37 datasets found
  1. T

    China Consumer Spending

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). China Consumer Spending [Dataset]. https://tradingeconomics.com/china/consumer-spending
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1952 - Dec 31, 2024
    Area covered
    China
    Description

    Consumer Spending in China increased to 538646.10 CNY Hundred Million in 2024 from 512120.60 CNY Hundred Million in 2023. This dataset provides - China Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. Data collection on 630 Chinese consumers shopping online.docx

    • figshare.com
    xlsx
    Updated Jun 19, 2023
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    晓丫 苏; SU XiaoYa (2023). Data collection on 630 Chinese consumers shopping online.docx [Dataset]. http://doi.org/10.6084/m9.figshare.23541558.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 19, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    晓丫 苏; SU XiaoYa
    License

    https://www.gnu.org/licenses/gpl-2.0.htmlhttps://www.gnu.org/licenses/gpl-2.0.html

    Description

    There is a significant positive effect of consumers' perceived usefulness and perceived ease of use on purchase intention; there is a significant positive effect of courier service and social evaluation during consumption on perceived usefulness and perceived ease of use, but there is no significant positive effect of information promotion on consumption intention, and there is a significant positive effect of information promotion on consumers' purchase behaviour; there is a significant positive effect of product promotion on both consumers' consumption behaviour and consumption intention

  3. Consumer Trends Analysis: Understanding Consumer Trends and Drivers of...

    • store.globaldata.com
    Updated May 1, 2014
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    GlobalData UK Ltd. (2014). Consumer Trends Analysis: Understanding Consumer Trends and Drivers of Behavior in China’s Bakery & Cereals Market [Dataset]. https://store.globaldata.com/report/consumer-trends-analysis-understanding-consumer-trends-and-drivers-of-behavior-in-chinas-bakery-cereals-market/
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    Dataset updated
    May 1, 2014
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2014 - 2018
    Area covered
    Asia-Pacific
    Description

    China’s Bakery & Cereals market is the largest market worldwide by volume Quality is the primary driver of the Bakery & Cereals market, motivating over two-fifth of consumption Pre-Mid-Lifers are the key consumers of Bakery & Cereals products in China Chinese consumers select Bakery & Cereals based on their ability to meet life stage related needs. Read More

  4. Education level of Generation Z in China 2024

    • statista.com
    Updated Nov 21, 2024
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    Statista Research Department (2024). Education level of Generation Z in China 2024 [Dataset]. https://www.statista.com/topics/9889/gen-z-consumers-in-china/
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    Dataset updated
    Nov 21, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    China
    Description

    According to a survey conducted by Statista Consumer Insights, more than two thirds of Generation Z respondents above 18 years in China had obtained a bachelor's or higher degree as of September 2024. Thanks to the mandatory education policy in China, all surveyed Generation Z had completed their education at high school.

  5. The analytical overview of the variables pertinent to consumer behavior in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Dec 16, 2024
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    Sheng Yuan; Wei-Lun Huang; Zhihan Chen; Hengbin Yin (2024). The analytical overview of the variables pertinent to consumer behavior in the context of foreign films and TV series. [Dataset]. http://doi.org/10.1371/journal.pone.0314416.t002
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    xlsAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sheng Yuan; Wei-Lun Huang; Zhihan Chen; Hengbin Yin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The analytical overview of the variables pertinent to consumer behavior in the context of foreign films and TV series.

  6. Perdictive features of repurchase behavior of E—Commerce consumer.

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Weiwei Zhang; Mingyan Wang (2023). Perdictive features of repurchase behavior of E—Commerce consumer. [Dataset]. http://doi.org/10.1371/journal.pone.0255906.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Weiwei Zhang; Mingyan Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Perdictive features of repurchase behavior of E—Commerce consumer.

