100+ datasets found
  1. Consumer confidence in China 2020-2025

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Consumer confidence in China 2020-2025 [Dataset]. https://www.statista.com/statistics/271697/consumer-confidence-in-china/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020 - Sep 2025
    Area covered
    China
    Description

    In September 2025, the index for consumer confidence in China ranged at **** points, up from **** points in the previous month. The index dropped considerably in the first half of 2022 and performed a sideways movement during 2023 and 2024. Consumer confidence Index The consumer confidence index (CCI), also called Index of Consumer Sentiment (ICS) is a commonly used indicator to measure the degree of economic optimism among consumers. Based on information about saving and spending activities of consumers, changes in business climate and future spending behavior are being projected. The CCI plays an important role for investors, retailers, and manufacturers in their decision-making processes. However, measurement of consumer confidence varies strongly from country to country. As consumers need time to react to economic changes, the CCI tends to lag behind other indicators like the consumer price index (CPI) and the producer price index (PPI). Development in China As shown by the graph at hand, confidence among Chinese consumers picked up since mid of 2016. In October 2017, the CCI hit a record value of 127.6 index points and entered into a sideward movement. Owing to a relative stability in GDP growth, a low unemployment rate, and a steady development of disposable household income, Chinese consumers gained more confidence in the state of the national economy. Those factors also contribute to the consumers’ spending power, which was reflected by a larger share of consumption in China’s GDP. After the outbreak of the coronavirus pandemic, consumer confidence dropped quickly in the beginning of 2020, but started to recover in the second half of the year, leading to a v-shaped movement of the index in 2020.

  2. Popular ad styles among Chinese consumers 2022

    • statista.com
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    Statista, Popular ad styles among Chinese consumers 2022 [Dataset]. https://www.statista.com/statistics/1311352/china-preferred-ad-styles-among-consumers/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2022
    Area covered
    China
    Description

    A survey in April 2022 found out that minimalist was the most popular advertising style in China, with ** percent of respondents favoring it. Other beloved modes were traditional Chinese style and European vintage style.

  3. R

    Data from: The Role of Social Media in Shaping Chinese Consumers’ Attitudes...

    • repod.icm.edu.pl
    xlsx
    Updated Oct 15, 2025
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    Łopacińska, Karolina (2025). The Role of Social Media in Shaping Chinese Consumers’ Attitudes Towards Organic Food [Dataset]. http://doi.org/10.18150/AWFT2G
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    xlsx(300086)Available download formats
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    RepOD
    Authors
    Łopacińska, Karolina
    License

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

    Dataset funded by
    Narodowe Centrum Nauki
    Description

    The dataset contains the results of an empirical study conducted in 2022 as part of the Polish National Science Centre Miniature 5 project (No. 2021/05/X/HS4/01779), which forms the basis for the publication The Role of Social Media in Shaping Chinese Consumers’ Attitudes Towards Organic Food (Marketing of Scientific and Research Institutions, 2024, vol. 54, no. 4). The study was conducted using an online survey (CAWI) on a sample of 1,012 Chinese social media users from generations Y and Z.

  4. f

    A study on Chinese consumer preferences for food traceability information...

    • figshare.com
    pdf
    Updated Jun 4, 2023
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    Cheng Liu; Jiaoyuan Li; William Steele; Xiangming Fang (2023). A study on Chinese consumer preferences for food traceability information using best-worst scaling [Dataset]. http://doi.org/10.1371/journal.pone.0206793
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    pdfAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Cheng Liu; Jiaoyuan Li; William Steele; Xiangming Fang
    License

