Shaping a greener future: The role of geopolitical risk, renewable energy and financial development on environmental sustainability using the LCC hypothesis.

The recent progress report of Sustainable Development Goals (SDG) 2023 highlighted the extreme reactions of environmental degradation. This report also shows that the current efforts for achieving environmental sustainability (SDG 13) are inadequate and a comprehensive policy agenda is needed. However, the present literature has highlighted several determinants of environmental degradation but the influence of geopolitical risk on environmental quality (EQ) is relatively ignored. To fill this research gap and propose a inclusive policy structure for achieving the sustainable development goals. This study is the earliest attempt that delve into the effects o of geopolitical risk (GPR), financial development (FD), and renewable energy consumption (REC) on load capacity factor (LCF) under the framework of load capacity curve (LCC) hypothesis for selected Asian countries during 1990-2020. In this regard, we use several preliminary sensitivity tests to check the features and reliability of the dataset. Similarly, we use panel quantile regression for investigating long-run relationships. The factual results affirm the existence of the LCC hypothesis in selected Asian countries. Our findings also show that geopolitical risk reduces environmental quality whereas financial development and REC increase environmental quality. Drawing from the empirical findings, this study suggests a holistic policy approach for achieving the targets of SDG 13 (climate change).

From brown to green: are Asian economies on the right path? Assessing the role of green innovations and geopolitical risk on environmental quality.

Preserving the sustainability of the natural environment has emerged as a critical focus on policy agendas worldwide. Therefore, this study examines the relationship between environmental quality and key determinants, focusing on geopolitical risk (GPR), green innovations (GI), economic growth, FDI, renewable energy consumption, and urbanization. Dataset is used for the time period of 1990-2020 across selected Asian economies including China, India, Japan, Malaysia, and South Korea. Using load capacity factor (LCF) as a comprehensive proxy for environmental quality, the research utilizes panel quantile regression (QR) to provide empirical outcomes. Results of panel QR method reveal a negative impact of economic growth and GPR on LCF. On the other hand, green innovation, FDI, and renewable energy are found as supportive factors to boost environmental quality. In addition, urbanization also shows positive linkage with LCF. The application of Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) further validates the robustness of the findings. Adoption of green innovations, practicing sustainable growth patterns, transition toward cleaner energy practices, and integrated urban planning are advocated to enhance environmental quality among Asian nations. Based on empirical findings study suggests comprehensive policy measures that can help in achieving sustainable development goals (SDGs) including SDG-7 (energy efficiency), SDG-8 (sustainable economic growth), SDG-11 (sustainable cities), and SDG-13 (climate action) among Asian countries.

Impact of transportation infrastructure and urbanization on environmental pollution: evidence from novel wavelet quantile correlation approach.

In terms of achieving sustainable development goals (SDGs), the developing economies are facing many issues, and one of the key issues is environmental degradation. Being a developing economy, Pakistan is also experiencing thought-provoking impacts of global warming and still far away from the ideal track of sustainable development. For addressing environment-related issue and achieving the targets of SDGs, a policy-level reorientation might be necessary. In this view, this study investigates the impact of economic growth, transport infrastructure, urbanization, financial development, and renewable energy consumption on CO2 emissions by using the data of Pakistan during 1990-2020. For this purpose, we use novel wavelet quantile correlation approach. The empirical results of wavelet quantile correlation approach demonstrate that economic growth, transport infrastructure, urbanization, and financial development are responsible for environmental pollution. Whereas, result also claims that renewable energy consumption is a useful tool for reducing environmental pollution in Pakistan. Moreover, the results of FMOLS approach show that 1% increase in economic growth, transportation infrastructure, urbanization, and financial development increases CO2 emissions by 0.240, 0.010, 0.478, and 0.102%, respectively. However, 1% increase in renewable energy usage reduces CO2 emission by 1.083%. Based on the empirical outcomes, this study proposes comprehensive policy framework for achieving the targets of SDG 7 (clean energy), SDG 8 (economic growth), SDG 11 (sustainable cities and communities), and SDG 13 (climate action).

Impact of economic policy uncertainty and renewable energy on environmental quality: testing the LCC hypothesis for fast growing economies.