  7. Impact of social media influencers on purchasing in China 2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Impact of social media influencers on purchasing in China 2023 [Dataset]. https://www.statista.com/statistics/1200644/china-influencers-impact-on-purchasing/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 11, 2023 - May 31, 2023
    Area covered
    China
    Description

    In China’s fast-evolving digital landscape, social media influencers, or "key opinion leaders" (KOLs), have become integral to shaping consumer purchasing behavior. According to a consumer survey conducted by Rakuten Insight among Chinese consumers in May 2023, about ** percent of respondents who had followed at least one influencer on social media said that they had purchased the products endorsed by the KOL. Female respondents were slightly more likely to fall into the influence. The intricate elements of trust and authenticity One of the key reasons KOLs have such a profound impact is the deep trust they foster with their followers. Unlike traditional celebrities, influencers often engage with niche audiences through personalized content, creating a sense of authenticity and community. Followers view their product recommendations as genuine, making them more likely to purchase products ranging from clothing to electronics. Varying impact of endorsements These influencers wield significant power over their followers. The endorsement effects could differ by gender in terms of product categories; while KOL recommendations on cosmetics items appeared to be more effective among female shoppers, promotions on consumer electronics often resonated better among male buyers. The same survey also revealed that about ** percent of Chinese consumers would not mind spending more for a collaboration product between a brand and an influencer.

  8. f

    Data_Sheet_1_Drivers of consumers’ intention to adopt sustainable healthy...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Jan 22, 2024
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    Jiang, Xue; Wu, Linhai; Chen, Xiujuan (2024). Data_Sheet_1_Drivers of consumers’ intention to adopt sustainable healthy dietary patterns: evidence from China.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001400858
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    Dataset updated
    Jan 22, 2024
    Authors
    Jiang, Xue; Wu, Linhai; Chen, Xiujuan
    Area covered
    China
    Description

    IntroductionIn line with the shift towards sustainable consumption, sustainable healthy dietary patterns (SHDP) have received considerable attention, but no study has examined Chinese consumers’ intention to adopt SHDP.MethodsBased on the theory of planned behaviour (TPB), this study integrated health consciousness, environmental concerns, and past eating behaviour to construct an expanded TPB framework for analyzing the factors influencing Chinese consumers’ intention to adopt SHDP. The mediating role of attitude between perceived value and consumers’ intention to adopt SHDP was also analyzed. The study empirically tested the research model using structural equation modelling estimation, based on the data collected from 402 local consumers in Wuxi, China.Results and discussionThe results showed that attitude, perceived behavioural control, health consciousness, and past eating behaviuor positively and significantly influenced consumers’ intention to adopt SHDP, whereas perceived value indirectly influenced adoption intention through attitude. Subjective norms and environmental concerns had no significant influence on adoption intention. Based on these findings, interventions through dietary education and information campaigns are recommended to enhance consumers’ value awareness and attitudes towards SHDP. Interventions, such as nudging, should be designed to enhance consumers’ perceived behavioural control and dietary practises. The findings of this study provide important insights for the development of dietary change intervention strategies.

  9. o

    Data from: Understanding why consumers in China ‘switch’ between wild,...

    • ora.ox.ac.uk
    Updated Jan 1, 2022
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    Hinsley, A (2022). Understanding why consumers in China ‘switch’ between wild, farmed, and synthetic bear bile products: dataset for choice experiments [Dataset]. https://ora.ox.ac.uk/objects/uuid:66ae7716-5ffa-46f1-9e0c-de174b5f1d6a
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    (7738852)Available download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    University of Oxford
    Authors
    Hinsley, A
    License

    https://ora.ox.ac.uk/terms_of_usehttps://ora.ox.ac.uk/terms_of_use

    Time period covered
    Jul 2019 - Aug 2019
    Area covered
    China
    Description

    An important rationale for legally-farmed and synthetic wildlife products are that they reduce illegal wild-sourced trade by supplying markets with sustainable alternatives. For this to work, more established illegal-product consumers must switch to legal alternatives than new legal-product consumers drawn to illegal wild products. Despite widespread debate on the magnitude and direction of switching, studies among actual consumers are lacking. We used an anonymous online survey of 1421 Traditional Chinese Medicine consumers in China to investigate switching between legal farmed, synthetic, and illegal wild bear bile. We examined past consumption behaviour, using GLMs and applied a discrete choice experiment framed within worsening hypothetical disease scenarios to investigate consumer preferences.

