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This research measures the relationship between green innovation and the performance of financial development by using an econometric estimation during the year of 2000 to 2018 in 28 Chinese provinces. It is intended to explore the relative role of green technological innovation in driving green financial development in the west and central China, as well as how it influences economic growth in these regions. Ordinary least square (OLS) framework was utilized in mainland China to perform empirical studies by using an econometric estimation. This study claims that China has adopted research-based education system, while those for economic growth and expenditure in the regions while the innovation parts results shows that the  tertiary education were 12.42% and 13.53% versus the 10.50% and 10.6% in the eastern area. The research-based education increases the patents in green innovation and boosts the environmental policy. The financial development led to green technological development and innovation. Green innovation and financial development decrease the emissions, and it is apparent that as environmental regulations stimulate technical development, the superiority of human resources increases. The findings indicate that green financing reduces short-term lending, thus limiting clean energy overinvestment, while the long-term loans have little impact on renewable energy overinvestment, and the intermediary effect is unmaintainable. Meanwhile, the green financial growth will reduce renewable energy overinvestment and increase renewable energy investment productivity to certain amount.

Education is the basis for poverty eradication and economic growth. Education provides the aim of this research is to explore educational and other environmental, economic and social determinants on poverty. The aim of this study is to measure an econometric estimation to measure the role of education on poverty reduction. The model was estimated using time series data from 1980 to 2018, using the Engle-Granger two-step co-integration technique, to obtain the economic long-term and short-term dynamic characteristics of education in reducing poverty rate in this era. This model is used to test the hypothesis that how education can uplift the economic progress of the country. Education significantly reduces the level of poverty, whereas the role of higher education seems more significant tool for alleviating poverty. The public and monetary sectors incorporate institutional features with relevant policy actions, while foreign sectors, particularly the oil sector, represent interactions with the rest of the world. A series of policy scenarios influence the industry-wide model, which is used to evaluate the government's various options for increasing economic productivity, resulting in sustained acceleration of growth and poverty reduction in the South Asian economics.

This study measures the environmental regulation effect and pattern of carbon emission and energy efficiency through data envelopment analysis and econometric estimation. One of the most important ways to achieve a green transition is promoting technical progress through environmental regulation. Though China has witnessed rapid economic growth over the last two decades, the country can improve it further through adopting sustainable green energy and establishing more energy-efficient industries to strike a good balance between economic and social developments. The oil and carbon dioxide emission performances form the most important metrics. This study uses panel data from 30 Chinese provinces from 2008 to 2017 to assess the effect of environmental regulation on energy production. The nonradial directional distance function (NDDF) is used to measure the total factor energy efficiency index (TFEEI). The panel system GMM model, which can effectively address endogenous problems and regional variability, is utilized to research the nonlinear relationship between environmental regulations and EEI under various environmental regulations to study it. The findings reveal a considerably modest total average EEI amount for energy-intensive industries, averaging between 0.55 and 0.58, which is way below the ideal value (i.e., 1). Furthermore, the results of the dynamic panel data model revealed a significant U-shaped relationship between China's EEI and environmental regulation. The results show that as the values of market-based environmental regulations (MERs) and command and control environmental regulations (CCERs) exceed the corresponding levels, the impact of environmental regulation on the TFEEI increases gradually. This study will aid policymakers in better understanding the efficacy of different levels of environmental regulations to make more educated decisions.

PurposeThe purpose of this study is to examine the impact of green finance (i.e. green investment, green security and green credit) along with capital formation and government educational expenditures on the economic development of (ASEAN) countries.Design/methodology/approachThe data were gathered from the central banks of all ASEAN countries and the World Bank Indicators between 2008 and 2019. The fixed-effect model and generalized method of moments were used to check the nexus between the constructs.FindingsThe results revealed that green finance along with capital formation and government educational expenditures have a positive association with the economic development of ASEAN countries.Research limitations/implicationsThe study carries some limitations, even though it addresses the underlying variables comprehensively. These limitations provide opportunities to future researchers and authors to expand the scope and accuracy of their study. This research investigation has been supported by the data collected from a single source. Though data collection is maintained correctly, it is still recommended to the upcoming scholars to acquire data to reconfirm the same findings using multiple data sources. The data collected from using some specific data source may be limited in scope and may hinder the comprehensive elaboration of the underlying variables and their mutual relationship. Therefore, the utilization of multiple sources of data collection gives data sufficient to meet the requirement of an okay quality research study. The study is about the economies of ASEAN countries. It checks the influences of green finance development on economic activities and the country's economic growth in ASEAN countries' economies. Thus, its results are valid only in the economies of these countries, and this research investigation lacks generalizability. For generalizability, the authors must consider the underlying variables in the world's vast economies. They must adopt a standard scale to judge the impacts of green financial development on economic development. Besides, the study analyzes the economic factors, economic conditions and their effects on the country's position in the world economy in the face of a severe epidemic like COVID-19. Thus, the results may be different in the case of the normal situation. So, a general standardized study is recommended to be conducted in the upcoming days.Originality/valueGreen finance has significant capability to improve the global economy, especially amidst the COVID-19 pandemic. This study is beneficial for policymakers to develop policies related to economic development with reference to green finance and also helps future research on a similar topic.