This study investigates the influence of economic policy uncertainty and trade openness on load capacity factor for fast growing countries for time period of 1996-2019. The empirical outcomes verify the presence of the LCC hypothesis in fast growing economies. Results also show that economic policy uncertainty reduces environmental quality for lower quantiles, whereas renewable energy consumption is a useful tool for improving environmental quality. Moreover, the negative sign of the coefficient of trade openness demonstrates that the current pattern of trade is not providing the desired outcomes. Based on these empirical findings, we suggest a comprehensive policy framework to attain the targets of SDG 07 (renewable energy), SDG 08 (economic growth), and SDG 13 (climate action).

A different look at the environmental Kuznets curve from the perspective of environmental deterioration and economic policy uncertainty: evidence from fragile countries.

Environmental degradation is one of the most significant issues that developing nations confront and needs to be resolved right away in order for them to achieve sustainable development. Government policies are crucial in this situation since emerging nations frequently struggle with the issue of policy ambiguity, which can result in environmental deterioration. In this context, this study investigates how policy uncertainty affects environmental degradation in the five fragile emerging economies known as the Fragile Five-Brazil, India, Indonesia, South Africa, and Turkey. Using data from 1996 to 2019, we estimate a Panel Quantile Regression analysis. The empirical findings indicate that economic policy uncertainty and technology innovation increases the environmental degradation whereas environmental degradation is slowed down by financial development and renewable energy consumption. Empirical evidence also confirms the presence of EKC hypothesis in fragile economies. Based on the findings, we suggest both a policy and an environmental framework for achieving sustainable development in fragile economies.

Revisiting the environmental Kuznetz curve and pollution haven hypothesis in N-11 economies: Fresh evidence from panel quantile regression.

Human activities in recent decades have severely affected environmental quality, and CO2 emissions have irreparable consequences on human health and the survival of the earth. Moreover, achieving sustainable development goals requires the expansion of environmental literature to accelerate the performing of critical actions. With this in mind, this study evaluates the impact of foreign direct investment, economic complexity, and the utilization of renewable energy on CO2 emission in N-11 countries from 1995 to 2019 by Panel Quantile Regression. As a novelty, the interaction between economic complexity and foreign direct investment is considered to get a better comprehension. Given the results, Environmental Kuznetz Curve is validated in N-11 countries through economic complexity. Notably, the impact of economic complexity is more substantial and robust in the incipient stages of industrialization. Furthermore, foreign direct investment is a destructive factor for environmental quality, and Pollution Haven Hypothesis is not rejected. Interestingly, the interaction of economic complexity and foreign direct investment mitigates the trend of CO2 emissions. Eventually, the utilization of renewable energy reduces CO2 emissions. Thereby, applying more strict environmental regulations and standards, developing green energy infrastructure and technologies, improving institutional quality, and supporting knowledge-based and technology-intensive exports are the main policy recommendations of this study.

Pharmacological Applications of Phlorotannins: A Comprehensive Review.

BACKGROUND: Seaweeds, including marine brown algae, are traditional food sources in Asia. Phlorotannins, as the product of the polyketide pathway, are mainly found in brown algae. Different properties have been attributed to this group of marine products ranging from antiallergic to anticancer activity. Mechanism of action is not obvious for all these properties, but there are some explanations for such effects. OBJECTIVE: The current study aimed to review the phlorotannins and to assess the beneficial uses in medicine. METHODS: Different databases were explored with the exact terms "Phlorotannin", "Seaweed" and "Brown Algae". Data assembly was finalized by June 2019. The papers showing the effects of phlorotannins in medicine were gathered and evaluated for further assessment. RESULTS: General physiological aspects of phlorotannins were firstly evaluated. Different arrays of pharmacological properties ranging from anti-diabetic activity to cancer treatment were found. The mechanism of action for some of these beneficiary properties has been confirmed through rigorous examinations, but there are some features with unknown mechanisms. CONCLUSION: Phlorotannins are characterized as a multifunctional group of natural products. Potential antioxidant characteristics could be attributed to preventive and/or their curative role in various diseases.

Two Percentage of Ketoconazole Cream for the Treatment of Adult Female Acne: A Placebo-Controlled Trial.

