it might make it possible to numerically determine a maximum real GDP per capita level that would minimize or maximize CO2 emission levels for the USA. Therefore, this study introduces-proposes this new methodology as an alternative way of testing the EKC hypothesis in the relevant literature for future empirical studies.

Pathways to Argentina's 2050 carbon-neutrality agenda: the roles of renewable energy transition and trade globalization.

The government of Argentina has recently declared its objective of turning the nation carbon-neutral by 2050. Thus, it is essential to identify the relevant factors which can facilitate the attainment of this environmental development target. Against this backdrop, this study aims to evaluate the impacts of renewable electricity output, trade globalization, economic growth, financial development, urbanization, and technological innovation on sectoral carbon dioxide emissions in Argentina during the 1971-2014 period. The findings, overall, suggest that enhancing renewable electricity output share in the total electricity output figure of the nation helps to curb carbon dioxide emissions generated from Argentina's energy, manufacturing and industry, residential and commercial buildings, and transportation sectors. Contrarily, greater trade globalization is evidenced to boost carbon dioxide emissions in almost all the aforementioned economic sectors. Besides, the findings also validate the existence of the carbon dioxide emission-induced environmental Kuznets curve hypothesis for all four sectors. In addition, financial development and urbanization are also evidenced to exert carbon dioxide emission-stimulating impacts, while technological innovation is witnessed to be necessary for curbing sector-based carbon dioxide emissions in Argentina. Accordingly, to decarbonize the economy, this study recommends the government of Argentina to adopt necessary policies for fostering renewable energy transition within the electricity sector, greening the trade globalization strategies, achieving environmentally sustainable economic growth, developing the financial sector by introducing green financial schemes, planning sustainable urbanization, and financing technological development-oriented projects.