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

    Description

    Food safety is a global public health issue, which often arises from asymmetric information between consumers and suppliers. With the development of information technology in human life, building a food traceability information sharing platform is viewed as one of the best ways to overcome the trust crisis and resolve the problem of information asymmetry in China. However, among the myriad information available from the food supply chain, there is a lack of knowledge on consumer preference. Based on the best-worst scaling approach, this paper investigated consumer preferences for vegetable, pork, and dairy product traceability information. Specifically, this paper measured the relative importance that consumers place on the traceable information. The results indicate that consumers have varying priorities for information in different cases. “Pesticide/veterinary use,” “picking/slaughtering date,” and “fertilizer/feed use” are the most preferred traceable information for Chinese consumers in the case of vegetables, while “picking/slaughtering date” and “history of illness and taking protective measures” are the most preferred information in the case of pork. In the case of dairy products, consumers prefer “processing information,” “environmental information of the origin,” and “traceable tag certification information” most. The results of this study call for the direct involvement of the Chinese government in the food safety information sharing system as following. First, given consumers’ diverse preferences, different types of traceable information should be recorded into the information sharing platform depending on food types. Second, the government could promote the step-by-step construction of such a platform based on the priority of consumers’ preferences. Third, new technology should be applied to guarantee the reliability of traceable information. Finally, local preferences in terms of the way consumers receive and understand information should be taken into consideration.

  5. Chinese consumer expenditure share in the global luxury market 2000-2023

    • statista.com
    Updated May 15, 2019
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    Statista (2019). Chinese consumer expenditure share in the global luxury market 2000-2023 [Dataset]. https://www.statista.com/statistics/1087872/china-consumer-spending-share-in-global-luxury-market/
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    Dataset updated
    May 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2022, Chinese consumers contributed around ** percent of the global personal luxury goods market. It was estimated that the figure would reach ** percent to ** percent in 2023. Back in 2000, Chinese consumers' spending on personal luxury goods accounted for merely *** percent of the global expenditure.

  6. 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
    figshare
    Figsharehttp://figshare.com/
    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

  7. C

    China Consumer Confidence: Expectations Index

    • ceicdata.com
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    CEICdata.com, China Consumer Confidence: Expectations Index [Dataset]. https://www.ceicdata.com/en/china/consumer-confidence-survey/consumer-confidence-expectations-index
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2022 - Jan 1, 2023
    Area covered
    China
    Variables measured
    Consumer Survey
    Description

    China Consumer Confidence: Expectations Index data was reported at 75.927 Index in Jan 2023. This records an increase from the previous number of 72.545 Index for Dec 2022. China Consumer Confidence: Expectations Index data is updated monthly, averaging 69.642 Index from Mar 2010 (Median) to Jan 2023, with 155 observations. The data reached an all-time high of 77.833 Index in Jan 2021 and a record low of 61.265 Index in Dec 2011. China Consumer Confidence: Expectations Index data remains active status in CEIC and is reported by Ipsos Group S.A.. The data is categorized under Global Database’s China – Table CN.IPSOS: Consumer Confidence Survey.

  8. d

    China Consumer Interest Quant (Baidu Search Index) | Hedge Fund Signals |...

    • datarade.ai
    .json, .csv
    Updated Apr 1, 2024
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    Datago Technology Limited (2024). China Consumer Interest Quant (Baidu Search Index) | Hedge Fund Signals | 3000+ Global Consumer Brands | Daily [Dataset]. https://datarade.ai/data-products/china-consumer-interest-quant-baidu-search-index-hedge-fu-datago-technology-limited
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    .json, .csvAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    Datago Technology Limited
    Area covered
    China
    Description

    Baidu Search Index is a big data analytics tool developed by Baidu to track changes in keyword search popularity within its search engine. By analyzing trends in the Baidu Search Index for specific keywords, users can effectively monitor public interest in topics, companies, or brands.

    As an ecosystem partner of Baidu Index, Datago has direct access to keyword search index data from Baidu's database, leveraging this information to build the BSIA-Consumer. This database encompasses popular brands that are actively searched by Chinese consumers, along with their commonly used names. By tracking Baidu Index search trends for these keywords, Datago precisely maps them to their corresponding publicly listed stocks.

    The database covers over 1,100 consumer stocks and 3,000+ brand keywords across China, the United States, Europe, and Japan, with a particular focus on popular sectors like luxury goods and vehicles. Through its analysis of Chinese consumer search interest, this database offers investors a unique perspective on market sentiment, consumer preferences, and brand influence, including:

    • Brand Influence Tracking – By leveraging Baidu Search Index data, investors can assess the level of consumer interest in various brands, helping to evaluate their influence and trends within the Chinese market.

    • Consumer Stock Mapping – BSIA-consumer provides an accurate linkage between brand keywords and their associated consumer stocks, enabling investor analysis driven by consumer interest.

