Consumption Trends Research Articles

Spatio-temporal variations of energy carbon emissions in Xinjiang based on DMSP-OLS and NPP-VIIRS nighttime light remote sensing data.

With the rapid economic development of Xinjiang Uygur Autonomous Region (Xinjiang), energy consumption became the primary source of carbon emissions. The growth trend in energy consumption and coal-dominated energy structure are unlikely to change significantly in the short term, meaning that carbon emissions are expected to continue rising. To clarify the changes in energy-related carbon emissions in Xinjiang over the past 15 years, this paper integrates DMSP/OLS and NPP/VIIRS data to generate long-term nighttime light remote sensing data from 2005 to 2020. The data is used to analyze the distribution characteristics of carbon emissions, spatial autocorrelation, frequency of changes, and the standard deviation ellipse. The results show that: (1) From 2005 to 2020, the total carbon emissions in Xinjiang continued to grow, with noticeable urban additions although the growth rate fluctuated. In spatial distribution, non-carbon emission areas were mainly located in the northwest; low-carbon emission areas mostly small and medium-sized towns; and high-carbon emission areas were concentrated around the provincial capital and urban agglomerations. (2) There were significant regional differences in carbon emissions, with clear spatial clustering of energy consumption. The clustering stabilized, showing distinct "high-high" and "low-low" patterns. (3) Carbon emissions in central urban areas remained stable, while higher frequencies of change were seen in the peripheral areas of provincial capitals and key cities. The center of carbon emissions shifted towards southeast but later showed a trend of moving northwest. (4) Temporal and spatial variations in carbon emissions were closely linked to energy consumption intensity, population size, and economic growth. These findings provided a basis for formulating differentiated carbon emission targets and strategies, optimizing energy structures, and promoting industrial transformation to achieve low-carbon economic development in Xinjiang.

Fruit Frenzy: Evolving Consumption and Demand Trends in South India

Fruit Frenzy: Evolving Consumption and Demand Trends in South India

The Influence of Instagram Reels on Content Consumption Trends among Gen Z

The Influence of Instagram Reels on Content Consumption Trends among Gen Z

Changes in Alcohol Intake by Educational Level among Older Men and Women in Spain during the 21st Century

Abstract Background and objectives Despite alcohol use being very common in older adults, studies are scarce and suggest alcohol use may be increasing. Furthermore, despite the known relationship between education and alcohol consumption, there is limited evidence of educational differences in older adults. Our objective was to describe trends in alcohol consumption in individuals aged ≥65 by sex and educational level in Spain. Research design and methods 43,157 participants aged ≥65 years were drawn from Spain’s national health surveys between 2001-2020, representing the non-institutionalized population. The outcomes were various measures of self-reported past-year alcohol intake. Age-standardized rates and negative binomial regression models were used to examine trends and differences in alcohol intake by educational level, sex, and period (2001-2009 vs. 2011-2020). Results The average daily alcohol intake and prevalence of heavy average drinking (>20/10 g/day) decreased over time, especially among men, while moderate average drinking remained unchanged or even increased. Alcohol intake increased with increasing educational levels. All drinking measures showed educational inequalities, and these were greater in women than men. The mean amount of drinking showed the greatest inequality, with and adjusted prevalence ratio of 2.6 in women and 1.1 in men between university relative to primary education level. Discussion and implications Alcohol intake in older adults decreased over time in Spain for heavy average drinking and average drinking amount, although not for moderate average drinking. Consumption remains highest among the highest educational levels, which may negatively affect health. Programs addressing alcohol consumption among older adults are needed to minimize alcohol-related harm.