    Data were collected using the Wen Juan Xing (WJX, 问卷星 www.wjx.cn/) survey platform. Two sheets of data are included - one formatted for discrete choice experiment analysis (which includes only the final sample) and one formatted as one respondent per row, showing all responses including those that failed the quality control process. A coding key is included in a separate sheet.

  10. Nomenclature of dimensions and constructs of consumer behavior and cultural...

    • plos.figshare.com
    xls
    Updated Dec 16, 2024
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    Sheng Yuan; Wei-Lun Huang; Zhihan Chen; Hengbin Yin (2024). Nomenclature of dimensions and constructs of consumer behavior and cultural perceptions in foreign films and TV series. [Dataset]. http://doi.org/10.1371/journal.pone.0314416.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sheng Yuan; Wei-Lun Huang; Zhihan Chen; Hengbin Yin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Nomenclature of dimensions and constructs of consumer behavior and cultural perceptions in foreign films and TV series.

  11. Per capita consumer spending in urban and rural China 1990-2024

    • statista.com
    Updated Nov 29, 2025
    + more versions
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    Statista (2025). Per capita consumer spending in urban and rural China 1990-2024 [Dataset]. https://www.statista.com/statistics/1206636/per-capita-household-member-consumption-in-urban-rural-china/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the average annual per capita consumption expenditure of urban households in China amounted to around ****** yuan. The consumption expenditure of rural households reached more than half of the amount of their urban counterparts.

  12. Data_Sheet_1_The effect of COVID-19 risk perception on pro-environmental...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
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    Shuai Zhou (2023). Data_Sheet_1_The effect of COVID-19 risk perception on pro-environmental behavior of Chinese consumers: Perspectives from affective event theory.docx [Dataset]. http://doi.org/10.3389/fpsyg.2022.1093999.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Shuai Zhou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionCOVID-19 has altered human cognition and changed the cultural values of society. However, there has not been much debate among scholars about whether these above changes have led to an increase in pro-environmental behavior (PEB) of Chinese consumers.MethodsA comprehensive model was developed based on affective event theory. An online questionnaire was distributed, and 501 usable questionnaires were collected. In addition, two complementary approaches were employed: partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA).ResultsThe PLS-SEM results showed that COVID-19 risk perception, nostalgia, the awe of nature, and attitude were found to have a positive effect on PEB; and the moderating effect of power distance belief (PD) between nostalgia (NO), attitude (AT) and PEB was confirmed. According to the NCA results, AT and NO are necessary conditions for the PEB of consumers.DiscussionThis study provides deeper insight into the understanding of consumers’ pro-environmental behavior in the context of COVID-19 through the combined use of PLS-SEM and NCA.

  13. C

    Chinese Materia Medica for COVID-19 Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 2, 2025
    + more versions
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    Data Insights Market (2025). Chinese Materia Medica for COVID-19 Report [Dataset]. https://www.datainsightsmarket.com/reports/chinese-materia-medica-for-covid-19-1499371
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Feb 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Chinese Materia Medica for COVID-19 market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

