Consumption Trends Research Articles

Environmental, Social and Governance (ESG) and Consumer Behavior: Trends Towards Conscious Consumption

Objectives: This study aims to investigate how ESG (Environmental, Social and Governance) contributes to consumer behavior so that they have conscious consumption trends and how ESG can define patters of consumer behavior and trend positively in the behavior relationship of consumption. Theoretical Framework: Contributes to the mapping of the evolution, quantity and journals that published the list of search strings from 2014 to 2024. Method: This qualitative study is a Systematic Literature Review that used Parsifal® Software for the process of choosing and refining articles, which resulted in 81 articles as a final sample. The databases consulted were Web of Science and Scopus accessed on March 5, 2024. “ESG and Sustainable”, “ESG and consumer behavior” and “ESG and conscious consumption” were used as search strings. Results and Discussion: Positive relationships are evident between ESG and consumer behavior for conscious consumption trends, when choosing products and/or services. The implementation of ESG in the company's business can improve the relationship with consumers of its product or service and lead to robust, conscious and lasting behavior. Research Implications: Contributes to the benefits, pillars and how to adopt conscious consumption, in addition to highlighting the relationships between ESG and conscious consumption and the influence of these factors to define consumer behavior patterns. Originality/Value: This study stands out for analyzing the relationship between the adoption of ESG standards and practices and verifying the trend towards conscious consumption arising from the adoption of ESG practices.

Responsible Consumption: Developing Sustainable Habits of Living for The Future

This study looks at consumer behavior in a variety of socioeconomic circumstances with regard to sustainable consumption trends and variables. The study highlights the importance of personal beliefs, sociocultural elements, and outside influences by using a mixed-methods approach to uncover subtle patterns in consumer choices. To comprehend the intricacies of sustainable consumption, the theoretical framework incorporates socioeconomic variables, environmental psychology, and marketing methods. To collect both quantitative and qualitative data, the study makes use of questionnaires, interviews, and content analysis. The results emphasize how business sustainability activities and education play a part in influencing sustainable customer behavior. According to the research, there are still issues that need to be resolved, such as the absence of uniform sustainability criteria and more robust governmental interventions. The results highlight the significance of comprehensive approaches incorporating business, policy-driven, and educational activities for a sustainable future.

Assessment of the impact of a “user generated” video in the communication of marine environmental threats

“User generated” content is a new popular type of content that shows potential in communicating information to younger age groups in new, creative ways. This study aimed to assess the impact of a “user generated” video in communicating about marine environmental threats, specifically to one hundred and fifty-one young adults enrolled in two different schools: a private higher education school, and a public university, both in the Lisbon metropolitan area (Portugal). The video’s impacts in the cognitive and emotional fields were assessed by comparing them to the impacts of an outreach text similar in content and duration of exposure. A pre-test/post-test methodology was used to evaluate short-term impacts, and a follow-up test was applied to gauge medium-term impacts. Additionally, short focus group sessions further explored topics such as media consumption preferences and trends. The results suggest that “user generated” video has a similar impact to an outreach text in the cognitive field, and a bigger impact in the emotional field when it comes to promoting positive emotions and feelings. Therefore, when used to its full potential, this type of media can be a suitable way to communicate about science and environmental topics, particularly marine environmental threats, and a valuable tool to raise public awareness.

Electricity user behavior analysis and marketing strategy based on internet of things and big data

This paper examines power user behavior and the design of marketing strategies, using a case study of Smart Community A. We explore how advanced analytical models are used to enhance energy efficiency and user services. First, we apply spectral clustering to refine user segmentation and identify distinct electricity consumption patterns among different groups. Then, the Hidden Markov Model (HMM) analyzes user behavior, uncovering shifts in consumption habits and enabling personalized service offerings. Next, the ARIMA model predicts electricity consumption trends, guiding grid scheduling and resource allocation. Based on these analyses, we develop targeted marketing strategies, such as dynamic pricing and energy-saving incentives, which boost user engagement and reduce energy usage. Through an IoT and big data-driven interactive marketing platform, we enhance user experience and foster a culture of energy conservation. Finally, a feedback mechanism ensures continuous improvement and maximizes the effectiveness of the marketing strategies.