Predicting China’s Energy Consumption and CO2 Emissions by Employing a Novel Grey Model

The accurate prediction of China’s energy consumption and CO2 emissions is important for the formulation of energy and environmental policies and achieving carbon neutrality. This paper proposes a new weighted error evaluation criterion that emphasizes the importance of new data, thereby enabling more accurate capture of the variation characteristics of new data and reflecting the principle of new information priority. By optimizing the development coefficient, grey action, and parameters in the time response formula of the traditional GM(1,1), a novel optimized model, OGMW(1,1), is constructed. The accuracy of the new model is verified by three cases from the literature. The future trends of primary energy, oil, and coal consumption and CO2 emissions in China are predicted over the next five years. The conclusions are as follows: First, the new weighted error evaluation criteria are effective and reasonable and can indicate whether a grey model can reliably use the most recent information for modeling. Second, based on the new error evaluation criteria, the development coefficient, ash action, and parameter C in the time response function can be optimized. The results show that the optimization method is reasonable. Third, compared with the traditional models GM, GMO, and ARIMA, the OGMW(1,1) provides better simulation and prediction accuracy, and new information can be prioritized more effectively. Fourth, the forecasting results indicate that China will increase its consumption of primary energy, oil, and coal, as well as its CO2 emissions. Notably, the growth rates of primary energy and oil consumption are high at approximately 22.7% and 25%, coal consumption will increase slightly, and CO2 emissions will increase by approximately 11%.

How Food Consumption Trends Change the Direction of Sheep Breeding in China.

This paper discusses how food consumption trends have influenced the direction of sheep and goat breeding, particularly concerning the shift in sheep and goat farming and the development of the Hu sheep industry in China. Historically, sheep have been bred primarily for wool production, but with the increased demand for meat, the breeding direction has begun to shift toward meat use. As a major producer and consumer of mutton and goat meat, there is room for development of the meat sheep industry in China. In this paper, we review the development of China's sheep breeding industry before and after the reform and the change in breeding objectives through examples, summarize the factors causing breeding changes in China's sheep breeding industry, introduce the breeding achievements of the Hu sheep after its shift to meat use, analyze the reasons as to why this breed was selected by a vast number of farmers, and reveal the current decisive traits in the development of the meat sheep industry. This article also shows the improvement in Chinese people's consumption abilities and the change from sheep breeding to consumption, providing China's development experience as an example for today's regions lagging in the global livestock industry. Breeding to respond positively to changes in the economy can better cater to the consumer food market.

Energy Consumption Trends and Determinants in Polish Hospitals: Implications for Energy Efficiency Strategies

In the construction sector, hospitals are the buildings with the highest energy consumption. Due to the high demand for energy, hospitals’ energy efficiency is becoming very important. This study aims to examine the trends and factors that determine energy consumption in Polish hospitals from 2010 to 2019, highlighting the impact of hospital size and medical activities on energy efficiency. The analysis was carried out using data from 3061 hospital reports obtained from the e-Health Center, a state budgetary unit established by the Minister of Health. To measure and compare the efficiency of energy usage in hospitals, we developed eight energy usage efficiency indexes based on hospital size and medical activity. The size of the hospitals was described by the number of beds, operation rooms, doctors, nurses, and fixed assets value. Hospital activity was measured by the number of person-days, patients, and operations. Statistical analysis was carried out using StatSoft Statistica software version 13.3. The results show that larger hospitals are more energy efficient across various measures of energy use than smaller hospitals. The findings revealed also several important relationships between energy usage and factors connected with size and hospital activity, such as the number of beds, patients and person-days, medical staff, operations, and fixed asset values, underscoring the necessity for customizing energy efficiency strategies. This research contributes empirical insights that can guide policymakers and hospital administrators in their endeavors to improve energy efficiency and promote sustainability within healthcare facilities.

