Agriculture plays an integral part in facilitating socioeconomic development in Nepal. However, it is also associated with environmental concerns which need to be controlled for the sake of ensuring environmental and agricultural sustainability in tandem. Against this backdrop, this current study aims to check whether shocks to the levels of agricultural productivity, land utilization for crop production, and fertilizer consumption influence the carbon dioxide emission figures of Nepal over the 1965-2018 period. The long-run associations between these variables are confirmed from the cointegration analysis. Besides, the outcomes from the asymmetric non-linear autoregressive distributed lag regression analysis show that crop productivity does not influence the emission levels in Nepal. However, a decline in the land area used for crop production purposes is evidenced to trigger higher emissions of carbon dioxide both in the short- and long run. On the other hand, higher fertilizer consumption is found to boost the short- and long-run carbon dioxide emission levels in Nepal. Accordingly, considering the objective of reducing agriculture-based emissions, this study recommends the Nepalese government to adopt policies that can enhance the productivity of low energy-intensive crop production, stimulate green agriculture and non-agriculture activities, and minimize the use of chemical fertilizers in arable lands.

Prenatal exposure to ambient air pollution has been associated with adverse perinatal outcomes in previous studies. However, few studies have examined the interaction between air pollution and the season of conception on term low birth weight (TLBW) or macrosomia. Birth registry data of singleton live births in Wenzhou, China, between January 2015 and December 2016 were accessed from the Wenzhou Maternal and Child Health Information Management platform, and data on the ambient air pollutants in Wenzhou were obtained from the Chinese Air Quality Online Monitoring and Analysis Platform. Single-/two-pollutant binary logistic regression models were used to assess the associations between ambient air pollutants (PM₂.₅, PM₁₀, NO₂, SO₂, and O₃) and TLBW/macrosomia, further exploring whether the season of conception interacts with air pollution to impact birth weight. Finally, 213,959 term newborns were selected, including 2452 (1.1%) infants with TLBW and 13,173 (6.1%) infants with macrosomia. In the single-/two-pollutant models, we observed an increased risk of TLBW associated with maternal exposure to PM₂.₅, PM₁₀, SO₂, and NO₂ during the entire pregnancy, especially in the 2nd trimester. Maternal exposure to O₃ during the 1st trimester was associated with increased macrosomia risk, and O₃ exposure during the 3rd trimester was associated with increased TLBW risk. Pregnant women who conceive in the warm season may experience a more adverse ambient air environment that is related to the risks of TLBW. These findings add to the evidence suggesting that air pollution and the season of conception may have synergistic effects on adverse perinatal outcomes, especially TLBW. Further prospective cohort studies are needed to validate our results.

The increasing intensification of the aquaculture industry requires the development of new strategies to reduce the negative impacts of wastewater on the environment. Plant-based coagulants/flocculants, regarded as one of the environmentally friendly technologies for wastewater treatment, show good performance in the removal of suspended solids from wastewater. The aforementioned technology involves the utilization of plants as coagulants/flocculants in the treatment process and produces nontoxic sludge as treatment by-products. The produced sludge could be converted into valuable compounds used in agriculture. This review summarizes coagulation–flocculation by using plant-based coagulants/flocculants, its mechanisms, operational factors that control the treatment process, and its application in the treatment of wastewater, especially aquaculture effluent. Moreover, this work discusses the potential utilization of aquaculture sludge as a valuable compound used in agriculture. The presented review aims to emphasize the potential of using plant-based coagulants/flocculants in the treatment of aquaculture effluent and explore the potential of using the produced sludge as fertilizer for plants to solve problems related to sludge handling and the toxicity of inorganic coagulants in a recirculating aquaculture system. This paper concluded that utilization of recovered nutrients in the form of solids is feasible for agricultural purposes, while a hydroponic system can be used to reclaim the nutrients in the form of solution.