This study aimed to study the impact of selected common organic solvents on extractable solids, phytochemical composition, and antioxidant capacity of S. chinensis. The results showed that the tested solvents played an important role in extraction of total solid and phytochemical composition as well as antioxidant capacity of S. chinensis. Acetone (50% v/v) was found to be the optimal extraction solvent for extractable solids (12.2%), phenolic compounds (60 mg GAE/g DW), flavonoids (100 mg CE/g DW), proanthocyanidins (47.4 mg CE/g DW), and saponins (754 mg EE/g DW) as well as antioxidant capacity (ABTS 334 mM TE/g DW, DPPH 470 mM TE/g DW, FRAP 347 mM TE/g DW, and CUPRAC 310 mM TE/g DW). The extract prepared from 50% acetone had high levels of bioactive compounds (TPC 555 mg GAE/g CRE, flavonoids 819 mg CE/g CRE, proanthocyanidins 392 mg CE/g CRE, and saponins 1,880 mg EE/g CRE) as well as antioxidant capacity (ABTS 414 mM TE/g, DPPH 407 mM TE/g, FRAP 320 mg TE/g, and CUPRAC 623 mM TE/g), thus further confirming that 50% acetone is the solvent of choice. Therefore, 50% acetone is recommended for extraction of phenolic compounds, their secondary metabolites, saponins, and antioxidant capacity from the root of S. chinensis for further isolation and utilisation.

This paper proposes a novel maximum power point tracking (MPPT) method inspired by the horse racing game for standalone photovoltaic (PV) power systems, such that the highest PV power conversion efficiency is obtained. From the horse racing game rules, we develop the horse racing algorithm (HRA) with the qualifying stage and final ranking stage. The MPP can be searched even if there exist multiple local MPPs for the PV power system. Moreover, from the proposed horse racing algorithm, the calculation is reduced, so that the transient searching points are less than traditional methods, i.e., the transient oscillation is less during the MPPT control. Therefore, the HRA based MPPT method avoids local maximum power traps and achieves the MPP quickly even if considering partial shading influence and varying environment for PV panels. Evidence of the accuracy and effectiveness of the proposed HRA method is exhibited by simulation results. These results are also compared with typical particle swarm optimization (PSO) and grey wolf optimization (GWO) methods and shown better convergence time as well as transient oscillation. Within the range from 0.34 to 0.58 s, the proposed method has effectively tracked the global maximum power point, which is from 0.42 to 0.48 s faster than the conventional PSO technique and from 0.36 to 0.74 s faster than the GWO method. Finally, the obtained findings proved the effectiveness and superiority of the proposed HRA technique through experimental results. The fast response in terms of good transient oscillation and global power tracking time of the proposed method are from 0.40 to 1.0 s, while the PSO and GWO methods are from 1.56 to 1.6 s and from 1.9 to 2.2 s, respectively.