Trends in Antimicrobial Consumption in Tertiary Care Hospitals in Costa Rica from 2017 to 2021: A Comparative Analysis of Defined Daily Doses per 100 Bed Days and per 100 Discharges.

Background: Antimicrobial consumption (AMC) data in Latin America are scarce and usually spread out across different sources used to make AMC calculations, making it difficult to both standardize and compare regions through similar time frames. The main objective was to analyze AMC trends in Social Security tertiary care hospitals in Costa Rica in the period spanning January 2017 to December 2021, using both the defined daily dose (DDD)/100 bed days and DDD/100 discharges. Methods: This is a retrospective observational study of antimicrobial consumption. Global consumption trends were calculated and expressed as DDD/100 bed days and DDD/100 discharges. Trends in antimicrobial consumption were analyzed using a simple linear regression model to determine potential differences in antimicrobial usage throughout the study's duration. Results: A statistically significant increase in the consumption expressed in DDD/100 discharges was observed in the following groups: carbapenems, 7.6% (trend: 64.68, p < 0.0001), trimethoprim-sulfamethoxazole: 12.6% (trend: 16.45, p < 0.0001), quinolones 9.4% (trend: 36.80, p = 0.02), vancomycin 2.0% (trend: 16.30, p = 0.03), echinocandins: 6.0% (trend: 15.17, p = 0.01) and azole antifungals: 12.10% (trend: 102.05, p < 0.0001). Additionally, a statistically significant increase of 10.30% in the consumption of azole antifungals expressed in DDD/100 bed days was observed (p = 0.0008). In contrast, a statistically significant decrease in consumption, expressed in DDD/100 discharges, was identified for cephalosporins -6.0% (p < 0.0001) and macrolides -16.5% (p < 0.0001). Macrolides also showed a downward trend in consumption, as expressed in DDD/100 bed days (-14.3%, p < 0.0001). According to World Health Organization (WHO) access, watch and reserve (AWaRe) classification trend analysis, only the reserve group showed a statistically significant upward change of 9.2% (p = 0.016). Conclusions: This five-year analysis demonstrated trends over time in overall antimicrobial consumption measured in DDD/100 bed days and DDD/100 discharge rates that correlate. In general, for all antimicrobials, after the implementation of antimicrobial stewardship programs (ASP), a downward trend is reported; in contrast, during the COVID-19 pandemic the AMC shows a general upward trend. The comparison between DDD/100 bed days and DDD/100 discharges allows for complementary comparisons to be made regarding antimicrobial exposure in a clinical setting.

Seaweeds and derived bioactive compounds as food alternatives: Current status and future perspective in Africa

The urgency for food security and diversification has necessitated extensive exploration of all potential food options. Seaweeds, now considered potential functional foods are widely consumed across Asia and parts of Europe. In Africa, reports on consumption trends and food-related applications are scarce. About only 1 % of the annually harvested ~120,000 (fresh weight) tonnes of commercially useful eucheumatoids are utilized locally in the continent's top-producing country, Tanzania. Ultimately, the intensification of current efforts shall promote up-scaling of the seaweed industry. In this review, we have discussed the nutritional profile and nutraceutical potential of commercially viable species, paying attention to consumer safety measures. Also, prospective food-related application of seaweeds based on current international and local African consumption trends is reviewed. The review further addresses factors that hinder consumer acceptance in Africa and the up-scaling of the seaweed industry at large. This review aims to provide some theoretical reference for future developments and application of seaweed as food in Africa.