  14. F

    Flower Cake Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jun 30, 2025
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    Market Report Analytics (2025). Flower Cake Report [Dataset]. https://www.marketreportanalytics.com/reports/flower-cake-240720
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The flower cake market, encompassing a diverse range of traditional and modern designs, presents a compelling growth opportunity. While precise market size data is unavailable, considering the presence of major players like Jiahua, Panxiangji, and Holiland, along with regional variations in consumption, a reasonable estimate for the 2025 market size could be in the range of $500-700 million USD. A Compound Annual Growth Rate (CAGR) of, for example, 5-7% over the forecast period (2025-2033) suggests a significant expansion, potentially driven by factors such as increasing disposable incomes, evolving consumer preferences towards premium and artisanal food products, and the growing popularity of flower cakes during festivals and celebrations. This growth is further fueled by innovative product development, including unique flavors, healthier ingredients, and visually appealing designs, catering to a wider demographic. However, challenges remain. Price fluctuations in raw materials, intense competition among established brands and emerging players, and evolving consumer tastes could potentially restrain market growth. Regional variations in consumption patterns will also influence market dynamics. The successful companies will leverage e-commerce platforms and innovative marketing strategies to effectively reach their target audiences. The segmentation of the market might further be categorized by product type (traditional vs. modern), distribution channel (online vs. offline), and price point (premium vs. budget-friendly), which offers potential for targeted marketing strategies. The future of the flower cake market hinges on several key factors. Brands that prioritize product quality, embrace technological advancements in production and distribution, and implement effective marketing strategies tailored to specific regional preferences and consumer segments are poised to gain a competitive edge. Understanding consumer behaviour and adapting to evolving trends will be crucial for sustainable growth. The market demonstrates potential for expansion in both domestic and international markets, potentially reaching higher value segments through premiumization and product diversification. Furthermore, focusing on sustainability and ethical sourcing of ingredients will be a significant differentiating factor for brands striving for a competitive advantage in an increasingly conscientious consumer market.

  15. f

    DataSheet1_Modelling the energy conservation behaviour among Chinese...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    txt
    Updated Jun 15, 2023
    + more versions
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    Abdullah Al Mamun; Naeem Hayat; Muhammad Mohiuddin; Anas A. Salameh; Noor Raihani Zainol (2023). DataSheet1_Modelling the energy conservation behaviour among Chinese households under the premises of value-belief-norm theory.CSV [Dataset]. http://doi.org/10.3389/fenrg.2022.954595.s001
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    txtAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    Frontiers
    Authors
    Abdullah Al Mamun; Naeem Hayat; Muhammad Mohiuddin; Anas A. Salameh; Noor Raihani Zainol
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Energy conservation is a necessary form of green behaviour, as energy production and consumption gravely affect the climate. The current study aimed to explore energy conservation behaviour among Chinese households based on the value-belief-norm framework. This study used a cross-sectional design and collected quantitative data from 1671 respondents through an online survey. The hybrid analysis techniques of partial least squares structural equation modelling and artificial neural network analysis were used to analyse the data. Findings revealed that biospheric values have a positive and significant effect on pro-environmental beliefs, awareness of consequences, and ascription of responsibility, which ultimately explains 46.3% of the change in personal norms and 42.6% of the change in green trust. The results shed light on the significant positive impact of green trust and personal norms on the energy conservation intention. Green trust and personal norms can elucidate 27.3% of the change in energy conservation intention. The energy conservation intention (39.1%) explains the energy conservation behaviour. The results of ANN analysis revealed energy conservation intention, personal norms, green trust, and awareness of consequences as the four most significant contributors to the formation of energy conservation behaviour. The current study extended the VNB model with the green trust. It offered empirical evidence on the effects of pro-environmental belief, awareness of consequences, and ascription of responsibility concerning energy conservation intention. Energy policies should thus concentrate on addressing energy conservation behaviour, promoting energy-efficient household appliances, and rewarding energy conservation by lowering energy prices for low-energy users.