    • Coverage of Popular Consumer Goods – BSIA-consumer focuses specifically on trending sectors like luxury goods and vehicles, offering valuable insights into these industries.

    • Coverage: 1000+ consumer stocks

    • History: 2016-01-01

    • Update Frequency: Daily

  9. Major health product types bought by Chinese consumers in China 2019, by...

    • statista.com
    Updated Jul 15, 2020
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    Statista (2020). Major health product types bought by Chinese consumers in China 2019, by type [Dataset]. https://www.statista.com/statistics/1263809/china-leading-purchased-health-products-by-type/
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    Dataset updated
    Jul 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    China
    Description

    As of 2019, around ** percent of consumers in China bought healthy food, for example food with less fat and sodium. Meanwhile, around ** percent of Chinese consumers bought health-related home appliances, such as water purifiers.

  10. F

    Composite Leading Indicators: Composite Consumer Confidence Amplitude...

    • fred.stlouisfed.org
    json
    Updated Nov 17, 2025
    + more versions
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    (2025). Composite Leading Indicators: Composite Consumer Confidence Amplitude Adjusted for China [Dataset]. https://fred.stlouisfed.org/series/CSCICP03CNM665S
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    jsonAvailable download formats
    Dataset updated
    Nov 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    China
    Description

    Graph and download economic data for Composite Leading Indicators: Composite Consumer Confidence Amplitude Adjusted for China (CSCICP03CNM665S) from Jan 1990 to Dec 2023 about consumer sentiment, composite, China, and consumer.

  11. C

    China Consumer Confidence: Investment Index

    • ceicdata.com
    + more versions
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    CEICdata.com, China Consumer Confidence: Investment Index [Dataset]. https://www.ceicdata.com/en/china/consumer-confidence-survey/consumer-confidence-investment-index
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2022 - Jan 1, 2023
    Area covered
    China
    Variables measured
    Consumer Survey
    Description

    China Consumer Confidence: Investment Index data was reported at 73.412 Index in Jan 2023. This records an increase from the previous number of 73.138 Index for Dec 2022. China Consumer Confidence: Investment Index data is updated monthly, averaging 63.748 Index from Mar 2010 (Median) to Jan 2023, with 155 observations. The data reached an all-time high of 79.136 Index in Oct 2018 and a record low of 47.431 Index in Jan 2012. China Consumer Confidence: Investment Index data remains active status in CEIC and is reported by Ipsos Group S.A.. The data is categorized under Global Database’s China – Table CN.IPSOS: Consumer Confidence Survey.

  12. C

    China Consumer Goods per 100 Urban Household: Computer

    • ceicdata.com
    Updated Dec 15, 2020
    + more versions
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    CEICdata.com (2020). China Consumer Goods per 100 Urban Household: Computer [Dataset]. https://www.ceicdata.com/en/china/durable-consumer-goods-per-urban-household/consumer-goods-per-100-urban-household-computer
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    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Household Income and Expenditure Survey
    Description

    China Consumer Goods per 100 Urban Household: Computer data was reported at 58.187 Unit in 2023. This records a decrease from the previous number of 63.392 Unit for 2022. China Consumer Goods per 100 Urban Household: Computer data is updated yearly, averaging 63.200 Unit from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 87.030 Unit in 2012 and a record low of 2.600 Unit in 1997. China Consumer Goods per 100 Urban Household: Computer data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Durable Consumer Goods per Urban Household.

  13. Subjective priority of traceable information preferred by consumers in the...

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
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    Cheng Liu; Jiaoyuan Li; William Steele; Xiangming Fang (2023). Subjective priority of traceable information preferred by consumers in the case of dairy. [Dataset]. http://doi.org/10.1371/journal.pone.0206793.t005
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng Liu; Jiaoyuan Li; William Steele; Xiangming Fang
    License

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

    Description

    Subjective priority of traceable information preferred by consumers in the case of dairy.