The Infl uence of Trickster Behavior in the Media Space on the Dynamics of Cultural Industries

The trend of media consumption in recent years has been the sharp interest of the mass audience in communication and entertainment. This practice can also be traced in the dynamics of the development of cultural industries, where the emergence of new words (“blog”, “podcast”, “hashtag”, etc.) is noted. This indicates that the media continues to play a huge role in the production and preferences of certain cultural products. Under the infl uence of mediatization, there is a steady demand for behavioral models that, based on humor, irony or deception, contribute to changing the existing order. One of these models is trickster behavior. Such actions in the society of impressions are perceived as a form of entertainment. The purpose of this article is to attempt a philosophical understanding of such transformations in public consciousness and media consumption in the context of cultural and economic dynamics. My thesis is that the trickster, who is a universal archetypal fi gure immersed in a socio-cultural context, plays an important role both in mythology and in religion, culture, media, economics, and politics. It serves as a unifying principle in the process of forming the social memory of peoples, exposing the negative qualities of man and society, showing the level of existing values and morality. Sociocultural, semiotic, historiosophical, communicative and psychoanalytic approaches have been applied to the study of trickster behavior. As a result of the research, manipulative tactics used by tricksters in the media space have been identifi ed, which make it possible to implement a strategy of theatricality: in behavior and speech on the verge of “norm – outrageousness”, an unconventional vision of the situation, a reaction to the challenges of social reality, the introduction of new cultural mythologies into public consciousness. The infl uence of their actions on the formation of sociocultural stereotypes is noted. The study expands the understanding of trickster behavior through the prism of established trends in media consumption and reproduction of cultural products (movies, games, blogs, performances by media personalities, etc.). The relevance of the trickster model of behavior is justifi ed by the digitalization and mediatization of the space of human existence. Keywords: trickster, trickster behavior, cultural industries, archetype, cultural mythologies

Comparative Study of Energy Consumption Intensity: A Case Study of the Faculty of Electrical Engineering and Informatics (FEI) Versus the Faculty of Chemical Technology (FChT) in the City of Pardubice

Abstract The study’s comparative aspect between the Faculty of Electrical Engineering and Informatics (FEI) and the Faculty of Chemical Technology (FChT) buildings is pivotal for elucidating nuanced differences in energy consumption practices within academic institutions, facilitating targeted energy efficiency measures. The research methodology adopts a comparative case study approach to examine two focal research buildings. Analysis entails computing energy consumption intensity per unit area for both buildings and comparing energy consumption data to identify disparities. The need for understanding energy consumption patterns and improving energy efficiency in academic infrastructure is directly addressed through variables studied in the comparative analysis, including energy consumption comparison, annual and monthly variations, ratio, and intensity. The data indicates that the average heating intensity in the FChT building surpasses that of the FEI building by a factor of 2.3, signifying significant disparities in heating energy consumption trends between the two structures and suggesting potential areas for targeted energy efficiency interventions. Moreover, the average electrical intensity in the FChT building is over 1.7 times higher than in the FEI building. Interestingly, despite the FChT building being 2.6 times larger than the FEI, its intensity does not always correspond with the increase in building area, indicating additional factors influencing energy consumption.

Future pathways for green hydrogen: Analyzing the nexus of renewable energy consumption and hydrogen development in Chinese cities

Hydrogen energy offers a promising pathway for achieving zero-carbon urban energy consumption. This study quantitatively analyzes the patterns of hydrogen energy development and its linked to electricity consumption in China's urban areas. It investigates the spatial relationships between hydrogen energy expansion, the potential for green hydrogen production, and overall energy use. Utilizing a coupling coordination degree (CCD) model and a panel vector autoregressive (PVAR) model, the research explores the dynamic interactions between urban hydrogen energy development and the transition to renewable energy sources. In line with Chinese government policy, the study also conducts a scenario analysis of green hydrogen production by 2030, proposing a consumption strategy that balances environmental sustainability with economic growth. The key conclusions are as follows: (1) There is a spatial mismatch between the locations where hydrogen energy is being developed and where the potential for green hydrogen production is greatest. Cities with higher electricity consumption demonstrate stronger synergies in the coordinated development of hydrogen and renewable energy. (2) The development of hydrogen energy significantly accelerates the transition to renewable energy consumption in urban areas, with this impact being more substantial than that of the utilization capacity alone. (3) Hydrogen production in the Plan Scenario is significantly higher than in the Pessimistic Scenario, underscoring the critical importance of implementing renewable hydrogen projects in provinces with high production potential. Future trends in green hydrogen consumption at the provincial level indicate that addressing the challenges of efficient inter-provincial transportation of hydrogen energy remains essential.