SUSTAINABLE GROWTH THROUGH GREEN ECONOMY: AN ECONOMETRIC ANALYSIS

Objective: In recent years, the growing interest and awareness of environmental issues have once again brought the issue of population growth to the forefront, exerting significant pressure on production. The increased pressure on production and the resultant rise in production have led to a faster trend in consumption. As a natural consequence of both trends, detrimental effects on ecological balance and the environment have begun to emerge. The concept of "green economy" has emerged as an approach to restore the disrupted ecological balance and operationalize this order. This widely spreading concept has begun to generate significant policies at both national and international levels. Method: This study aims to examine the relationship between renewable energy production, consumption, wastewater, and solid waste data, covering the years 1980-2022, using econometric methods to explore the relationship between green economy and economic growth in the context of Turkey. The objective is to analyze the impact of the recent and rapidly increasing transformation towards "green economy" on the long-term trajectory of economic growth in Turkey. Result and Discussion: Based on the findings of the study, it has been determined that, at the 0.05 level of statistical significance, there is no long-term relationship between the variables and economic growth, as well as no long-term significant relationship between any of the variables. When the statistical significance is accepted at the 0.10 level, a significant long-term relationship is identified between the amount of wastewater and renewable energy, with a 1% increase in wastewater leading to a 0.82% increase in renewable energy. Implications: The findings of this study and the transformation towards a green economy, widely covered in the literature, have been recognized in Turkey and an unnamed green transformation movement has begun. As the results of the analysis of the study indicate, the policies introduced for the transition to a green economy and transformation efforts have a positive and significant impact on economic growth in the long term, but the same cannot be claimed for the short term, but in the future, advances in scientific and technological progress and over-specialization will inevitably have positive consequences on global and domestic sustainable development in the short term. Originality/Value: The distinctive feature of this study from similar studies in the literature is that the relationship between the green economy and sustainable growth was analyzed empirically and with five separate econometric models. Recommendations: Turkey needs serious reforms in education in its transition to a green economy. In addition, there is a need for political determination to use environmentally friendly sectors that are more open to innovation and competition, such as renewable energy and green building sectors.

Estimation of Regional Electricity Consumption Using National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite Night-Time Light Data with Gradient Boosting Regression Trees

With the rapid development of society and economy, the growth of electricity consumption has become one of the important indicators to measure the level of regional economic development. This paper utilizes NPP-VIIRS nighttime light remote sensing data to model electricity consumption in parts of southern China. Four predictive models were initially selected for evaluation: LR, SVR, MLP, and GBRT. The accuracy of each model was assessed by comparing real power consumption with simulated values. Based on this evaluation, the GBRT model was identified as the most effective and was selected to establish a comprehensive model of electricity consumption. Using the GBRT model, this paper analyzes electricity consumption in the study area across different spatial scales from 2013 to 2022, demonstrating the distribution characteristics of electricity consumption from the pixel level to the city scale and revealing the close relationship between electricity consumption and regional economic development. Additionally, this paper examines trends in electricity consumption across various temporal scales, providing a scientific basis for the optimal allocation of energy and the effective distribution of power resources in the study area. This analysis is of great significance for promoting balanced economic development between regions and enhancing energy efficiency.

Barriers to implement energy efficiency strategies to heating, ventilation, air conditioning of airside system in commercial buildings in Sri Lanka

At present, debates on climate change, fossil fuel depletion, and energy saving highlight the need for a sustainable built environment to reduce energy consumption and emission trends. The Heating, Ventilation, and Air Conditioning (HVAC) system is a priority due to its significant share of a building’s electricity consumption. While energy efficiency strategies for central air conditioning systems focus on both waterside and airside components, implementing airside efficiency strategies is notably lacking in Sri Lanka. This is a concern because airside inefficiencies lead to excessive energy use, higher operational costs, and compromised indoor air quality. Thus, the study aims to address this gap by identifying the barriers to implementing energy efficiency strategies for HVAC airside systems in Sri Lankan commercial buildings. To explore these barriers, a qualitative research approach was employed, involving interviews with 17 industry experts. The study identified 27 barriers, with key barriers being a lack of technical expertise, rapid technological advancements, misalignment with organisational objectives, limited financial resources, inadequate training and technical knowledge, and insufficient regulatory support. The insights gained from this study can assist industry professionals in enhancing HVAC energy performance and encourage further academic research on this sub-branch of HVAC systems in the Sri Lankan context.

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.