  16. Data_Sheet_1_The public’s antibiotic use behavioural patterns and their...

    • frontiersin.figshare.com
    docx
    Updated Dec 15, 2023
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    Rujiao Lin; Lixia Duan; Chaojie Liu; Dan Wang; Xinping Zhang; Xi Wang; Xinyi Zhang; Qianning Wang; Shuangjiang Zheng; Chenxi Liu (2023). Data_Sheet_1_The public’s antibiotic use behavioural patterns and their determinants for upper respiratory tract infections: a latent class analysis based on consumer behaviour model in China.docx [Dataset]. http://doi.org/10.3389/fpubh.2023.1231370.s001
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    docxAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Rujiao Lin; Lixia Duan; Chaojie Liu; Dan Wang; Xinping Zhang; Xi Wang; Xinyi Zhang; Qianning Wang; Shuangjiang Zheng; Chenxi Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe irrational use of antibiotics among the public is a major contributor to antimicrobial resistance (AMR), which is a serious global threat. Prior studies have demonstrated that there are different behavioural patterns regarding antibiotic use among the public, and targeted interventions for subgroups with different behavioural patterns may be more effective. Thus, this study aimed to identify the public’s behavioural patterns of antibiotic use for upper respiratory tract infections (URTIs) and their influencing factors.MethodsA cross-sectional survey was conducted among the general population in Chongqing, China. Consumer decision-making (Consumer Behaviour Model, CBM) was used to assess the public’s behaviours regarding antibiotic use, including need recognition, information searching, alternative evaluation, obtaining antibiotics, antibiotic consumption, and postuse evaluation. Furthermore, a latent class analysis was used to identify the underlying behavioural patterns among the public. The identified behavioural patterns of antibiotic use were further linked with individuals’ capacity, opportunity, and motivation factors of antibiotic use based on a multinominal logistic regression to explore possible determinants.ResultsA total of 815 respondents were enrolled in the study. The public’s irrational use of antibiotics was prevalent, including antibiotic self-medication (39.63%), nonprescription antibiotic purchasing (59.02%), and early stopping of antibiotic prescriptions (76.56%). Participants had inadequate knowledge of antibiotics (Mean = 2.33, SD = 1.71), reported high availability to antibiotics (Mean = 7.13, SD = 2.41), held strong belief in antibiotic effectiveness (Mean = 10.29, SD = 2.71), and demonstrated a high perceived threat of AMR (Mean = 12.30, SD = 3.20). Four behavioural patterns regarding antibiotic use for URTIs were identified, namely, “antibiotic self-medicators” (n = 165, 20.25%), “formal health care seekers” (n = 216, 26.50%), “various treatment users” (n = 198, 24.20%), and “self-medication without antibiotics” (n = 236, 28.96%). Individuals’ self-efficacy of antibiotic use, belief in antibiotic effectiveness, awareness of antibiotic side effects, perceived antibiotic availability, social influence, and demographics (age, education, medical insurance, and having a medical background) were significantly associated with the public’s different behavioural patterns of antibiotic use for URTIs.ConclusionThis study calls for collaborative efforts among the public, physicians, policy makers, and the implementation of precise and multifaceted interventions to effectively reduce irrational use of antibiotics in the public. Such interventions include identifying subgroups within the public to provide more targeted education about antibiotics and the management of URTIs, reinforcing the regulation of antibiotic dispensing, and improving physicians’ rational antibiotic prescriptions.

  17. Coffee-commodity price and 5 company stocks

    • kaggle.com
    zip
    Updated May 10, 2024
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    Wei Hutchinson (2024). Coffee-commodity price and 5 company stocks [Dataset]. https://www.kaggle.com/weihutchinson/coffee-commodity-price-and-5-company-stocks
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    zip(596967 bytes)Available download formats
    Dataset updated
    May 10, 2024
    Authors
    Wei Hutchinson
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Overview This comprehensive dataset offers an in-depth look at the financial performance of five major entities within the coffee industry from 2014 to 2024 (up to May 8, 2024). Included are stock prices of Keurig Dr Pepper, Starbucks, J.M. Smucker, Luckin Coffee, and Nestlé, paired with the corresponding periodical commodity prices for coffee. This data facilitates robust analyses including time series analysis, correlation studies, volatility analysis, and Vector Autoregression (VAR) analysis.

    Key Companies Profiled Keurig Dr Pepper (KDP) and J.M. Smucker: These companies are leaders in the North American coffee market, known for their extensive portfolios of coffee products. Their data can provide insights into market strategies and financial health in response to fluctuating coffee prices. Starbucks: As a global leader in coffee retail, Starbucks' data reflects trends in consumer coffee consumption worldwide, offering a unique view of the retail sector's dynamics. Luckin Coffee: Representing a rapidly growing market, Luckin Coffee's data highlights the expansion and consumer trends within the Chinese coffee market. Nestlé: This global giant provides a broader perspective on how multinational food and beverage companies adapt to global commodity price changes, with a particular focus on coffee.