Can the Phenomenon of Automobile Electrification be transformed into the Development Direction of the Automobile Industry?

Internationale Automobil-Ausstellung Show in 2023 just came to an end. In April, 2024, German Federal Chancellor Scholz led a huge business delegation to visit China (China Digital Space, 2024) Germany, which has always been proud of the automobile industry and technology, has caused a heated discussion about the development direction of the automobile industry from professional automobile media to online self-media[2]. As an international student studying advanced business management expertise in Germany, the author is curious about this changes. In particular, the latest media reports show that Apple has given up pushing forward the car-building project for nearly 10 years. Subsequently, Källenius, Chairman and CEO of Mercedes-Benz Group, also said that Mercedes-Benz would no longer adhere to the original goal of fully turning to electric vehicle sales in major markets by 2030. Previously, Mercedes-Benz's pursuit of motorization was fanatical. In 2021, Mercedes-Benz proposed an all-electric strategy. The goal is that the sales of all-electric and plug-in hybrid vehicles will reach 50% by 2025. Starting from 2030, Mercedes-Benz will be basically transform into an all-electric vehicle. These developments once again aroused the author's interest in whether motorization will become the development direction of the automobile industry. Hegel, a German philosopher, once pointed out in Science of Logic that existence is a phenomenon but it is not an illusion. Illusion corresponds more to existence, and phenomenon is higher than existence with richer connotation, because phenomenon contains its own reflection and reflection of other things, and phenomenon itself also has its own internal stability contradiction. Germany is a country of rational speculation, and the appearance of any phenomenon will not affect the Germans' thinking and exploration of its essence. Similarly, from the perspective of subjective feeling and rational analysis, this paper will try to discuss the change of German automobile consumption trends from the perspective of commercial marketing, and then prove the inherent logic of some industry behind the trend. With interest in learning and thinking, the author tried to drive a fuel-powered car and an electric car by himself. One is a German Mercedes-Benz GLC 300 manufactured and sold in China. This car is very popular among middle class consumers in China. Another model that I test drive is the M9, which was launched in the fourth quarter of 2023. It was jointly developed by Huawei, a network intelligent terminals supplier in China, Energy storage battery maker called Ningde Times and Seres Veicles. According to the report of China's mainstream media, China National Radio Network, on March 19,2024, the media once again held the top five positions of luxury brands with a weekly sales volume of 86,000 vehicles, and tried out two models. Another market factor is that the sales price of these two models are in the range of 500 thousand to 600 thousand RMB.

A Model of Alcohol Consumption with Semi-Markov Variable Coefficients

This paper focuses on the in-depth study of a stochastic approximation methodology involving semi-Markov switches in an averaging scheme with a minor parameter. We present a model where perceived objects are impacted by noise variables dependent on the semi-Markov process. The emphasis is on analyzing the convergence and stability of the stochastic approximation process within this context. Theoretical results are presented alongside numeric simulations, demonstrating the practical applications in managing complex stochastic systems. This work opens promising paths for the use of stochastic approximation approaches in the wider field of semi-Markov processes. Recognizing the mutable nature of alcohol consumption and its dependency on a variety of factors, we propose encoding such dynamism within a semi-Markov parameter structure. This model handles the patterns of individual alcohol consumption as a semi-Markov process; the transition probabilities between different states of alcohol consumption are directed by sociodemographic variables that change over time. Our approach, thus, bridges the gap between the realities of ever-changing alcohol consumption trends and static traditional Markov-chain models. By integrating real-world variables into our innovative model, we offer a cutting-edge analytical tool that lays down new paths for understanding and addressing the challenges with alcohol consumption patterns. Further, our insights have the potential to significantly impact the formulation of effective strategies and public health interventions aimed at alcohol-related harm reduction