  14. C

    China Retail Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Aug 14, 2025
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    Market Report Analytics (2025). China Retail Market Report [Dataset]. https://www.marketreportanalytics.com/reports/china-retail-market-4354
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Aug 14, 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
    China
    Variables measured
    Market Size
    Description

    Discover the booming China retail market! This in-depth analysis reveals a $2508.52 million market in 2025, projected to grow at an 8.09% CAGR through 2033. Explore key drivers, trends, challenges, and leading companies shaping this dynamic sector. Learn about e-commerce giants, consumer behavior, and market segmentation.

  15. Subjective priority of traceable information preferred by consumers in the...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Cheng Liu; Jiaoyuan Li; William Steele; Xiangming Fang (2023). Subjective priority of traceable information preferred by consumers in the case of pork. [Dataset]. http://doi.org/10.1371/journal.pone.0206793.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng Liu; Jiaoyuan Li; William Steele; Xiangming Fang
    License

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

    Description

    Subjective priority of traceable information preferred by consumers in the case of pork.

  16. F

    Prices: Consumer Price Index for China, P.R.: Hong Kong

    • fred.stlouisfed.org
    json
    Updated Nov 6, 2024
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    (2024). Prices: Consumer Price Index for China, P.R.: Hong Kong [Dataset]. https://fred.stlouisfed.org/series/HKGPCPIPCPPPT
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    jsonAvailable download formats
    Dataset updated
    Nov 6, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Hong Kong, China
    Description

    Graph and download economic data for Prices: Consumer Price Index for China, P.R.: Hong Kong (HKGPCPIPCPPPT) from 1990 to 2029 about Hong Kong, consumer prices, China, consumer, rate, and indexes.

  17. C

    China CPI: Urban: MP: HC: Traditional Chinese Medicine

    • ceicdata.com
    + more versions
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    CEICdata.com, China CPI: Urban: MP: HC: Traditional Chinese Medicine [Dataset]. https://www.ceicdata.com/en/china/consumer-price-index-urban/cpi-urban-mp-hc-traditional-chinese-medicine
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Consumer Prices
    Description

    China Consumer Price Index (CPI): Urban: MP: HC: Traditional Chinese Medicine data was reported at 105.600 Prev Year=100 in 2023. This records an increase from the previous number of 102.600 Prev Year=100 for 2022. China Consumer Price Index (CPI): Urban: MP: HC: Traditional Chinese Medicine data is updated yearly, averaging 105.104 Prev Year=100 from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 112.700 Prev Year=100 in 1996 and a record low of 96.300 Prev Year=100 in 2002. China Consumer Price Index (CPI): Urban: MP: HC: Traditional Chinese Medicine data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.IA: Consumer Price Index: Urban.

  18. Food fraud and the perceived integrity of European food imports into China

    • plos.figshare.com
    docx
    Updated Jun 6, 2023
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    H. Kendall; P. Naughton; S. Kuznesof; M. Raley; M. Dean; B. Clark; H. Stolz; R. Home; M. Y. Chan; Q. Zhong; P. Brereton; L. J. Frewer (2023). Food fraud and the perceived integrity of European food imports into China [Dataset]. http://doi.org/10.1371/journal.pone.0195817
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    docxAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    H. Kendall; P. Naughton; S. Kuznesof; M. Raley; M. Dean; B. Clark; H. Stolz; R. Home; M. Y. Chan; Q. Zhong; P. Brereton; L. J. Frewer
    License