Introduction Our objective was to determine the efficacy of ketoconazole (KTZ) 2% cream for the treatment of mild adult female acne (AFA). Materials and methods This placebo-controlled trial was conducted in District Headquarters (DHQ) Teaching Hospital, Sahiwal, Pakistan. The study was completed in a period of January 2019-June 2020. A total of 60 females of age > 25 years having mild AFA were included. In Group I, the patients were advised to apply 2.0% KTZ cream covering the whole skin area twice daily for a period of eight weeks. In Group II (placebo group) patients, a topical cream containing propylene glycol was applied for similar period. After eight weeks, the cream was discontinued and participants were advised to use routine skincare products, and follow-up was done after two weeks. The main study outcome was reduction in the total count of acne lesions including both inflammatory and non-inflammatory lesions and overall success rate of treatment. Results Mean age was 36.2 ± 6.3 years in KTZ group versus 35.4 ± 6.5 years in control group. Mean duration of acne was 14.3 ± 7.3 years in KTZ group versus 15.1 ± 6.9 years in control group. Improvement in facial adult female acne scoring tool (AFAST) scale (AFAST-F) was observed in 13 (43.3%) patients in KTZ group and in only 4 (13.3%) patients in control group (p value = 0.009). Improvement in submandibular AFAST (AFAST-S) was observed in 12 (40.0%) patients in KTZ group and in eight (26.7%) patients in control group. The overall success rate of treatment was 14 (46.7%) in KTZ group versus 4 (13.3%) in control group (p value = 0.012). Conclusions In our study, we found significant improvement in reduction of acne lesions as well as complete recovery using 2.0% ketoconazole for the treatment of mild AFA. So KTZ can be used as a preferred treatment option for these patients.

Ameliorating Effects of Biochar Derived from Poultry Manure and White Clover Residues on Soil Nutrient Status and Plant growth Promotion--Greenhouse Experiments.

Biochar application to agricultural soils is rapidly emerging as a new management strategy for its potential role in carbon sequestration, soil quality improvements, and plant growth promotion. The aim of our study was to investigate the effects of biochars derived from white clover residues and poultry manure on soil quality characteristics, growth and N accumulation in maize (Zea mays L.) and wheat (Triticum aestivum L.) grown in a loam soil under greenhouse conditions. Treatments comprised of: untreated control; mineral N fertilizer (urea N, UN) at the rate of 200, and 100 mg N kg(-1), white clover residues biochar (WCRB), poultry manure biochar (PMB) at 30 Mg ha(-1), and the possible combinations of WCRB+PMB (50:50), UN+WCRB (50:50), UN+PMB (50:50), and UN+WCRB+PMB (50:25:25). The treatments were arranged in a completely randomized design with three replications. Results indicated a significant increase in the growth and biomass production of maize and wheat supplemented with biochars alone or mixed with N fertilizer. Biochars treatments showed varying impact on plant growth depended upon the type of the biochar, and in general plant growth under PMB was significantly higher than that recorded under WCRB. The growth characteristics in the combined treatments (half biochar+half N) were either higher or equivalent to that recorded under full fertilizer N treatment (N200). The biochar treatments WCRB, PMB, and WCRB+PMB (50:50) increased maize shoot N by 18, 26 and 21%, respectively compared to the control while wheat shoot N did not show positive response. The N-uptake by maize treated with WCRB, PMB, and WCRB+PMB (50:50) was 54, 116, and 90 mg g(-1) compared to the 33 mg g(-1) in the control while the N-uptake by wheat was 41, 60, and 53 mg g(-1) compared to 24 mg g(-1) in the control. The mixed treatments (half biochar+half N) increased N-uptake by 2.3 folds in maize and 1.7 to 2.5 folds in wheat compared to the N100 showing increasing effect of biochar on N use efficiency of applied N. Post-harvest soil analysis indicated a significant increase in pH, organic matter, organic C, total N, C:N, and porosity (% pore space) by the added biochars while bulk density (BD) was significantly decreased. The organic matter content in the soil amended with biochars ranged between 19.5 and 23.2 g kg(-1) compared to 11.7 and 10.2 g kg(-1) in the control and N fertilizer treatments while the BD of biochars amended soils (WCRB, PMB, and WCRB+PMB) was 1.07, 1.17, and 1.11 g cm(-3) compared to 1.28 g cm(-1) in the control. In summary, the results of present study highlight the agronomic benefits of biochars in improving the quality of the soil, and promoting growth, yield and N accumulation of both maize and wheat with a consequent benefit to agriculture.