IoT Sensor Network Electricity Consumption Behaviour Using ClusterAnalysis Algorithm for Network Environment

The Internet of Things (IoT) sensor network plays a crucial role in monitoring electricity consumption behavior by collecting real-time data from various connected devices. Utilizing cluster analysis algorithms, researchers can effectively segment and analyze consumption patterns within a network environment. By grouping similar usage behaviors, these algorithms reveal insights into energy efficiency, peak usage times, and anomalies in consumption. The paper presents a novel methodology for analyzing and classifying users' electricity consumption behavior, utilizing the Clustering Behavior Analysis Weighted Classification (CBAWC) algorithm. By leveraging cluster analysis techniques and weighted classification, the proposed approach allows for the segmentation of consumers into distinct clusters based on their consumption patterns. Through the application of CBAWC, the study provides insights into the diverse behaviors exhibited by consumers, ranging from moderate to high consumption levels, varied peak hours, and peak days. The classification results demonstrate the effectiveness of the algorithm in accurately assigning users to their respective clusters, enabling stakeholders to better understand consumption trends and tailor energy management strategies accordingly. Through the application of CBAWC, consumers are segmented into distinct clusters based on their consumption patterns. For example, clusters exhibit varying average daily consumption levels, with Cluster 1 consuming around 300 kWh, Cluster 2 consuming approximately 450 kWh, and Cluster 3 consuming about 280 kWh on average. Additionally, clusters display different peak hours per day and peak days per month. The classification results demonstrate the algorithm's effectiveness, with high accuracy scores ranging from 0.86 to 1.00 across different user groups.

Exploring the Nicotine-Parkinson's disease link – Insights from the UK Biobank

IntroductionEvidence suggests an inverse correlation between smoking and Parkinson's disease (PD), yet the mechanisms remain unclear. This study examines the changing risk relationship between smoking and PD diagnosis using alcohol consumption, another reward-driven behavior, as a comparative measure. MethodsA nested case-control study was conducted using the UK Biobank (UKBB) database. Participants in the prediagnostic phase of PD were identified, and self-reported data on tobacco and alcohol use were analyzed employing conditional binary logistic regression. Polynomial and piece-wise regression models were employed to discern shifting associations with PD over time. ResultsOf 502,304 participants (63 ± 5.3 years, 63 % male), 3049 prediagnostic PD cases were identified. Non-smokers had a heightened PD risk, and this association strengthened closer to diagnosis. The odds ratio (OR [95 % CI]) associated with PD in non-smokers was 2.02 [1.07–3.81] 1–4 years before diagnosis, compared to 1.36 [1.02–1.83] at >10-year intervals (linear trend, p = 0.012). The time trajectory of ORs was best depicted by a quadratic function, identifying a shift in risk 7.5 years before diagnosis documentation. Similar patterns emerged among alcohol non-consumers, with an 8.5-year interval inflection point. ConclusionThis study identified two disparate risk trajectories among non-smokers: an initial low-amplitude increased risk at prolonged prediagnostic intervals possibly related to genetic/personality factors, followed by a sharp escalation in risk association commencing 7–8 years before diagnosis, possibly propelled by reverse causality. Similar trends in alcohol consumption reinforce these conclusions. These findings could suggest that smoking cessation may serve as an early indicator of PD.