India is predominantly a fossil fuel-intensive South Asian country that has traditionally settled for higher economic gains at the expense of lower environmental quality. However, in the contemporary era, it has become essential for India to come up with viable solutions that can enable the nation to transform its economy into a low-carbon one. Although replacing fossil fuel use with renewable energy sources is assumed to be the ideal pathway to decarbonizing the Indian economy, achieving this clean energy transition involves a long-term process. Thus, the Indian government should rather consider adoption of interim solutions to the environmental pollution problems faced by the nation. Against this backdrop, this study looks at whether enhancing the consumption level of liquefied petroleum gas, a relatively cleaner fossil fuel, can help India reduce its carbon dioxide emissions figures and attain environmentally sustainable economic growth. The econometric analysis is designed as per the theoretical framework of the environmental Kuznets curve hypothesis whereby the effects of economic growth on carbon dioxide emissions are examined controlling for liquefied petroleum gas consumption in the context of India between 1990 and 2018. Based on the findings from the autoregressive distributed lag model bounds test analysis, it is witnessed that there are long-run cointegrating relationships among per capita levels of carbon dioxide emissions, real gross domestic product, and liquefied petroleum gas consumption of India. Besides, the environmental Kuznets curve hypothesis is found to be valid only in the short run; however, it does not sustain in the long run since the economic growth-carbon dioxide emissions nexus is observed to follow a U-shaped relationship in the long run. Moreover, higher liquefied petroleum gas consumption is found to boost carbon dioxide emissions in the short run while reducing it in the long run. Furthermore, the findings from the wavelet and partial wavelet coherence and causality analyses also advocate in favor of promoting the use of liquefied petroleum gas in India in order to significantly curb the energy use-related carbon dioxide emission figures of the nation. Hence, considering these important findings, this study recommends that the Indian government should design policies for augmenting liquefied petroleum gas into the national energy mix and also adopt relevant green economic growth strategies in order to facilitate environmentally-sustainable growth of its economy.

Heavy metal pollution in the environment compromises environmental quality and human health. Phytoremediation is an innovative, green, and affordable technique that uses plants for the removal of contaminants from soil and water. Finding suitable plants that can adequately remove heavy metals from both soil and water has been a research hotspot in recent years, and there has been a rapid development in research on the use of high biomass producing crops for this purpose. Vetiver grass and Indian mustard have emerged as plants that are effective for phytoremediation and can serve other purposes during and after their use in phytoremediation. These plants are applicable in many areas because they can tolerate varied climatic conditions, thrive on degraded lands and contaminated water bodies, are easy to cultivate, and produce high biomass. This review article evaluates the phytoremediation potential of vetiver grass and Indian mustard by providing a synthesis of studies that have investigated their use for this purpose. The review considered research articles from the past 21 years and highlights the status and possible advancements in the efficient use of these plants for the remediation of heavy metal–contaminated sites. This work is of importance because phytoremediation is still undergoing immense research to promote its applicability and acceptability. Thus, it gives information on two important plants that are very useful for phytoremediation.

Digital finance as a new technology-driven business model shortens the distance between borrowers and lenders. Economic research finds that digital finance promotes economic efficiency by reducing transaction costs, information asymmetry, and inequality. Digital finance is an energy-intensive industry; therefore, increased efficiency in the industry should yield environmental benefits. We examine the externality of digital finance on air pollution. By analyzing data on digital financial inclusion and fine particulate matter concentration in China, we demonstrate using a dynamic panel data model that the development of digital finance damages the environment. However, after incorporating a threshold effect into a kink model, we determine that digital finance reduces pollution when its development exceeds a certain level. The results suggest that a high level of digital finance development not only increases economic growth but also improves air quality; this result provides novel insight into the relationship between economic growth and the environment.

Long-term excessive use of chemical fertilizer has led to water environmental degradation. Reducing chemical fertilizer use in crop production has become a consensus, and the effects of chemical fertilizer reduction on yield, water consumption and water environment urgently need to be explored. A field experiment including four fertilization treatments: normal fertilizer application (NFA), 15%, 30% and 45% fertilizer reduction (FR) was conducted and the water footprint (WF) was used as an indicator to explore how the chemical fertilizer reduction affected the maize WF. The results showed that the blue, green and total WFs of maize in the 45% FR and NFA treatments were larger than those in the 30% FR and 15% FR treatments in 2018 and 2019. The grey WFs of maize in the NFA treatment were the highest in 2018 and 2019, exhibiting a trend that the grey WFs in the NFA treatment >15% FR treatment >30% FR treatment >45% FR treatment in 2018 and those in the NFA treatment >45% FR treatment >30% FR treatment >15% FR treatment in 2019. The optimal treatment was the 15–30% FR compared with the current fertilization, in which the total WF of maize can be minimized and the maize yield can be maximized at the same time. Precipitation had a wide-ranging impact on the yield and WF of maize, especially the amount, intensity and interval of rainfall, which had an evident impact on the grey WF. This study is expected to provide a data foundation for reducing chemical fertilizer and improving water and fertilizer use efficiency in maize production.