    Applications of the Dataset This dataset is ideal for researchers, economists, and data scientists interested in: Market Trend Analysis: Understand how global events and market forces influence coffee prices and, in turn, affect company stocks. Consumer Behaviour Studies: Analyse consumption patterns across different regions, especially with a focus on the burgeoning Asian markets. Risk Management and Forecasting: Develop models to predict future trends and prepare risk management strategies for companies within the food and beverage sector. Sustainability Studies: Explore how price volatility relates to environmental factors and sustainability initiatives.

  18. a

    China Online grocery Market research report, 2028

    • actualmarketresearch.com
    Updated Apr 29, 2023
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    Actual Market Research (2023). China Online grocery Market research report, 2028 [Dataset]. https://www.actualmarketresearch.com/product/china-online-grocery-market
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    Dataset updated
    Apr 29, 2023
    Dataset authored and provided by
    Actual Market Research
    License

    https://www.actualmarketresearch.com/license-informationhttps://www.actualmarketresearch.com/license-information

    Time period covered
    2021 - 2025
    Area covered
    Global, China
    Description

    The China online grocery market is anticipated to reach more than USD 676.19 Billion by 2028, changing consumer preferences and behaviour.

  19. Neoprene Market by End-user and Geography - Forecast and Analysis 2020-2024

    • technavio.com
    pdf
    Updated Aug 14, 2020
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    Technavio (2020). Neoprene Market by End-user and Geography - Forecast and Analysis 2020-2024 [Dataset]. https://www.technavio.com/report/neoprene-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Aug 14, 2020
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2019 - 2024
    Description

    Snapshot img

    The neoprene market size is expected to grow by 36.42 th MT and record a CAGR of 2% during 2020-2024.

    This post-pandemic global neoprene market report has assessed the shift in consumer behaviour and has identified and explored the upcoming trends and drivers that the vendors can capitalize on to support prompt business decisions. In this neoprene market analysis report, key drivers such as rising number of construction activities have been discussed with emerging growth regions, which will offer immense business opportunities. Our analysts have also identified challenges such as fluctuating crude oil prices, which will impede market growth. With these insights, the vendors can recreate their plan of action to obtain growth opportunities in the future.

    What will the Neoprene Market Size be in 2020?

    Browse TOC and LoE with selected illustrations and example pages of Neoprene Market

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    Who are the Key Vendors in the Neoprene Market?

    The neoprene market forecast report provides insights on complete key vendor profiles and their business strategies to reimage themselves. The profiles include information on the production, competitive landscape, sustainability, and prospects of the leading companies includng:

    Asahi Kasei Corp.
    BRP Manufacturing Co.
    Canada Rubber Group Inc.
    Chongqing Changshou Chemical Co. Ltd. 
    Denka Co. Ltd.
    LANXESS AG
    Macro International Co.
    SHOWA DENKO K.K.
    Tosoh Corp.
    Zenith Industrial Rubber Products Pvt. Ltd.
    

    The neoprene market is fragmented and the vendors are deploying various growth strategies to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

    This neoprene market report further entails segmentations by End-user (Automotive, Manufacturing, Consumer goods, and Others) and Geography (APAC, Europe, North America, South America, and MEA). View our sample report to gather market insights on the segmentations.

    To make the most of the opportunities, vendors should focus on fast-growing segments, while maintaining their positions in the slow-growing segments. Fetch actionable market insights on post COVID-19 impact on each product and service segments.

    Which are the Key Regional Markets for Neoprene Market?

    For more insights on the market share of various regions Request for a FREE sample now!

    The report offers an up-to-date analysis of the geographical composition of the market. APAC had the largest market share in the neoprene market in 2020, and the region will offer several growth opportunities to market vendors during the forecast period. The increased demand for neoprene from the developing economies will significantly influence biofuels market growth in this region. To garner further competitive intelligence and regional opportunities in store for vendors, view our sample report.

    59% of the market’s growth will originate from APAC during the forecast period. China, Japan, and India are the key markets for neoprene market in the region. This report provides estimations of the contribution of all regions to the growth of the neoprene market size.