The regulatory mechanism of mannan from millet Huangjiu on flavor release

Huangjiu, the national wine of China, has the characteristics of low grain consumption, low alcohol content and high nutrition, which aligns with the world's beverage wine consumption trend. The research on glutinous rice huangjiu from southern China is more extensive, while millet huangjiu from northern China has received less attention, hindering the diversified development of huangjiu. Polysaccharides play an important role in huangjiu's health activity and flavor characteristics. In this study, the polysaccharide components in millet huangjiu were separated and identified for the first time, and the influence of polysaccharides on the flavor release was explored through sensory evaluation, SPME-GC–MS, threshold determination and isothermal titration calorimetry. The millet huangjiu polysaccharide HJ-1 was composed of →3)-α-Manp(1→, α-Manp-(1→, →2,6)-α-Manp-(1→, →3)-α-Xylp-(1→ and →3)-β-Arap-(1→. HJ-1 (0.1–1 mg/mL) could regulate the release performance of key flavor compounds in millet huangjiu, inhibit the herbal, fruity and alcoholic aromas, and promote the sweet and rice aromas. Further studies showed that HJ-1 formed complexes with ethyl acetate, acetic acid, 2,3-butanediol and γ-butyrolactone through van der Waals forces and hydrogen bonds, and the process was a spontaneous exothermic entropy reduction reaction. This study provides a new idea for optimizing the overall aroma of huangjiu and improving its sensory quality.

Fisheries management for food security in the Maldives

Purpose. The goal of the study was to assess trends in providing food security with a special emphasis on efficiency of the local fisheries and offer evidence-based improvements, which can improve resource management and protect disadvantaged population in the Maldives from nutrition insecurity aggravated by strong import dependency. Methodology / approach. The methodological basis of this study was a set of modern qualitative economic and quantitative mathematical methods including factor analyses, econometric and optimisation modelling. This approach ensured holistic research and reasonable recommendations on providing food security and maintaining efficient fisheries management compared to international experience and intrinsic aspects that determine a fish catch and consumption in the Maldives. Results. The conclusions of the paper relate to the further development of fisheries to combat the identified negative trends in domestic fish consumption and an unstable fish catch by atoll in the Maldives. The conducted factor analysis detected relationships between a fish catch, fishing trips, engaged vessels, fish species, and fishing methods. The study findings proved the optimal locations where it is advisable to establish additional fish storages and ice plants taking into account indicators of a poverty rate, a share of children, and a population density. The research conclusions allow the authors to state that the outlined scientific proposals can essentially improve food security in the Maldives, which is threatened by land shortage and overpopulation. Originality / scientific novelty. The scientific novelty of the work is in presenting a clarified picture of challenges that Maldivian fishermen face nowadays. The scientific novelty lies in the identification of weaknesses in fisheries management and the proposals of areas of potential growth that are crucial for ensuring food security not only on poor islands but for the whole country. Practical value / implications. The main practical value of the research results is the development of recommendations for increasing fish catch and organising post-harvest processing, which are vital for the Maldivian fishery, as it is the country's main export sector. In addition, the study contributes to food security in the Maldives through proposed interventions aimed at supporting the most disadvantaged populations in the scattered atolls.

Research on Construction of Offline Data Warehouse for Ship Shore Power based on DolphinScheduler and Hive

In today's networked, intelligent, and data-driven era, the shore power industry is facing the challenge of rapidly growing data. This paper presents the construction of a professional offline data warehouse system for shore power based on DolphinScheduler and Hive. Firstly, MySQL is adopted as the backend database, combined with Sqoop to synchronize business data to HDFS, ensuring data reliability and integrity. Secondly, the Flume-Kafka-Flume architecture is utilized to achieve real-time collection and caching of user behavior data, providing data support for subsequent analysis. Thirdly, HQL statements are written in Hive to clean, merge, and analyze shore power data, calculating key indicators such as electricity consumption and usage trends. Fourthly, data visualization is achieved through the integration of Superset, displaying data analysis results via a web interface. Fifthly, DolphinScheduler is employed for timed scheduling, ensuring dependency control among various tasks and the smooth operation of the project. This system fully leverages the replication mechanism of HDFS to enhance reliability, dynamically adds nodes to achieve system scalability, and fully utilizes the fault tolerance of the Yarn scheduler. It saves time and computational costs for the shore power industry, realizing higher value and benefits.