Using data from Chinese industrial firms from 2003 to 2012, this paper utilizes a difference-in-differences approach to investigate the impact of stringent command-and-control environmental regulations on firm productivity through Chongqing’s daily penalty policy (DPP). Unlike the previous command-and-control environmental regulations of “low penalty amounts”, “one-size-fits-all”, and “one-off penalties”, the DPP with “high deterrent effect” and “high cost of non-compliance” imposes continuous high fines of a fixed daily amount on persistent environmental violators. This is conducive to improving environmental quality while significantly increasing firms’ total factor productivity (TFP). It provides empirical evidence for the validity of the strong Porter hypothesis in developing countries. A series of robustness tests ensure the credibility of these findings. The mechanism analysis shows that DPP can improve TFP of firms by stimulating the innovation compensation effect of firms and crowding out high polluting and inefficient firms in the industry. Heterogeneity analysis shows that the productivity of highly polluting, private, non-exporting and small-scale firms is significantly increased under the influence of DPP. This study provides new ideas for improving command-and-control environmental regulation to bring into play its Porter effect, and offers experiences and insights for regulating firms’ emission behaviors to achieve a win–win situation for both economic growth and green development.

There is a great demand for the endogenous development of green finance in the new era. Green bankers can boost the supply of such growth based on bankers’ spirit and green feelings. Apart from the common features of entrepreneurship, bankers’ spirit also has some distinctive qualities, including rationality in innovation, awareness of risk management, and social responsibility. Moreover, green bankers possess a special feature—green feelings. They are committed to green finance and are sensitive enough to seize the business opportunities in it. Green bankers can contribute actively to the development of green financial services by grasping prospective development opportunities, implementing product innovation and institutional innovation, and building social networks and cultivating green culture. However, there is insufficient motivation for the development of bankers’ spirit and green feelings in China, and administrators also play a negative role in the cultivation of green bankers. Therefore, it is necessary to cultivate green bankers progressively. First, those with bankers’ spirit are supposed to become bankers. Second, bankers’ green feelings are cultivated. Third, the incentive and restraint mechanisms should be established and improved. Finally, an external environment conducive to the development of green bankers is created.

Achieving simultaneous determination of antibiotic multiresidues in environmental waters by solid phase extraction (SPE) coupled with ultra-high-performance liquid chromatography tandem mass spectrometry (UHPLC–MS/MS) with detection limits ≤ ng L⁻¹ is still a huge challenge. Moreover, the offline SPE procedure was performed manually, costly, and time-consuming, while the online SPE required precision pretreatment instruments that require highly-skilled personnel. In this paper, a fully automated SPE coupled with UHPLC–MS/MS method was developed for analysis of antibiotics (sulfonamides, quinolones, and macrolides) in water matrices. Sample preparation optimization included SPE materials and configuration (HLB disks), sample volume (500-1000 mL), and pH (pH = 3) with a flow rate at 2~5 mL min⁻¹, and an elution procedure with 2 × 6 mL methanol, and 2 × 6 mL acetone. Meanwhile, the parameters for UHPLC-MS/S detection of analytes were optimized, including LC retention time, and MS parameters. The instrumental limits of detection (LOD) and quantification (LOQ) of analytes ranged from 0.01-0.72 μg L⁻¹ and 0.05-2.39 μg L⁻¹, respectively, with satisfactory linear calibration (R² > 0.995) and precision (< 9.9%). Recoveries in spike samples ranged between 77.5-104.9% in pure water, 59.4-97.8% in surface water (SW), and 58.2-108.6% in wastewater effluent (WWE) with relative standard deviations ≤ 12.8%. The matrix effects observed for most analytes were suppression (0-28.1%) except for five analytes having presented enhancement (0-14.6 %) in SW or WWE. This method can basically meet the needs of trace antibiotic residues detection in waters, with examples of concentrations of detected antibiotics being lower than LOQ (LLQ) -94.47 ng L⁻¹ in WWEs and LLQ-15.47 ng L⁻¹ in SW in the lower reaches of the Yangtze River Basin.