Southeast Asia (SEA) climate shows a large range of variability scales, from extreme events to interannual variability. Understanding its answer to climate change is of primary scientific and socio-economic importance. IPCC 5th assessment report however pointed the lack of knowledge in regional climate change and its impact in SEA. In particular little is known about the answer of wind to climate change. The impact of climate change on sea surface wind speed is investigated here, examining changes in daily and extreme event scales, interannual variability and climatological average between the twentieth and twenty-first centuries. For that the RegCM4 regional model was used to perform a dynamical downscaling of CMIP5 simulations done with CNRM-CM5 global climate model under RCP4.5 and RCP8.5 hypothesis. Comparisons with QuikSCAT satellite data show that the downscaled simulations perform overall better than the global simulations. Both models produce regionally and seasonally contrasted results in terms of daily wind speed answer to climate change. Global simulations produce mostly weak and non-significant changes, only suggesting an intensification of northeast winter monsoon in the northern SEA. Conversely regional downscaled simulations suggest from March to November in the northern South China Sea and Pacific regions a significant weakening of wind speed from climatological to daily scales (summer monsoon to extreme values), for regions and periods of initially strong values, associated with a 40–50% decrease of tropical cyclones frequency. These changes result from the increase of mean meridional south to north sea level pressure gradient and decrease its daily variability.

This paper provides a new method to define a Euclidean common set of weights (ECSW) in data development analysis (DEA) that (1) allows ranking both efficient and inefficient firms, (2) is more realistic in terms of determination of weights, and (3) generates rankings for banks consistent with their credit ratings. We first use DEA to determine the efficient frontier and then estimate a common set of weights that can minimize the Euclidean distance between the firms and that frontier. This process is illustrated by a simple numerical example and is extended to a real-life situation using the Eurozone banking sector. Our ECSW approach outperforms other common set of weights approaches in both numerical and real-life examples, and in terms of providing rankings consistent with banks’ credit ratings.

Due to their different abilities to improve financial growth and improve social development, small and medium enterprises (SMEs) have been referred to as the economy’s backbone. Small- and medium-sized enterprises are crucial for both high- and low-income nations’ financial development. Customers grow more conscious of their purchase choices, preferences, and environmental consequences. The financial opportunities for SMEs in the United Arab Emirates to use green innovation methods to address potential obstacles for increasing green goods, processes, and management are examined in this paper; as a result, it is critical to reduce clean technology adoption constraints in small- and medium-sized businesses. To identify significant hurdles, sub-barriers, and ways to overcome impediments to green innovation in the United Arab Emirates, we apply an integrated decision process. Following a detailed literature analysis and the assistance of twelve experts, six primary obstacles, twenty-five sub-obstacles, and strategies to reduce the barriers were identified. Primary and sub-barriers were assessed using the FAHP. The (FTOPSIS) approach was used to rank the strategies. Five SMEs in the United Arab Emirates are putting the suggested integrated decision model to the test. “Financial investment levels 0.646 to 11 percent growth level,” according to the FAHP, are the most significant hurdles to SMEs adopting green practices. This research demonstrated a considerable beneficial association between SMEs and financial development and funding in the United Arab Emirates. According to this study, using research methodologies to provide green innovation in SMEs is the best strategy to overcome green innovation and adoption hurdles in small and medium firms and increasing their economics.

Background Artemisinin resistant Plasmodium falciparum has emerged in the countries of the Greater Mekong sub-region posing a serious threat to global malaria elimination efforts. The relationship of artemisinin resistance to treatment failure has been unclear. Methods In annual studies conducted in three malaria endemic provinces in the south of Vietnam (Binh Phuoc, Ninh Thuan and Gia Lai) between 2011 and 2015, 489 patients with uncomplicated P. falciparum malaria were enrolled in detailed clinical, parasitological and molecular therapeutic response assessments with 42 days follow up. Patients received the national recommended first-line treatment dihydroartemisinin-piperaquine for three days. Results Over the 5 years the proportion of patients with detectable parasitaemia on day 3 rose steadily from 38 to 57% (P < 0.001). In Binh Phuoc province, the parasite clearance half-life increased from 3.75 h in 2011 to 6.60 h in 2015 (P < 0.001), while treatment failures rose from 0% in 2012 and 2013, to 7% in 2014 and 26% in 2015 (P < 0.001). Recrudescence was associated with in vitro evidence of artemisinin and piperaquine resistance. In the treatment failures cases of 2015, all 14 parasite isolates carried the C580Y Pf kelch 13 gene, marker of artemisinin resistance and 93% (13/14) of them carried exoE415G mutations, markers of piperaquine resistance. Conclusions In the south of Vietnam recent emergence of piperaquine resistant P. falciparum strains has accelerated the reduced response to artemisinin and has led to treatment failure rates of up to 26% to dihydroartemisinin-piperaquine, Vietnam’s current first-line ACT. Alternative treatments are urgently needed.