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

    Area covered
    China
    Description

    Background/AimsPersistent incidents of food fraud in China have resulted in low levels of consumer trust in the authenticity and safety of food that is domestically produced. We examined the relationship between the concerns of Chinese consumers regarding food fraud, and the role that demonstrating authenticity may play in relieving those concerns.MethodsA two-stage mixed method design research design was adopted. First, qualitative research (focus groups n = 7) was conducted in three Chinese cities, Beijing, Guangzhou and Chengdu to explore concerns held by Chinese consumers in relation to food fraud. A subsequent quantitative survey (n = 850) tested hypotheses derived from the qualitative research and theoretical literature regarding the relationship between attitudinal measures (including risk perceptions, social trust, and perceptions of benefit associated with demonstrating authenticity), and behavioral intention to purchase “authentic” European products using structural equation modelling.ResultsChinese consumers perceive food fraud to be a hazard that represents a food safety risk. Food hazard concern was identified to be geographically influenced. Consumers in Chengdu (tier 2 city) possessed higher levels of hazard concern compared to consumers in Beijing and Guangzhou (tier 1). Structural trust (i.e. trust in actors and the governance of the food supply chain) was not a significant predictor of attitude and intention to purchase authenticated food products. Consumers were shown to have developed ‘risk-relieving’ strategies to compensate for the lack of trust in Chinese food and the dissonance experienced as a consequence of food fraud. Indexical and iconic authenticity cues provided by food manufacturers and regulators were important elements of product evaluations, although geographical differences in their perceived importance were observed.ConclusionsTargeted communication of authenticity assurance measures, including; regulations; enforcement; product testing; and actions taken by industry may improve Chinese consumer trust in the domestic food supply chain and reduce consumer concerns regarding the food safety risks associated with food fraud. To support product differentiation and retain prestige, European food manufactures operating within the Chinese market should recognise regional disparities in consumer risk perceptions regarding food fraud and the importance of personal risk mitigation strategies adopted by Chinese consumers to support the identification of authentic products.

  19. Preferred online shopping platforms for Chinese consumers 2024

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Preferred online shopping platforms for Chinese consumers 2024 [Dataset]. https://www.statista.com/statistics/1559064/china-leading-online-shopping-channels/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2024
    Area covered
    China
    Description

    According to a 2024 survey, nearly ** percent of Chinese consumers preferred to use traditional e-commerce platforms such as Taobao and JD.com to conduct online purchases. Short-video platforms, such as Douyin and Kuaishou, ranked second with about ** percent of respondents using them.

  20. C

    China CPI: Core (excl. Food & Energy)

    • ceicdata.com
    Updated Oct 15, 2025
    + more versions
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    CEICdata.com (2025). China CPI: Core (excl. Food & Energy) [Dataset]. https://www.ceicdata.com/en/china/consumer-price-index-same-month-py100/cpi-core-excl-food--energy
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Consumer Prices
    Description

    China Consumer Price Index (CPI): Core (excl. Food & Energy) data was reported at 100.500 Prev Year=100 in Mar 2025. This records an increase from the previous number of 99.900 Prev Year=100 for Feb 2025. China Consumer Price Index (CPI): Core (excl. Food & Energy) data is updated monthly, averaging 101.200 Prev Year=100 from Jan 2006 (Median) to Mar 2025, with 231 observations. The data reached an all-time high of 102.500 Prev Year=100 in Feb 2018 and a record low of 98.400 Prev Year=100 in Aug 2009. China Consumer Price Index (CPI): Core (excl. Food & Energy) data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.IA: Consumer Price Index: Same Month PY=100.

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Statista (2025). Consumer confidence in China 2020-2025 [Dataset]. https://www.statista.com/statistics/271697/consumer-confidence-in-china/
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Consumer confidence in China 2020-2025

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 19, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Sep 2020 - Sep 2025
Area covered
China
Description

In September 2025, the index for consumer confidence in China ranged at **** points, up from **** points in the previous month. The index dropped considerably in the first half of 2022 and performed a sideways movement during 2023 and 2024. Consumer confidence Index The consumer confidence index (CCI), also called Index of Consumer Sentiment (ICS) is a commonly used indicator to measure the degree of economic optimism among consumers. Based on information about saving and spending activities of consumers, changes in business climate and future spending behavior are being projected. The CCI plays an important role for investors, retailers, and manufacturers in their decision-making processes. However, measurement of consumer confidence varies strongly from country to country. As consumers need time to react to economic changes, the CCI tends to lag behind other indicators like the consumer price index (CPI) and the producer price index (PPI). Development in China As shown by the graph at hand, confidence among Chinese consumers picked up since mid of 2016. In October 2017, the CCI hit a record value of 127.6 index points and entered into a sideward movement. Owing to a relative stability in GDP growth, a low unemployment rate, and a steady development of disposable household income, Chinese consumers gained more confidence in the state of the national economy. Those factors also contribute to the consumers’ spending power, which was reflected by a larger share of consumption in China’s GDP. After the outbreak of the coronavirus pandemic, consumer confidence dropped quickly in the beginning of 2020, but started to recover in the second half of the year, leading to a v-shaped movement of the index in 2020.

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