Dietary Shifts since COVID-19: A Study of Racial Differences.

The COVID-19 pandemic has fundamentally changed the quality and quantity of people's food consumption. This study aimed to explore the dietary shifts among different racial groups resulting from the COVID-19 pandemic, focusing on changes in consumption across various food categories. This cross-sectional study included a sample of 10,050 urban residents aged 40-100 years across the United States. Dietary patterns among African American, Asian, Hispanic, and White populations were assessed before and since the pandemic (retrospective condition) using the Dietary Screening Tool (DST). The DST investigates consumption trends in food groups aligned with the MyPlate guidelines, plus fat, sugar, and sweet (FSS) intake and processed meats. This study found significant shifts in food consumption patterns among racial groups since COVID-19. The data indicate that African American individuals largely reduced their consumption of several food groups compared to White individuals, with a 43% decrease in processed meats, 42% in dairy, 36% in lean protein, 21% in fruit, 17% in grains, and 15% in FSS, although their vegetable consumption did not significantly decrease. African American individuals also consumed 66% less processed meat, 57% less dairy, and 30% less lean protein in comparison to Asian individuals. Hispanic individuals also showed a tendency to reduce their consumption more than White individuals, with a 34% decrease in dairy, 28% in vegetables, and 24% in fruit. In contrast, Asian individuals consumed 37% less FSS and 34% less grains than White individuals. Additionally, when compared to Asian individuals, Hispanic individuals consumed 49% less dairy and 47% less processed meat. The findings also revealed that African American individuals were the most nutritionally vulnerable group since the pandemic. Specifically, they were 38% and 35% more likely to be considered at nutritional risk than Asians and White participants, respectively. These findings illuminate the considerable dietary shifts induced by the COVID-19 pandemic and emphasize the critical need to address the racial disparities in nutritional vulnerability and public health policy.

The dynamic nexus between economic growth, renewable energy use, urbanization, industrialization, tourism, green supply chain management, and CO2

Since 2012, China has pursued an “ecological civilization” policy to promote green energy, increase environmental protection, and transition to more sustainable growth models. The complicated positive trends in energy consumption, more sustainable economic growth, and ecological management are obscured by China's persistent, significant dependence on fossil fuels, particularly coal. The study aims to analyze how renewable energy use in China affects carbon dioxide emissions and how those impacts change over time, as well as urbanization, industrialization, tourism, and green supply chain management. The DOLS dynamic system method used historical data from 1995 to 2022. The DOLS results show a positive and statistically significant economic growth coefficient in the long term, suggesting that an increase of only one percent in CO₂ emissions rise would be proportional to a surge in economic growth.Furthermore, using renewable energy sources correlates with long-term sustainability negatively and significantly. The results show reducing CO₂ emissions and boosting renewable energy use by 1 %. Furthermore, the long-run coefficients for industrialization and urbanization are positive and statistically significant, indicating that a 1 % increase in either component results in a comparable increase in CO₂ emissions. Sustainable logistics and tourism have negative and statistically significant coefficients, meaning that a one percent increase will gradually decrease carbon dioxide emissions. The estimated findings hold up when using other estimators, such as the commonly used co-integrating regression (CCR) strategy and fully modified least squares (FMOLS). When Granger causality is coupled, the test also catches the variables' causal link. test. To achieve environmental sustainability, the essay suggests using robust regulatory policy tools to curb ecological deterioration.