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    What are the Key Factors Covered in this Neoprene Market Report?

    CAGR of the market during the forecast period 2020-2024
    Detailed information on factors that will drive neoprene market growth during the next five years
    Precise estimation of the neoprene market size and its contribution to the parent market
    Accurate predictions on upcoming trends and changes in consumer behavior
    The growth of the neoprene market industry across APAC, Europe, North America, South America, and MEA
    A thorough analysis of the market’s competitive landscape and detailed information on vendors
    Comprehensive details of factors that will challenge the growth of neoprene market vendors
    

    Need a Customized Report? Get in touch

        Neoprene Market Scope
    
    
    
    
        Report Coverage
    
    
        Details
    
    
    
    
        Page number
    
    
        120
    
    
    
    
        Base year
    
    
        2019
    
    
    
    
        Forecast period
    
    
        2020-2024
    
    
    
    
        Growth momentum & CAGR
    
    
        Decelerate at a CAGR of 2%
    
    
    
    
        Market growth 2020-2024
    
    
        36.42 th MT
    
    
    
    
        Market structure
    
    
        Fragmented
    
    
    
    
        YoY growth (%)
    
    
        2.00
    
    
    
    
        Regional analysis
    
    
        APAC, Europe, North America, South America, and MEA
    
    
    
    
        Performing market contribution
    
    
        APAC at 59%
    
    
    
    
        Key consumer countries
    
    
        China, US, Germany, Japan, and India
    
    
    
    
        Competitive landscape
    
    
        Leading companies, competitive strategies, consumer engagement scope
    
    
    
    
        Companies profiled
    
    
        Asahi Kasei Corp., BRP Manufacturing Co., Canada Rubber Group Inc., Chongqing Changshou Chemical Co. Ltd. , Denka Co. Ltd., LANXESS AG, Macro International Co.,
    
  20. Data_Sheet_1_The Influence of COVID-19 on Irrational Consumption Behavior in...

    • frontiersin.figshare.com
    zip
    Updated May 30, 2023
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    Hu Yue-Qian; Xie Piao; Wang Ying; Huang Zhi-Xin; Wu Yi-Ting; Sun Hai-Long (2023). Data_Sheet_1_The Influence of COVID-19 on Irrational Consumption Behavior in a Chinese Sample: Based on a Serial Mediating Model.zip [Dataset]. http://doi.org/10.3389/fpsyg.2021.718797.s001
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Hu Yue-Qian; Xie Piao; Wang Ying; Huang Zhi-Xin; Wu Yi-Ting; Sun Hai-Long
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Based on the scarcity theory, this study focuses on exploring the relationship between the severity of public health emergencies (i.e., COVID-19) and individual irrational consumer behaviors through the serial mediating variables of perceived scarcity (PS) and negative mentality (NM). An online questionnaire was used to collect data from participants in China and we obtained 466 effective (115 male and 351 female) questionnaires in total. The findings showed that the relationship between each pair of factors – perceived pandemic severity, PS, NM, and irrational consumption behaviors – was significantly positive. Although the perception of the severity of this public health emergency did not directly predict irrational consumer behavior, the effect was mediated by PS and NM independently and serially. These findings reveal that people who strongly perceive scarcity and are prone to negative attitudes are more likely to demonstrate irrational consumer behaviors (such as rushing to buy and hoard living supplies) once the public perceives a public health emergency as severe. This effect occurs because the PS that results from the epidemic affects people’s cognition, emotion, and behavior.

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Click to copy link
Link copied
Close
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TRADING ECONOMICS (2024). China Consumer Spending [Dataset]. https://tradingeconomics.com/china/consumer-spending

China Consumer Spending

China Consumer Spending - Historical Dataset (1952-12-31/2024-12-31)

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
json, csv, excel, xmlAvailable download formats
Dataset updated
Dec 15, 2024
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 31, 1952 - Dec 31, 2024
Area covered
China
Description

Consumer Spending in China increased to 538646.10 CNY Hundred Million in 2024 from 512120.60 CNY Hundred Million in 2023. This dataset provides - China Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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