A key factor in monitoring cannabis consumption trends through wastewater analysis: Partitioning of THC[sbnd]COOH between the liquid and solid phase of influent wastewater

Current wastewater-based epidemiology (WBE) studies are predominantly focused on the analysis of urinary biomarkers present in the liquid phase of influent wastewater (IWW). This approach systematically underestimates less polar metabolites, such as cannabis biomarkers. These biomarkers can potentially sorb to and desorb from suspended particulate matter (SPM) present in IWW. This study investigates the bidirectional partitioning of THCCOOH between the liquid phase and SPM of IWW by performing multiple sorption experiments using THCCOOH-D9 as a surrogate due to the unavailability of blank SPM and blank IWW. In addition, this study involves the analysis of IWW collected from eight wastewater treatment plants (WWTP) (n = 56) across four European countries, where raw IWW, the liquid phase and SPM were separately analysed to identify potential trends in the fraction of THCCOOH in the SPM between and withing the examined locations. Based on the performed sorption experiments, bidirectional partitioning of THCCOOH between the liquid phase and SPM was noted, showing partition between both phases when only one of the two phases was spiked. It was illustrated that the concentration of SPM had a notable influence on the THCCOOH partitioning between both phases. In addition to the inter location variability (average THCCOOH present in the SPM ranged 31–59 %), a substantial intra location variation was also observed, e.g., in one location ranged 17–58 %. While the determination of a correction factor for the amount of THCCOOH present in SPM would be ideal, this is challenging, since the amount of SPM is not fixed in all IWW samples. Although SPM has influence on the THCCOOH partition, no correlation (p value Spearman correlation = 0.3160) was observed between the SPM concentration and the fraction of THCCOOH in the solid phase. Moreover, the collection of homogenized samples is difficult, and the time required to reach an equilibration in partitioning of THCCOOH between both IWW phases remains unclear. Due to i) the large inter-and intra-location variation of THCCOOH present in the SPM, ii) the variability in SPM concentration in IWW samples, and iii) the time required to reach a partitioning equilibration, an analytical procedure based on liquid-liquid extraction (LLE) that considers both the liquid phase and SPM of IWW is recommended to reduce the overall uncertainty for THCCOOH measurement in IWW. It was illustrated that this extraction method is capable to recover the total concentration of THCCOOH in both phases.

Time Series Analysis to Estimate the Volume of Drinking Water Consumption in the City of Meoqui, Chihuahua, Mexico

Water is a vital resource for sustaining life and for numerous processes within the transformation industry. It is a finite resource, albeit one that can be renewed, and thus sustainable management is imperative. To achieve this objective, it is necessary to have the appropriate tools to assist with the planning policies for its management. This paper presents a time series analysis approach to measure and predict the pattern of water consumption by humans throughout subsectors (domestic, commercial, public sector, education, industry, and raw water) and total water consumption in Meoqui, Chihuahua, Mexico with data from 2011 to 2023, applying calibration model techniques to measure uncertainty in the forecasting. The municipality of Meoqui encompasses an area of 342 km2. The climate is semi-arid, with an average annual rainfall of 272 mm and average temperatures of 26.4 °C in summer and 9.7 °C in winter. The municipal seat, which has a population of 23,140, is supplied with water from ten wells, with an average consumption of 20 ± 579 m3 per user. The consumption of the general population indicates the existence of a seasonal autoregressive integrated moving average (SARIMA) (0,1,2)(0,0,2)12 model. (Sen’s Slope = 682.7, p &lt; 0.001). The domestic sector exhibited the highest overall consumption, with a total volume of 17,169,009 m3 (13 ± 93). A SARIMA (2,1,0)(2,0,0)12 model was estimated, with a Sen’s slope of 221.65 and a p-value of less than 0.001. The second-largest consumer of total water was the “raw water” sector, which consumed 5,124,795 (30,146 ± 35,841) m3 and exhibited an SARIMA (0,1,1)(2,0,0)12 model with no statistically significant trend. The resulting models will facilitate the company’s ability to define water resource management strategies in a sustainable manner, in alignment with projected consumption trends.